From abacae76416c0f21d0479a4e6131ba737337694d Mon Sep 17 00:00:00 2001
From: adrientaudiere <adrientaudiere@users.noreply.github.com>
Date: Sat, 10 Feb 2024 07:14:23 +0000
Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20adrienta?=
 =?UTF-8?q?udiere/MiscMetabar@0053012c2e9bbc78c4a500ee8d0e9845355ca898=20?=
 =?UTF-8?q?=F0=9F=9A=80?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 404.html                                      |    2 +-
 CODE_OF_CONDUCT.html                          |    2 +-
 CONTRIBUTING.html                             |    2 +-
 LICENSE.html                                  |    2 +-
 articles/MiscMetabar.html                     |  119 +-
 .../figure-html/unnamed-chunk-4-1.png         |  Bin 185328 -> 146712 bytes
 articles/Reclustering.html                    |   14 +-
 .../figure-html/unnamed-chunk-4-2.png         |  Bin 118177 -> 117994 bytes
 articles/Rules.html                           |    2 +-
 articles/alpha-div.html                       |    6 +-
 .../figure-html/unnamed-chunk-5-1.png         |  Bin 162191 -> 164546 bytes
 articles/beta-div.html                        |    8 +-
 .../figure-html/unnamed-chunk-13-1.png        |  Bin 211037 -> 209839 bytes
 .../figure-html/unnamed-chunk-14-1.png        |  Bin 198337 -> 198579 bytes
 .../figure-html/unnamed-chunk-3-1.png         |  Bin 90209 -> 91784 bytes
 articles/explore_data.html                    | 8280 ++++++++---------
 articles/filter.html                          |   26 +-
 articles/import_export_track.html             |    6 +-
 articles/index.html                           |    2 +-
 articles/states_of_fields_in_R.html           |    2 +-
 articles/tengeler.html                        |   10 +-
 .../figure-html/unnamed-chunk-12-1.png        |  Bin 93073 -> 93337 bytes
 .../figure-html/unnamed-chunk-13-1.png        |  Bin 450629 -> 448752 bytes
 .../figure-html/unnamed-chunk-19-1.png        |  Bin 113530 -> 113234 bytes
 .../figure-html/unnamed-chunk-20-1.png        |  Bin 229482 -> 229667 bytes
 .../figure-html/unnamed-chunk-6-1.png         |  Bin 96200 -> 95339 bytes
 .../figure-html/unnamed-chunk-8-1.png         |  Bin 289678 -> 290666 bytes
 articles/tree_visualization.html              |    6 +-
 .../figure-html/unnamed-chunk-3-3.png         |  Bin 432138 -> 465351 bytes
 authors.html                                  |    6 +-
 index.html                                    |   10 +-
 news/index.html                               |    2 +-
 pkgdown.yml                                   |    2 +-
 reference/LCBD_pq.html                        |    2 +-
 reference/MiscMetabar-deprecated.html         |    2 +-
 reference/MiscMetabar-package.html            |    2 +-
 reference/SRS_curve_pq.html                   |    2 +-
 reference/Tengeler2020_pq.html                |    2 +-
 reference/accu_plot.html                      |    2 +-
 reference/accu_samp_threshold.html            |    2 +-
 reference/add_blast_info.html                 |    2 +-
 reference/add_dna_to_phyloseq.html            |    2 +-
 reference/add_funguild_info.html              |    2 +-
 reference/add_info_to_sam_data.html           |    2 +-
 reference/add_new_taxonomy_pq.html            |    2 +-
 reference/adonis_pq.html                      |    2 +-
 reference/all_object_size.html                |    2 +-
 reference/ancombc_pq.html                     |    2 +-
 reference/are_modality_even_depth.html        |    2 +-
 reference/as_binary_otu_table.html            |    2 +-
 reference/asv2otu.html                        |    4 +-
 reference/biplot_pq.html                      |    2 +-
 reference/blast_pq.html                       |    2 +-
 reference/blast_to_derep.html                 |    2 +-
 reference/blast_to_phyloseq.html              |    2 +-
 reference/build_phytree_pq.html               |    2 +-
 reference/chimera_detection_vs.html           |    2 +-
 reference/chimera_removal_vs.html             |    2 +-
 reference/circle_pq.html                      |    2 +-
 reference/clean_pq.html                       |    2 +-
 reference/compare_pairs_pq.html               |    2 +-
 reference/count_seq.html                      |    2 +-
 reference/cutadapt_remove_primers.html        |    2 +-
 reference/data_fungi.html                     |    2 +-
 reference/data_fungi_mini.html                |    2 +-
 reference/data_fungi_sp_known.html            |    2 +-
 reference/diff_fct_diff_class.html            |    2 +-
 reference/dist_bycol.html                     |    2 +-
 reference/dist_pos_control.html               |    2 +-
 reference/filter_asv_blast.html               |    2 +-
 reference/filter_trim.html                    |    2 +-
 reference/funguild_assign.html                |    2 +-
 reference/funky_color.html                    |    2 +-
 reference/get_file_extension.html             |    2 +-
 reference/get_funguild_db.html                |    2 +-
 reference/ggbetween_pq.html                   |    2 +-
 reference/ggvenn_pq.html                      |    2 +-
 reference/graph_test_pq.html                  |    2 +-
 reference/heat_tree_pq.html                   |    2 +-
 reference/hill_pq.html                        |    2 +-
 reference/hill_tuckey_pq.html                 |    2 +-
 reference/iNEXT_pq.html                       |    2 +-
 reference/index.html                          |    2 +-
 reference/install_pkg_needed.html             |    2 +-
 reference/krona.html                          |   13 +-
 reference/list_fastq_files.html               |    2 +-
 reference/lulu.html                           |    2 +-
 reference/lulu_pq.html                        |    2 +-
 reference/merge_krona.html                    |    7 +-
 reference/merge_samples2.html                 |    2 +-
 reference/merge_taxa_vec.html                 |    2 +-
 reference/multi_biplot_pq.html                |    2 +-
 reference/multipatt_pq.html                   |    2 +-
 reference/multiplot.html                      |    2 +-
 reference/multitax_bar_pq.html                |    2 +-
 reference/mumu_pq.html                        |    2 +-
 reference/perc.html                           |    2 +-
 reference/phyloseq_to_edgeR.html              |    2 +-
 reference/physeq_or_string_to_dna.html        |    2 +-
 reference/plot_LCBD_pq.html                   |    2 +-
 reference/plot_SCBD_pq.html                   |    2 +-
 reference/plot_deseq2_pq.html                 |    2 +-
 reference/plot_edgeR_pq.html                  |    2 +-
 reference/plot_guild_pq.html                  |    2 +-
 reference/plot_mt.html                        |    2 +-
 reference/plot_tax_pq.html                    |    2 +-
 reference/plot_tsne_pq.html                   |    2 +-
 reference/read_pq.html                        |    2 +-
 reference/rename_samples.html                 |    2 +-
 reference/rename_samples_otu_table.html       |    2 +-
 reference/reorder_taxa_pq.html                |    2 +-
 reference/ridges_pq.html                      |    2 +-
 reference/rotl_pq.html                        |    2 +-
 reference/sample_data_with_new_names.html     |    2 +-
 reference/sankey_pq.html                      |    2 +-
 reference/save_pq.html                        |    2 +-
 reference/search_exact_seq_pq.html            |    2 +-
 reference/select_one_sample.html              |    2 +-
 reference/select_taxa-methods.html            |    2 +-
 reference/simplify_taxo.html                  |    2 +-
 reference/subsample_fastq.html                |    2 +-
 reference/subset_samples_pq.html              |    2 +-
 reference/subset_taxa_pq.html                 |    2 +-
 reference/subset_taxa_tax_control.html        |    2 +-
 reference/summary_plot_pq.html                |    2 +-
 reference/swarm_clustering.html               |    2 +-
 reference/tax_bar_pq.html                     |    2 +-
 reference/tax_datatable.html                  |    2 +-
 reference/tbl_sum_samdata.html                |    2 +-
 reference/track_wkflow.html                   |   29 +-
 reference/track_wkflow_samples.html           |    5 +-
 reference/treemap_pq.html                     |    2 +-
 reference/tsne_pq.html                        |    2 +-
 reference/unique_or_na.html                   |    2 +-
 reference/upset_pq.html                       |    2 +-
 reference/upset_test_pq.html                  |    2 +-
 reference/venn_pq.html                        |    2 +-
 reference/verify_pq.html                      |    2 +-
 reference/vs_search_global.html               |    2 +-
 reference/vsearch_clustering.html             |    2 +-
 reference/write_pq.html                       |   10 +-
 search.json                                   |    2 +-
 142 files changed, 4408 insertions(+), 4375 deletions(-)

diff --git a/404.html b/404.html
index de5f23ba..f72dd13b 100644
--- a/404.html
+++ b/404.html
@@ -31,7 +31,7 @@
     
     <a class="navbar-brand me-2" href="https://adrientaudiere.github.io/MiscMetabar/index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/CODE_OF_CONDUCT.html b/CODE_OF_CONDUCT.html
index 11228ed8..67fd2262 100644
--- a/CODE_OF_CONDUCT.html
+++ b/CODE_OF_CONDUCT.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/CONTRIBUTING.html b/CONTRIBUTING.html
index 97db1ee2..8d8b26c5 100644
--- a/CONTRIBUTING.html
+++ b/CONTRIBUTING.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/LICENSE.html b/LICENSE.html
index 099e250f..6aab7f55 100644
--- a/LICENSE.html
+++ b/LICENSE.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/articles/MiscMetabar.html b/articles/MiscMetabar.html
index 739cca82..84d9b3a2 100644
--- a/articles/MiscMetabar.html
+++ b/articles/MiscMetabar.html
@@ -33,7 +33,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -142,8 +142,9 @@ <h3 id="quick-overview">Quick overview<a class="anchor" aria-label="anchor" href
 taxa and samples</a> describes some data-filtering processes using
 MiscMetabar and the <a href="https://adrientaudiere.github.io/MiscMetabar/articles/Reclustering.html">reclustering</a>
 tutorial introduces the different way of clustering already-clustered
-OTU/ASV. The vignette <a href="">tengeler</a> explore the dataset from
-Tengeler et al. (2020) using some MiscMetabar functions.</p>
+OTU/ASV. The vignette <a href="https://adrientaudiere.github.io/MiscMetabar/articles/tengeler.html">tengeler</a>
+explore the dataset from Tengeler et al. (2020) using some MiscMetabar
+functions.</p>
 <p>For developers, I also wrote a vignette describing som <a href="https://adrientaudiere.github.io/MiscMetabar/articles/Rules.html">rules
 of codes</a>.</p>
 <div class="section level4">
@@ -168,8 +169,8 @@ <h4 id="create-an-interactive-table-of-the-tax_table">Create an interactive tabl
 <span>  <span class="va">GlobalPatterns</span>,</span>
 <span>  <span class="fu"><a href="https://rdrr.io/r/base/colSums.html" class="external-link">rowSums</a></span><span class="op">(</span><span class="va">GlobalPatterns</span><span class="op">@</span><span class="va">otu_table</span><span class="op">)</span> <span class="op">&gt;</span> <span class="fl">100000</span></span>
 <span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
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 </div>
 <div class="section level4">
 <h4 id="sankey-diagram-of-the-tax_table">Sankey diagram of the tax_table<a class="anchor" aria-label="anchor" href="#sankey-diagram-of-the-tax_table"></a>
@@ -177,15 +178,15 @@ <h4 id="sankey-diagram-of-the-tax_table">Sankey diagram of the tax_table<a class
 <div class="sourceCode" id="cb3"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">gp</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/phyloseq/man/subset_taxa-methods.html" class="external-link">subset_taxa</a></span><span class="op">(</span><span class="va">GlobalPatterns</span>, <span class="va">GlobalPatterns</span><span class="op">@</span><span class="va">tax_table</span><span class="op">[</span>, <span class="fl">1</span><span class="op">]</span> <span class="op">==</span> <span class="st">"Archaea"</span><span class="op">)</span></span>
 <span><span class="fu"><a href="../reference/sankey_pq.html">sankey_pq</a></span><span class="op">(</span><span class="va">gp</span>, taxa <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">1</span><span class="op">:</span><span class="fl">5</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
-<div class="sankeyNetwork html-widget html-fill-item" id="htmlwidget-3eb8271975397be61a81" style="width:700px;height:432.632880098888px;"></div>
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+<div class="sankeyNetwork html-widget html-fill-item" id="htmlwidget-56d333cb483550e082c6" style="width:700px;height:432.632880098888px;"></div>
+<script type="application/json" data-for="htmlwidget-56d333cb483550e082c6">{"x":{"links":{"source":[0,0,1,2,2,2,1,1,1,2,1,3,4,5,6,7,8,8,4,9,3,10,11,12,13,13,14,15,16,16,13,14,17,13,11,18,13,14],"target":[1,2,3,6,7,8,19,9,4,5,10,20,11,13,12,14,15,16,17,21,22,18,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"value":[106,102,27,7,27,24,8,8,57,44,3,7,37,44,7,27,12,12,20,5,18,1,34,7,10,1,25,2,5,6,3,1,20,16,3,1,12,1]},"nodes":{"name":["Archaea","Crenarchaeota","Euryarchaeota","C2","Thaumarchaeota","Thermoplasmata","Halobacteria","Methanobacteria","Methanomicrobia","SdNA","Thermoprotei","Cenarchaeales","Halobacteriales","E2","Methanobacteriales","Methanomicrobiales","Methanosarcinales","Nitrososphaerales","Sulfolobales","pMC2A209","B10","NRPJ","pGrfC26","Cenarchaeaceae","Halobacteriaceae","MarinegroupII","MarinegroupIII","Methanobacteriaceae","Methanocorpusculaceae","Methanosaetaceae","Methanosarcinaceae","MOB79","MSBL1","Nitrososphaeraceae","pMC2A33","SAGMAX","Sulfolobaceae","WCHD302","WSA2"],"group":["Archaea","Crenarchaeota","Euryarchaeota","C2","Thaumarchaeota","Thermoplasmata","Halobacteria","Methanobacteria","Methanomicrobia","SdNA","Thermoprotei","Cenarchaeales","Halobacteriales","E2","Methanobacteriales","Methanomicrobiales","Methanosarcinales","Nitrososphaerales","Sulfolobales","pMC2A209","B10","NRPJ","pGrfC26","Cenarchaeaceae","Halobacteriaceae","MarinegroupII","MarinegroupIII","Methanobacteriaceae","Methanocorpusculaceae","Methanosaetaceae","Methanosarcinaceae","MOB79","MSBL1","Nitrososphaeraceae","pMC2A33","SAGMAX","Sulfolobaceae","WCHD302","WSA2"]},"options":{"NodeID":"name","NodeGroup":"name","LinkGroup":null,"colourScale":"d3.scaleOrdinal(d3.schemeCategory20);","fontSize":7,"fontFamily":null,"nodeWidth":15,"nodePadding":10,"units":"OTUs","margin":{"top":null,"right":null,"bottom":null,"left":null},"iterations":32,"sinksRight":true}},"evals":[],"jsHooks":[]}</script>
 </div>
 <div class="section level4">
-<h4 id="circle-for-visualize-distribution-of-taxa-in-function-of-samples-variables">Circle for visualize distribution of taxa in function of samples
-variables<a class="anchor" aria-label="anchor" href="#circle-for-visualize-distribution-of-taxa-in-function-of-samples-variables"></a>
+<h4 id="upset-plot-for-visualize-distribution-of-taxa-in-function-of-samples-variables">Upset plot for visualize distribution of taxa in function of samples
+variables<a class="anchor" aria-label="anchor" href="#upset-plot-for-visualize-distribution-of-taxa-in-function-of-samples-variables"></a>
 </h4>
 <div class="sourceCode" id="cb4"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="fu"><a href="../reference/circle_pq.html">circle_pq</a></span><span class="op">(</span><span class="va">gp</span>, <span class="st">"SampleType"</span>, taxa <span class="op">=</span> <span class="st">"Class"</span><span class="op">)</span></span></code></pre></div>
+<code class="sourceCode R"><span><span class="fu"><a href="../reference/upset_pq.html">upset_pq</a></span><span class="op">(</span><span class="va">gp</span>, <span class="st">"SampleType"</span>, taxa <span class="op">=</span> <span class="st">"Class"</span><span class="op">)</span></span></code></pre></div>
 <p><img src="MiscMetabar_files/figure-html/unnamed-chunk-4-1.png" width="700"></p>
 </div>
 </div>
@@ -223,57 +224,57 @@ <h2 id="session-inform">Session inform<a class="anchor" aria-label="anchor" href
 <span><span class="co">#&gt; [1] stats     graphics  grDevices utils     datasets  methods   base     </span></span>
 <span><span class="co">#&gt; </span></span>
 <span><span class="co">#&gt; other attached packages:</span></span>
-<span><span class="co">#&gt; [1] magrittr_2.0.3    MiscMetabar_0.7.4 dplyr_1.1.4       dada2_1.30.0     </span></span>
+<span><span class="co">#&gt; [1] magrittr_2.0.3    MiscMetabar_0.7.5 dplyr_1.1.4       dada2_1.30.0     </span></span>
 <span><span class="co">#&gt; [5] Rcpp_1.0.12       ggplot2_3.4.4     phyloseq_1.46.0  </span></span>
 <span><span class="co">#&gt; </span></span>
 <span><span class="co">#&gt; loaded via a namespace (and not attached):</span></span>
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-<span><span class="co">#&gt;   [5] rlang_1.1.3                 ade4_1.7-22                </span></span>
-<span><span class="co">#&gt;   [7] matrixStats_1.2.0           compiler_4.3.2             </span></span>
-<span><span class="co">#&gt;   [9] mgcv_1.9-0                  png_0.1-8                  </span></span>
-<span><span class="co">#&gt;  [11] systemfonts_1.0.5           vctrs_0.6.5                </span></span>
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-<span><span class="co">#&gt;  [15] shape_1.4.6                 pkgconfig_2.0.3            </span></span>
-<span><span class="co">#&gt;  [17] crayon_1.5.2                fastmap_1.1.1              </span></span>
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-<span><span class="co">#&gt;  [57] vegan_2.6-4                 codetools_0.2-19           </span></span>
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-<span><span class="co">#&gt;  [93] colorspace_2.1-0            networkD3_0.4              </span></span>
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+<span><span class="co">#&gt;  [11] vctrs_0.6.5                 reshape2_1.4.4             </span></span>
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+<span><span class="co">#&gt;  [43] ComplexUpset_1.3.3          GenomicRanges_1.54.1       </span></span>
+<span><span class="co">#&gt;  [45] jquerylib_0.1.4             SummarizedExperiment_1.32.0</span></span>
+<span><span class="co">#&gt;  [47] iterators_1.0.14            knitr_1.45                 </span></span>
+<span><span class="co">#&gt;  [49] IRanges_2.36.0              Matrix_1.6-1.1             </span></span>
+<span><span class="co">#&gt;  [51] splines_4.3.2               igraph_2.0.1.1             </span></span>
+<span><span class="co">#&gt;  [53] tidyselect_1.2.0            abind_1.4-5                </span></span>
+<span><span class="co">#&gt;  [55] yaml_2.3.8                  vegan_2.6-4                </span></span>
+<span><span class="co">#&gt;  [57] codetools_0.2-19            hwriter_1.3.2.1            </span></span>
+<span><span class="co">#&gt;  [59] lattice_0.21-9              tibble_3.2.1               </span></span>
+<span><span class="co">#&gt;  [61] plyr_1.8.9                  Biobase_2.62.0             </span></span>
+<span><span class="co">#&gt;  [63] withr_3.0.0                 ShortRead_1.60.0           </span></span>
+<span><span class="co">#&gt;  [65] evaluate_0.23               desc_1.4.3                 </span></span>
+<span><span class="co">#&gt;  [67] survival_3.5-7              RcppParallel_5.1.7         </span></span>
+<span><span class="co">#&gt;  [69] Biostrings_2.70.2           pillar_1.9.0               </span></span>
+<span><span class="co">#&gt;  [71] MatrixGenerics_1.14.0       DT_0.31                    </span></span>
+<span><span class="co">#&gt;  [73] foreach_1.5.2               stats4_4.3.2               </span></span>
+<span><span class="co">#&gt;  [75] generics_0.1.3              RCurl_1.98-1.14            </span></span>
+<span><span class="co">#&gt;  [77] S4Vectors_0.40.2            munsell_0.5.0              </span></span>
+<span><span class="co">#&gt;  [79] scales_1.3.0                glue_1.7.0                 </span></span>
+<span><span class="co">#&gt;  [81] tools_4.3.2                 interp_1.1-6               </span></span>
+<span><span class="co">#&gt;  [83] data.table_1.15.0           GenomicAlignments_1.38.2   </span></span>
+<span><span class="co">#&gt;  [85] fs_1.6.3                    rhdf5_2.46.1               </span></span>
+<span><span class="co">#&gt;  [87] grid_4.3.2                  tidyr_1.3.1                </span></span>
+<span><span class="co">#&gt;  [89] ape_5.7-1                   crosstalk_1.2.1            </span></span>
+<span><span class="co">#&gt;  [91] latticeExtra_0.6-30         colorspace_2.1-0           </span></span>
+<span><span class="co">#&gt;  [93] patchwork_1.2.0             networkD3_0.4              </span></span>
 <span><span class="co">#&gt;  [95] nlme_3.1-163                GenomeInfoDbData_1.2.11    </span></span>
 <span><span class="co">#&gt;  [97] cli_3.6.2                   textshaping_0.3.7          </span></span>
 <span><span class="co">#&gt;  [99] fansi_1.0.6                 S4Arrays_1.2.0             </span></span>
@@ -283,7 +284,7 @@ <h2 id="session-inform">Session inform<a class="anchor" aria-label="anchor" href
 <span><span class="co">#&gt; [107] farver_2.1.1                memoise_2.0.1              </span></span>
 <span><span class="co">#&gt; [109] htmltools_0.5.7             pkgdown_2.0.7              </span></span>
 <span><span class="co">#&gt; [111] multtest_2.58.0             lifecycle_1.0.4            </span></span>
-<span><span class="co">#&gt; [113] GlobalOptions_0.1.2         MASS_7.3-60</span></span></code></pre></div>
+<span><span class="co">#&gt; [113] MASS_7.3-60</span></span></code></pre></div>
 </div>
   </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
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diff --git a/articles/Reclustering.html b/articles/Reclustering.html
index 21a86d0e..6207e5a6 100644
--- a/articles/Reclustering.html
+++ b/articles/Reclustering.html
@@ -33,7 +33,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -154,14 +154,14 @@ <h3 id="using-decipher-or-vsearch-algorithm">Using decipher or Vsearch algorithm
 <span id="cb2-6"><a href="#cb2-6" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; </span></span>
 <span id="cb2-7"><a href="#cb2-7" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Sorting by relatedness within 1 group:</span></span>
 <span id="cb2-8"><a href="#cb2-8" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; </span></span>
-<span id="cb2-9"><a href="#cb2-9" aria-hidden="true" tabindex="-1"></a>iteration <span class="dv">106</span> of up to <span class="dv">325</span> (<span class="fl">100.0</span>% stability) </span>
+<span id="cb2-9"><a href="#cb2-9" aria-hidden="true" tabindex="-1"></a>iteration <span class="dv">99</span> of up to <span class="dv">325</span> (<span class="fl">100.0</span>% stability) </span>
 <span id="cb2-10"><a href="#cb2-10" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; </span></span>
-<span id="cb2-11"><a href="#cb2-11" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Time difference of 4.02 secs</span></span>
+<span id="cb2-11"><a href="#cb2-11" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Time difference of 3.92 secs</span></span>
 <span id="cb2-12"><a href="#cb2-12" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; </span></span>
 <span id="cb2-13"><a href="#cb2-13" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Clustering sequences by 8-mer similarity:</span></span>
 <span id="cb2-14"><a href="#cb2-14" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; ================================================================================</span></span>
 <span id="cb2-15"><a href="#cb2-15" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; </span></span>
-<span id="cb2-16"><a href="#cb2-16" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Time difference of 0.87 secs</span></span>
+<span id="cb2-16"><a href="#cb2-16" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Time difference of 1.62 secs</span></span>
 <span id="cb2-17"><a href="#cb2-17" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; </span></span>
 <span id="cb2-18"><a href="#cb2-18" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Clusters via relatedness sorting: 100% (0% exclusively)</span></span>
 <span id="cb2-19"><a href="#cb2-19" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Clusters via rare 5-mers: 100% (0% exclusively)</span></span>
@@ -207,7 +207,7 @@ <h3 id="tracking-number-of-samples-sequences-and-clusters">Tracking number of sa
 <span><span class="op">)</span><span class="op">)</span></span>
 <span><span class="co">#&gt;             nb_sequences nb_clusters nb_samples</span></span>
 <span><span class="co">#&gt; Raw data         1106581         651        185</span></span>
-<span><span class="co">#&gt; OTU              1106581         360        185</span></span>
+<span><span class="co">#&gt; OTU              1106581         363        185</span></span>
 <span><span class="co">#&gt; OTU_vsearch      1106581         362        185</span></span>
 <span><span class="co">#&gt; LULU             1106581         549        185</span></span></code></pre></div>
 </div>
@@ -238,7 +238,7 @@ <h2 id="session-information">Session information<a class="anchor" aria-label="an
 <span><span class="co">#&gt; [1] stats     graphics  grDevices utils     datasets  methods   base     </span></span>
 <span><span class="co">#&gt; </span></span>
 <span><span class="co">#&gt; other attached packages:</span></span>
-<span><span class="co">#&gt; [1] MiscMetabar_0.7.4 dplyr_1.1.4       dada2_1.30.0      Rcpp_1.0.12      </span></span>
+<span><span class="co">#&gt; [1] MiscMetabar_0.7.5 dplyr_1.1.4       dada2_1.30.0      Rcpp_1.0.12      </span></span>
 <span><span class="co">#&gt; [5] ggplot2_3.4.4     phyloseq_1.46.0  </span></span>
 <span><span class="co">#&gt; </span></span>
 <span><span class="co">#&gt; loaded via a namespace (and not attached):</span></span>
@@ -257,7 +257,7 @@ <h2 id="session-information">Session information<a class="anchor" aria-label="an
 <span><span class="co">#&gt;  [25] rmarkdown_2.25              ragg_1.2.7                 </span></span>
 <span><span class="co">#&gt;  [27] bit_4.0.5                   purrr_1.0.2                </span></span>
 <span><span class="co">#&gt;  [29] xfun_0.41                   zlibbioc_1.48.0            </span></span>
-<span><span class="co">#&gt;  [31] cachem_1.0.8                GenomeInfoDb_1.38.5        </span></span>
+<span><span class="co">#&gt;  [31] cachem_1.0.8                GenomeInfoDb_1.38.6        </span></span>
 <span><span class="co">#&gt;  [33] jsonlite_1.8.8              biomformat_1.30.0          </span></span>
 <span><span class="co">#&gt;  [35] blob_1.2.4                  highr_0.10                 </span></span>
 <span><span class="co">#&gt;  [37] rhdf5filters_1.14.1         DelayedArray_0.28.0        </span></span>
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diff --git a/articles/Rules.html b/articles/Rules.html
index 71352b63..a967c1fc 100644
--- a/articles/Rules.html
+++ b/articles/Rules.html
@@ -33,7 +33,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/articles/alpha-div.html b/articles/alpha-div.html
index 7ec0194d..c556c054 100644
--- a/articles/alpha-div.html
+++ b/articles/alpha-div.html
@@ -33,7 +33,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -227,7 +227,7 @@ <h2 id="session-information">Session information<a class="anchor" aria-label="an
 <span><span class="co">#&gt; [1] stats     graphics  grDevices utils     datasets  methods   base     </span></span>
 <span><span class="co">#&gt; </span></span>
 <span><span class="co">#&gt; other attached packages:</span></span>
-<span><span class="co">#&gt; [1] ggh4x_0.2.8              MicrobiotaProcess_1.14.0 MiscMetabar_0.7.4       </span></span>
+<span><span class="co">#&gt; [1] ggh4x_0.2.8              MicrobiotaProcess_1.14.0 MiscMetabar_0.7.5       </span></span>
 <span><span class="co">#&gt; [4] dplyr_1.1.4              dada2_1.30.0             Rcpp_1.0.12             </span></span>
 <span><span class="co">#&gt; [7] ggplot2_3.4.4            phyloseq_1.46.0         </span></span>
 <span><span class="co">#&gt; </span></span>
@@ -290,7 +290,7 @@ <h2 id="session-information">Session information<a class="anchor" aria-label="an
 <span><span class="co">#&gt; [111] tibble_3.2.1                ggplotify_0.1.2            </span></span>
 <span><span class="co">#&gt; [113] cli_3.6.2                   RcppParallel_5.1.7         </span></span>
 <span><span class="co">#&gt; [115] systemfonts_1.0.5           munsell_0.5.0              </span></span>
-<span><span class="co">#&gt; [117] jquerylib_0.1.4             GenomeInfoDb_1.38.5        </span></span>
+<span><span class="co">#&gt; [117] jquerylib_0.1.4             GenomeInfoDb_1.38.6        </span></span>
 <span><span class="co">#&gt; [119] png_0.1-8                   parallel_4.3.2             </span></span>
 <span><span class="co">#&gt; [121] pkgdown_2.0.7               latticeExtra_0.6-30        </span></span>
 <span><span class="co">#&gt; [123] jpeg_0.1-10                 bitops_1.0-7               </span></span>
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diff --git a/articles/beta-div.html b/articles/beta-div.html
index 70ef0889..df086db5 100644
--- a/articles/beta-div.html
+++ b/articles/beta-div.html
@@ -33,7 +33,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -144,7 +144,7 @@ <h3 id="permanova">Permanova<a class="anchor" aria-label="anchor" href="#permano
 <td align="right">0.8514605</td>
 <td align="right">0.0135626</td>
 <td align="right">1.103256</td>
-<td align="right">0.146</td>
+<td align="right">0.139</td>
 </tr>
 <tr class="odd">
 <td align="left">Residual</td>
@@ -349,7 +349,7 @@ <h2 id="session-information">Session information<a class="anchor" aria-label="an
 <span><span class="co">#&gt; [8] base     </span></span>
 <span><span class="co">#&gt; </span></span>
 <span><span class="co">#&gt; other attached packages:</span></span>
-<span><span class="co">#&gt; [1] MiscMetabar_0.7.4 dplyr_1.1.4       dada2_1.30.0      Rcpp_1.0.12      </span></span>
+<span><span class="co">#&gt; [1] MiscMetabar_0.7.5 dplyr_1.1.4       dada2_1.30.0      Rcpp_1.0.12      </span></span>
 <span><span class="co">#&gt; [5] ggplot2_3.4.4     phyloseq_1.46.0  </span></span>
 <span><span class="co">#&gt; </span></span>
 <span><span class="co">#&gt; loaded via a namespace (and not attached):</span></span>
@@ -368,7 +368,7 @@ <h2 id="session-information">Session information<a class="anchor" aria-label="an
 <span><span class="co">#&gt;  [25] Rsamtools_2.18.0            rmarkdown_2.25             </span></span>
 <span><span class="co">#&gt;  [27] ragg_1.2.7                  purrr_1.0.2                </span></span>
 <span><span class="co">#&gt;  [29] xfun_0.41                   zlibbioc_1.48.0            </span></span>
-<span><span class="co">#&gt;  [31] cachem_1.0.8                GenomeInfoDb_1.38.5        </span></span>
+<span><span class="co">#&gt;  [31] cachem_1.0.8                GenomeInfoDb_1.38.6        </span></span>
 <span><span class="co">#&gt;  [33] jsonlite_1.8.8              biomformat_1.30.0          </span></span>
 <span><span class="co">#&gt;  [35] highr_0.10                  rhdf5filters_1.14.1        </span></span>
 <span><span class="co">#&gt;  [37] DelayedArray_0.28.0         Rhdf5lib_1.24.2            </span></span>
diff --git a/articles/beta-div_files/figure-html/unnamed-chunk-13-1.png b/articles/beta-div_files/figure-html/unnamed-chunk-13-1.png
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diff --git a/articles/explore_data.html b/articles/explore_data.html
index 06e7517d..83c996ec 100644
--- a/articles/explore_data.html
+++ b/articles/explore_data.html
@@ -33,7 +33,7 @@
     
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-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
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@@ -617,23 +617,23 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
 <div role="tabpanel" class="tab-pane col-sm-12 active" id="overview-dataset_overview">
 <div class="col-sm-6">
 <p class="h4">Table Overview</p>
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+<div id="xchaapauiq" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
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   -moz-osx-font-smoothing: grayscale;
 }
 
-#bxguwsyhwq thead, #bxguwsyhwq tbody, #bxguwsyhwq tfoot, #bxguwsyhwq tr, #bxguwsyhwq td, #bxguwsyhwq th {
+#xchaapauiq thead, #xchaapauiq tbody, #xchaapauiq tfoot, #xchaapauiq tr, #xchaapauiq td, #xchaapauiq th {
   border-style: none;
 }
 
-#bxguwsyhwq p {
+#xchaapauiq p {
   margin: 0;
   padding: 0;
 }
 
-#bxguwsyhwq .gt_table {
+#xchaapauiq .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -659,12 +659,12 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   border-left-color: #D3D3D3;
 }
 
-#bxguwsyhwq .gt_caption {
+#xchaapauiq .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#bxguwsyhwq .gt_title {
+#xchaapauiq .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -676,7 +676,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   border-bottom-width: 0;
 }
 
-#bxguwsyhwq .gt_subtitle {
+#xchaapauiq .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -688,7 +688,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   border-top-width: 0;
 }
 
-#bxguwsyhwq .gt_heading {
+#xchaapauiq .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -700,13 +700,13 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   border-right-color: #D3D3D3;
 }
 
-#bxguwsyhwq .gt_bottom_border {
+#xchaapauiq .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#bxguwsyhwq .gt_col_headings {
+#xchaapauiq .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -721,7 +721,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   border-right-color: #D3D3D3;
 }
 
-#bxguwsyhwq .gt_col_heading {
+#xchaapauiq .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -741,7 +741,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   overflow-x: hidden;
 }
 
-#bxguwsyhwq .gt_column_spanner_outer {
+#xchaapauiq .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -753,15 +753,15 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   padding-right: 4px;
 }
 
-#bxguwsyhwq .gt_column_spanner_outer:first-child {
+#xchaapauiq .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#bxguwsyhwq .gt_column_spanner_outer:last-child {
+#xchaapauiq .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#bxguwsyhwq .gt_column_spanner {
+#xchaapauiq .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -773,11 +773,11 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   width: 100%;
 }
 
-#bxguwsyhwq .gt_spanner_row {
+#xchaapauiq .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#bxguwsyhwq .gt_group_heading {
+#xchaapauiq .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -803,7 +803,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   text-align: left;
 }
 
-#bxguwsyhwq .gt_empty_group_heading {
+#xchaapauiq .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -818,15 +818,15 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   vertical-align: middle;
 }
 
-#bxguwsyhwq .gt_from_md > :first-child {
+#xchaapauiq .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#bxguwsyhwq .gt_from_md > :last-child {
+#xchaapauiq .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#bxguwsyhwq .gt_row {
+#xchaapauiq .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -845,7 +845,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   overflow-x: hidden;
 }
 
-#bxguwsyhwq .gt_stub {
+#xchaapauiq .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -858,7 +858,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   padding-right: 5px;
 }
 
-#bxguwsyhwq .gt_stub_row_group {
+#xchaapauiq .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -872,15 +872,15 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   vertical-align: top;
 }
 
-#bxguwsyhwq .gt_row_group_first td {
+#xchaapauiq .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#bxguwsyhwq .gt_row_group_first th {
+#xchaapauiq .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#bxguwsyhwq .gt_summary_row {
+#xchaapauiq .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -890,16 +890,16 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   padding-right: 5px;
 }
 
-#bxguwsyhwq .gt_first_summary_row {
+#xchaapauiq .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#bxguwsyhwq .gt_first_summary_row.thick {
+#xchaapauiq .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#bxguwsyhwq .gt_last_summary_row {
+#xchaapauiq .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -909,7 +909,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   border-bottom-color: #D3D3D3;
 }
 
-#bxguwsyhwq .gt_grand_summary_row {
+#xchaapauiq .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -919,7 +919,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   padding-right: 5px;
 }
 
-#bxguwsyhwq .gt_first_grand_summary_row {
+#xchaapauiq .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -929,7 +929,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   border-top-color: #D3D3D3;
 }
 
-#bxguwsyhwq .gt_last_grand_summary_row_top {
+#xchaapauiq .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -939,11 +939,11 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   border-bottom-color: #D3D3D3;
 }
 
-#bxguwsyhwq .gt_striped {
+#xchaapauiq .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#bxguwsyhwq .gt_table_body {
+#xchaapauiq .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -952,7 +952,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   border-bottom-color: #D3D3D3;
 }
 
-#bxguwsyhwq .gt_footnotes {
+#xchaapauiq .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -966,7 +966,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   border-right-color: #D3D3D3;
 }
 
-#bxguwsyhwq .gt_footnote {
+#xchaapauiq .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -975,7 +975,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   padding-right: 5px;
 }
 
-#bxguwsyhwq .gt_sourcenotes {
+#xchaapauiq .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -989,7 +989,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   border-right-color: #D3D3D3;
 }
 
-#bxguwsyhwq .gt_sourcenote {
+#xchaapauiq .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -997,63 +997,63 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   padding-right: 5px;
 }
 
-#bxguwsyhwq .gt_left {
+#xchaapauiq .gt_left {
   text-align: left;
 }
 
-#bxguwsyhwq .gt_center {
+#xchaapauiq .gt_center {
   text-align: center;
 }
 
-#bxguwsyhwq .gt_right {
+#xchaapauiq .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#bxguwsyhwq .gt_font_normal {
+#xchaapauiq .gt_font_normal {
   font-weight: normal;
 }
 
-#bxguwsyhwq .gt_font_bold {
+#xchaapauiq .gt_font_bold {
   font-weight: bold;
 }
 
-#bxguwsyhwq .gt_font_italic {
+#xchaapauiq .gt_font_italic {
   font-style: italic;
 }
 
-#bxguwsyhwq .gt_super {
+#xchaapauiq .gt_super {
   font-size: 65%;
 }
 
-#bxguwsyhwq .gt_footnote_marks {
+#xchaapauiq .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#bxguwsyhwq .gt_asterisk {
+#xchaapauiq .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#bxguwsyhwq .gt_indent_1 {
+#xchaapauiq .gt_indent_1 {
   text-indent: 5px;
 }
 
-#bxguwsyhwq .gt_indent_2 {
+#xchaapauiq .gt_indent_2 {
   text-indent: 10px;
 }
 
-#bxguwsyhwq .gt_indent_3 {
+#xchaapauiq .gt_indent_3 {
   text-indent: 15px;
 }
 
-#bxguwsyhwq .gt_indent_4 {
+#xchaapauiq .gt_indent_4 {
   text-indent: 20px;
 }
 
-#bxguwsyhwq .gt_indent_5 {
+#xchaapauiq .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -1087,23 +1087,23 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
 </div>
 <div class="col-sm-6">
 <p class="h4">Column Types</p>
-<div id="btjjwlnvat" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#btjjwlnvat table {
+<div id="brgllndsbm" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#brgllndsbm table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#btjjwlnvat thead, #btjjwlnvat tbody, #btjjwlnvat tfoot, #btjjwlnvat tr, #btjjwlnvat td, #btjjwlnvat th {
+#brgllndsbm thead, #brgllndsbm tbody, #brgllndsbm tfoot, #brgllndsbm tr, #brgllndsbm td, #brgllndsbm th {
   border-style: none;
 }
 
-#btjjwlnvat p {
+#brgllndsbm p {
   margin: 0;
   padding: 0;
 }
 
-#btjjwlnvat .gt_table {
+#brgllndsbm .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -1129,12 +1129,12 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   border-left-color: #D3D3D3;
 }
 
-#btjjwlnvat .gt_caption {
+#brgllndsbm .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#btjjwlnvat .gt_title {
+#brgllndsbm .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -1146,7 +1146,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   border-bottom-width: 0;
 }
 
-#btjjwlnvat .gt_subtitle {
+#brgllndsbm .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -1158,7 +1158,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   border-top-width: 0;
 }
 
-#btjjwlnvat .gt_heading {
+#brgllndsbm .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -1170,13 +1170,13 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   border-right-color: #D3D3D3;
 }
 
-#btjjwlnvat .gt_bottom_border {
+#brgllndsbm .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#btjjwlnvat .gt_col_headings {
+#brgllndsbm .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -1191,7 +1191,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   border-right-color: #D3D3D3;
 }
 
-#btjjwlnvat .gt_col_heading {
+#brgllndsbm .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -1211,7 +1211,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   overflow-x: hidden;
 }
 
-#btjjwlnvat .gt_column_spanner_outer {
+#brgllndsbm .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -1223,15 +1223,15 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   padding-right: 4px;
 }
 
-#btjjwlnvat .gt_column_spanner_outer:first-child {
+#brgllndsbm .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#btjjwlnvat .gt_column_spanner_outer:last-child {
+#brgllndsbm .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#btjjwlnvat .gt_column_spanner {
+#brgllndsbm .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -1243,11 +1243,11 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   width: 100%;
 }
 
-#btjjwlnvat .gt_spanner_row {
+#brgllndsbm .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#btjjwlnvat .gt_group_heading {
+#brgllndsbm .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -1273,7 +1273,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   text-align: left;
 }
 
-#btjjwlnvat .gt_empty_group_heading {
+#brgllndsbm .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -1288,15 +1288,15 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   vertical-align: middle;
 }
 
-#btjjwlnvat .gt_from_md > :first-child {
+#brgllndsbm .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#btjjwlnvat .gt_from_md > :last-child {
+#brgllndsbm .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#btjjwlnvat .gt_row {
+#brgllndsbm .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -1315,7 +1315,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   overflow-x: hidden;
 }
 
-#btjjwlnvat .gt_stub {
+#brgllndsbm .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -1328,7 +1328,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   padding-right: 5px;
 }
 
-#btjjwlnvat .gt_stub_row_group {
+#brgllndsbm .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -1342,15 +1342,15 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   vertical-align: top;
 }
 
-#btjjwlnvat .gt_row_group_first td {
+#brgllndsbm .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#btjjwlnvat .gt_row_group_first th {
+#brgllndsbm .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#btjjwlnvat .gt_summary_row {
+#brgllndsbm .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -1360,16 +1360,16 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   padding-right: 5px;
 }
 
-#btjjwlnvat .gt_first_summary_row {
+#brgllndsbm .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#btjjwlnvat .gt_first_summary_row.thick {
+#brgllndsbm .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#btjjwlnvat .gt_last_summary_row {
+#brgllndsbm .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -1379,7 +1379,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   border-bottom-color: #D3D3D3;
 }
 
-#btjjwlnvat .gt_grand_summary_row {
+#brgllndsbm .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -1389,7 +1389,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   padding-right: 5px;
 }
 
-#btjjwlnvat .gt_first_grand_summary_row {
+#brgllndsbm .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -1399,7 +1399,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   border-top-color: #D3D3D3;
 }
 
-#btjjwlnvat .gt_last_grand_summary_row_top {
+#brgllndsbm .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -1409,11 +1409,11 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   border-bottom-color: #D3D3D3;
 }
 
-#btjjwlnvat .gt_striped {
+#brgllndsbm .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#btjjwlnvat .gt_table_body {
+#brgllndsbm .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -1422,7 +1422,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   border-bottom-color: #D3D3D3;
 }
 
-#btjjwlnvat .gt_footnotes {
+#brgllndsbm .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -1436,7 +1436,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   border-right-color: #D3D3D3;
 }
 
-#btjjwlnvat .gt_footnote {
+#brgllndsbm .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -1445,7 +1445,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   padding-right: 5px;
 }
 
-#btjjwlnvat .gt_sourcenotes {
+#brgllndsbm .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -1459,7 +1459,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   border-right-color: #D3D3D3;
 }
 
-#btjjwlnvat .gt_sourcenote {
+#brgllndsbm .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -1467,63 +1467,63 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   padding-right: 5px;
 }
 
-#btjjwlnvat .gt_left {
+#brgllndsbm .gt_left {
   text-align: left;
 }
 
-#btjjwlnvat .gt_center {
+#brgllndsbm .gt_center {
   text-align: center;
 }
 
-#btjjwlnvat .gt_right {
+#brgllndsbm .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#btjjwlnvat .gt_font_normal {
+#brgllndsbm .gt_font_normal {
   font-weight: normal;
 }
 
-#btjjwlnvat .gt_font_bold {
+#brgllndsbm .gt_font_bold {
   font-weight: bold;
 }
 
-#btjjwlnvat .gt_font_italic {
+#brgllndsbm .gt_font_italic {
   font-style: italic;
 }
 
-#btjjwlnvat .gt_super {
+#brgllndsbm .gt_super {
   font-size: 65%;
 }
 
-#btjjwlnvat .gt_footnote_marks {
+#brgllndsbm .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#btjjwlnvat .gt_asterisk {
+#brgllndsbm .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#btjjwlnvat .gt_indent_1 {
+#brgllndsbm .gt_indent_1 {
   text-indent: 5px;
 }
 
-#btjjwlnvat .gt_indent_2 {
+#brgllndsbm .gt_indent_2 {
   text-indent: 10px;
 }
 
-#btjjwlnvat .gt_indent_3 {
+#brgllndsbm .gt_indent_3 {
   text-indent: 15px;
 }
 
-#btjjwlnvat .gt_indent_4 {
+#brgllndsbm .gt_indent_4 {
   text-indent: 20px;
 }
 
-#btjjwlnvat .gt_indent_5 {
+#brgllndsbm .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -1543,23 +1543,23 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
 <div role="tabpanel" class="tab-pane col-sm-12" id="overview-reproducibility">
 <div class="col-sm-12">
 <p class="h4">Reproducibility Information</p>
-<div id="ybzosekmgs" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#ybzosekmgs table {
+<div id="sisvfmmwbx" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#sisvfmmwbx table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#ybzosekmgs thead, #ybzosekmgs tbody, #ybzosekmgs tfoot, #ybzosekmgs tr, #ybzosekmgs td, #ybzosekmgs th {
+#sisvfmmwbx thead, #sisvfmmwbx tbody, #sisvfmmwbx tfoot, #sisvfmmwbx tr, #sisvfmmwbx td, #sisvfmmwbx th {
   border-style: none;
 }
 
-#ybzosekmgs p {
+#sisvfmmwbx p {
   margin: 0;
   padding: 0;
 }
 
-#ybzosekmgs .gt_table {
+#sisvfmmwbx .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -1585,12 +1585,12 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   border-left-color: #D3D3D3;
 }
 
-#ybzosekmgs .gt_caption {
+#sisvfmmwbx .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#ybzosekmgs .gt_title {
+#sisvfmmwbx .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -1602,7 +1602,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   border-bottom-width: 0;
 }
 
-#ybzosekmgs .gt_subtitle {
+#sisvfmmwbx .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -1614,7 +1614,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   border-top-width: 0;
 }
 
-#ybzosekmgs .gt_heading {
+#sisvfmmwbx .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -1626,13 +1626,13 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   border-right-color: #D3D3D3;
 }
 
-#ybzosekmgs .gt_bottom_border {
+#sisvfmmwbx .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#ybzosekmgs .gt_col_headings {
+#sisvfmmwbx .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -1647,7 +1647,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   border-right-color: #D3D3D3;
 }
 
-#ybzosekmgs .gt_col_heading {
+#sisvfmmwbx .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -1667,7 +1667,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   overflow-x: hidden;
 }
 
-#ybzosekmgs .gt_column_spanner_outer {
+#sisvfmmwbx .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -1679,15 +1679,15 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   padding-right: 4px;
 }
 
-#ybzosekmgs .gt_column_spanner_outer:first-child {
+#sisvfmmwbx .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#ybzosekmgs .gt_column_spanner_outer:last-child {
+#sisvfmmwbx .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#ybzosekmgs .gt_column_spanner {
+#sisvfmmwbx .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -1699,11 +1699,11 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   width: 100%;
 }
 
-#ybzosekmgs .gt_spanner_row {
+#sisvfmmwbx .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#ybzosekmgs .gt_group_heading {
+#sisvfmmwbx .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -1729,7 +1729,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   text-align: left;
 }
 
-#ybzosekmgs .gt_empty_group_heading {
+#sisvfmmwbx .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -1744,15 +1744,15 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   vertical-align: middle;
 }
 
-#ybzosekmgs .gt_from_md > :first-child {
+#sisvfmmwbx .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#ybzosekmgs .gt_from_md > :last-child {
+#sisvfmmwbx .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#ybzosekmgs .gt_row {
+#sisvfmmwbx .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -1771,7 +1771,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   overflow-x: hidden;
 }
 
-#ybzosekmgs .gt_stub {
+#sisvfmmwbx .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -1784,7 +1784,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   padding-right: 5px;
 }
 
-#ybzosekmgs .gt_stub_row_group {
+#sisvfmmwbx .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -1798,15 +1798,15 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   vertical-align: top;
 }
 
-#ybzosekmgs .gt_row_group_first td {
+#sisvfmmwbx .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#ybzosekmgs .gt_row_group_first th {
+#sisvfmmwbx .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#ybzosekmgs .gt_summary_row {
+#sisvfmmwbx .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -1816,16 +1816,16 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   padding-right: 5px;
 }
 
-#ybzosekmgs .gt_first_summary_row {
+#sisvfmmwbx .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#ybzosekmgs .gt_first_summary_row.thick {
+#sisvfmmwbx .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#ybzosekmgs .gt_last_summary_row {
+#sisvfmmwbx .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -1835,7 +1835,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   border-bottom-color: #D3D3D3;
 }
 
-#ybzosekmgs .gt_grand_summary_row {
+#sisvfmmwbx .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -1845,7 +1845,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   padding-right: 5px;
 }
 
-#ybzosekmgs .gt_first_grand_summary_row {
+#sisvfmmwbx .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -1855,7 +1855,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   border-top-color: #D3D3D3;
 }
 
-#ybzosekmgs .gt_last_grand_summary_row_top {
+#sisvfmmwbx .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -1865,11 +1865,11 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   border-bottom-color: #D3D3D3;
 }
 
-#ybzosekmgs .gt_striped {
+#sisvfmmwbx .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#ybzosekmgs .gt_table_body {
+#sisvfmmwbx .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -1878,7 +1878,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   border-bottom-color: #D3D3D3;
 }
 
-#ybzosekmgs .gt_footnotes {
+#sisvfmmwbx .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -1892,7 +1892,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   border-right-color: #D3D3D3;
 }
 
-#ybzosekmgs .gt_footnote {
+#sisvfmmwbx .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -1901,7 +1901,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   padding-right: 5px;
 }
 
-#ybzosekmgs .gt_sourcenotes {
+#sisvfmmwbx .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -1915,7 +1915,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   border-right-color: #D3D3D3;
 }
 
-#ybzosekmgs .gt_sourcenote {
+#sisvfmmwbx .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -1923,63 +1923,63 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
   padding-right: 5px;
 }
 
-#ybzosekmgs .gt_left {
+#sisvfmmwbx .gt_left {
   text-align: left;
 }
 
-#ybzosekmgs .gt_center {
+#sisvfmmwbx .gt_center {
   text-align: center;
 }
 
-#ybzosekmgs .gt_right {
+#sisvfmmwbx .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#ybzosekmgs .gt_font_normal {
+#sisvfmmwbx .gt_font_normal {
   font-weight: normal;
 }
 
-#ybzosekmgs .gt_font_bold {
+#sisvfmmwbx .gt_font_bold {
   font-weight: bold;
 }
 
-#ybzosekmgs .gt_font_italic {
+#sisvfmmwbx .gt_font_italic {
   font-style: italic;
 }
 
-#ybzosekmgs .gt_super {
+#sisvfmmwbx .gt_super {
   font-size: 65%;
 }
 
-#ybzosekmgs .gt_footnote_marks {
+#sisvfmmwbx .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#ybzosekmgs .gt_asterisk {
+#sisvfmmwbx .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#ybzosekmgs .gt_indent_1 {
+#sisvfmmwbx .gt_indent_1 {
   text-indent: 5px;
 }
 
-#ybzosekmgs .gt_indent_2 {
+#sisvfmmwbx .gt_indent_2 {
   text-indent: 10px;
 }
 
-#ybzosekmgs .gt_indent_3 {
+#sisvfmmwbx .gt_indent_3 {
   text-indent: 15px;
 }
 
-#ybzosekmgs .gt_indent_4 {
+#sisvfmmwbx .gt_indent_4 {
   text-indent: 20px;
 }
 
-#ybzosekmgs .gt_indent_5 {
+#sisvfmmwbx .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -1989,7 +1989,7 @@ <h2 class="page-header">Overview of <code>sam_tab</code>
 <p>Scan Build Time</p>
 </div></td>
 <td headers="value" class="gt_row gt_left"><div class="gt_from_md">
-<p><code>2024-02-09 14:27:16</code></p>
+<p><code>2024-02-10 07:09:48</code></p>
 </div></td>
 </tr>
 <tr>
@@ -2029,11 +2029,11 @@ <h2 class="page-header">Variables</h2>
 </div>
 <div class="section-items">
 <div class="row spacing">
-<a class="anchor-pos anchor-pos-variable" id="pp_var_bwfkmclfny">
+<a class="anchor-pos anchor-pos-variable" id="pp_var_tugvesfkhr">
 <div class="variable">
 <div class="col-sm-3">
 <p class="h4" style="margin-bottom:0;margin-top:-2px;" title="X">
-<a href="#pp_var_bwfkmclfny">
+<a href="#pp_var_tugvesfkhr">
 X
 <br><small style="margin-top:0;">
 <code>character</code>
@@ -2042,23 +2042,23 @@ <h2 class="page-header">Variables</h2>
 </p>
 </div>
 <div class="col-sm-5">
-<div id="umyayfarpw" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#umyayfarpw table {
+<div id="oenkjmeqhl" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#oenkjmeqhl table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#umyayfarpw thead, #umyayfarpw tbody, #umyayfarpw tfoot, #umyayfarpw tr, #umyayfarpw td, #umyayfarpw th {
+#oenkjmeqhl thead, #oenkjmeqhl tbody, #oenkjmeqhl tfoot, #oenkjmeqhl tr, #oenkjmeqhl td, #oenkjmeqhl th {
   border-style: none;
 }
 
-#umyayfarpw p {
+#oenkjmeqhl p {
   margin: 0;
   padding: 0;
 }
 
-#umyayfarpw .gt_table {
+#oenkjmeqhl .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -2084,12 +2084,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#umyayfarpw .gt_caption {
+#oenkjmeqhl .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#umyayfarpw .gt_title {
+#oenkjmeqhl .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -2101,7 +2101,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#umyayfarpw .gt_subtitle {
+#oenkjmeqhl .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -2113,7 +2113,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#umyayfarpw .gt_heading {
+#oenkjmeqhl .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -2125,13 +2125,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#umyayfarpw .gt_bottom_border {
+#oenkjmeqhl .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#umyayfarpw .gt_col_headings {
+#oenkjmeqhl .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -2146,7 +2146,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#umyayfarpw .gt_col_heading {
+#oenkjmeqhl .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -2166,7 +2166,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#umyayfarpw .gt_column_spanner_outer {
+#oenkjmeqhl .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -2178,15 +2178,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#umyayfarpw .gt_column_spanner_outer:first-child {
+#oenkjmeqhl .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#umyayfarpw .gt_column_spanner_outer:last-child {
+#oenkjmeqhl .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#umyayfarpw .gt_column_spanner {
+#oenkjmeqhl .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -2198,11 +2198,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#umyayfarpw .gt_spanner_row {
+#oenkjmeqhl .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#umyayfarpw .gt_group_heading {
+#oenkjmeqhl .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -2228,7 +2228,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#umyayfarpw .gt_empty_group_heading {
+#oenkjmeqhl .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -2243,15 +2243,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#umyayfarpw .gt_from_md > :first-child {
+#oenkjmeqhl .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#umyayfarpw .gt_from_md > :last-child {
+#oenkjmeqhl .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#umyayfarpw .gt_row {
+#oenkjmeqhl .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -2270,7 +2270,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#umyayfarpw .gt_stub {
+#oenkjmeqhl .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -2283,7 +2283,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#umyayfarpw .gt_stub_row_group {
+#oenkjmeqhl .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -2297,15 +2297,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#umyayfarpw .gt_row_group_first td {
+#oenkjmeqhl .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#umyayfarpw .gt_row_group_first th {
+#oenkjmeqhl .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#umyayfarpw .gt_summary_row {
+#oenkjmeqhl .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -2315,16 +2315,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#umyayfarpw .gt_first_summary_row {
+#oenkjmeqhl .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#umyayfarpw .gt_first_summary_row.thick {
+#oenkjmeqhl .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#umyayfarpw .gt_last_summary_row {
+#oenkjmeqhl .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -2334,7 +2334,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#umyayfarpw .gt_grand_summary_row {
+#oenkjmeqhl .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -2344,7 +2344,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#umyayfarpw .gt_first_grand_summary_row {
+#oenkjmeqhl .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -2354,7 +2354,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#umyayfarpw .gt_last_grand_summary_row_top {
+#oenkjmeqhl .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -2364,11 +2364,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#umyayfarpw .gt_striped {
+#oenkjmeqhl .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#umyayfarpw .gt_table_body {
+#oenkjmeqhl .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -2377,7 +2377,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#umyayfarpw .gt_footnotes {
+#oenkjmeqhl .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -2391,7 +2391,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#umyayfarpw .gt_footnote {
+#oenkjmeqhl .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -2400,7 +2400,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#umyayfarpw .gt_sourcenotes {
+#oenkjmeqhl .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -2414,7 +2414,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#umyayfarpw .gt_sourcenote {
+#oenkjmeqhl .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -2422,63 +2422,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#umyayfarpw .gt_left {
+#oenkjmeqhl .gt_left {
   text-align: left;
 }
 
-#umyayfarpw .gt_center {
+#oenkjmeqhl .gt_center {
   text-align: center;
 }
 
-#umyayfarpw .gt_right {
+#oenkjmeqhl .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#umyayfarpw .gt_font_normal {
+#oenkjmeqhl .gt_font_normal {
   font-weight: normal;
 }
 
-#umyayfarpw .gt_font_bold {
+#oenkjmeqhl .gt_font_bold {
   font-weight: bold;
 }
 
-#umyayfarpw .gt_font_italic {
+#oenkjmeqhl .gt_font_italic {
   font-style: italic;
 }
 
-#umyayfarpw .gt_super {
+#oenkjmeqhl .gt_super {
   font-size: 65%;
 }
 
-#umyayfarpw .gt_footnote_marks {
+#oenkjmeqhl .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#umyayfarpw .gt_asterisk {
+#oenkjmeqhl .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#umyayfarpw .gt_indent_1 {
+#oenkjmeqhl .gt_indent_1 {
   text-indent: 5px;
 }
 
-#umyayfarpw .gt_indent_2 {
+#oenkjmeqhl .gt_indent_2 {
   text-indent: 10px;
 }
 
-#umyayfarpw .gt_indent_3 {
+#oenkjmeqhl .gt_indent_3 {
   text-indent: 15px;
 }
 
-#umyayfarpw .gt_indent_4 {
+#oenkjmeqhl .gt_indent_4 {
   text-indent: 20px;
 }
 
-#umyayfarpw .gt_indent_5 {
+#oenkjmeqhl .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -2506,39 +2506,39 @@ <h2 class="page-header">Variables</h2>
 </div>
 <div class="col-sm-4"> </div>
 <div class="col-sm-12 text-left">
-<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-bwfkmclfny, #minifreqtablebwfkmclfny" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
+<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-tugvesfkhr, #minifreqtabletugvesfkhr" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
 </div>
-<div id="bottom-bwfkmclfny" class="collapse" aria-expanded="false" style="height: 5px;">
+<div id="bottom-tugvesfkhr" class="collapse" aria-expanded="false" style="height: 5px;">
 <div class="row spacing">
 <ul class="nav nav-tabs" role="tablist">
 <li role="presentation" class="active" style="padding-top: 5px;">
-<a href="#bwfkmclfnybottom-bwfkmclfnycommon_values" aria-controls="bwfkmclfnybottom-bwfkmclfnycommon_values" role="tab" data-toggle="tab">Common Values</a>
+<a href="#tugvesfkhrbottom-tugvesfkhrcommon_values" aria-controls="tugvesfkhrbottom-tugvesfkhrcommon_values" role="tab" data-toggle="tab">Common Values</a>
 </li>
 <li role="presentation" class="" style="padding-top: 5px;">
-<a href="#bwfkmclfnybottom-bwfkmclfnylengths" aria-controls="bwfkmclfnybottom-bwfkmclfnylengths" role="tab" data-toggle="tab">String Lengths</a>
+<a href="#tugvesfkhrbottom-tugvesfkhrlengths" aria-controls="tugvesfkhrbottom-tugvesfkhrlengths" role="tab" data-toggle="tab">String Lengths</a>
 </li>
 </ul>
 <div class="tab-content">
-<div role="tabpanel" class="tab-pane col-sm-12 active" id="bwfkmclfnybottom-bwfkmclfnycommon_values">
+<div role="tabpanel" class="tab-pane col-sm-12 active" id="tugvesfkhrbottom-tugvesfkhrcommon_values">
 <div class="col-sm-12">
 <p class="h4"></p>
-<div id="gdnchxupmy" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#gdnchxupmy table {
+<div id="dwcizygchd" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#dwcizygchd table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#gdnchxupmy thead, #gdnchxupmy tbody, #gdnchxupmy tfoot, #gdnchxupmy tr, #gdnchxupmy td, #gdnchxupmy th {
+#dwcizygchd thead, #dwcizygchd tbody, #dwcizygchd tfoot, #dwcizygchd tr, #dwcizygchd td, #dwcizygchd th {
   border-style: none;
 }
 
-#gdnchxupmy p {
+#dwcizygchd p {
   margin: 0;
   padding: 0;
 }
 
-#gdnchxupmy .gt_table {
+#dwcizygchd .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -2564,12 +2564,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#gdnchxupmy .gt_caption {
+#dwcizygchd .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#gdnchxupmy .gt_title {
+#dwcizygchd .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -2581,7 +2581,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#gdnchxupmy .gt_subtitle {
+#dwcizygchd .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -2593,7 +2593,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#gdnchxupmy .gt_heading {
+#dwcizygchd .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -2605,13 +2605,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#gdnchxupmy .gt_bottom_border {
+#dwcizygchd .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#gdnchxupmy .gt_col_headings {
+#dwcizygchd .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -2626,7 +2626,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#gdnchxupmy .gt_col_heading {
+#dwcizygchd .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -2646,7 +2646,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#gdnchxupmy .gt_column_spanner_outer {
+#dwcizygchd .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -2658,15 +2658,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#gdnchxupmy .gt_column_spanner_outer:first-child {
+#dwcizygchd .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#gdnchxupmy .gt_column_spanner_outer:last-child {
+#dwcizygchd .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#gdnchxupmy .gt_column_spanner {
+#dwcizygchd .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -2678,11 +2678,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#gdnchxupmy .gt_spanner_row {
+#dwcizygchd .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#gdnchxupmy .gt_group_heading {
+#dwcizygchd .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -2708,7 +2708,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#gdnchxupmy .gt_empty_group_heading {
+#dwcizygchd .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -2723,15 +2723,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#gdnchxupmy .gt_from_md > :first-child {
+#dwcizygchd .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#gdnchxupmy .gt_from_md > :last-child {
+#dwcizygchd .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#gdnchxupmy .gt_row {
+#dwcizygchd .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -2750,7 +2750,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#gdnchxupmy .gt_stub {
+#dwcizygchd .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -2763,7 +2763,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#gdnchxupmy .gt_stub_row_group {
+#dwcizygchd .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -2777,15 +2777,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#gdnchxupmy .gt_row_group_first td {
+#dwcizygchd .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#gdnchxupmy .gt_row_group_first th {
+#dwcizygchd .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#gdnchxupmy .gt_summary_row {
+#dwcizygchd .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -2795,16 +2795,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#gdnchxupmy .gt_first_summary_row {
+#dwcizygchd .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#gdnchxupmy .gt_first_summary_row.thick {
+#dwcizygchd .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#gdnchxupmy .gt_last_summary_row {
+#dwcizygchd .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -2814,7 +2814,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#gdnchxupmy .gt_grand_summary_row {
+#dwcizygchd .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -2824,7 +2824,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#gdnchxupmy .gt_first_grand_summary_row {
+#dwcizygchd .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -2834,7 +2834,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#gdnchxupmy .gt_last_grand_summary_row_top {
+#dwcizygchd .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -2844,11 +2844,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#gdnchxupmy .gt_striped {
+#dwcizygchd .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#gdnchxupmy .gt_table_body {
+#dwcizygchd .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -2857,7 +2857,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#gdnchxupmy .gt_footnotes {
+#dwcizygchd .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -2871,7 +2871,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#gdnchxupmy .gt_footnote {
+#dwcizygchd .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -2880,7 +2880,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#gdnchxupmy .gt_sourcenotes {
+#dwcizygchd .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -2894,7 +2894,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#gdnchxupmy .gt_sourcenote {
+#dwcizygchd .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -2902,63 +2902,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#gdnchxupmy .gt_left {
+#dwcizygchd .gt_left {
   text-align: left;
 }
 
-#gdnchxupmy .gt_center {
+#dwcizygchd .gt_center {
   text-align: center;
 }
 
-#gdnchxupmy .gt_right {
+#dwcizygchd .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#gdnchxupmy .gt_font_normal {
+#dwcizygchd .gt_font_normal {
   font-weight: normal;
 }
 
-#gdnchxupmy .gt_font_bold {
+#dwcizygchd .gt_font_bold {
   font-weight: bold;
 }
 
-#gdnchxupmy .gt_font_italic {
+#dwcizygchd .gt_font_italic {
   font-style: italic;
 }
 
-#gdnchxupmy .gt_super {
+#dwcizygchd .gt_super {
   font-size: 65%;
 }
 
-#gdnchxupmy .gt_footnote_marks {
+#dwcizygchd .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#gdnchxupmy .gt_asterisk {
+#dwcizygchd .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#gdnchxupmy .gt_indent_1 {
+#dwcizygchd .gt_indent_1 {
   text-indent: 5px;
 }
 
-#gdnchxupmy .gt_indent_2 {
+#dwcizygchd .gt_indent_2 {
   text-indent: 10px;
 }
 
-#gdnchxupmy .gt_indent_3 {
+#dwcizygchd .gt_indent_3 {
   text-indent: 15px;
 }
 
-#gdnchxupmy .gt_indent_4 {
+#dwcizygchd .gt_indent_4 {
   text-indent: 20px;
 }
 
-#gdnchxupmy .gt_indent_5 {
+#dwcizygchd .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -3026,26 +3026,26 @@ <h2 class="page-header">Variables</h2>
 </div>
 </div>
 </div>
-<div role="tabpanel" class="tab-pane col-sm-12" id="bwfkmclfnybottom-bwfkmclfnylengths">
+<div role="tabpanel" class="tab-pane col-sm-12" id="tugvesfkhrbottom-tugvesfkhrlengths">
 <div class="col-sm-4">
 <p class="h4">String Lengths</p>
-<div id="znxqxafyjx" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#znxqxafyjx table {
+<div id="ehrbrtzult" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#ehrbrtzult table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#znxqxafyjx thead, #znxqxafyjx tbody, #znxqxafyjx tfoot, #znxqxafyjx tr, #znxqxafyjx td, #znxqxafyjx th {
+#ehrbrtzult thead, #ehrbrtzult tbody, #ehrbrtzult tfoot, #ehrbrtzult tr, #ehrbrtzult td, #ehrbrtzult th {
   border-style: none;
 }
 
-#znxqxafyjx p {
+#ehrbrtzult p {
   margin: 0;
   padding: 0;
 }
 
-#znxqxafyjx .gt_table {
+#ehrbrtzult .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -3071,12 +3071,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#znxqxafyjx .gt_caption {
+#ehrbrtzult .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#znxqxafyjx .gt_title {
+#ehrbrtzult .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -3088,7 +3088,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#znxqxafyjx .gt_subtitle {
+#ehrbrtzult .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -3100,7 +3100,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#znxqxafyjx .gt_heading {
+#ehrbrtzult .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -3112,13 +3112,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#znxqxafyjx .gt_bottom_border {
+#ehrbrtzult .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#znxqxafyjx .gt_col_headings {
+#ehrbrtzult .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -3133,7 +3133,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#znxqxafyjx .gt_col_heading {
+#ehrbrtzult .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -3153,7 +3153,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#znxqxafyjx .gt_column_spanner_outer {
+#ehrbrtzult .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -3165,15 +3165,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#znxqxafyjx .gt_column_spanner_outer:first-child {
+#ehrbrtzult .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#znxqxafyjx .gt_column_spanner_outer:last-child {
+#ehrbrtzult .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#znxqxafyjx .gt_column_spanner {
+#ehrbrtzult .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -3185,11 +3185,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#znxqxafyjx .gt_spanner_row {
+#ehrbrtzult .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#znxqxafyjx .gt_group_heading {
+#ehrbrtzult .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -3215,7 +3215,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#znxqxafyjx .gt_empty_group_heading {
+#ehrbrtzult .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -3230,15 +3230,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#znxqxafyjx .gt_from_md > :first-child {
+#ehrbrtzult .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#znxqxafyjx .gt_from_md > :last-child {
+#ehrbrtzult .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#znxqxafyjx .gt_row {
+#ehrbrtzult .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -3257,7 +3257,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#znxqxafyjx .gt_stub {
+#ehrbrtzult .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -3270,7 +3270,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#znxqxafyjx .gt_stub_row_group {
+#ehrbrtzult .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -3284,15 +3284,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#znxqxafyjx .gt_row_group_first td {
+#ehrbrtzult .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#znxqxafyjx .gt_row_group_first th {
+#ehrbrtzult .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#znxqxafyjx .gt_summary_row {
+#ehrbrtzult .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -3302,16 +3302,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#znxqxafyjx .gt_first_summary_row {
+#ehrbrtzult .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#znxqxafyjx .gt_first_summary_row.thick {
+#ehrbrtzult .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#znxqxafyjx .gt_last_summary_row {
+#ehrbrtzult .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -3321,7 +3321,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#znxqxafyjx .gt_grand_summary_row {
+#ehrbrtzult .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -3331,7 +3331,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#znxqxafyjx .gt_first_grand_summary_row {
+#ehrbrtzult .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -3341,7 +3341,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#znxqxafyjx .gt_last_grand_summary_row_top {
+#ehrbrtzult .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -3351,11 +3351,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#znxqxafyjx .gt_striped {
+#ehrbrtzult .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#znxqxafyjx .gt_table_body {
+#ehrbrtzult .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -3364,7 +3364,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#znxqxafyjx .gt_footnotes {
+#ehrbrtzult .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -3378,7 +3378,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#znxqxafyjx .gt_footnote {
+#ehrbrtzult .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -3387,7 +3387,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#znxqxafyjx .gt_sourcenotes {
+#ehrbrtzult .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -3401,7 +3401,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#znxqxafyjx .gt_sourcenote {
+#ehrbrtzult .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -3409,63 +3409,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#znxqxafyjx .gt_left {
+#ehrbrtzult .gt_left {
   text-align: left;
 }
 
-#znxqxafyjx .gt_center {
+#ehrbrtzult .gt_center {
   text-align: center;
 }
 
-#znxqxafyjx .gt_right {
+#ehrbrtzult .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#znxqxafyjx .gt_font_normal {
+#ehrbrtzult .gt_font_normal {
   font-weight: normal;
 }
 
-#znxqxafyjx .gt_font_bold {
+#ehrbrtzult .gt_font_bold {
   font-weight: bold;
 }
 
-#znxqxafyjx .gt_font_italic {
+#ehrbrtzult .gt_font_italic {
   font-style: italic;
 }
 
-#znxqxafyjx .gt_super {
+#ehrbrtzult .gt_super {
   font-size: 65%;
 }
 
-#znxqxafyjx .gt_footnote_marks {
+#ehrbrtzult .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#znxqxafyjx .gt_asterisk {
+#ehrbrtzult .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#znxqxafyjx .gt_indent_1 {
+#ehrbrtzult .gt_indent_1 {
   text-indent: 5px;
 }
 
-#znxqxafyjx .gt_indent_2 {
+#ehrbrtzult .gt_indent_2 {
   text-indent: 10px;
 }
 
-#znxqxafyjx .gt_indent_3 {
+#ehrbrtzult .gt_indent_3 {
   text-indent: 15px;
 }
 
-#znxqxafyjx .gt_indent_4 {
+#ehrbrtzult .gt_indent_4 {
   text-indent: 20px;
 }
 
-#znxqxafyjx .gt_indent_5 {
+#ehrbrtzult .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -3497,11 +3497,11 @@ <h2 class="page-header">Variables</h2>
 </a>
 </div>
 <div class="row spacing">
-<a class="anchor-pos anchor-pos-variable" id="pp_var_jbyyhdnfbd">
+<a class="anchor-pos anchor-pos-variable" id="pp_var_rpqzgqmpnv">
 <div class="variable">
 <div class="col-sm-3">
 <p class="h4" style="margin-bottom:0;margin-top:-2px;" title="Sample_names">
-<a href="#pp_var_jbyyhdnfbd">
+<a href="#pp_var_rpqzgqmpnv">
 Sample_names
 <br><small style="margin-top:0;">
 <code>character</code>
@@ -3510,23 +3510,23 @@ <h2 class="page-header">Variables</h2>
 </p>
 </div>
 <div class="col-sm-5">
-<div id="ucaharjcyn" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#ucaharjcyn table {
+<div id="xltmeaqevq" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#xltmeaqevq table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#ucaharjcyn thead, #ucaharjcyn tbody, #ucaharjcyn tfoot, #ucaharjcyn tr, #ucaharjcyn td, #ucaharjcyn th {
+#xltmeaqevq thead, #xltmeaqevq tbody, #xltmeaqevq tfoot, #xltmeaqevq tr, #xltmeaqevq td, #xltmeaqevq th {
   border-style: none;
 }
 
-#ucaharjcyn p {
+#xltmeaqevq p {
   margin: 0;
   padding: 0;
 }
 
-#ucaharjcyn .gt_table {
+#xltmeaqevq .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -3552,12 +3552,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#ucaharjcyn .gt_caption {
+#xltmeaqevq .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#ucaharjcyn .gt_title {
+#xltmeaqevq .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -3569,7 +3569,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#ucaharjcyn .gt_subtitle {
+#xltmeaqevq .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -3581,7 +3581,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#ucaharjcyn .gt_heading {
+#xltmeaqevq .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -3593,13 +3593,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#ucaharjcyn .gt_bottom_border {
+#xltmeaqevq .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#ucaharjcyn .gt_col_headings {
+#xltmeaqevq .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -3614,7 +3614,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#ucaharjcyn .gt_col_heading {
+#xltmeaqevq .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -3634,7 +3634,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#ucaharjcyn .gt_column_spanner_outer {
+#xltmeaqevq .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -3646,15 +3646,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#ucaharjcyn .gt_column_spanner_outer:first-child {
+#xltmeaqevq .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#ucaharjcyn .gt_column_spanner_outer:last-child {
+#xltmeaqevq .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#ucaharjcyn .gt_column_spanner {
+#xltmeaqevq .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -3666,11 +3666,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#ucaharjcyn .gt_spanner_row {
+#xltmeaqevq .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#ucaharjcyn .gt_group_heading {
+#xltmeaqevq .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -3696,7 +3696,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#ucaharjcyn .gt_empty_group_heading {
+#xltmeaqevq .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -3711,15 +3711,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#ucaharjcyn .gt_from_md > :first-child {
+#xltmeaqevq .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#ucaharjcyn .gt_from_md > :last-child {
+#xltmeaqevq .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#ucaharjcyn .gt_row {
+#xltmeaqevq .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -3738,7 +3738,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#ucaharjcyn .gt_stub {
+#xltmeaqevq .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -3751,7 +3751,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#ucaharjcyn .gt_stub_row_group {
+#xltmeaqevq .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -3765,15 +3765,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#ucaharjcyn .gt_row_group_first td {
+#xltmeaqevq .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#ucaharjcyn .gt_row_group_first th {
+#xltmeaqevq .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#ucaharjcyn .gt_summary_row {
+#xltmeaqevq .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -3783,16 +3783,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#ucaharjcyn .gt_first_summary_row {
+#xltmeaqevq .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#ucaharjcyn .gt_first_summary_row.thick {
+#xltmeaqevq .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#ucaharjcyn .gt_last_summary_row {
+#xltmeaqevq .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -3802,7 +3802,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#ucaharjcyn .gt_grand_summary_row {
+#xltmeaqevq .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -3812,7 +3812,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#ucaharjcyn .gt_first_grand_summary_row {
+#xltmeaqevq .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -3822,7 +3822,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#ucaharjcyn .gt_last_grand_summary_row_top {
+#xltmeaqevq .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -3832,11 +3832,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#ucaharjcyn .gt_striped {
+#xltmeaqevq .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#ucaharjcyn .gt_table_body {
+#xltmeaqevq .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -3845,7 +3845,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#ucaharjcyn .gt_footnotes {
+#xltmeaqevq .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -3859,7 +3859,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#ucaharjcyn .gt_footnote {
+#xltmeaqevq .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -3868,7 +3868,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#ucaharjcyn .gt_sourcenotes {
+#xltmeaqevq .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -3882,7 +3882,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#ucaharjcyn .gt_sourcenote {
+#xltmeaqevq .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -3890,63 +3890,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#ucaharjcyn .gt_left {
+#xltmeaqevq .gt_left {
   text-align: left;
 }
 
-#ucaharjcyn .gt_center {
+#xltmeaqevq .gt_center {
   text-align: center;
 }
 
-#ucaharjcyn .gt_right {
+#xltmeaqevq .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#ucaharjcyn .gt_font_normal {
+#xltmeaqevq .gt_font_normal {
   font-weight: normal;
 }
 
-#ucaharjcyn .gt_font_bold {
+#xltmeaqevq .gt_font_bold {
   font-weight: bold;
 }
 
-#ucaharjcyn .gt_font_italic {
+#xltmeaqevq .gt_font_italic {
   font-style: italic;
 }
 
-#ucaharjcyn .gt_super {
+#xltmeaqevq .gt_super {
   font-size: 65%;
 }
 
-#ucaharjcyn .gt_footnote_marks {
+#xltmeaqevq .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#ucaharjcyn .gt_asterisk {
+#xltmeaqevq .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#ucaharjcyn .gt_indent_1 {
+#xltmeaqevq .gt_indent_1 {
   text-indent: 5px;
 }
 
-#ucaharjcyn .gt_indent_2 {
+#xltmeaqevq .gt_indent_2 {
   text-indent: 10px;
 }
 
-#ucaharjcyn .gt_indent_3 {
+#xltmeaqevq .gt_indent_3 {
   text-indent: 15px;
 }
 
-#ucaharjcyn .gt_indent_4 {
+#xltmeaqevq .gt_indent_4 {
   text-indent: 20px;
 }
 
-#ucaharjcyn .gt_indent_5 {
+#xltmeaqevq .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -3974,39 +3974,39 @@ <h2 class="page-header">Variables</h2>
 </div>
 <div class="col-sm-4"> </div>
 <div class="col-sm-12 text-left">
-<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-jbyyhdnfbd, #minifreqtablejbyyhdnfbd" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
+<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-rpqzgqmpnv, #minifreqtablerpqzgqmpnv" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
 </div>
-<div id="bottom-jbyyhdnfbd" class="collapse" aria-expanded="false" style="height: 5px;">
+<div id="bottom-rpqzgqmpnv" class="collapse" aria-expanded="false" style="height: 5px;">
 <div class="row spacing">
 <ul class="nav nav-tabs" role="tablist">
 <li role="presentation" class="active" style="padding-top: 5px;">
-<a href="#jbyyhdnfbdbottom-jbyyhdnfbdcommon_values" aria-controls="jbyyhdnfbdbottom-jbyyhdnfbdcommon_values" role="tab" data-toggle="tab">Common Values</a>
+<a href="#rpqzgqmpnvbottom-rpqzgqmpnvcommon_values" aria-controls="rpqzgqmpnvbottom-rpqzgqmpnvcommon_values" role="tab" data-toggle="tab">Common Values</a>
 </li>
 <li role="presentation" class="" style="padding-top: 5px;">
-<a href="#jbyyhdnfbdbottom-jbyyhdnfbdlengths" aria-controls="jbyyhdnfbdbottom-jbyyhdnfbdlengths" role="tab" data-toggle="tab">String Lengths</a>
+<a href="#rpqzgqmpnvbottom-rpqzgqmpnvlengths" aria-controls="rpqzgqmpnvbottom-rpqzgqmpnvlengths" role="tab" data-toggle="tab">String Lengths</a>
 </li>
 </ul>
 <div class="tab-content">
-<div role="tabpanel" class="tab-pane col-sm-12 active" id="jbyyhdnfbdbottom-jbyyhdnfbdcommon_values">
+<div role="tabpanel" class="tab-pane col-sm-12 active" id="rpqzgqmpnvbottom-rpqzgqmpnvcommon_values">
 <div class="col-sm-12">
 <p class="h4"></p>
-<div id="mxvkkvkjwg" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#mxvkkvkjwg table {
+<div id="opdmzasmpw" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#opdmzasmpw table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#mxvkkvkjwg thead, #mxvkkvkjwg tbody, #mxvkkvkjwg tfoot, #mxvkkvkjwg tr, #mxvkkvkjwg td, #mxvkkvkjwg th {
+#opdmzasmpw thead, #opdmzasmpw tbody, #opdmzasmpw tfoot, #opdmzasmpw tr, #opdmzasmpw td, #opdmzasmpw th {
   border-style: none;
 }
 
-#mxvkkvkjwg p {
+#opdmzasmpw p {
   margin: 0;
   padding: 0;
 }
 
-#mxvkkvkjwg .gt_table {
+#opdmzasmpw .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -4032,12 +4032,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#mxvkkvkjwg .gt_caption {
+#opdmzasmpw .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#mxvkkvkjwg .gt_title {
+#opdmzasmpw .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -4049,7 +4049,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#mxvkkvkjwg .gt_subtitle {
+#opdmzasmpw .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -4061,7 +4061,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#mxvkkvkjwg .gt_heading {
+#opdmzasmpw .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -4073,13 +4073,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#mxvkkvkjwg .gt_bottom_border {
+#opdmzasmpw .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#mxvkkvkjwg .gt_col_headings {
+#opdmzasmpw .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -4094,7 +4094,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#mxvkkvkjwg .gt_col_heading {
+#opdmzasmpw .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -4114,7 +4114,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#mxvkkvkjwg .gt_column_spanner_outer {
+#opdmzasmpw .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -4126,15 +4126,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#mxvkkvkjwg .gt_column_spanner_outer:first-child {
+#opdmzasmpw .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#mxvkkvkjwg .gt_column_spanner_outer:last-child {
+#opdmzasmpw .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#mxvkkvkjwg .gt_column_spanner {
+#opdmzasmpw .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -4146,11 +4146,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#mxvkkvkjwg .gt_spanner_row {
+#opdmzasmpw .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#mxvkkvkjwg .gt_group_heading {
+#opdmzasmpw .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -4176,7 +4176,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#mxvkkvkjwg .gt_empty_group_heading {
+#opdmzasmpw .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -4191,15 +4191,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#mxvkkvkjwg .gt_from_md > :first-child {
+#opdmzasmpw .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#mxvkkvkjwg .gt_from_md > :last-child {
+#opdmzasmpw .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#mxvkkvkjwg .gt_row {
+#opdmzasmpw .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -4218,7 +4218,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#mxvkkvkjwg .gt_stub {
+#opdmzasmpw .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -4231,7 +4231,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#mxvkkvkjwg .gt_stub_row_group {
+#opdmzasmpw .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -4245,15 +4245,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#mxvkkvkjwg .gt_row_group_first td {
+#opdmzasmpw .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#mxvkkvkjwg .gt_row_group_first th {
+#opdmzasmpw .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#mxvkkvkjwg .gt_summary_row {
+#opdmzasmpw .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -4263,16 +4263,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#mxvkkvkjwg .gt_first_summary_row {
+#opdmzasmpw .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#mxvkkvkjwg .gt_first_summary_row.thick {
+#opdmzasmpw .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#mxvkkvkjwg .gt_last_summary_row {
+#opdmzasmpw .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -4282,7 +4282,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#mxvkkvkjwg .gt_grand_summary_row {
+#opdmzasmpw .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -4292,7 +4292,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#mxvkkvkjwg .gt_first_grand_summary_row {
+#opdmzasmpw .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -4302,7 +4302,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#mxvkkvkjwg .gt_last_grand_summary_row_top {
+#opdmzasmpw .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -4312,11 +4312,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#mxvkkvkjwg .gt_striped {
+#opdmzasmpw .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#mxvkkvkjwg .gt_table_body {
+#opdmzasmpw .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -4325,7 +4325,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#mxvkkvkjwg .gt_footnotes {
+#opdmzasmpw .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -4339,7 +4339,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#mxvkkvkjwg .gt_footnote {
+#opdmzasmpw .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -4348,7 +4348,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#mxvkkvkjwg .gt_sourcenotes {
+#opdmzasmpw .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -4362,7 +4362,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#mxvkkvkjwg .gt_sourcenote {
+#opdmzasmpw .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -4370,63 +4370,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#mxvkkvkjwg .gt_left {
+#opdmzasmpw .gt_left {
   text-align: left;
 }
 
-#mxvkkvkjwg .gt_center {
+#opdmzasmpw .gt_center {
   text-align: center;
 }
 
-#mxvkkvkjwg .gt_right {
+#opdmzasmpw .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#mxvkkvkjwg .gt_font_normal {
+#opdmzasmpw .gt_font_normal {
   font-weight: normal;
 }
 
-#mxvkkvkjwg .gt_font_bold {
+#opdmzasmpw .gt_font_bold {
   font-weight: bold;
 }
 
-#mxvkkvkjwg .gt_font_italic {
+#opdmzasmpw .gt_font_italic {
   font-style: italic;
 }
 
-#mxvkkvkjwg .gt_super {
+#opdmzasmpw .gt_super {
   font-size: 65%;
 }
 
-#mxvkkvkjwg .gt_footnote_marks {
+#opdmzasmpw .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#mxvkkvkjwg .gt_asterisk {
+#opdmzasmpw .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#mxvkkvkjwg .gt_indent_1 {
+#opdmzasmpw .gt_indent_1 {
   text-indent: 5px;
 }
 
-#mxvkkvkjwg .gt_indent_2 {
+#opdmzasmpw .gt_indent_2 {
   text-indent: 10px;
 }
 
-#mxvkkvkjwg .gt_indent_3 {
+#opdmzasmpw .gt_indent_3 {
   text-indent: 15px;
 }
 
-#mxvkkvkjwg .gt_indent_4 {
+#opdmzasmpw .gt_indent_4 {
   text-indent: 20px;
 }
 
-#mxvkkvkjwg .gt_indent_5 {
+#opdmzasmpw .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -4494,26 +4494,26 @@ <h2 class="page-header">Variables</h2>
 </div>
 </div>
 </div>
-<div role="tabpanel" class="tab-pane col-sm-12" id="jbyyhdnfbdbottom-jbyyhdnfbdlengths">
+<div role="tabpanel" class="tab-pane col-sm-12" id="rpqzgqmpnvbottom-rpqzgqmpnvlengths">
 <div class="col-sm-4">
 <p class="h4">String Lengths</p>
-<div id="dsiseazbkq" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#dsiseazbkq table {
+<div id="ymwwibyvqc" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#ymwwibyvqc table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#dsiseazbkq thead, #dsiseazbkq tbody, #dsiseazbkq tfoot, #dsiseazbkq tr, #dsiseazbkq td, #dsiseazbkq th {
+#ymwwibyvqc thead, #ymwwibyvqc tbody, #ymwwibyvqc tfoot, #ymwwibyvqc tr, #ymwwibyvqc td, #ymwwibyvqc th {
   border-style: none;
 }
 
-#dsiseazbkq p {
+#ymwwibyvqc p {
   margin: 0;
   padding: 0;
 }
 
-#dsiseazbkq .gt_table {
+#ymwwibyvqc .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -4539,12 +4539,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#dsiseazbkq .gt_caption {
+#ymwwibyvqc .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#dsiseazbkq .gt_title {
+#ymwwibyvqc .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -4556,7 +4556,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#dsiseazbkq .gt_subtitle {
+#ymwwibyvqc .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -4568,7 +4568,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#dsiseazbkq .gt_heading {
+#ymwwibyvqc .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -4580,13 +4580,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#dsiseazbkq .gt_bottom_border {
+#ymwwibyvqc .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#dsiseazbkq .gt_col_headings {
+#ymwwibyvqc .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -4601,7 +4601,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#dsiseazbkq .gt_col_heading {
+#ymwwibyvqc .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -4621,7 +4621,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#dsiseazbkq .gt_column_spanner_outer {
+#ymwwibyvqc .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -4633,15 +4633,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#dsiseazbkq .gt_column_spanner_outer:first-child {
+#ymwwibyvqc .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#dsiseazbkq .gt_column_spanner_outer:last-child {
+#ymwwibyvqc .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#dsiseazbkq .gt_column_spanner {
+#ymwwibyvqc .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -4653,11 +4653,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#dsiseazbkq .gt_spanner_row {
+#ymwwibyvqc .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#dsiseazbkq .gt_group_heading {
+#ymwwibyvqc .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -4683,7 +4683,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#dsiseazbkq .gt_empty_group_heading {
+#ymwwibyvqc .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -4698,15 +4698,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#dsiseazbkq .gt_from_md > :first-child {
+#ymwwibyvqc .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#dsiseazbkq .gt_from_md > :last-child {
+#ymwwibyvqc .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#dsiseazbkq .gt_row {
+#ymwwibyvqc .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -4725,7 +4725,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#dsiseazbkq .gt_stub {
+#ymwwibyvqc .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -4738,7 +4738,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#dsiseazbkq .gt_stub_row_group {
+#ymwwibyvqc .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -4752,15 +4752,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#dsiseazbkq .gt_row_group_first td {
+#ymwwibyvqc .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#dsiseazbkq .gt_row_group_first th {
+#ymwwibyvqc .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#dsiseazbkq .gt_summary_row {
+#ymwwibyvqc .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -4770,16 +4770,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#dsiseazbkq .gt_first_summary_row {
+#ymwwibyvqc .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#dsiseazbkq .gt_first_summary_row.thick {
+#ymwwibyvqc .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#dsiseazbkq .gt_last_summary_row {
+#ymwwibyvqc .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -4789,7 +4789,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#dsiseazbkq .gt_grand_summary_row {
+#ymwwibyvqc .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -4799,7 +4799,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#dsiseazbkq .gt_first_grand_summary_row {
+#ymwwibyvqc .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -4809,7 +4809,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#dsiseazbkq .gt_last_grand_summary_row_top {
+#ymwwibyvqc .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -4819,11 +4819,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#dsiseazbkq .gt_striped {
+#ymwwibyvqc .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#dsiseazbkq .gt_table_body {
+#ymwwibyvqc .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -4832,7 +4832,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#dsiseazbkq .gt_footnotes {
+#ymwwibyvqc .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -4846,7 +4846,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#dsiseazbkq .gt_footnote {
+#ymwwibyvqc .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -4855,7 +4855,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#dsiseazbkq .gt_sourcenotes {
+#ymwwibyvqc .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -4869,7 +4869,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#dsiseazbkq .gt_sourcenote {
+#ymwwibyvqc .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -4877,63 +4877,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#dsiseazbkq .gt_left {
+#ymwwibyvqc .gt_left {
   text-align: left;
 }
 
-#dsiseazbkq .gt_center {
+#ymwwibyvqc .gt_center {
   text-align: center;
 }
 
-#dsiseazbkq .gt_right {
+#ymwwibyvqc .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#dsiseazbkq .gt_font_normal {
+#ymwwibyvqc .gt_font_normal {
   font-weight: normal;
 }
 
-#dsiseazbkq .gt_font_bold {
+#ymwwibyvqc .gt_font_bold {
   font-weight: bold;
 }
 
-#dsiseazbkq .gt_font_italic {
+#ymwwibyvqc .gt_font_italic {
   font-style: italic;
 }
 
-#dsiseazbkq .gt_super {
+#ymwwibyvqc .gt_super {
   font-size: 65%;
 }
 
-#dsiseazbkq .gt_footnote_marks {
+#ymwwibyvqc .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#dsiseazbkq .gt_asterisk {
+#ymwwibyvqc .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#dsiseazbkq .gt_indent_1 {
+#ymwwibyvqc .gt_indent_1 {
   text-indent: 5px;
 }
 
-#dsiseazbkq .gt_indent_2 {
+#ymwwibyvqc .gt_indent_2 {
   text-indent: 10px;
 }
 
-#dsiseazbkq .gt_indent_3 {
+#ymwwibyvqc .gt_indent_3 {
   text-indent: 15px;
 }
 
-#dsiseazbkq .gt_indent_4 {
+#ymwwibyvqc .gt_indent_4 {
   text-indent: 20px;
 }
 
-#dsiseazbkq .gt_indent_5 {
+#ymwwibyvqc .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -4965,11 +4965,11 @@ <h2 class="page-header">Variables</h2>
 </a>
 </div>
 <div class="row spacing">
-<a class="anchor-pos anchor-pos-variable" id="pp_var_hdkpejietc">
+<a class="anchor-pos anchor-pos-variable" id="pp_var_pidlnailgs">
 <div class="variable">
 <div class="col-sm-3">
 <p class="h4" style="margin-bottom:0;margin-top:-2px;" title="Tree_name">
-<a href="#pp_var_hdkpejietc">
+<a href="#pp_var_pidlnailgs">
 Tree_name
 <br><small style="margin-top:0;">
 <code>character</code>
@@ -4978,23 +4978,23 @@ <h2 class="page-header">Variables</h2>
 </p>
 </div>
 <div class="col-sm-5">
-<div id="epspvnysjy" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#epspvnysjy table {
+<div id="jyfioofpop" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#jyfioofpop table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#epspvnysjy thead, #epspvnysjy tbody, #epspvnysjy tfoot, #epspvnysjy tr, #epspvnysjy td, #epspvnysjy th {
+#jyfioofpop thead, #jyfioofpop tbody, #jyfioofpop tfoot, #jyfioofpop tr, #jyfioofpop td, #jyfioofpop th {
   border-style: none;
 }
 
-#epspvnysjy p {
+#jyfioofpop p {
   margin: 0;
   padding: 0;
 }
 
-#epspvnysjy .gt_table {
+#jyfioofpop .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -5020,12 +5020,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#epspvnysjy .gt_caption {
+#jyfioofpop .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#epspvnysjy .gt_title {
+#jyfioofpop .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -5037,7 +5037,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#epspvnysjy .gt_subtitle {
+#jyfioofpop .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -5049,7 +5049,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#epspvnysjy .gt_heading {
+#jyfioofpop .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -5061,13 +5061,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#epspvnysjy .gt_bottom_border {
+#jyfioofpop .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#epspvnysjy .gt_col_headings {
+#jyfioofpop .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -5082,7 +5082,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#epspvnysjy .gt_col_heading {
+#jyfioofpop .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -5102,7 +5102,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#epspvnysjy .gt_column_spanner_outer {
+#jyfioofpop .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -5114,15 +5114,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#epspvnysjy .gt_column_spanner_outer:first-child {
+#jyfioofpop .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#epspvnysjy .gt_column_spanner_outer:last-child {
+#jyfioofpop .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#epspvnysjy .gt_column_spanner {
+#jyfioofpop .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -5134,11 +5134,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#epspvnysjy .gt_spanner_row {
+#jyfioofpop .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#epspvnysjy .gt_group_heading {
+#jyfioofpop .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -5164,7 +5164,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#epspvnysjy .gt_empty_group_heading {
+#jyfioofpop .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -5179,15 +5179,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#epspvnysjy .gt_from_md > :first-child {
+#jyfioofpop .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#epspvnysjy .gt_from_md > :last-child {
+#jyfioofpop .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#epspvnysjy .gt_row {
+#jyfioofpop .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -5206,7 +5206,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#epspvnysjy .gt_stub {
+#jyfioofpop .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -5219,7 +5219,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#epspvnysjy .gt_stub_row_group {
+#jyfioofpop .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -5233,15 +5233,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#epspvnysjy .gt_row_group_first td {
+#jyfioofpop .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#epspvnysjy .gt_row_group_first th {
+#jyfioofpop .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#epspvnysjy .gt_summary_row {
+#jyfioofpop .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -5251,16 +5251,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#epspvnysjy .gt_first_summary_row {
+#jyfioofpop .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#epspvnysjy .gt_first_summary_row.thick {
+#jyfioofpop .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#epspvnysjy .gt_last_summary_row {
+#jyfioofpop .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -5270,7 +5270,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#epspvnysjy .gt_grand_summary_row {
+#jyfioofpop .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -5280,7 +5280,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#epspvnysjy .gt_first_grand_summary_row {
+#jyfioofpop .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -5290,7 +5290,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#epspvnysjy .gt_last_grand_summary_row_top {
+#jyfioofpop .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -5300,11 +5300,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#epspvnysjy .gt_striped {
+#jyfioofpop .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#epspvnysjy .gt_table_body {
+#jyfioofpop .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -5313,7 +5313,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#epspvnysjy .gt_footnotes {
+#jyfioofpop .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -5327,7 +5327,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#epspvnysjy .gt_footnote {
+#jyfioofpop .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -5336,7 +5336,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#epspvnysjy .gt_sourcenotes {
+#jyfioofpop .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -5350,7 +5350,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#epspvnysjy .gt_sourcenote {
+#jyfioofpop .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -5358,63 +5358,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#epspvnysjy .gt_left {
+#jyfioofpop .gt_left {
   text-align: left;
 }
 
-#epspvnysjy .gt_center {
+#jyfioofpop .gt_center {
   text-align: center;
 }
 
-#epspvnysjy .gt_right {
+#jyfioofpop .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#epspvnysjy .gt_font_normal {
+#jyfioofpop .gt_font_normal {
   font-weight: normal;
 }
 
-#epspvnysjy .gt_font_bold {
+#jyfioofpop .gt_font_bold {
   font-weight: bold;
 }
 
-#epspvnysjy .gt_font_italic {
+#jyfioofpop .gt_font_italic {
   font-style: italic;
 }
 
-#epspvnysjy .gt_super {
+#jyfioofpop .gt_super {
   font-size: 65%;
 }
 
-#epspvnysjy .gt_footnote_marks {
+#jyfioofpop .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#epspvnysjy .gt_asterisk {
+#jyfioofpop .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#epspvnysjy .gt_indent_1 {
+#jyfioofpop .gt_indent_1 {
   text-indent: 5px;
 }
 
-#epspvnysjy .gt_indent_2 {
+#jyfioofpop .gt_indent_2 {
   text-indent: 10px;
 }
 
-#epspvnysjy .gt_indent_3 {
+#jyfioofpop .gt_indent_3 {
   text-indent: 15px;
 }
 
-#epspvnysjy .gt_indent_4 {
+#jyfioofpop .gt_indent_4 {
   text-indent: 20px;
 }
 
-#epspvnysjy .gt_indent_5 {
+#jyfioofpop .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -5442,39 +5442,39 @@ <h2 class="page-header">Variables</h2>
 </div>
 <div class="col-sm-4"> </div>
 <div class="col-sm-12 text-left">
-<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-hdkpejietc, #minifreqtablehdkpejietc" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
+<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-pidlnailgs, #minifreqtablepidlnailgs" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
 </div>
-<div id="bottom-hdkpejietc" class="collapse" aria-expanded="false" style="height: 5px;">
+<div id="bottom-pidlnailgs" class="collapse" aria-expanded="false" style="height: 5px;">
 <div class="row spacing">
 <ul class="nav nav-tabs" role="tablist">
 <li role="presentation" class="active" style="padding-top: 5px;">
-<a href="#hdkpejietcbottom-hdkpejietccommon_values" aria-controls="hdkpejietcbottom-hdkpejietccommon_values" role="tab" data-toggle="tab">Common Values</a>
+<a href="#pidlnailgsbottom-pidlnailgscommon_values" aria-controls="pidlnailgsbottom-pidlnailgscommon_values" role="tab" data-toggle="tab">Common Values</a>
 </li>
 <li role="presentation" class="" style="padding-top: 5px;">
-<a href="#hdkpejietcbottom-hdkpejietclengths" aria-controls="hdkpejietcbottom-hdkpejietclengths" role="tab" data-toggle="tab">String Lengths</a>
+<a href="#pidlnailgsbottom-pidlnailgslengths" aria-controls="pidlnailgsbottom-pidlnailgslengths" role="tab" data-toggle="tab">String Lengths</a>
 </li>
 </ul>
 <div class="tab-content">
-<div role="tabpanel" class="tab-pane col-sm-12 active" id="hdkpejietcbottom-hdkpejietccommon_values">
+<div role="tabpanel" class="tab-pane col-sm-12 active" id="pidlnailgsbottom-pidlnailgscommon_values">
 <div class="col-sm-12">
 <p class="h4"></p>
-<div id="nkzyxftkmo" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#nkzyxftkmo table {
+<div id="ysxpujvvkm" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#ysxpujvvkm table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#nkzyxftkmo thead, #nkzyxftkmo tbody, #nkzyxftkmo tfoot, #nkzyxftkmo tr, #nkzyxftkmo td, #nkzyxftkmo th {
+#ysxpujvvkm thead, #ysxpujvvkm tbody, #ysxpujvvkm tfoot, #ysxpujvvkm tr, #ysxpujvvkm td, #ysxpujvvkm th {
   border-style: none;
 }
 
-#nkzyxftkmo p {
+#ysxpujvvkm p {
   margin: 0;
   padding: 0;
 }
 
-#nkzyxftkmo .gt_table {
+#ysxpujvvkm .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -5500,12 +5500,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#nkzyxftkmo .gt_caption {
+#ysxpujvvkm .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#nkzyxftkmo .gt_title {
+#ysxpujvvkm .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -5517,7 +5517,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#nkzyxftkmo .gt_subtitle {
+#ysxpujvvkm .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -5529,7 +5529,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#nkzyxftkmo .gt_heading {
+#ysxpujvvkm .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -5541,13 +5541,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#nkzyxftkmo .gt_bottom_border {
+#ysxpujvvkm .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#nkzyxftkmo .gt_col_headings {
+#ysxpujvvkm .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -5562,7 +5562,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#nkzyxftkmo .gt_col_heading {
+#ysxpujvvkm .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -5582,7 +5582,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#nkzyxftkmo .gt_column_spanner_outer {
+#ysxpujvvkm .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -5594,15 +5594,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#nkzyxftkmo .gt_column_spanner_outer:first-child {
+#ysxpujvvkm .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#nkzyxftkmo .gt_column_spanner_outer:last-child {
+#ysxpujvvkm .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#nkzyxftkmo .gt_column_spanner {
+#ysxpujvvkm .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -5614,11 +5614,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#nkzyxftkmo .gt_spanner_row {
+#ysxpujvvkm .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#nkzyxftkmo .gt_group_heading {
+#ysxpujvvkm .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -5644,7 +5644,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#nkzyxftkmo .gt_empty_group_heading {
+#ysxpujvvkm .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -5659,15 +5659,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#nkzyxftkmo .gt_from_md > :first-child {
+#ysxpujvvkm .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#nkzyxftkmo .gt_from_md > :last-child {
+#ysxpujvvkm .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#nkzyxftkmo .gt_row {
+#ysxpujvvkm .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -5686,7 +5686,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#nkzyxftkmo .gt_stub {
+#ysxpujvvkm .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -5699,7 +5699,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#nkzyxftkmo .gt_stub_row_group {
+#ysxpujvvkm .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -5713,15 +5713,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#nkzyxftkmo .gt_row_group_first td {
+#ysxpujvvkm .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#nkzyxftkmo .gt_row_group_first th {
+#ysxpujvvkm .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#nkzyxftkmo .gt_summary_row {
+#ysxpujvvkm .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -5731,16 +5731,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#nkzyxftkmo .gt_first_summary_row {
+#ysxpujvvkm .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#nkzyxftkmo .gt_first_summary_row.thick {
+#ysxpujvvkm .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#nkzyxftkmo .gt_last_summary_row {
+#ysxpujvvkm .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -5750,7 +5750,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#nkzyxftkmo .gt_grand_summary_row {
+#ysxpujvvkm .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -5760,7 +5760,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#nkzyxftkmo .gt_first_grand_summary_row {
+#ysxpujvvkm .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -5770,7 +5770,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#nkzyxftkmo .gt_last_grand_summary_row_top {
+#ysxpujvvkm .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -5780,11 +5780,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#nkzyxftkmo .gt_striped {
+#ysxpujvvkm .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#nkzyxftkmo .gt_table_body {
+#ysxpujvvkm .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -5793,7 +5793,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#nkzyxftkmo .gt_footnotes {
+#ysxpujvvkm .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -5807,7 +5807,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#nkzyxftkmo .gt_footnote {
+#ysxpujvvkm .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -5816,7 +5816,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#nkzyxftkmo .gt_sourcenotes {
+#ysxpujvvkm .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -5830,7 +5830,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#nkzyxftkmo .gt_sourcenote {
+#ysxpujvvkm .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -5838,63 +5838,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#nkzyxftkmo .gt_left {
+#ysxpujvvkm .gt_left {
   text-align: left;
 }
 
-#nkzyxftkmo .gt_center {
+#ysxpujvvkm .gt_center {
   text-align: center;
 }
 
-#nkzyxftkmo .gt_right {
+#ysxpujvvkm .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#nkzyxftkmo .gt_font_normal {
+#ysxpujvvkm .gt_font_normal {
   font-weight: normal;
 }
 
-#nkzyxftkmo .gt_font_bold {
+#ysxpujvvkm .gt_font_bold {
   font-weight: bold;
 }
 
-#nkzyxftkmo .gt_font_italic {
+#ysxpujvvkm .gt_font_italic {
   font-style: italic;
 }
 
-#nkzyxftkmo .gt_super {
+#ysxpujvvkm .gt_super {
   font-size: 65%;
 }
 
-#nkzyxftkmo .gt_footnote_marks {
+#ysxpujvvkm .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#nkzyxftkmo .gt_asterisk {
+#ysxpujvvkm .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#nkzyxftkmo .gt_indent_1 {
+#ysxpujvvkm .gt_indent_1 {
   text-indent: 5px;
 }
 
-#nkzyxftkmo .gt_indent_2 {
+#ysxpujvvkm .gt_indent_2 {
   text-indent: 10px;
 }
 
-#nkzyxftkmo .gt_indent_3 {
+#ysxpujvvkm .gt_indent_3 {
   text-indent: 15px;
 }
 
-#nkzyxftkmo .gt_indent_4 {
+#ysxpujvvkm .gt_indent_4 {
   text-indent: 20px;
 }
 
-#nkzyxftkmo .gt_indent_5 {
+#ysxpujvvkm .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -5962,26 +5962,26 @@ <h2 class="page-header">Variables</h2>
 </div>
 </div>
 </div>
-<div role="tabpanel" class="tab-pane col-sm-12" id="hdkpejietcbottom-hdkpejietclengths">
+<div role="tabpanel" class="tab-pane col-sm-12" id="pidlnailgsbottom-pidlnailgslengths">
 <div class="col-sm-4">
 <p class="h4">String Lengths</p>
-<div id="scewlqsihy" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#scewlqsihy table {
+<div id="mrynligmll" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#mrynligmll table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#scewlqsihy thead, #scewlqsihy tbody, #scewlqsihy tfoot, #scewlqsihy tr, #scewlqsihy td, #scewlqsihy th {
+#mrynligmll thead, #mrynligmll tbody, #mrynligmll tfoot, #mrynligmll tr, #mrynligmll td, #mrynligmll th {
   border-style: none;
 }
 
-#scewlqsihy p {
+#mrynligmll p {
   margin: 0;
   padding: 0;
 }
 
-#scewlqsihy .gt_table {
+#mrynligmll .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -6007,12 +6007,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#scewlqsihy .gt_caption {
+#mrynligmll .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#scewlqsihy .gt_title {
+#mrynligmll .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -6024,7 +6024,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#scewlqsihy .gt_subtitle {
+#mrynligmll .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -6036,7 +6036,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#scewlqsihy .gt_heading {
+#mrynligmll .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -6048,13 +6048,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#scewlqsihy .gt_bottom_border {
+#mrynligmll .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#scewlqsihy .gt_col_headings {
+#mrynligmll .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -6069,7 +6069,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#scewlqsihy .gt_col_heading {
+#mrynligmll .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -6089,7 +6089,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#scewlqsihy .gt_column_spanner_outer {
+#mrynligmll .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -6101,15 +6101,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#scewlqsihy .gt_column_spanner_outer:first-child {
+#mrynligmll .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#scewlqsihy .gt_column_spanner_outer:last-child {
+#mrynligmll .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#scewlqsihy .gt_column_spanner {
+#mrynligmll .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -6121,11 +6121,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#scewlqsihy .gt_spanner_row {
+#mrynligmll .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#scewlqsihy .gt_group_heading {
+#mrynligmll .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -6151,7 +6151,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#scewlqsihy .gt_empty_group_heading {
+#mrynligmll .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -6166,15 +6166,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#scewlqsihy .gt_from_md > :first-child {
+#mrynligmll .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#scewlqsihy .gt_from_md > :last-child {
+#mrynligmll .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#scewlqsihy .gt_row {
+#mrynligmll .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -6193,7 +6193,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#scewlqsihy .gt_stub {
+#mrynligmll .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -6206,7 +6206,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#scewlqsihy .gt_stub_row_group {
+#mrynligmll .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -6220,15 +6220,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#scewlqsihy .gt_row_group_first td {
+#mrynligmll .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#scewlqsihy .gt_row_group_first th {
+#mrynligmll .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#scewlqsihy .gt_summary_row {
+#mrynligmll .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -6238,16 +6238,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#scewlqsihy .gt_first_summary_row {
+#mrynligmll .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#scewlqsihy .gt_first_summary_row.thick {
+#mrynligmll .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#scewlqsihy .gt_last_summary_row {
+#mrynligmll .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -6257,7 +6257,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#scewlqsihy .gt_grand_summary_row {
+#mrynligmll .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -6267,7 +6267,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#scewlqsihy .gt_first_grand_summary_row {
+#mrynligmll .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -6277,7 +6277,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#scewlqsihy .gt_last_grand_summary_row_top {
+#mrynligmll .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -6287,11 +6287,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#scewlqsihy .gt_striped {
+#mrynligmll .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#scewlqsihy .gt_table_body {
+#mrynligmll .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -6300,7 +6300,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#scewlqsihy .gt_footnotes {
+#mrynligmll .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -6314,7 +6314,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#scewlqsihy .gt_footnote {
+#mrynligmll .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -6323,7 +6323,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#scewlqsihy .gt_sourcenotes {
+#mrynligmll .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -6337,7 +6337,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#scewlqsihy .gt_sourcenote {
+#mrynligmll .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -6345,63 +6345,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#scewlqsihy .gt_left {
+#mrynligmll .gt_left {
   text-align: left;
 }
 
-#scewlqsihy .gt_center {
+#mrynligmll .gt_center {
   text-align: center;
 }
 
-#scewlqsihy .gt_right {
+#mrynligmll .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#scewlqsihy .gt_font_normal {
+#mrynligmll .gt_font_normal {
   font-weight: normal;
 }
 
-#scewlqsihy .gt_font_bold {
+#mrynligmll .gt_font_bold {
   font-weight: bold;
 }
 
-#scewlqsihy .gt_font_italic {
+#mrynligmll .gt_font_italic {
   font-style: italic;
 }
 
-#scewlqsihy .gt_super {
+#mrynligmll .gt_super {
   font-size: 65%;
 }
 
-#scewlqsihy .gt_footnote_marks {
+#mrynligmll .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#scewlqsihy .gt_asterisk {
+#mrynligmll .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#scewlqsihy .gt_indent_1 {
+#mrynligmll .gt_indent_1 {
   text-indent: 5px;
 }
 
-#scewlqsihy .gt_indent_2 {
+#mrynligmll .gt_indent_2 {
   text-indent: 10px;
 }
 
-#scewlqsihy .gt_indent_3 {
+#mrynligmll .gt_indent_3 {
   text-indent: 15px;
 }
 
-#scewlqsihy .gt_indent_4 {
+#mrynligmll .gt_indent_4 {
   text-indent: 20px;
 }
 
-#scewlqsihy .gt_indent_5 {
+#mrynligmll .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -6433,11 +6433,11 @@ <h2 class="page-header">Variables</h2>
 </a>
 </div>
 <div class="row spacing">
-<a class="anchor-pos anchor-pos-variable" id="pp_var_nupuziuqff">
+<a class="anchor-pos anchor-pos-variable" id="pp_var_ucgzqesrpn">
 <div class="variable">
 <div class="col-sm-3">
 <p class="h4" style="margin-bottom:0;margin-top:-2px;" title="Sample_id">
-<a href="#pp_var_nupuziuqff">
+<a href="#pp_var_ucgzqesrpn">
 Sample_id
 <br><small style="margin-top:0;">
 <code>integer</code>
@@ -6446,23 +6446,23 @@ <h2 class="page-header">Variables</h2>
 </p>
 </div>
 <div class="col-sm-5">
-<div id="zudlxodkpu" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#zudlxodkpu table {
+<div id="fkiaciodxf" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#fkiaciodxf table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#zudlxodkpu thead, #zudlxodkpu tbody, #zudlxodkpu tfoot, #zudlxodkpu tr, #zudlxodkpu td, #zudlxodkpu th {
+#fkiaciodxf thead, #fkiaciodxf tbody, #fkiaciodxf tfoot, #fkiaciodxf tr, #fkiaciodxf td, #fkiaciodxf th {
   border-style: none;
 }
 
-#zudlxodkpu p {
+#fkiaciodxf p {
   margin: 0;
   padding: 0;
 }
 
-#zudlxodkpu .gt_table {
+#fkiaciodxf .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -6488,12 +6488,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#zudlxodkpu .gt_caption {
+#fkiaciodxf .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#zudlxodkpu .gt_title {
+#fkiaciodxf .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -6505,7 +6505,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#zudlxodkpu .gt_subtitle {
+#fkiaciodxf .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -6517,7 +6517,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#zudlxodkpu .gt_heading {
+#fkiaciodxf .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -6529,13 +6529,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#zudlxodkpu .gt_bottom_border {
+#fkiaciodxf .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#zudlxodkpu .gt_col_headings {
+#fkiaciodxf .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -6550,7 +6550,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#zudlxodkpu .gt_col_heading {
+#fkiaciodxf .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -6570,7 +6570,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#zudlxodkpu .gt_column_spanner_outer {
+#fkiaciodxf .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -6582,15 +6582,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#zudlxodkpu .gt_column_spanner_outer:first-child {
+#fkiaciodxf .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#zudlxodkpu .gt_column_spanner_outer:last-child {
+#fkiaciodxf .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#zudlxodkpu .gt_column_spanner {
+#fkiaciodxf .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -6602,11 +6602,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#zudlxodkpu .gt_spanner_row {
+#fkiaciodxf .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#zudlxodkpu .gt_group_heading {
+#fkiaciodxf .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -6632,7 +6632,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#zudlxodkpu .gt_empty_group_heading {
+#fkiaciodxf .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -6647,15 +6647,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#zudlxodkpu .gt_from_md > :first-child {
+#fkiaciodxf .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#zudlxodkpu .gt_from_md > :last-child {
+#fkiaciodxf .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#zudlxodkpu .gt_row {
+#fkiaciodxf .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -6674,7 +6674,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#zudlxodkpu .gt_stub {
+#fkiaciodxf .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -6687,7 +6687,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#zudlxodkpu .gt_stub_row_group {
+#fkiaciodxf .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -6701,15 +6701,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#zudlxodkpu .gt_row_group_first td {
+#fkiaciodxf .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#zudlxodkpu .gt_row_group_first th {
+#fkiaciodxf .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#zudlxodkpu .gt_summary_row {
+#fkiaciodxf .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -6719,16 +6719,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#zudlxodkpu .gt_first_summary_row {
+#fkiaciodxf .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#zudlxodkpu .gt_first_summary_row.thick {
+#fkiaciodxf .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#zudlxodkpu .gt_last_summary_row {
+#fkiaciodxf .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -6738,7 +6738,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#zudlxodkpu .gt_grand_summary_row {
+#fkiaciodxf .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -6748,7 +6748,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#zudlxodkpu .gt_first_grand_summary_row {
+#fkiaciodxf .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -6758,7 +6758,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#zudlxodkpu .gt_last_grand_summary_row_top {
+#fkiaciodxf .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -6768,11 +6768,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#zudlxodkpu .gt_striped {
+#fkiaciodxf .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#zudlxodkpu .gt_table_body {
+#fkiaciodxf .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -6781,7 +6781,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#zudlxodkpu .gt_footnotes {
+#fkiaciodxf .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -6795,7 +6795,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#zudlxodkpu .gt_footnote {
+#fkiaciodxf .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -6804,7 +6804,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#zudlxodkpu .gt_sourcenotes {
+#fkiaciodxf .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -6818,7 +6818,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#zudlxodkpu .gt_sourcenote {
+#fkiaciodxf .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -6826,63 +6826,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#zudlxodkpu .gt_left {
+#fkiaciodxf .gt_left {
   text-align: left;
 }
 
-#zudlxodkpu .gt_center {
+#fkiaciodxf .gt_center {
   text-align: center;
 }
 
-#zudlxodkpu .gt_right {
+#fkiaciodxf .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#zudlxodkpu .gt_font_normal {
+#fkiaciodxf .gt_font_normal {
   font-weight: normal;
 }
 
-#zudlxodkpu .gt_font_bold {
+#fkiaciodxf .gt_font_bold {
   font-weight: bold;
 }
 
-#zudlxodkpu .gt_font_italic {
+#fkiaciodxf .gt_font_italic {
   font-style: italic;
 }
 
-#zudlxodkpu .gt_super {
+#fkiaciodxf .gt_super {
   font-size: 65%;
 }
 
-#zudlxodkpu .gt_footnote_marks {
+#fkiaciodxf .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#zudlxodkpu .gt_asterisk {
+#fkiaciodxf .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#zudlxodkpu .gt_indent_1 {
+#fkiaciodxf .gt_indent_1 {
   text-indent: 5px;
 }
 
-#zudlxodkpu .gt_indent_2 {
+#fkiaciodxf .gt_indent_2 {
   text-indent: 10px;
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-#zudlxodkpu .gt_indent_3 {
+#fkiaciodxf .gt_indent_3 {
   text-indent: 15px;
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-#zudlxodkpu .gt_indent_4 {
+#fkiaciodxf .gt_indent_4 {
   text-indent: 20px;
 }
 
-#zudlxodkpu .gt_indent_5 {
+#fkiaciodxf .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -6909,23 +6909,23 @@ <h2 class="page-header">Variables</h2>
 </div>
 </div>
 <div class="col-sm-4">
-<div id="xybbphrtvg" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#xybbphrtvg table {
+<div id="awzjosnsdp" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#awzjosnsdp table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#xybbphrtvg thead, #xybbphrtvg tbody, #xybbphrtvg tfoot, #xybbphrtvg tr, #xybbphrtvg td, #xybbphrtvg th {
+#awzjosnsdp thead, #awzjosnsdp tbody, #awzjosnsdp tfoot, #awzjosnsdp tr, #awzjosnsdp td, #awzjosnsdp th {
   border-style: none;
 }
 
-#xybbphrtvg p {
+#awzjosnsdp p {
   margin: 0;
   padding: 0;
 }
 
-#xybbphrtvg .gt_table {
+#awzjosnsdp .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -6951,12 +6951,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#xybbphrtvg .gt_caption {
+#awzjosnsdp .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#xybbphrtvg .gt_title {
+#awzjosnsdp .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -6968,7 +6968,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#xybbphrtvg .gt_subtitle {
+#awzjosnsdp .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -6980,7 +6980,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#xybbphrtvg .gt_heading {
+#awzjosnsdp .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -6992,13 +6992,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#xybbphrtvg .gt_bottom_border {
+#awzjosnsdp .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#xybbphrtvg .gt_col_headings {
+#awzjosnsdp .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -7013,7 +7013,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#xybbphrtvg .gt_col_heading {
+#awzjosnsdp .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -7033,7 +7033,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#xybbphrtvg .gt_column_spanner_outer {
+#awzjosnsdp .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -7045,15 +7045,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#xybbphrtvg .gt_column_spanner_outer:first-child {
+#awzjosnsdp .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#xybbphrtvg .gt_column_spanner_outer:last-child {
+#awzjosnsdp .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#xybbphrtvg .gt_column_spanner {
+#awzjosnsdp .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -7065,11 +7065,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#xybbphrtvg .gt_spanner_row {
+#awzjosnsdp .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#xybbphrtvg .gt_group_heading {
+#awzjosnsdp .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -7095,7 +7095,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#xybbphrtvg .gt_empty_group_heading {
+#awzjosnsdp .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -7110,15 +7110,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#xybbphrtvg .gt_from_md > :first-child {
+#awzjosnsdp .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#xybbphrtvg .gt_from_md > :last-child {
+#awzjosnsdp .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#xybbphrtvg .gt_row {
+#awzjosnsdp .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -7137,7 +7137,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#xybbphrtvg .gt_stub {
+#awzjosnsdp .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -7150,7 +7150,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#xybbphrtvg .gt_stub_row_group {
+#awzjosnsdp .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -7164,15 +7164,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#xybbphrtvg .gt_row_group_first td {
+#awzjosnsdp .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#xybbphrtvg .gt_row_group_first th {
+#awzjosnsdp .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#xybbphrtvg .gt_summary_row {
+#awzjosnsdp .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -7182,16 +7182,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#xybbphrtvg .gt_first_summary_row {
+#awzjosnsdp .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#xybbphrtvg .gt_first_summary_row.thick {
+#awzjosnsdp .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#xybbphrtvg .gt_last_summary_row {
+#awzjosnsdp .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -7201,7 +7201,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#xybbphrtvg .gt_grand_summary_row {
+#awzjosnsdp .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -7211,7 +7211,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#xybbphrtvg .gt_first_grand_summary_row {
+#awzjosnsdp .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -7221,7 +7221,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#xybbphrtvg .gt_last_grand_summary_row_top {
+#awzjosnsdp .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -7231,11 +7231,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#xybbphrtvg .gt_striped {
+#awzjosnsdp .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#xybbphrtvg .gt_table_body {
+#awzjosnsdp .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -7244,7 +7244,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#xybbphrtvg .gt_footnotes {
+#awzjosnsdp .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -7258,7 +7258,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#xybbphrtvg .gt_footnote {
+#awzjosnsdp .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -7267,7 +7267,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#xybbphrtvg .gt_sourcenotes {
+#awzjosnsdp .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -7281,7 +7281,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#xybbphrtvg .gt_sourcenote {
+#awzjosnsdp .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -7289,63 +7289,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#xybbphrtvg .gt_left {
+#awzjosnsdp .gt_left {
   text-align: left;
 }
 
-#xybbphrtvg .gt_center {
+#awzjosnsdp .gt_center {
   text-align: center;
 }
 
-#xybbphrtvg .gt_right {
+#awzjosnsdp .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#xybbphrtvg .gt_font_normal {
+#awzjosnsdp .gt_font_normal {
   font-weight: normal;
 }
 
-#xybbphrtvg .gt_font_bold {
+#awzjosnsdp .gt_font_bold {
   font-weight: bold;
 }
 
-#xybbphrtvg .gt_font_italic {
+#awzjosnsdp .gt_font_italic {
   font-style: italic;
 }
 
-#xybbphrtvg .gt_super {
+#awzjosnsdp .gt_super {
   font-size: 65%;
 }
 
-#xybbphrtvg .gt_footnote_marks {
+#awzjosnsdp .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#xybbphrtvg .gt_asterisk {
+#awzjosnsdp .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#xybbphrtvg .gt_indent_1 {
+#awzjosnsdp .gt_indent_1 {
   text-indent: 5px;
 }
 
-#xybbphrtvg .gt_indent_2 {
+#awzjosnsdp .gt_indent_2 {
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 }
 
-#xybbphrtvg .gt_indent_3 {
+#awzjosnsdp .gt_indent_3 {
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-#xybbphrtvg .gt_indent_4 {
+#awzjosnsdp .gt_indent_4 {
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-#xybbphrtvg .gt_indent_5 {
+#awzjosnsdp .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -7372,42 +7372,42 @@ <h2 class="page-header">Variables</h2>
 </div>
 </div>
 <div class="col-sm-12 text-left">
-<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-nupuziuqff, #minifreqtablenupuziuqff" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
+<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-ucgzqesrpn, #minifreqtableucgzqesrpn" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
 </div>
-<div id="bottom-nupuziuqff" class="collapse" aria-expanded="false" style="height: 5px;">
+<div id="bottom-ucgzqesrpn" class="collapse" aria-expanded="false" style="height: 5px;">
 <div class="row spacing">
 <ul class="nav nav-tabs" role="tablist">
 <li role="presentation" class="active" style="padding-top: 5px;">
-<a href="#nupuziuqffbottom-nupuziuqffstatistics" aria-controls="nupuziuqffbottom-nupuziuqffstatistics" role="tab" data-toggle="tab">Statistics</a>
+<a href="#ucgzqesrpnbottom-ucgzqesrpnstatistics" aria-controls="ucgzqesrpnbottom-ucgzqesrpnstatistics" role="tab" data-toggle="tab">Statistics</a>
 </li>
 <li role="presentation" class="" style="padding-top: 5px;">
-<a href="#nupuziuqffbottom-nupuziuqffcommon_values" aria-controls="nupuziuqffbottom-nupuziuqffcommon_values" role="tab" data-toggle="tab">Common Values</a>
+<a href="#ucgzqesrpnbottom-ucgzqesrpncommon_values" aria-controls="ucgzqesrpnbottom-ucgzqesrpncommon_values" role="tab" data-toggle="tab">Common Values</a>
 </li>
 <li role="presentation" class="" style="padding-top: 5px;">
-<a href="#nupuziuqffbottom-nupuziuqffmax_min_slices" aria-controls="nupuziuqffbottom-nupuziuqffmax_min_slices" role="tab" data-toggle="tab">Max/Min Slices</a>
+<a href="#ucgzqesrpnbottom-ucgzqesrpnmax_min_slices" aria-controls="ucgzqesrpnbottom-ucgzqesrpnmax_min_slices" role="tab" data-toggle="tab">Max/Min Slices</a>
 </li>
 </ul>
 <div class="tab-content">
-<div role="tabpanel" class="tab-pane col-sm-12 active" id="nupuziuqffbottom-nupuziuqffstatistics">
+<div role="tabpanel" class="tab-pane col-sm-12 active" id="ucgzqesrpnbottom-ucgzqesrpnstatistics">
 <div class="col-sm-6">
 <p class="h4">Quantile Statistics</p>
-<div id="ajhkxqedqx" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#ajhkxqedqx table {
+<div id="nqwvjpbfjt" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#nqwvjpbfjt table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#ajhkxqedqx thead, #ajhkxqedqx tbody, #ajhkxqedqx tfoot, #ajhkxqedqx tr, #ajhkxqedqx td, #ajhkxqedqx th {
+#nqwvjpbfjt thead, #nqwvjpbfjt tbody, #nqwvjpbfjt tfoot, #nqwvjpbfjt tr, #nqwvjpbfjt td, #nqwvjpbfjt th {
   border-style: none;
 }
 
-#ajhkxqedqx p {
+#nqwvjpbfjt p {
   margin: 0;
   padding: 0;
 }
 
-#ajhkxqedqx .gt_table {
+#nqwvjpbfjt .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -7433,12 +7433,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#ajhkxqedqx .gt_caption {
+#nqwvjpbfjt .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#ajhkxqedqx .gt_title {
+#nqwvjpbfjt .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -7450,7 +7450,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#ajhkxqedqx .gt_subtitle {
+#nqwvjpbfjt .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -7462,7 +7462,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#ajhkxqedqx .gt_heading {
+#nqwvjpbfjt .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -7474,13 +7474,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#ajhkxqedqx .gt_bottom_border {
+#nqwvjpbfjt .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#ajhkxqedqx .gt_col_headings {
+#nqwvjpbfjt .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -7495,7 +7495,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#ajhkxqedqx .gt_col_heading {
+#nqwvjpbfjt .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -7515,7 +7515,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#ajhkxqedqx .gt_column_spanner_outer {
+#nqwvjpbfjt .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -7527,15 +7527,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#ajhkxqedqx .gt_column_spanner_outer:first-child {
+#nqwvjpbfjt .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#ajhkxqedqx .gt_column_spanner_outer:last-child {
+#nqwvjpbfjt .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#ajhkxqedqx .gt_column_spanner {
+#nqwvjpbfjt .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -7547,11 +7547,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#ajhkxqedqx .gt_spanner_row {
+#nqwvjpbfjt .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#ajhkxqedqx .gt_group_heading {
+#nqwvjpbfjt .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -7577,7 +7577,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#ajhkxqedqx .gt_empty_group_heading {
+#nqwvjpbfjt .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -7592,15 +7592,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#ajhkxqedqx .gt_from_md > :first-child {
+#nqwvjpbfjt .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#ajhkxqedqx .gt_from_md > :last-child {
+#nqwvjpbfjt .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#ajhkxqedqx .gt_row {
+#nqwvjpbfjt .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -7619,7 +7619,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#ajhkxqedqx .gt_stub {
+#nqwvjpbfjt .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -7632,7 +7632,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#ajhkxqedqx .gt_stub_row_group {
+#nqwvjpbfjt .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -7646,15 +7646,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#ajhkxqedqx .gt_row_group_first td {
+#nqwvjpbfjt .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#ajhkxqedqx .gt_row_group_first th {
+#nqwvjpbfjt .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#ajhkxqedqx .gt_summary_row {
+#nqwvjpbfjt .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -7664,16 +7664,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#ajhkxqedqx .gt_first_summary_row {
+#nqwvjpbfjt .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#ajhkxqedqx .gt_first_summary_row.thick {
+#nqwvjpbfjt .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#ajhkxqedqx .gt_last_summary_row {
+#nqwvjpbfjt .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -7683,7 +7683,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#ajhkxqedqx .gt_grand_summary_row {
+#nqwvjpbfjt .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -7693,7 +7693,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#ajhkxqedqx .gt_first_grand_summary_row {
+#nqwvjpbfjt .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -7703,7 +7703,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#ajhkxqedqx .gt_last_grand_summary_row_top {
+#nqwvjpbfjt .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -7713,11 +7713,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#ajhkxqedqx .gt_striped {
+#nqwvjpbfjt .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#ajhkxqedqx .gt_table_body {
+#nqwvjpbfjt .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -7726,7 +7726,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#ajhkxqedqx .gt_footnotes {
+#nqwvjpbfjt .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -7740,7 +7740,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#ajhkxqedqx .gt_footnote {
+#nqwvjpbfjt .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -7749,7 +7749,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#ajhkxqedqx .gt_sourcenotes {
+#nqwvjpbfjt .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -7763,7 +7763,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#ajhkxqedqx .gt_sourcenote {
+#nqwvjpbfjt .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -7771,63 +7771,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#ajhkxqedqx .gt_left {
+#nqwvjpbfjt .gt_left {
   text-align: left;
 }
 
-#ajhkxqedqx .gt_center {
+#nqwvjpbfjt .gt_center {
   text-align: center;
 }
 
-#ajhkxqedqx .gt_right {
+#nqwvjpbfjt .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#ajhkxqedqx .gt_font_normal {
+#nqwvjpbfjt .gt_font_normal {
   font-weight: normal;
 }
 
-#ajhkxqedqx .gt_font_bold {
+#nqwvjpbfjt .gt_font_bold {
   font-weight: bold;
 }
 
-#ajhkxqedqx .gt_font_italic {
+#nqwvjpbfjt .gt_font_italic {
   font-style: italic;
 }
 
-#ajhkxqedqx .gt_super {
+#nqwvjpbfjt .gt_super {
   font-size: 65%;
 }
 
-#ajhkxqedqx .gt_footnote_marks {
+#nqwvjpbfjt .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#ajhkxqedqx .gt_asterisk {
+#nqwvjpbfjt .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#ajhkxqedqx .gt_indent_1 {
+#nqwvjpbfjt .gt_indent_1 {
   text-indent: 5px;
 }
 
-#ajhkxqedqx .gt_indent_2 {
+#nqwvjpbfjt .gt_indent_2 {
   text-indent: 10px;
 }
 
-#ajhkxqedqx .gt_indent_3 {
+#nqwvjpbfjt .gt_indent_3 {
   text-indent: 15px;
 }
 
-#ajhkxqedqx .gt_indent_4 {
+#nqwvjpbfjt .gt_indent_4 {
   text-indent: 20px;
 }
 
-#ajhkxqedqx .gt_indent_5 {
+#nqwvjpbfjt .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -7873,23 +7873,23 @@ <h2 class="page-header">Variables</h2>
 </div>
 <div class="col-sm-6">
 <p class="h4">Descriptive Statistics</p>
-<div id="kexcvbedfy" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#kexcvbedfy table {
+<div id="mmclelrdab" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#mmclelrdab table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#kexcvbedfy thead, #kexcvbedfy tbody, #kexcvbedfy tfoot, #kexcvbedfy tr, #kexcvbedfy td, #kexcvbedfy th {
+#mmclelrdab thead, #mmclelrdab tbody, #mmclelrdab tfoot, #mmclelrdab tr, #mmclelrdab td, #mmclelrdab th {
   border-style: none;
 }
 
-#kexcvbedfy p {
+#mmclelrdab p {
   margin: 0;
   padding: 0;
 }
 
-#kexcvbedfy .gt_table {
+#mmclelrdab .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -7915,12 +7915,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#kexcvbedfy .gt_caption {
+#mmclelrdab .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#kexcvbedfy .gt_title {
+#mmclelrdab .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -7932,7 +7932,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#kexcvbedfy .gt_subtitle {
+#mmclelrdab .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -7944,7 +7944,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#kexcvbedfy .gt_heading {
+#mmclelrdab .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -7956,13 +7956,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#kexcvbedfy .gt_bottom_border {
+#mmclelrdab .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#kexcvbedfy .gt_col_headings {
+#mmclelrdab .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -7977,7 +7977,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#kexcvbedfy .gt_col_heading {
+#mmclelrdab .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -7997,7 +7997,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#kexcvbedfy .gt_column_spanner_outer {
+#mmclelrdab .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -8009,15 +8009,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#kexcvbedfy .gt_column_spanner_outer:first-child {
+#mmclelrdab .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#kexcvbedfy .gt_column_spanner_outer:last-child {
+#mmclelrdab .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#kexcvbedfy .gt_column_spanner {
+#mmclelrdab .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -8029,11 +8029,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#kexcvbedfy .gt_spanner_row {
+#mmclelrdab .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#kexcvbedfy .gt_group_heading {
+#mmclelrdab .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -8059,7 +8059,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#kexcvbedfy .gt_empty_group_heading {
+#mmclelrdab .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -8074,15 +8074,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#kexcvbedfy .gt_from_md > :first-child {
+#mmclelrdab .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#kexcvbedfy .gt_from_md > :last-child {
+#mmclelrdab .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#kexcvbedfy .gt_row {
+#mmclelrdab .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -8101,7 +8101,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#kexcvbedfy .gt_stub {
+#mmclelrdab .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -8114,7 +8114,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#kexcvbedfy .gt_stub_row_group {
+#mmclelrdab .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -8128,15 +8128,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#kexcvbedfy .gt_row_group_first td {
+#mmclelrdab .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#kexcvbedfy .gt_row_group_first th {
+#mmclelrdab .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#kexcvbedfy .gt_summary_row {
+#mmclelrdab .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -8146,16 +8146,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#kexcvbedfy .gt_first_summary_row {
+#mmclelrdab .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#kexcvbedfy .gt_first_summary_row.thick {
+#mmclelrdab .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#kexcvbedfy .gt_last_summary_row {
+#mmclelrdab .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -8165,7 +8165,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#kexcvbedfy .gt_grand_summary_row {
+#mmclelrdab .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -8175,7 +8175,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#kexcvbedfy .gt_first_grand_summary_row {
+#mmclelrdab .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -8185,7 +8185,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#kexcvbedfy .gt_last_grand_summary_row_top {
+#mmclelrdab .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -8195,11 +8195,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#kexcvbedfy .gt_striped {
+#mmclelrdab .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#kexcvbedfy .gt_table_body {
+#mmclelrdab .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -8208,7 +8208,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#kexcvbedfy .gt_footnotes {
+#mmclelrdab .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -8222,7 +8222,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#kexcvbedfy .gt_footnote {
+#mmclelrdab .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -8231,7 +8231,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#kexcvbedfy .gt_sourcenotes {
+#mmclelrdab .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -8245,7 +8245,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#kexcvbedfy .gt_sourcenote {
+#mmclelrdab .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -8253,63 +8253,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#kexcvbedfy .gt_left {
+#mmclelrdab .gt_left {
   text-align: left;
 }
 
-#kexcvbedfy .gt_center {
+#mmclelrdab .gt_center {
   text-align: center;
 }
 
-#kexcvbedfy .gt_right {
+#mmclelrdab .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#kexcvbedfy .gt_font_normal {
+#mmclelrdab .gt_font_normal {
   font-weight: normal;
 }
 
-#kexcvbedfy .gt_font_bold {
+#mmclelrdab .gt_font_bold {
   font-weight: bold;
 }
 
-#kexcvbedfy .gt_font_italic {
+#mmclelrdab .gt_font_italic {
   font-style: italic;
 }
 
-#kexcvbedfy .gt_super {
+#mmclelrdab .gt_super {
   font-size: 65%;
 }
 
-#kexcvbedfy .gt_footnote_marks {
+#mmclelrdab .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#kexcvbedfy .gt_asterisk {
+#mmclelrdab .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#kexcvbedfy .gt_indent_1 {
+#mmclelrdab .gt_indent_1 {
   text-indent: 5px;
 }
 
-#kexcvbedfy .gt_indent_2 {
+#mmclelrdab .gt_indent_2 {
   text-indent: 10px;
 }
 
-#kexcvbedfy .gt_indent_3 {
+#mmclelrdab .gt_indent_3 {
   text-indent: 15px;
 }
 
-#kexcvbedfy .gt_indent_4 {
+#mmclelrdab .gt_indent_4 {
   text-indent: 20px;
 }
 
-#kexcvbedfy .gt_indent_5 {
+#mmclelrdab .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -8334,26 +8334,26 @@ <h2 class="page-header">Variables</h2>
 </div>
 </div>
 </div>
-<div role="tabpanel" class="tab-pane col-sm-12" id="nupuziuqffbottom-nupuziuqffcommon_values">
+<div role="tabpanel" class="tab-pane col-sm-12" id="ucgzqesrpnbottom-ucgzqesrpncommon_values">
 <div class="col-sm-12">
 <p class="h4"></p>
-<div id="vviteilwpk" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#vviteilwpk table {
+<div id="xcoxcwislw" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#xcoxcwislw table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#vviteilwpk thead, #vviteilwpk tbody, #vviteilwpk tfoot, #vviteilwpk tr, #vviteilwpk td, #vviteilwpk th {
+#xcoxcwislw thead, #xcoxcwislw tbody, #xcoxcwislw tfoot, #xcoxcwislw tr, #xcoxcwislw td, #xcoxcwislw th {
   border-style: none;
 }
 
-#vviteilwpk p {
+#xcoxcwislw p {
   margin: 0;
   padding: 0;
 }
 
-#vviteilwpk .gt_table {
+#xcoxcwislw .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -8379,12 +8379,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#vviteilwpk .gt_caption {
+#xcoxcwislw .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#vviteilwpk .gt_title {
+#xcoxcwislw .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -8396,7 +8396,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#vviteilwpk .gt_subtitle {
+#xcoxcwislw .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -8408,7 +8408,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#vviteilwpk .gt_heading {
+#xcoxcwislw .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -8420,13 +8420,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#vviteilwpk .gt_bottom_border {
+#xcoxcwislw .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#vviteilwpk .gt_col_headings {
+#xcoxcwislw .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -8441,7 +8441,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#vviteilwpk .gt_col_heading {
+#xcoxcwislw .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -8461,7 +8461,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#vviteilwpk .gt_column_spanner_outer {
+#xcoxcwislw .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -8473,15 +8473,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#vviteilwpk .gt_column_spanner_outer:first-child {
+#xcoxcwislw .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#vviteilwpk .gt_column_spanner_outer:last-child {
+#xcoxcwislw .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#vviteilwpk .gt_column_spanner {
+#xcoxcwislw .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -8493,11 +8493,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#vviteilwpk .gt_spanner_row {
+#xcoxcwislw .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#vviteilwpk .gt_group_heading {
+#xcoxcwislw .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -8523,7 +8523,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#vviteilwpk .gt_empty_group_heading {
+#xcoxcwislw .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -8538,15 +8538,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#vviteilwpk .gt_from_md > :first-child {
+#xcoxcwislw .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#vviteilwpk .gt_from_md > :last-child {
+#xcoxcwislw .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#vviteilwpk .gt_row {
+#xcoxcwislw .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -8565,7 +8565,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#vviteilwpk .gt_stub {
+#xcoxcwislw .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -8578,7 +8578,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#vviteilwpk .gt_stub_row_group {
+#xcoxcwislw .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -8592,15 +8592,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#vviteilwpk .gt_row_group_first td {
+#xcoxcwislw .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#vviteilwpk .gt_row_group_first th {
+#xcoxcwislw .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#vviteilwpk .gt_summary_row {
+#xcoxcwislw .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -8610,16 +8610,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#vviteilwpk .gt_first_summary_row {
+#xcoxcwislw .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#vviteilwpk .gt_first_summary_row.thick {
+#xcoxcwislw .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#vviteilwpk .gt_last_summary_row {
+#xcoxcwislw .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -8629,7 +8629,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#vviteilwpk .gt_grand_summary_row {
+#xcoxcwislw .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -8639,7 +8639,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#vviteilwpk .gt_first_grand_summary_row {
+#xcoxcwislw .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -8649,7 +8649,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#vviteilwpk .gt_last_grand_summary_row_top {
+#xcoxcwislw .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -8659,11 +8659,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#vviteilwpk .gt_striped {
+#xcoxcwislw .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#vviteilwpk .gt_table_body {
+#xcoxcwislw .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -8672,7 +8672,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#vviteilwpk .gt_footnotes {
+#xcoxcwislw .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -8686,7 +8686,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#vviteilwpk .gt_footnote {
+#xcoxcwislw .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -8695,7 +8695,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#vviteilwpk .gt_sourcenotes {
+#xcoxcwislw .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -8709,7 +8709,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#vviteilwpk .gt_sourcenote {
+#xcoxcwislw .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -8717,63 +8717,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#vviteilwpk .gt_left {
+#xcoxcwislw .gt_left {
   text-align: left;
 }
 
-#vviteilwpk .gt_center {
+#xcoxcwislw .gt_center {
   text-align: center;
 }
 
-#vviteilwpk .gt_right {
+#xcoxcwislw .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#vviteilwpk .gt_font_normal {
+#xcoxcwislw .gt_font_normal {
   font-weight: normal;
 }
 
-#vviteilwpk .gt_font_bold {
+#xcoxcwislw .gt_font_bold {
   font-weight: bold;
 }
 
-#vviteilwpk .gt_font_italic {
+#xcoxcwislw .gt_font_italic {
   font-style: italic;
 }
 
-#vviteilwpk .gt_super {
+#xcoxcwislw .gt_super {
   font-size: 65%;
 }
 
-#vviteilwpk .gt_footnote_marks {
+#xcoxcwislw .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#vviteilwpk .gt_asterisk {
+#xcoxcwislw .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#vviteilwpk .gt_indent_1 {
+#xcoxcwislw .gt_indent_1 {
   text-indent: 5px;
 }
 
-#vviteilwpk .gt_indent_2 {
+#xcoxcwislw .gt_indent_2 {
   text-indent: 10px;
 }
 
-#vviteilwpk .gt_indent_3 {
+#xcoxcwislw .gt_indent_3 {
   text-indent: 15px;
 }
 
-#vviteilwpk .gt_indent_4 {
+#xcoxcwislw .gt_indent_4 {
   text-indent: 20px;
 }
 
-#vviteilwpk .gt_indent_5 {
+#xcoxcwislw .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -8841,26 +8841,26 @@ <h2 class="page-header">Variables</h2>
 </div>
 </div>
 </div>
-<div role="tabpanel" class="tab-pane col-sm-12" id="nupuziuqffbottom-nupuziuqffmax_min_slices">
+<div role="tabpanel" class="tab-pane col-sm-12" id="ucgzqesrpnbottom-ucgzqesrpnmax_min_slices">
 <div class="col-sm-6">
 <p class="h4">Maximum Values</p>
-<div id="lrgofoollu" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#lrgofoollu table {
+<div id="mxmlrmgelu" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#mxmlrmgelu table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#lrgofoollu thead, #lrgofoollu tbody, #lrgofoollu tfoot, #lrgofoollu tr, #lrgofoollu td, #lrgofoollu th {
+#mxmlrmgelu thead, #mxmlrmgelu tbody, #mxmlrmgelu tfoot, #mxmlrmgelu tr, #mxmlrmgelu td, #mxmlrmgelu th {
   border-style: none;
 }
 
-#lrgofoollu p {
+#mxmlrmgelu p {
   margin: 0;
   padding: 0;
 }
 
-#lrgofoollu .gt_table {
+#mxmlrmgelu .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -8886,12 +8886,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#lrgofoollu .gt_caption {
+#mxmlrmgelu .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#lrgofoollu .gt_title {
+#mxmlrmgelu .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -8903,7 +8903,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#lrgofoollu .gt_subtitle {
+#mxmlrmgelu .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -8915,7 +8915,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#lrgofoollu .gt_heading {
+#mxmlrmgelu .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -8927,13 +8927,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#lrgofoollu .gt_bottom_border {
+#mxmlrmgelu .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#lrgofoollu .gt_col_headings {
+#mxmlrmgelu .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -8948,7 +8948,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#lrgofoollu .gt_col_heading {
+#mxmlrmgelu .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -8968,7 +8968,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#lrgofoollu .gt_column_spanner_outer {
+#mxmlrmgelu .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -8980,15 +8980,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#lrgofoollu .gt_column_spanner_outer:first-child {
+#mxmlrmgelu .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#lrgofoollu .gt_column_spanner_outer:last-child {
+#mxmlrmgelu .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#lrgofoollu .gt_column_spanner {
+#mxmlrmgelu .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -9000,11 +9000,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#lrgofoollu .gt_spanner_row {
+#mxmlrmgelu .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#lrgofoollu .gt_group_heading {
+#mxmlrmgelu .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -9030,7 +9030,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#lrgofoollu .gt_empty_group_heading {
+#mxmlrmgelu .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -9045,15 +9045,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#lrgofoollu .gt_from_md > :first-child {
+#mxmlrmgelu .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#lrgofoollu .gt_from_md > :last-child {
+#mxmlrmgelu .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#lrgofoollu .gt_row {
+#mxmlrmgelu .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -9072,7 +9072,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#lrgofoollu .gt_stub {
+#mxmlrmgelu .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -9085,7 +9085,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#lrgofoollu .gt_stub_row_group {
+#mxmlrmgelu .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -9099,15 +9099,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#lrgofoollu .gt_row_group_first td {
+#mxmlrmgelu .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#lrgofoollu .gt_row_group_first th {
+#mxmlrmgelu .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#lrgofoollu .gt_summary_row {
+#mxmlrmgelu .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -9117,16 +9117,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#lrgofoollu .gt_first_summary_row {
+#mxmlrmgelu .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#lrgofoollu .gt_first_summary_row.thick {
+#mxmlrmgelu .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#lrgofoollu .gt_last_summary_row {
+#mxmlrmgelu .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -9136,7 +9136,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#lrgofoollu .gt_grand_summary_row {
+#mxmlrmgelu .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -9146,7 +9146,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#lrgofoollu .gt_first_grand_summary_row {
+#mxmlrmgelu .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -9156,7 +9156,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#lrgofoollu .gt_last_grand_summary_row_top {
+#mxmlrmgelu .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -9166,11 +9166,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#lrgofoollu .gt_striped {
+#mxmlrmgelu .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#lrgofoollu .gt_table_body {
+#mxmlrmgelu .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -9179,7 +9179,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#lrgofoollu .gt_footnotes {
+#mxmlrmgelu .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -9193,7 +9193,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#lrgofoollu .gt_footnote {
+#mxmlrmgelu .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -9202,7 +9202,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#lrgofoollu .gt_sourcenotes {
+#mxmlrmgelu .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -9216,7 +9216,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#lrgofoollu .gt_sourcenote {
+#mxmlrmgelu .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -9224,63 +9224,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#lrgofoollu .gt_left {
+#mxmlrmgelu .gt_left {
   text-align: left;
 }
 
-#lrgofoollu .gt_center {
+#mxmlrmgelu .gt_center {
   text-align: center;
 }
 
-#lrgofoollu .gt_right {
+#mxmlrmgelu .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#lrgofoollu .gt_font_normal {
+#mxmlrmgelu .gt_font_normal {
   font-weight: normal;
 }
 
-#lrgofoollu .gt_font_bold {
+#mxmlrmgelu .gt_font_bold {
   font-weight: bold;
 }
 
-#lrgofoollu .gt_font_italic {
+#mxmlrmgelu .gt_font_italic {
   font-style: italic;
 }
 
-#lrgofoollu .gt_super {
+#mxmlrmgelu .gt_super {
   font-size: 65%;
 }
 
-#lrgofoollu .gt_footnote_marks {
+#mxmlrmgelu .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#lrgofoollu .gt_asterisk {
+#mxmlrmgelu .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#lrgofoollu .gt_indent_1 {
+#mxmlrmgelu .gt_indent_1 {
   text-indent: 5px;
 }
 
-#lrgofoollu .gt_indent_2 {
+#mxmlrmgelu .gt_indent_2 {
   text-indent: 10px;
 }
 
-#lrgofoollu .gt_indent_3 {
+#mxmlrmgelu .gt_indent_3 {
   text-indent: 15px;
 }
 
-#lrgofoollu .gt_indent_4 {
+#mxmlrmgelu .gt_indent_4 {
   text-indent: 20px;
 }
 
-#lrgofoollu .gt_indent_5 {
+#mxmlrmgelu .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -9347,23 +9347,23 @@ <h2 class="page-header">Variables</h2>
 </div>
 <div class="col-sm-6">
 <p class="h4">Minimum Values</p>
-<div id="fbgywhhsdj" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#fbgywhhsdj table {
+<div id="pffzdhoqhn" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#pffzdhoqhn table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#fbgywhhsdj thead, #fbgywhhsdj tbody, #fbgywhhsdj tfoot, #fbgywhhsdj tr, #fbgywhhsdj td, #fbgywhhsdj th {
+#pffzdhoqhn thead, #pffzdhoqhn tbody, #pffzdhoqhn tfoot, #pffzdhoqhn tr, #pffzdhoqhn td, #pffzdhoqhn th {
   border-style: none;
 }
 
-#fbgywhhsdj p {
+#pffzdhoqhn p {
   margin: 0;
   padding: 0;
 }
 
-#fbgywhhsdj .gt_table {
+#pffzdhoqhn .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -9389,12 +9389,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#fbgywhhsdj .gt_caption {
+#pffzdhoqhn .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#fbgywhhsdj .gt_title {
+#pffzdhoqhn .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -9406,7 +9406,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#fbgywhhsdj .gt_subtitle {
+#pffzdhoqhn .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -9418,7 +9418,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#fbgywhhsdj .gt_heading {
+#pffzdhoqhn .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -9430,13 +9430,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#fbgywhhsdj .gt_bottom_border {
+#pffzdhoqhn .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#fbgywhhsdj .gt_col_headings {
+#pffzdhoqhn .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -9451,7 +9451,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#fbgywhhsdj .gt_col_heading {
+#pffzdhoqhn .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -9471,7 +9471,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#fbgywhhsdj .gt_column_spanner_outer {
+#pffzdhoqhn .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -9483,15 +9483,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#fbgywhhsdj .gt_column_spanner_outer:first-child {
+#pffzdhoqhn .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#fbgywhhsdj .gt_column_spanner_outer:last-child {
+#pffzdhoqhn .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#fbgywhhsdj .gt_column_spanner {
+#pffzdhoqhn .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -9503,11 +9503,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#fbgywhhsdj .gt_spanner_row {
+#pffzdhoqhn .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#fbgywhhsdj .gt_group_heading {
+#pffzdhoqhn .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -9533,7 +9533,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#fbgywhhsdj .gt_empty_group_heading {
+#pffzdhoqhn .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -9548,15 +9548,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#fbgywhhsdj .gt_from_md > :first-child {
+#pffzdhoqhn .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#fbgywhhsdj .gt_from_md > :last-child {
+#pffzdhoqhn .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#fbgywhhsdj .gt_row {
+#pffzdhoqhn .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -9575,7 +9575,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#fbgywhhsdj .gt_stub {
+#pffzdhoqhn .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -9588,7 +9588,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#fbgywhhsdj .gt_stub_row_group {
+#pffzdhoqhn .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -9602,15 +9602,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#fbgywhhsdj .gt_row_group_first td {
+#pffzdhoqhn .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#fbgywhhsdj .gt_row_group_first th {
+#pffzdhoqhn .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#fbgywhhsdj .gt_summary_row {
+#pffzdhoqhn .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -9620,16 +9620,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#fbgywhhsdj .gt_first_summary_row {
+#pffzdhoqhn .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#fbgywhhsdj .gt_first_summary_row.thick {
+#pffzdhoqhn .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#fbgywhhsdj .gt_last_summary_row {
+#pffzdhoqhn .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -9639,7 +9639,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#fbgywhhsdj .gt_grand_summary_row {
+#pffzdhoqhn .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -9649,7 +9649,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#fbgywhhsdj .gt_first_grand_summary_row {
+#pffzdhoqhn .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -9659,7 +9659,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#fbgywhhsdj .gt_last_grand_summary_row_top {
+#pffzdhoqhn .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -9669,11 +9669,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#fbgywhhsdj .gt_striped {
+#pffzdhoqhn .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#fbgywhhsdj .gt_table_body {
+#pffzdhoqhn .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -9682,7 +9682,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#fbgywhhsdj .gt_footnotes {
+#pffzdhoqhn .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -9696,7 +9696,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#fbgywhhsdj .gt_footnote {
+#pffzdhoqhn .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -9705,7 +9705,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#fbgywhhsdj .gt_sourcenotes {
+#pffzdhoqhn .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -9719,7 +9719,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#fbgywhhsdj .gt_sourcenote {
+#pffzdhoqhn .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -9727,63 +9727,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#fbgywhhsdj .gt_left {
+#pffzdhoqhn .gt_left {
   text-align: left;
 }
 
-#fbgywhhsdj .gt_center {
+#pffzdhoqhn .gt_center {
   text-align: center;
 }
 
-#fbgywhhsdj .gt_right {
+#pffzdhoqhn .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#fbgywhhsdj .gt_font_normal {
+#pffzdhoqhn .gt_font_normal {
   font-weight: normal;
 }
 
-#fbgywhhsdj .gt_font_bold {
+#pffzdhoqhn .gt_font_bold {
   font-weight: bold;
 }
 
-#fbgywhhsdj .gt_font_italic {
+#pffzdhoqhn .gt_font_italic {
   font-style: italic;
 }
 
-#fbgywhhsdj .gt_super {
+#pffzdhoqhn .gt_super {
   font-size: 65%;
 }
 
-#fbgywhhsdj .gt_footnote_marks {
+#pffzdhoqhn .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#fbgywhhsdj .gt_asterisk {
+#pffzdhoqhn .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#fbgywhhsdj .gt_indent_1 {
+#pffzdhoqhn .gt_indent_1 {
   text-indent: 5px;
 }
 
-#fbgywhhsdj .gt_indent_2 {
+#pffzdhoqhn .gt_indent_2 {
   text-indent: 10px;
 }
 
-#fbgywhhsdj .gt_indent_3 {
+#pffzdhoqhn .gt_indent_3 {
   text-indent: 15px;
 }
 
-#fbgywhhsdj .gt_indent_4 {
+#pffzdhoqhn .gt_indent_4 {
   text-indent: 20px;
 }
 
-#fbgywhhsdj .gt_indent_5 {
+#pffzdhoqhn .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -9856,11 +9856,11 @@ <h2 class="page-header">Variables</h2>
 </a>
 </div>
 <div class="row spacing">
-<a class="anchor-pos anchor-pos-variable" id="pp_var_enmkrequxj">
+<a class="anchor-pos anchor-pos-variable" id="pp_var_qrrbhduoti">
 <div class="variable">
 <div class="col-sm-3">
 <p class="h4" style="margin-bottom:0;margin-top:-2px;" title="Height">
-<a href="#pp_var_enmkrequxj">
+<a href="#pp_var_qrrbhduoti">
 Height
 <br><small style="margin-top:0;">
 <code>character</code>
@@ -9869,23 +9869,23 @@ <h2 class="page-header">Variables</h2>
 </p>
 </div>
 <div class="col-sm-5">
-<div id="gqlsmcmtnz" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#gqlsmcmtnz table {
+<div id="mvzftyswlx" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#mvzftyswlx table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#gqlsmcmtnz thead, #gqlsmcmtnz tbody, #gqlsmcmtnz tfoot, #gqlsmcmtnz tr, #gqlsmcmtnz td, #gqlsmcmtnz th {
+#mvzftyswlx thead, #mvzftyswlx tbody, #mvzftyswlx tfoot, #mvzftyswlx tr, #mvzftyswlx td, #mvzftyswlx th {
   border-style: none;
 }
 
-#gqlsmcmtnz p {
+#mvzftyswlx p {
   margin: 0;
   padding: 0;
 }
 
-#gqlsmcmtnz .gt_table {
+#mvzftyswlx .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -9911,12 +9911,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#gqlsmcmtnz .gt_caption {
+#mvzftyswlx .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#gqlsmcmtnz .gt_title {
+#mvzftyswlx .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -9928,7 +9928,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#gqlsmcmtnz .gt_subtitle {
+#mvzftyswlx .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -9940,7 +9940,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#gqlsmcmtnz .gt_heading {
+#mvzftyswlx .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -9952,13 +9952,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#gqlsmcmtnz .gt_bottom_border {
+#mvzftyswlx .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#gqlsmcmtnz .gt_col_headings {
+#mvzftyswlx .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -9973,7 +9973,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#gqlsmcmtnz .gt_col_heading {
+#mvzftyswlx .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -9993,7 +9993,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#gqlsmcmtnz .gt_column_spanner_outer {
+#mvzftyswlx .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -10005,15 +10005,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#gqlsmcmtnz .gt_column_spanner_outer:first-child {
+#mvzftyswlx .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#gqlsmcmtnz .gt_column_spanner_outer:last-child {
+#mvzftyswlx .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#gqlsmcmtnz .gt_column_spanner {
+#mvzftyswlx .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -10025,11 +10025,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#gqlsmcmtnz .gt_spanner_row {
+#mvzftyswlx .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#gqlsmcmtnz .gt_group_heading {
+#mvzftyswlx .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -10055,7 +10055,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#gqlsmcmtnz .gt_empty_group_heading {
+#mvzftyswlx .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -10070,15 +10070,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#gqlsmcmtnz .gt_from_md > :first-child {
+#mvzftyswlx .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#gqlsmcmtnz .gt_from_md > :last-child {
+#mvzftyswlx .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#gqlsmcmtnz .gt_row {
+#mvzftyswlx .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -10097,7 +10097,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#gqlsmcmtnz .gt_stub {
+#mvzftyswlx .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -10110,7 +10110,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#gqlsmcmtnz .gt_stub_row_group {
+#mvzftyswlx .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -10124,15 +10124,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#gqlsmcmtnz .gt_row_group_first td {
+#mvzftyswlx .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#gqlsmcmtnz .gt_row_group_first th {
+#mvzftyswlx .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#gqlsmcmtnz .gt_summary_row {
+#mvzftyswlx .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -10142,16 +10142,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#gqlsmcmtnz .gt_first_summary_row {
+#mvzftyswlx .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#gqlsmcmtnz .gt_first_summary_row.thick {
+#mvzftyswlx .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#gqlsmcmtnz .gt_last_summary_row {
+#mvzftyswlx .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -10161,7 +10161,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#gqlsmcmtnz .gt_grand_summary_row {
+#mvzftyswlx .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -10171,7 +10171,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#gqlsmcmtnz .gt_first_grand_summary_row {
+#mvzftyswlx .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -10181,7 +10181,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#gqlsmcmtnz .gt_last_grand_summary_row_top {
+#mvzftyswlx .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -10191,11 +10191,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#gqlsmcmtnz .gt_striped {
+#mvzftyswlx .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#gqlsmcmtnz .gt_table_body {
+#mvzftyswlx .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -10204,7 +10204,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#gqlsmcmtnz .gt_footnotes {
+#mvzftyswlx .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -10218,7 +10218,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#gqlsmcmtnz .gt_footnote {
+#mvzftyswlx .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -10227,7 +10227,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#gqlsmcmtnz .gt_sourcenotes {
+#mvzftyswlx .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -10241,7 +10241,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#gqlsmcmtnz .gt_sourcenote {
+#mvzftyswlx .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -10249,63 +10249,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#gqlsmcmtnz .gt_left {
+#mvzftyswlx .gt_left {
   text-align: left;
 }
 
-#gqlsmcmtnz .gt_center {
+#mvzftyswlx .gt_center {
   text-align: center;
 }
 
-#gqlsmcmtnz .gt_right {
+#mvzftyswlx .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#gqlsmcmtnz .gt_font_normal {
+#mvzftyswlx .gt_font_normal {
   font-weight: normal;
 }
 
-#gqlsmcmtnz .gt_font_bold {
+#mvzftyswlx .gt_font_bold {
   font-weight: bold;
 }
 
-#gqlsmcmtnz .gt_font_italic {
+#mvzftyswlx .gt_font_italic {
   font-style: italic;
 }
 
-#gqlsmcmtnz .gt_super {
+#mvzftyswlx .gt_super {
   font-size: 65%;
 }
 
-#gqlsmcmtnz .gt_footnote_marks {
+#mvzftyswlx .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#gqlsmcmtnz .gt_asterisk {
+#mvzftyswlx .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#gqlsmcmtnz .gt_indent_1 {
+#mvzftyswlx .gt_indent_1 {
   text-indent: 5px;
 }
 
-#gqlsmcmtnz .gt_indent_2 {
+#mvzftyswlx .gt_indent_2 {
   text-indent: 10px;
 }
 
-#gqlsmcmtnz .gt_indent_3 {
+#mvzftyswlx .gt_indent_3 {
   text-indent: 15px;
 }
 
-#gqlsmcmtnz .gt_indent_4 {
+#mvzftyswlx .gt_indent_4 {
   text-indent: 20px;
 }
 
-#gqlsmcmtnz .gt_indent_5 {
+#mvzftyswlx .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -10333,39 +10333,39 @@ <h2 class="page-header">Variables</h2>
 </div>
 <div class="col-sm-4"> </div>
 <div class="col-sm-12 text-left">
-<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-enmkrequxj, #minifreqtableenmkrequxj" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
+<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-qrrbhduoti, #minifreqtableqrrbhduoti" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
 </div>
-<div id="bottom-enmkrequxj" class="collapse" aria-expanded="false" style="height: 5px;">
+<div id="bottom-qrrbhduoti" class="collapse" aria-expanded="false" style="height: 5px;">
 <div class="row spacing">
 <ul class="nav nav-tabs" role="tablist">
 <li role="presentation" class="active" style="padding-top: 5px;">
-<a href="#enmkrequxjbottom-enmkrequxjcommon_values" aria-controls="enmkrequxjbottom-enmkrequxjcommon_values" role="tab" data-toggle="tab">Common Values</a>
+<a href="#qrrbhduotibottom-qrrbhduoticommon_values" aria-controls="qrrbhduotibottom-qrrbhduoticommon_values" role="tab" data-toggle="tab">Common Values</a>
 </li>
 <li role="presentation" class="" style="padding-top: 5px;">
-<a href="#enmkrequxjbottom-enmkrequxjlengths" aria-controls="enmkrequxjbottom-enmkrequxjlengths" role="tab" data-toggle="tab">String Lengths</a>
+<a href="#qrrbhduotibottom-qrrbhduotilengths" aria-controls="qrrbhduotibottom-qrrbhduotilengths" role="tab" data-toggle="tab">String Lengths</a>
 </li>
 </ul>
 <div class="tab-content">
-<div role="tabpanel" class="tab-pane col-sm-12 active" id="enmkrequxjbottom-enmkrequxjcommon_values">
+<div role="tabpanel" class="tab-pane col-sm-12 active" id="qrrbhduotibottom-qrrbhduoticommon_values">
 <div class="col-sm-12">
 <p class="h4"></p>
-<div id="dqqwbouflc" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#dqqwbouflc table {
+<div id="ajrleisdgd" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#ajrleisdgd table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#dqqwbouflc thead, #dqqwbouflc tbody, #dqqwbouflc tfoot, #dqqwbouflc tr, #dqqwbouflc td, #dqqwbouflc th {
+#ajrleisdgd thead, #ajrleisdgd tbody, #ajrleisdgd tfoot, #ajrleisdgd tr, #ajrleisdgd td, #ajrleisdgd th {
   border-style: none;
 }
 
-#dqqwbouflc p {
+#ajrleisdgd p {
   margin: 0;
   padding: 0;
 }
 
-#dqqwbouflc .gt_table {
+#ajrleisdgd .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -10391,12 +10391,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#dqqwbouflc .gt_caption {
+#ajrleisdgd .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#dqqwbouflc .gt_title {
+#ajrleisdgd .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -10408,7 +10408,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#dqqwbouflc .gt_subtitle {
+#ajrleisdgd .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -10420,7 +10420,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#dqqwbouflc .gt_heading {
+#ajrleisdgd .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -10432,13 +10432,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#dqqwbouflc .gt_bottom_border {
+#ajrleisdgd .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#dqqwbouflc .gt_col_headings {
+#ajrleisdgd .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -10453,7 +10453,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#dqqwbouflc .gt_col_heading {
+#ajrleisdgd .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -10473,7 +10473,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#dqqwbouflc .gt_column_spanner_outer {
+#ajrleisdgd .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -10485,15 +10485,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#dqqwbouflc .gt_column_spanner_outer:first-child {
+#ajrleisdgd .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#dqqwbouflc .gt_column_spanner_outer:last-child {
+#ajrleisdgd .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#dqqwbouflc .gt_column_spanner {
+#ajrleisdgd .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -10505,11 +10505,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#dqqwbouflc .gt_spanner_row {
+#ajrleisdgd .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#dqqwbouflc .gt_group_heading {
+#ajrleisdgd .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -10535,7 +10535,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#dqqwbouflc .gt_empty_group_heading {
+#ajrleisdgd .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -10550,15 +10550,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#dqqwbouflc .gt_from_md > :first-child {
+#ajrleisdgd .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#dqqwbouflc .gt_from_md > :last-child {
+#ajrleisdgd .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#dqqwbouflc .gt_row {
+#ajrleisdgd .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -10577,7 +10577,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#dqqwbouflc .gt_stub {
+#ajrleisdgd .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -10590,7 +10590,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#dqqwbouflc .gt_stub_row_group {
+#ajrleisdgd .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -10604,15 +10604,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#dqqwbouflc .gt_row_group_first td {
+#ajrleisdgd .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#dqqwbouflc .gt_row_group_first th {
+#ajrleisdgd .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#dqqwbouflc .gt_summary_row {
+#ajrleisdgd .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -10622,16 +10622,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#dqqwbouflc .gt_first_summary_row {
+#ajrleisdgd .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#dqqwbouflc .gt_first_summary_row.thick {
+#ajrleisdgd .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#dqqwbouflc .gt_last_summary_row {
+#ajrleisdgd .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -10641,7 +10641,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#dqqwbouflc .gt_grand_summary_row {
+#ajrleisdgd .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -10651,7 +10651,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#dqqwbouflc .gt_first_grand_summary_row {
+#ajrleisdgd .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -10661,7 +10661,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#dqqwbouflc .gt_last_grand_summary_row_top {
+#ajrleisdgd .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -10671,11 +10671,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#dqqwbouflc .gt_striped {
+#ajrleisdgd .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#dqqwbouflc .gt_table_body {
+#ajrleisdgd .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -10684,7 +10684,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#dqqwbouflc .gt_footnotes {
+#ajrleisdgd .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -10698,7 +10698,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#dqqwbouflc .gt_footnote {
+#ajrleisdgd .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -10707,7 +10707,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#dqqwbouflc .gt_sourcenotes {
+#ajrleisdgd .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -10721,7 +10721,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#dqqwbouflc .gt_sourcenote {
+#ajrleisdgd .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -10729,63 +10729,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#dqqwbouflc .gt_left {
+#ajrleisdgd .gt_left {
   text-align: left;
 }
 
-#dqqwbouflc .gt_center {
+#ajrleisdgd .gt_center {
   text-align: center;
 }
 
-#dqqwbouflc .gt_right {
+#ajrleisdgd .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#dqqwbouflc .gt_font_normal {
+#ajrleisdgd .gt_font_normal {
   font-weight: normal;
 }
 
-#dqqwbouflc .gt_font_bold {
+#ajrleisdgd .gt_font_bold {
   font-weight: bold;
 }
 
-#dqqwbouflc .gt_font_italic {
+#ajrleisdgd .gt_font_italic {
   font-style: italic;
 }
 
-#dqqwbouflc .gt_super {
+#ajrleisdgd .gt_super {
   font-size: 65%;
 }
 
-#dqqwbouflc .gt_footnote_marks {
+#ajrleisdgd .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#dqqwbouflc .gt_asterisk {
+#ajrleisdgd .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#dqqwbouflc .gt_indent_1 {
+#ajrleisdgd .gt_indent_1 {
   text-indent: 5px;
 }
 
-#dqqwbouflc .gt_indent_2 {
+#ajrleisdgd .gt_indent_2 {
   text-indent: 10px;
 }
 
-#dqqwbouflc .gt_indent_3 {
+#ajrleisdgd .gt_indent_3 {
   text-indent: 15px;
 }
 
-#dqqwbouflc .gt_indent_4 {
+#ajrleisdgd .gt_indent_4 {
   text-indent: 20px;
 }
 
-#dqqwbouflc .gt_indent_5 {
+#ajrleisdgd .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -10828,26 +10828,26 @@ <h2 class="page-header">Variables</h2>
 </div>
 </div>
 </div>
-<div role="tabpanel" class="tab-pane col-sm-12" id="enmkrequxjbottom-enmkrequxjlengths">
+<div role="tabpanel" class="tab-pane col-sm-12" id="qrrbhduotibottom-qrrbhduotilengths">
 <div class="col-sm-4">
 <p class="h4">String Lengths</p>
-<div id="setsjvgrgg" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#setsjvgrgg table {
+<div id="dsfrwjweuk" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#dsfrwjweuk table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#setsjvgrgg thead, #setsjvgrgg tbody, #setsjvgrgg tfoot, #setsjvgrgg tr, #setsjvgrgg td, #setsjvgrgg th {
+#dsfrwjweuk thead, #dsfrwjweuk tbody, #dsfrwjweuk tfoot, #dsfrwjweuk tr, #dsfrwjweuk td, #dsfrwjweuk th {
   border-style: none;
 }
 
-#setsjvgrgg p {
+#dsfrwjweuk p {
   margin: 0;
   padding: 0;
 }
 
-#setsjvgrgg .gt_table {
+#dsfrwjweuk .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -10873,12 +10873,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#setsjvgrgg .gt_caption {
+#dsfrwjweuk .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#setsjvgrgg .gt_title {
+#dsfrwjweuk .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -10890,7 +10890,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#setsjvgrgg .gt_subtitle {
+#dsfrwjweuk .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -10902,7 +10902,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#setsjvgrgg .gt_heading {
+#dsfrwjweuk .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -10914,13 +10914,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#setsjvgrgg .gt_bottom_border {
+#dsfrwjweuk .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#setsjvgrgg .gt_col_headings {
+#dsfrwjweuk .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -10935,7 +10935,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#setsjvgrgg .gt_col_heading {
+#dsfrwjweuk .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -10955,7 +10955,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#setsjvgrgg .gt_column_spanner_outer {
+#dsfrwjweuk .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -10967,15 +10967,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#setsjvgrgg .gt_column_spanner_outer:first-child {
+#dsfrwjweuk .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#setsjvgrgg .gt_column_spanner_outer:last-child {
+#dsfrwjweuk .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#setsjvgrgg .gt_column_spanner {
+#dsfrwjweuk .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -10987,11 +10987,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#setsjvgrgg .gt_spanner_row {
+#dsfrwjweuk .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#setsjvgrgg .gt_group_heading {
+#dsfrwjweuk .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -11017,7 +11017,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#setsjvgrgg .gt_empty_group_heading {
+#dsfrwjweuk .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -11032,15 +11032,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#setsjvgrgg .gt_from_md > :first-child {
+#dsfrwjweuk .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#setsjvgrgg .gt_from_md > :last-child {
+#dsfrwjweuk .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#setsjvgrgg .gt_row {
+#dsfrwjweuk .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -11059,7 +11059,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#setsjvgrgg .gt_stub {
+#dsfrwjweuk .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -11072,7 +11072,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#setsjvgrgg .gt_stub_row_group {
+#dsfrwjweuk .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -11086,15 +11086,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#setsjvgrgg .gt_row_group_first td {
+#dsfrwjweuk .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#setsjvgrgg .gt_row_group_first th {
+#dsfrwjweuk .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#setsjvgrgg .gt_summary_row {
+#dsfrwjweuk .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -11104,16 +11104,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#setsjvgrgg .gt_first_summary_row {
+#dsfrwjweuk .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#setsjvgrgg .gt_first_summary_row.thick {
+#dsfrwjweuk .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#setsjvgrgg .gt_last_summary_row {
+#dsfrwjweuk .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -11123,7 +11123,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#setsjvgrgg .gt_grand_summary_row {
+#dsfrwjweuk .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -11133,7 +11133,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#setsjvgrgg .gt_first_grand_summary_row {
+#dsfrwjweuk .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -11143,7 +11143,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#setsjvgrgg .gt_last_grand_summary_row_top {
+#dsfrwjweuk .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -11153,11 +11153,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#setsjvgrgg .gt_striped {
+#dsfrwjweuk .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#setsjvgrgg .gt_table_body {
+#dsfrwjweuk .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -11166,7 +11166,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#setsjvgrgg .gt_footnotes {
+#dsfrwjweuk .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -11180,7 +11180,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#setsjvgrgg .gt_footnote {
+#dsfrwjweuk .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -11189,7 +11189,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#setsjvgrgg .gt_sourcenotes {
+#dsfrwjweuk .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -11203,7 +11203,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#setsjvgrgg .gt_sourcenote {
+#dsfrwjweuk .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -11211,63 +11211,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#setsjvgrgg .gt_left {
+#dsfrwjweuk .gt_left {
   text-align: left;
 }
 
-#setsjvgrgg .gt_center {
+#dsfrwjweuk .gt_center {
   text-align: center;
 }
 
-#setsjvgrgg .gt_right {
+#dsfrwjweuk .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#setsjvgrgg .gt_font_normal {
+#dsfrwjweuk .gt_font_normal {
   font-weight: normal;
 }
 
-#setsjvgrgg .gt_font_bold {
+#dsfrwjweuk .gt_font_bold {
   font-weight: bold;
 }
 
-#setsjvgrgg .gt_font_italic {
+#dsfrwjweuk .gt_font_italic {
   font-style: italic;
 }
 
-#setsjvgrgg .gt_super {
+#dsfrwjweuk .gt_super {
   font-size: 65%;
 }
 
-#setsjvgrgg .gt_footnote_marks {
+#dsfrwjweuk .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#setsjvgrgg .gt_asterisk {
+#dsfrwjweuk .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#setsjvgrgg .gt_indent_1 {
+#dsfrwjweuk .gt_indent_1 {
   text-indent: 5px;
 }
 
-#setsjvgrgg .gt_indent_2 {
+#dsfrwjweuk .gt_indent_2 {
   text-indent: 10px;
 }
 
-#setsjvgrgg .gt_indent_3 {
+#dsfrwjweuk .gt_indent_3 {
   text-indent: 15px;
 }
 
-#setsjvgrgg .gt_indent_4 {
+#dsfrwjweuk .gt_indent_4 {
   text-indent: 20px;
 }
 
-#setsjvgrgg .gt_indent_5 {
+#dsfrwjweuk .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -11299,11 +11299,11 @@ <h2 class="page-header">Variables</h2>
 </a>
 </div>
 <div class="row spacing">
-<a class="anchor-pos anchor-pos-variable" id="pp_var_serdiglnbp">
+<a class="anchor-pos anchor-pos-variable" id="pp_var_fmugxeszza">
 <div class="variable">
 <div class="col-sm-3">
 <p class="h4" style="margin-bottom:0;margin-top:-2px;" title="Diameter">
-<a href="#pp_var_serdiglnbp">
+<a href="#pp_var_fmugxeszza">
 Diameter
 <br><small style="margin-top:0;">
 <code>character</code>
@@ -11312,23 +11312,23 @@ <h2 class="page-header">Variables</h2>
 </p>
 </div>
 <div class="col-sm-5">
-<div id="eyafdklxku" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#eyafdklxku table {
+<div id="oyceikibip" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#oyceikibip table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#eyafdklxku thead, #eyafdklxku tbody, #eyafdklxku tfoot, #eyafdklxku tr, #eyafdklxku td, #eyafdklxku th {
+#oyceikibip thead, #oyceikibip tbody, #oyceikibip tfoot, #oyceikibip tr, #oyceikibip td, #oyceikibip th {
   border-style: none;
 }
 
-#eyafdklxku p {
+#oyceikibip p {
   margin: 0;
   padding: 0;
 }
 
-#eyafdklxku .gt_table {
+#oyceikibip .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -11354,12 +11354,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#eyafdklxku .gt_caption {
+#oyceikibip .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#eyafdklxku .gt_title {
+#oyceikibip .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -11371,7 +11371,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#eyafdklxku .gt_subtitle {
+#oyceikibip .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -11383,7 +11383,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#eyafdklxku .gt_heading {
+#oyceikibip .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -11395,13 +11395,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#eyafdklxku .gt_bottom_border {
+#oyceikibip .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#eyafdklxku .gt_col_headings {
+#oyceikibip .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -11416,7 +11416,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#eyafdklxku .gt_col_heading {
+#oyceikibip .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -11436,7 +11436,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#eyafdklxku .gt_column_spanner_outer {
+#oyceikibip .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -11448,15 +11448,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#eyafdklxku .gt_column_spanner_outer:first-child {
+#oyceikibip .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#eyafdklxku .gt_column_spanner_outer:last-child {
+#oyceikibip .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#eyafdklxku .gt_column_spanner {
+#oyceikibip .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -11468,11 +11468,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#eyafdklxku .gt_spanner_row {
+#oyceikibip .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#eyafdklxku .gt_group_heading {
+#oyceikibip .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -11498,7 +11498,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#eyafdklxku .gt_empty_group_heading {
+#oyceikibip .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -11513,15 +11513,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#eyafdklxku .gt_from_md > :first-child {
+#oyceikibip .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#eyafdklxku .gt_from_md > :last-child {
+#oyceikibip .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#eyafdklxku .gt_row {
+#oyceikibip .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -11540,7 +11540,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#eyafdklxku .gt_stub {
+#oyceikibip .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -11553,7 +11553,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#eyafdklxku .gt_stub_row_group {
+#oyceikibip .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -11567,15 +11567,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#eyafdklxku .gt_row_group_first td {
+#oyceikibip .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#eyafdklxku .gt_row_group_first th {
+#oyceikibip .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#eyafdklxku .gt_summary_row {
+#oyceikibip .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -11585,16 +11585,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#eyafdklxku .gt_first_summary_row {
+#oyceikibip .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#eyafdklxku .gt_first_summary_row.thick {
+#oyceikibip .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#eyafdklxku .gt_last_summary_row {
+#oyceikibip .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -11604,7 +11604,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#eyafdklxku .gt_grand_summary_row {
+#oyceikibip .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -11614,7 +11614,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#eyafdklxku .gt_first_grand_summary_row {
+#oyceikibip .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -11624,7 +11624,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#eyafdklxku .gt_last_grand_summary_row_top {
+#oyceikibip .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -11634,11 +11634,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#eyafdklxku .gt_striped {
+#oyceikibip .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#eyafdklxku .gt_table_body {
+#oyceikibip .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -11647,7 +11647,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#eyafdklxku .gt_footnotes {
+#oyceikibip .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -11661,7 +11661,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#eyafdklxku .gt_footnote {
+#oyceikibip .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -11670,7 +11670,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#eyafdklxku .gt_sourcenotes {
+#oyceikibip .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -11684,7 +11684,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#eyafdklxku .gt_sourcenote {
+#oyceikibip .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -11692,63 +11692,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#eyafdklxku .gt_left {
+#oyceikibip .gt_left {
   text-align: left;
 }
 
-#eyafdklxku .gt_center {
+#oyceikibip .gt_center {
   text-align: center;
 }
 
-#eyafdklxku .gt_right {
+#oyceikibip .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#eyafdklxku .gt_font_normal {
+#oyceikibip .gt_font_normal {
   font-weight: normal;
 }
 
-#eyafdklxku .gt_font_bold {
+#oyceikibip .gt_font_bold {
   font-weight: bold;
 }
 
-#eyafdklxku .gt_font_italic {
+#oyceikibip .gt_font_italic {
   font-style: italic;
 }
 
-#eyafdklxku .gt_super {
+#oyceikibip .gt_super {
   font-size: 65%;
 }
 
-#eyafdklxku .gt_footnote_marks {
+#oyceikibip .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#eyafdklxku .gt_asterisk {
+#oyceikibip .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#eyafdklxku .gt_indent_1 {
+#oyceikibip .gt_indent_1 {
   text-indent: 5px;
 }
 
-#eyafdklxku .gt_indent_2 {
+#oyceikibip .gt_indent_2 {
   text-indent: 10px;
 }
 
-#eyafdklxku .gt_indent_3 {
+#oyceikibip .gt_indent_3 {
   text-indent: 15px;
 }
 
-#eyafdklxku .gt_indent_4 {
+#oyceikibip .gt_indent_4 {
   text-indent: 20px;
 }
 
-#eyafdklxku .gt_indent_5 {
+#oyceikibip .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -11776,39 +11776,39 @@ <h2 class="page-header">Variables</h2>
 </div>
 <div class="col-sm-4"> </div>
 <div class="col-sm-12 text-left">
-<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-serdiglnbp, #minifreqtableserdiglnbp" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
+<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-fmugxeszza, #minifreqtablefmugxeszza" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
 </div>
-<div id="bottom-serdiglnbp" class="collapse" aria-expanded="false" style="height: 5px;">
+<div id="bottom-fmugxeszza" class="collapse" aria-expanded="false" style="height: 5px;">
 <div class="row spacing">
 <ul class="nav nav-tabs" role="tablist">
 <li role="presentation" class="active" style="padding-top: 5px;">
-<a href="#serdiglnbpbottom-serdiglnbpcommon_values" aria-controls="serdiglnbpbottom-serdiglnbpcommon_values" role="tab" data-toggle="tab">Common Values</a>
+<a href="#fmugxeszzabottom-fmugxeszzacommon_values" aria-controls="fmugxeszzabottom-fmugxeszzacommon_values" role="tab" data-toggle="tab">Common Values</a>
 </li>
 <li role="presentation" class="" style="padding-top: 5px;">
-<a href="#serdiglnbpbottom-serdiglnbplengths" aria-controls="serdiglnbpbottom-serdiglnbplengths" role="tab" data-toggle="tab">String Lengths</a>
+<a href="#fmugxeszzabottom-fmugxeszzalengths" aria-controls="fmugxeszzabottom-fmugxeszzalengths" role="tab" data-toggle="tab">String Lengths</a>
 </li>
 </ul>
 <div class="tab-content">
-<div role="tabpanel" class="tab-pane col-sm-12 active" id="serdiglnbpbottom-serdiglnbpcommon_values">
+<div role="tabpanel" class="tab-pane col-sm-12 active" id="fmugxeszzabottom-fmugxeszzacommon_values">
 <div class="col-sm-12">
 <p class="h4"></p>
-<div id="lsudnazrki" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#lsudnazrki table {
+<div id="xgfderbcbj" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#xgfderbcbj table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#lsudnazrki thead, #lsudnazrki tbody, #lsudnazrki tfoot, #lsudnazrki tr, #lsudnazrki td, #lsudnazrki th {
+#xgfderbcbj thead, #xgfderbcbj tbody, #xgfderbcbj tfoot, #xgfderbcbj tr, #xgfderbcbj td, #xgfderbcbj th {
   border-style: none;
 }
 
-#lsudnazrki p {
+#xgfderbcbj p {
   margin: 0;
   padding: 0;
 }
 
-#lsudnazrki .gt_table {
+#xgfderbcbj .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -11834,12 +11834,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#lsudnazrki .gt_caption {
+#xgfderbcbj .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#lsudnazrki .gt_title {
+#xgfderbcbj .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -11851,7 +11851,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#lsudnazrki .gt_subtitle {
+#xgfderbcbj .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -11863,7 +11863,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#lsudnazrki .gt_heading {
+#xgfderbcbj .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -11875,13 +11875,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#lsudnazrki .gt_bottom_border {
+#xgfderbcbj .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#lsudnazrki .gt_col_headings {
+#xgfderbcbj .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -11896,7 +11896,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#lsudnazrki .gt_col_heading {
+#xgfderbcbj .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -11916,7 +11916,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#lsudnazrki .gt_column_spanner_outer {
+#xgfderbcbj .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -11928,15 +11928,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#lsudnazrki .gt_column_spanner_outer:first-child {
+#xgfderbcbj .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#lsudnazrki .gt_column_spanner_outer:last-child {
+#xgfderbcbj .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#lsudnazrki .gt_column_spanner {
+#xgfderbcbj .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -11948,11 +11948,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#lsudnazrki .gt_spanner_row {
+#xgfderbcbj .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#lsudnazrki .gt_group_heading {
+#xgfderbcbj .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -11978,7 +11978,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#lsudnazrki .gt_empty_group_heading {
+#xgfderbcbj .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -11993,15 +11993,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#lsudnazrki .gt_from_md > :first-child {
+#xgfderbcbj .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#lsudnazrki .gt_from_md > :last-child {
+#xgfderbcbj .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#lsudnazrki .gt_row {
+#xgfderbcbj .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -12020,7 +12020,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#lsudnazrki .gt_stub {
+#xgfderbcbj .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -12033,7 +12033,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#lsudnazrki .gt_stub_row_group {
+#xgfderbcbj .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -12047,15 +12047,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#lsudnazrki .gt_row_group_first td {
+#xgfderbcbj .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#lsudnazrki .gt_row_group_first th {
+#xgfderbcbj .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#lsudnazrki .gt_summary_row {
+#xgfderbcbj .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -12065,16 +12065,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#lsudnazrki .gt_first_summary_row {
+#xgfderbcbj .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#lsudnazrki .gt_first_summary_row.thick {
+#xgfderbcbj .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#lsudnazrki .gt_last_summary_row {
+#xgfderbcbj .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -12084,7 +12084,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#lsudnazrki .gt_grand_summary_row {
+#xgfderbcbj .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -12094,7 +12094,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#lsudnazrki .gt_first_grand_summary_row {
+#xgfderbcbj .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -12104,7 +12104,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#lsudnazrki .gt_last_grand_summary_row_top {
+#xgfderbcbj .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -12114,11 +12114,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#lsudnazrki .gt_striped {
+#xgfderbcbj .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#lsudnazrki .gt_table_body {
+#xgfderbcbj .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -12127,7 +12127,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#lsudnazrki .gt_footnotes {
+#xgfderbcbj .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -12141,7 +12141,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#lsudnazrki .gt_footnote {
+#xgfderbcbj .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -12150,7 +12150,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#lsudnazrki .gt_sourcenotes {
+#xgfderbcbj .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -12164,7 +12164,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#lsudnazrki .gt_sourcenote {
+#xgfderbcbj .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -12172,63 +12172,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#lsudnazrki .gt_left {
+#xgfderbcbj .gt_left {
   text-align: left;
 }
 
-#lsudnazrki .gt_center {
+#xgfderbcbj .gt_center {
   text-align: center;
 }
 
-#lsudnazrki .gt_right {
+#xgfderbcbj .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#lsudnazrki .gt_font_normal {
+#xgfderbcbj .gt_font_normal {
   font-weight: normal;
 }
 
-#lsudnazrki .gt_font_bold {
+#xgfderbcbj .gt_font_bold {
   font-weight: bold;
 }
 
-#lsudnazrki .gt_font_italic {
+#xgfderbcbj .gt_font_italic {
   font-style: italic;
 }
 
-#lsudnazrki .gt_super {
+#xgfderbcbj .gt_super {
   font-size: 65%;
 }
 
-#lsudnazrki .gt_footnote_marks {
+#xgfderbcbj .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#lsudnazrki .gt_asterisk {
+#xgfderbcbj .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#lsudnazrki .gt_indent_1 {
+#xgfderbcbj .gt_indent_1 {
   text-indent: 5px;
 }
 
-#lsudnazrki .gt_indent_2 {
+#xgfderbcbj .gt_indent_2 {
   text-indent: 10px;
 }
 
-#lsudnazrki .gt_indent_3 {
+#xgfderbcbj .gt_indent_3 {
   text-indent: 15px;
 }
 
-#lsudnazrki .gt_indent_4 {
+#xgfderbcbj .gt_indent_4 {
   text-indent: 20px;
 }
 
-#lsudnazrki .gt_indent_5 {
+#xgfderbcbj .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -12296,26 +12296,26 @@ <h2 class="page-header">Variables</h2>
 </div>
 </div>
 </div>
-<div role="tabpanel" class="tab-pane col-sm-12" id="serdiglnbpbottom-serdiglnbplengths">
+<div role="tabpanel" class="tab-pane col-sm-12" id="fmugxeszzabottom-fmugxeszzalengths">
 <div class="col-sm-4">
 <p class="h4">String Lengths</p>
-<div id="vdoxwuxzud" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#vdoxwuxzud table {
+<div id="fafysfnhyp" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#fafysfnhyp table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#vdoxwuxzud thead, #vdoxwuxzud tbody, #vdoxwuxzud tfoot, #vdoxwuxzud tr, #vdoxwuxzud td, #vdoxwuxzud th {
+#fafysfnhyp thead, #fafysfnhyp tbody, #fafysfnhyp tfoot, #fafysfnhyp tr, #fafysfnhyp td, #fafysfnhyp th {
   border-style: none;
 }
 
-#vdoxwuxzud p {
+#fafysfnhyp p {
   margin: 0;
   padding: 0;
 }
 
-#vdoxwuxzud .gt_table {
+#fafysfnhyp .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -12341,12 +12341,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#vdoxwuxzud .gt_caption {
+#fafysfnhyp .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#vdoxwuxzud .gt_title {
+#fafysfnhyp .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -12358,7 +12358,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#vdoxwuxzud .gt_subtitle {
+#fafysfnhyp .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -12370,7 +12370,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#vdoxwuxzud .gt_heading {
+#fafysfnhyp .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -12382,13 +12382,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#vdoxwuxzud .gt_bottom_border {
+#fafysfnhyp .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#vdoxwuxzud .gt_col_headings {
+#fafysfnhyp .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -12403,7 +12403,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#vdoxwuxzud .gt_col_heading {
+#fafysfnhyp .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -12423,7 +12423,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#vdoxwuxzud .gt_column_spanner_outer {
+#fafysfnhyp .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -12435,15 +12435,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#vdoxwuxzud .gt_column_spanner_outer:first-child {
+#fafysfnhyp .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#vdoxwuxzud .gt_column_spanner_outer:last-child {
+#fafysfnhyp .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#vdoxwuxzud .gt_column_spanner {
+#fafysfnhyp .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -12455,11 +12455,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#vdoxwuxzud .gt_spanner_row {
+#fafysfnhyp .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#vdoxwuxzud .gt_group_heading {
+#fafysfnhyp .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -12485,7 +12485,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#vdoxwuxzud .gt_empty_group_heading {
+#fafysfnhyp .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -12500,15 +12500,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#vdoxwuxzud .gt_from_md > :first-child {
+#fafysfnhyp .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#vdoxwuxzud .gt_from_md > :last-child {
+#fafysfnhyp .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#vdoxwuxzud .gt_row {
+#fafysfnhyp .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -12527,7 +12527,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#vdoxwuxzud .gt_stub {
+#fafysfnhyp .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -12540,7 +12540,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#vdoxwuxzud .gt_stub_row_group {
+#fafysfnhyp .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -12554,15 +12554,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#vdoxwuxzud .gt_row_group_first td {
+#fafysfnhyp .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#vdoxwuxzud .gt_row_group_first th {
+#fafysfnhyp .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#vdoxwuxzud .gt_summary_row {
+#fafysfnhyp .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -12572,16 +12572,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#vdoxwuxzud .gt_first_summary_row {
+#fafysfnhyp .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#vdoxwuxzud .gt_first_summary_row.thick {
+#fafysfnhyp .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#vdoxwuxzud .gt_last_summary_row {
+#fafysfnhyp .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -12591,7 +12591,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#vdoxwuxzud .gt_grand_summary_row {
+#fafysfnhyp .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -12601,7 +12601,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#vdoxwuxzud .gt_first_grand_summary_row {
+#fafysfnhyp .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -12611,7 +12611,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#vdoxwuxzud .gt_last_grand_summary_row_top {
+#fafysfnhyp .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -12621,11 +12621,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#vdoxwuxzud .gt_striped {
+#fafysfnhyp .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#vdoxwuxzud .gt_table_body {
+#fafysfnhyp .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -12634,7 +12634,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#vdoxwuxzud .gt_footnotes {
+#fafysfnhyp .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -12648,7 +12648,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#vdoxwuxzud .gt_footnote {
+#fafysfnhyp .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -12657,7 +12657,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#vdoxwuxzud .gt_sourcenotes {
+#fafysfnhyp .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -12671,7 +12671,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#vdoxwuxzud .gt_sourcenote {
+#fafysfnhyp .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -12679,63 +12679,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#vdoxwuxzud .gt_left {
+#fafysfnhyp .gt_left {
   text-align: left;
 }
 
-#vdoxwuxzud .gt_center {
+#fafysfnhyp .gt_center {
   text-align: center;
 }
 
-#vdoxwuxzud .gt_right {
+#fafysfnhyp .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#vdoxwuxzud .gt_font_normal {
+#fafysfnhyp .gt_font_normal {
   font-weight: normal;
 }
 
-#vdoxwuxzud .gt_font_bold {
+#fafysfnhyp .gt_font_bold {
   font-weight: bold;
 }
 
-#vdoxwuxzud .gt_font_italic {
+#fafysfnhyp .gt_font_italic {
   font-style: italic;
 }
 
-#vdoxwuxzud .gt_super {
+#fafysfnhyp .gt_super {
   font-size: 65%;
 }
 
-#vdoxwuxzud .gt_footnote_marks {
+#fafysfnhyp .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#vdoxwuxzud .gt_asterisk {
+#fafysfnhyp .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#vdoxwuxzud .gt_indent_1 {
+#fafysfnhyp .gt_indent_1 {
   text-indent: 5px;
 }
 
-#vdoxwuxzud .gt_indent_2 {
+#fafysfnhyp .gt_indent_2 {
   text-indent: 10px;
 }
 
-#vdoxwuxzud .gt_indent_3 {
+#fafysfnhyp .gt_indent_3 {
   text-indent: 15px;
 }
 
-#vdoxwuxzud .gt_indent_4 {
+#fafysfnhyp .gt_indent_4 {
   text-indent: 20px;
 }
 
-#vdoxwuxzud .gt_indent_5 {
+#fafysfnhyp .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -12767,11 +12767,11 @@ <h2 class="page-header">Variables</h2>
 </a>
 </div>
 <div class="row spacing">
-<a class="anchor-pos anchor-pos-variable" id="pp_var_pgdgeycfiy">
+<a class="anchor-pos anchor-pos-variable" id="pp_var_lgqwhfbfrf">
 <div class="variable">
 <div class="col-sm-3">
 <p class="h4" style="margin-bottom:0;margin-top:-2px;" title="Time">
-<a href="#pp_var_pgdgeycfiy">
+<a href="#pp_var_lgqwhfbfrf">
 Time
 <br><small style="margin-top:0;">
 <code>integer</code>
@@ -12780,23 +12780,23 @@ <h2 class="page-header">Variables</h2>
 </p>
 </div>
 <div class="col-sm-5">
-<div id="bhgvpixjkl" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#bhgvpixjkl table {
+<div id="casojfxoro" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#casojfxoro table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#bhgvpixjkl thead, #bhgvpixjkl tbody, #bhgvpixjkl tfoot, #bhgvpixjkl tr, #bhgvpixjkl td, #bhgvpixjkl th {
+#casojfxoro thead, #casojfxoro tbody, #casojfxoro tfoot, #casojfxoro tr, #casojfxoro td, #casojfxoro th {
   border-style: none;
 }
 
-#bhgvpixjkl p {
+#casojfxoro p {
   margin: 0;
   padding: 0;
 }
 
-#bhgvpixjkl .gt_table {
+#casojfxoro .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -12822,12 +12822,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#bhgvpixjkl .gt_caption {
+#casojfxoro .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#bhgvpixjkl .gt_title {
+#casojfxoro .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -12839,7 +12839,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#bhgvpixjkl .gt_subtitle {
+#casojfxoro .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -12851,7 +12851,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#bhgvpixjkl .gt_heading {
+#casojfxoro .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -12863,13 +12863,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#bhgvpixjkl .gt_bottom_border {
+#casojfxoro .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#bhgvpixjkl .gt_col_headings {
+#casojfxoro .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -12884,7 +12884,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#bhgvpixjkl .gt_col_heading {
+#casojfxoro .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -12904,7 +12904,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#bhgvpixjkl .gt_column_spanner_outer {
+#casojfxoro .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -12916,15 +12916,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#bhgvpixjkl .gt_column_spanner_outer:first-child {
+#casojfxoro .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#bhgvpixjkl .gt_column_spanner_outer:last-child {
+#casojfxoro .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#bhgvpixjkl .gt_column_spanner {
+#casojfxoro .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -12936,11 +12936,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#bhgvpixjkl .gt_spanner_row {
+#casojfxoro .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#bhgvpixjkl .gt_group_heading {
+#casojfxoro .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -12966,7 +12966,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#bhgvpixjkl .gt_empty_group_heading {
+#casojfxoro .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -12981,15 +12981,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#bhgvpixjkl .gt_from_md > :first-child {
+#casojfxoro .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#bhgvpixjkl .gt_from_md > :last-child {
+#casojfxoro .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#bhgvpixjkl .gt_row {
+#casojfxoro .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -13008,7 +13008,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#bhgvpixjkl .gt_stub {
+#casojfxoro .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -13021,7 +13021,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#bhgvpixjkl .gt_stub_row_group {
+#casojfxoro .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -13035,15 +13035,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#bhgvpixjkl .gt_row_group_first td {
+#casojfxoro .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#bhgvpixjkl .gt_row_group_first th {
+#casojfxoro .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#bhgvpixjkl .gt_summary_row {
+#casojfxoro .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -13053,16 +13053,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#bhgvpixjkl .gt_first_summary_row {
+#casojfxoro .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#bhgvpixjkl .gt_first_summary_row.thick {
+#casojfxoro .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#bhgvpixjkl .gt_last_summary_row {
+#casojfxoro .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -13072,7 +13072,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#bhgvpixjkl .gt_grand_summary_row {
+#casojfxoro .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -13082,7 +13082,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#bhgvpixjkl .gt_first_grand_summary_row {
+#casojfxoro .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -13092,7 +13092,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#bhgvpixjkl .gt_last_grand_summary_row_top {
+#casojfxoro .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -13102,11 +13102,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#bhgvpixjkl .gt_striped {
+#casojfxoro .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#bhgvpixjkl .gt_table_body {
+#casojfxoro .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -13115,7 +13115,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#bhgvpixjkl .gt_footnotes {
+#casojfxoro .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -13129,7 +13129,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#bhgvpixjkl .gt_footnote {
+#casojfxoro .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -13138,7 +13138,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#bhgvpixjkl .gt_sourcenotes {
+#casojfxoro .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -13152,7 +13152,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#bhgvpixjkl .gt_sourcenote {
+#casojfxoro .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -13160,63 +13160,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#bhgvpixjkl .gt_left {
+#casojfxoro .gt_left {
   text-align: left;
 }
 
-#bhgvpixjkl .gt_center {
+#casojfxoro .gt_center {
   text-align: center;
 }
 
-#bhgvpixjkl .gt_right {
+#casojfxoro .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#bhgvpixjkl .gt_font_normal {
+#casojfxoro .gt_font_normal {
   font-weight: normal;
 }
 
-#bhgvpixjkl .gt_font_bold {
+#casojfxoro .gt_font_bold {
   font-weight: bold;
 }
 
-#bhgvpixjkl .gt_font_italic {
+#casojfxoro .gt_font_italic {
   font-style: italic;
 }
 
-#bhgvpixjkl .gt_super {
+#casojfxoro .gt_super {
   font-size: 65%;
 }
 
-#bhgvpixjkl .gt_footnote_marks {
+#casojfxoro .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#bhgvpixjkl .gt_asterisk {
+#casojfxoro .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#bhgvpixjkl .gt_indent_1 {
+#casojfxoro .gt_indent_1 {
   text-indent: 5px;
 }
 
-#bhgvpixjkl .gt_indent_2 {
+#casojfxoro .gt_indent_2 {
   text-indent: 10px;
 }
 
-#bhgvpixjkl .gt_indent_3 {
+#casojfxoro .gt_indent_3 {
   text-indent: 15px;
 }
 
-#bhgvpixjkl .gt_indent_4 {
+#casojfxoro .gt_indent_4 {
   text-indent: 20px;
 }
 
-#bhgvpixjkl .gt_indent_5 {
+#casojfxoro .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -13243,23 +13243,23 @@ <h2 class="page-header">Variables</h2>
 </div>
 </div>
 <div class="col-sm-4">
-<div id="rwggvnavpy" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#rwggvnavpy table {
+<div id="smcjcwezjl" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#smcjcwezjl table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#rwggvnavpy thead, #rwggvnavpy tbody, #rwggvnavpy tfoot, #rwggvnavpy tr, #rwggvnavpy td, #rwggvnavpy th {
+#smcjcwezjl thead, #smcjcwezjl tbody, #smcjcwezjl tfoot, #smcjcwezjl tr, #smcjcwezjl td, #smcjcwezjl th {
   border-style: none;
 }
 
-#rwggvnavpy p {
+#smcjcwezjl p {
   margin: 0;
   padding: 0;
 }
 
-#rwggvnavpy .gt_table {
+#smcjcwezjl .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -13285,12 +13285,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#rwggvnavpy .gt_caption {
+#smcjcwezjl .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#rwggvnavpy .gt_title {
+#smcjcwezjl .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -13302,7 +13302,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#rwggvnavpy .gt_subtitle {
+#smcjcwezjl .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -13314,7 +13314,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#rwggvnavpy .gt_heading {
+#smcjcwezjl .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -13326,13 +13326,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#rwggvnavpy .gt_bottom_border {
+#smcjcwezjl .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#rwggvnavpy .gt_col_headings {
+#smcjcwezjl .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -13347,7 +13347,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#rwggvnavpy .gt_col_heading {
+#smcjcwezjl .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -13367,7 +13367,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#rwggvnavpy .gt_column_spanner_outer {
+#smcjcwezjl .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -13379,15 +13379,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#rwggvnavpy .gt_column_spanner_outer:first-child {
+#smcjcwezjl .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#rwggvnavpy .gt_column_spanner_outer:last-child {
+#smcjcwezjl .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#rwggvnavpy .gt_column_spanner {
+#smcjcwezjl .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -13399,11 +13399,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#rwggvnavpy .gt_spanner_row {
+#smcjcwezjl .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#rwggvnavpy .gt_group_heading {
+#smcjcwezjl .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -13429,7 +13429,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#rwggvnavpy .gt_empty_group_heading {
+#smcjcwezjl .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -13444,15 +13444,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#rwggvnavpy .gt_from_md > :first-child {
+#smcjcwezjl .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#rwggvnavpy .gt_from_md > :last-child {
+#smcjcwezjl .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#rwggvnavpy .gt_row {
+#smcjcwezjl .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -13471,7 +13471,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#rwggvnavpy .gt_stub {
+#smcjcwezjl .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -13484,7 +13484,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#rwggvnavpy .gt_stub_row_group {
+#smcjcwezjl .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -13498,15 +13498,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#rwggvnavpy .gt_row_group_first td {
+#smcjcwezjl .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#rwggvnavpy .gt_row_group_first th {
+#smcjcwezjl .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#rwggvnavpy .gt_summary_row {
+#smcjcwezjl .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -13516,16 +13516,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#rwggvnavpy .gt_first_summary_row {
+#smcjcwezjl .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#rwggvnavpy .gt_first_summary_row.thick {
+#smcjcwezjl .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#rwggvnavpy .gt_last_summary_row {
+#smcjcwezjl .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -13535,7 +13535,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#rwggvnavpy .gt_grand_summary_row {
+#smcjcwezjl .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -13545,7 +13545,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#rwggvnavpy .gt_first_grand_summary_row {
+#smcjcwezjl .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -13555,7 +13555,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#rwggvnavpy .gt_last_grand_summary_row_top {
+#smcjcwezjl .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -13565,11 +13565,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#rwggvnavpy .gt_striped {
+#smcjcwezjl .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#rwggvnavpy .gt_table_body {
+#smcjcwezjl .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -13578,7 +13578,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#rwggvnavpy .gt_footnotes {
+#smcjcwezjl .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -13592,7 +13592,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#rwggvnavpy .gt_footnote {
+#smcjcwezjl .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -13601,7 +13601,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#rwggvnavpy .gt_sourcenotes {
+#smcjcwezjl .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -13615,7 +13615,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#rwggvnavpy .gt_sourcenote {
+#smcjcwezjl .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -13623,63 +13623,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#rwggvnavpy .gt_left {
+#smcjcwezjl .gt_left {
   text-align: left;
 }
 
-#rwggvnavpy .gt_center {
+#smcjcwezjl .gt_center {
   text-align: center;
 }
 
-#rwggvnavpy .gt_right {
+#smcjcwezjl .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#rwggvnavpy .gt_font_normal {
+#smcjcwezjl .gt_font_normal {
   font-weight: normal;
 }
 
-#rwggvnavpy .gt_font_bold {
+#smcjcwezjl .gt_font_bold {
   font-weight: bold;
 }
 
-#rwggvnavpy .gt_font_italic {
+#smcjcwezjl .gt_font_italic {
   font-style: italic;
 }
 
-#rwggvnavpy .gt_super {
+#smcjcwezjl .gt_super {
   font-size: 65%;
 }
 
-#rwggvnavpy .gt_footnote_marks {
+#smcjcwezjl .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#rwggvnavpy .gt_asterisk {
+#smcjcwezjl .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#rwggvnavpy .gt_indent_1 {
+#smcjcwezjl .gt_indent_1 {
   text-indent: 5px;
 }
 
-#rwggvnavpy .gt_indent_2 {
+#smcjcwezjl .gt_indent_2 {
   text-indent: 10px;
 }
 
-#rwggvnavpy .gt_indent_3 {
+#smcjcwezjl .gt_indent_3 {
   text-indent: 15px;
 }
 
-#rwggvnavpy .gt_indent_4 {
+#smcjcwezjl .gt_indent_4 {
   text-indent: 20px;
 }
 
-#rwggvnavpy .gt_indent_5 {
+#smcjcwezjl .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -13706,42 +13706,42 @@ <h2 class="page-header">Variables</h2>
 </div>
 </div>
 <div class="col-sm-12 text-left">
-<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-pgdgeycfiy, #minifreqtablepgdgeycfiy" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
+<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-lgqwhfbfrf, #minifreqtablelgqwhfbfrf" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
 </div>
-<div id="bottom-pgdgeycfiy" class="collapse" aria-expanded="false" style="height: 5px;">
+<div id="bottom-lgqwhfbfrf" class="collapse" aria-expanded="false" style="height: 5px;">
 <div class="row spacing">
 <ul class="nav nav-tabs" role="tablist">
 <li role="presentation" class="active" style="padding-top: 5px;">
-<a href="#pgdgeycfiybottom-pgdgeycfiystatistics" aria-controls="pgdgeycfiybottom-pgdgeycfiystatistics" role="tab" data-toggle="tab">Statistics</a>
+<a href="#lgqwhfbfrfbottom-lgqwhfbfrfstatistics" aria-controls="lgqwhfbfrfbottom-lgqwhfbfrfstatistics" role="tab" data-toggle="tab">Statistics</a>
 </li>
 <li role="presentation" class="" style="padding-top: 5px;">
-<a href="#pgdgeycfiybottom-pgdgeycfiycommon_values" aria-controls="pgdgeycfiybottom-pgdgeycfiycommon_values" role="tab" data-toggle="tab">Common Values</a>
+<a href="#lgqwhfbfrfbottom-lgqwhfbfrfcommon_values" aria-controls="lgqwhfbfrfbottom-lgqwhfbfrfcommon_values" role="tab" data-toggle="tab">Common Values</a>
 </li>
 <li role="presentation" class="" style="padding-top: 5px;">
-<a href="#pgdgeycfiybottom-pgdgeycfiymax_min_slices" aria-controls="pgdgeycfiybottom-pgdgeycfiymax_min_slices" role="tab" data-toggle="tab">Max/Min Slices</a>
+<a href="#lgqwhfbfrfbottom-lgqwhfbfrfmax_min_slices" aria-controls="lgqwhfbfrfbottom-lgqwhfbfrfmax_min_slices" role="tab" data-toggle="tab">Max/Min Slices</a>
 </li>
 </ul>
 <div class="tab-content">
-<div role="tabpanel" class="tab-pane col-sm-12 active" id="pgdgeycfiybottom-pgdgeycfiystatistics">
+<div role="tabpanel" class="tab-pane col-sm-12 active" id="lgqwhfbfrfbottom-lgqwhfbfrfstatistics">
 <div class="col-sm-6">
 <p class="h4">Quantile Statistics</p>
-<div id="xpptpzxmge" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#xpptpzxmge table {
+<div id="beyjiajvec" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#beyjiajvec table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#xpptpzxmge thead, #xpptpzxmge tbody, #xpptpzxmge tfoot, #xpptpzxmge tr, #xpptpzxmge td, #xpptpzxmge th {
+#beyjiajvec thead, #beyjiajvec tbody, #beyjiajvec tfoot, #beyjiajvec tr, #beyjiajvec td, #beyjiajvec th {
   border-style: none;
 }
 
-#xpptpzxmge p {
+#beyjiajvec p {
   margin: 0;
   padding: 0;
 }
 
-#xpptpzxmge .gt_table {
+#beyjiajvec .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -13767,12 +13767,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#xpptpzxmge .gt_caption {
+#beyjiajvec .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#xpptpzxmge .gt_title {
+#beyjiajvec .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -13784,7 +13784,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#xpptpzxmge .gt_subtitle {
+#beyjiajvec .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -13796,7 +13796,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#xpptpzxmge .gt_heading {
+#beyjiajvec .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -13808,13 +13808,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#xpptpzxmge .gt_bottom_border {
+#beyjiajvec .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#xpptpzxmge .gt_col_headings {
+#beyjiajvec .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -13829,7 +13829,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#xpptpzxmge .gt_col_heading {
+#beyjiajvec .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -13849,7 +13849,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#xpptpzxmge .gt_column_spanner_outer {
+#beyjiajvec .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -13861,15 +13861,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#xpptpzxmge .gt_column_spanner_outer:first-child {
+#beyjiajvec .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#xpptpzxmge .gt_column_spanner_outer:last-child {
+#beyjiajvec .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#xpptpzxmge .gt_column_spanner {
+#beyjiajvec .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -13881,11 +13881,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#xpptpzxmge .gt_spanner_row {
+#beyjiajvec .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#xpptpzxmge .gt_group_heading {
+#beyjiajvec .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -13911,7 +13911,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#xpptpzxmge .gt_empty_group_heading {
+#beyjiajvec .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -13926,15 +13926,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#xpptpzxmge .gt_from_md > :first-child {
+#beyjiajvec .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#xpptpzxmge .gt_from_md > :last-child {
+#beyjiajvec .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#xpptpzxmge .gt_row {
+#beyjiajvec .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -13953,7 +13953,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#xpptpzxmge .gt_stub {
+#beyjiajvec .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -13966,7 +13966,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#xpptpzxmge .gt_stub_row_group {
+#beyjiajvec .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -13980,15 +13980,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#xpptpzxmge .gt_row_group_first td {
+#beyjiajvec .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#xpptpzxmge .gt_row_group_first th {
+#beyjiajvec .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#xpptpzxmge .gt_summary_row {
+#beyjiajvec .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -13998,16 +13998,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#xpptpzxmge .gt_first_summary_row {
+#beyjiajvec .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#xpptpzxmge .gt_first_summary_row.thick {
+#beyjiajvec .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#xpptpzxmge .gt_last_summary_row {
+#beyjiajvec .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -14017,7 +14017,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#xpptpzxmge .gt_grand_summary_row {
+#beyjiajvec .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -14027,7 +14027,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#xpptpzxmge .gt_first_grand_summary_row {
+#beyjiajvec .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -14037,7 +14037,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#xpptpzxmge .gt_last_grand_summary_row_top {
+#beyjiajvec .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -14047,11 +14047,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#xpptpzxmge .gt_striped {
+#beyjiajvec .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#xpptpzxmge .gt_table_body {
+#beyjiajvec .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -14060,7 +14060,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#xpptpzxmge .gt_footnotes {
+#beyjiajvec .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -14074,7 +14074,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#xpptpzxmge .gt_footnote {
+#beyjiajvec .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -14083,7 +14083,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#xpptpzxmge .gt_sourcenotes {
+#beyjiajvec .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -14097,7 +14097,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#xpptpzxmge .gt_sourcenote {
+#beyjiajvec .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -14105,63 +14105,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#xpptpzxmge .gt_left {
+#beyjiajvec .gt_left {
   text-align: left;
 }
 
-#xpptpzxmge .gt_center {
+#beyjiajvec .gt_center {
   text-align: center;
 }
 
-#xpptpzxmge .gt_right {
+#beyjiajvec .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#xpptpzxmge .gt_font_normal {
+#beyjiajvec .gt_font_normal {
   font-weight: normal;
 }
 
-#xpptpzxmge .gt_font_bold {
+#beyjiajvec .gt_font_bold {
   font-weight: bold;
 }
 
-#xpptpzxmge .gt_font_italic {
+#beyjiajvec .gt_font_italic {
   font-style: italic;
 }
 
-#xpptpzxmge .gt_super {
+#beyjiajvec .gt_super {
   font-size: 65%;
 }
 
-#xpptpzxmge .gt_footnote_marks {
+#beyjiajvec .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#xpptpzxmge .gt_asterisk {
+#beyjiajvec .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#xpptpzxmge .gt_indent_1 {
+#beyjiajvec .gt_indent_1 {
   text-indent: 5px;
 }
 
-#xpptpzxmge .gt_indent_2 {
+#beyjiajvec .gt_indent_2 {
   text-indent: 10px;
 }
 
-#xpptpzxmge .gt_indent_3 {
+#beyjiajvec .gt_indent_3 {
   text-indent: 15px;
 }
 
-#xpptpzxmge .gt_indent_4 {
+#beyjiajvec .gt_indent_4 {
   text-indent: 20px;
 }
 
-#xpptpzxmge .gt_indent_5 {
+#beyjiajvec .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -14207,23 +14207,23 @@ <h2 class="page-header">Variables</h2>
 </div>
 <div class="col-sm-6">
 <p class="h4">Descriptive Statistics</p>
-<div id="lnszyrgqje" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#lnszyrgqje table {
+<div id="ejzzyygpho" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#ejzzyygpho table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#lnszyrgqje thead, #lnszyrgqje tbody, #lnszyrgqje tfoot, #lnszyrgqje tr, #lnszyrgqje td, #lnszyrgqje th {
+#ejzzyygpho thead, #ejzzyygpho tbody, #ejzzyygpho tfoot, #ejzzyygpho tr, #ejzzyygpho td, #ejzzyygpho th {
   border-style: none;
 }
 
-#lnszyrgqje p {
+#ejzzyygpho p {
   margin: 0;
   padding: 0;
 }
 
-#lnszyrgqje .gt_table {
+#ejzzyygpho .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -14249,12 +14249,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#lnszyrgqje .gt_caption {
+#ejzzyygpho .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#lnszyrgqje .gt_title {
+#ejzzyygpho .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -14266,7 +14266,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#lnszyrgqje .gt_subtitle {
+#ejzzyygpho .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -14278,7 +14278,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#lnszyrgqje .gt_heading {
+#ejzzyygpho .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -14290,13 +14290,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#lnszyrgqje .gt_bottom_border {
+#ejzzyygpho .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#lnszyrgqje .gt_col_headings {
+#ejzzyygpho .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -14311,7 +14311,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#lnszyrgqje .gt_col_heading {
+#ejzzyygpho .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -14331,7 +14331,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#lnszyrgqje .gt_column_spanner_outer {
+#ejzzyygpho .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -14343,15 +14343,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#lnszyrgqje .gt_column_spanner_outer:first-child {
+#ejzzyygpho .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#lnszyrgqje .gt_column_spanner_outer:last-child {
+#ejzzyygpho .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#lnszyrgqje .gt_column_spanner {
+#ejzzyygpho .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -14363,11 +14363,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#lnszyrgqje .gt_spanner_row {
+#ejzzyygpho .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#lnszyrgqje .gt_group_heading {
+#ejzzyygpho .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -14393,7 +14393,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#lnszyrgqje .gt_empty_group_heading {
+#ejzzyygpho .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -14408,15 +14408,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#lnszyrgqje .gt_from_md > :first-child {
+#ejzzyygpho .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#lnszyrgqje .gt_from_md > :last-child {
+#ejzzyygpho .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#lnszyrgqje .gt_row {
+#ejzzyygpho .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -14435,7 +14435,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#lnszyrgqje .gt_stub {
+#ejzzyygpho .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -14448,7 +14448,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#lnszyrgqje .gt_stub_row_group {
+#ejzzyygpho .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -14462,15 +14462,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#lnszyrgqje .gt_row_group_first td {
+#ejzzyygpho .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#lnszyrgqje .gt_row_group_first th {
+#ejzzyygpho .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#lnszyrgqje .gt_summary_row {
+#ejzzyygpho .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -14480,16 +14480,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#lnszyrgqje .gt_first_summary_row {
+#ejzzyygpho .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#lnszyrgqje .gt_first_summary_row.thick {
+#ejzzyygpho .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#lnszyrgqje .gt_last_summary_row {
+#ejzzyygpho .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -14499,7 +14499,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#lnszyrgqje .gt_grand_summary_row {
+#ejzzyygpho .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -14509,7 +14509,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#lnszyrgqje .gt_first_grand_summary_row {
+#ejzzyygpho .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -14519,7 +14519,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#lnszyrgqje .gt_last_grand_summary_row_top {
+#ejzzyygpho .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -14529,11 +14529,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#lnszyrgqje .gt_striped {
+#ejzzyygpho .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#lnszyrgqje .gt_table_body {
+#ejzzyygpho .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -14542,7 +14542,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#lnszyrgqje .gt_footnotes {
+#ejzzyygpho .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -14556,7 +14556,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#lnszyrgqje .gt_footnote {
+#ejzzyygpho .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -14565,7 +14565,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#lnszyrgqje .gt_sourcenotes {
+#ejzzyygpho .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -14579,7 +14579,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#lnszyrgqje .gt_sourcenote {
+#ejzzyygpho .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -14587,63 +14587,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#lnszyrgqje .gt_left {
+#ejzzyygpho .gt_left {
   text-align: left;
 }
 
-#lnszyrgqje .gt_center {
+#ejzzyygpho .gt_center {
   text-align: center;
 }
 
-#lnszyrgqje .gt_right {
+#ejzzyygpho .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#lnszyrgqje .gt_font_normal {
+#ejzzyygpho .gt_font_normal {
   font-weight: normal;
 }
 
-#lnszyrgqje .gt_font_bold {
+#ejzzyygpho .gt_font_bold {
   font-weight: bold;
 }
 
-#lnszyrgqje .gt_font_italic {
+#ejzzyygpho .gt_font_italic {
   font-style: italic;
 }
 
-#lnszyrgqje .gt_super {
+#ejzzyygpho .gt_super {
   font-size: 65%;
 }
 
-#lnszyrgqje .gt_footnote_marks {
+#ejzzyygpho .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#lnszyrgqje .gt_asterisk {
+#ejzzyygpho .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#lnszyrgqje .gt_indent_1 {
+#ejzzyygpho .gt_indent_1 {
   text-indent: 5px;
 }
 
-#lnszyrgqje .gt_indent_2 {
+#ejzzyygpho .gt_indent_2 {
   text-indent: 10px;
 }
 
-#lnszyrgqje .gt_indent_3 {
+#ejzzyygpho .gt_indent_3 {
   text-indent: 15px;
 }
 
-#lnszyrgqje .gt_indent_4 {
+#ejzzyygpho .gt_indent_4 {
   text-indent: 20px;
 }
 
-#lnszyrgqje .gt_indent_5 {
+#ejzzyygpho .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -14668,26 +14668,26 @@ <h2 class="page-header">Variables</h2>
 </div>
 </div>
 </div>
-<div role="tabpanel" class="tab-pane col-sm-12" id="pgdgeycfiybottom-pgdgeycfiycommon_values">
+<div role="tabpanel" class="tab-pane col-sm-12" id="lgqwhfbfrfbottom-lgqwhfbfrfcommon_values">
 <div class="col-sm-12">
 <p class="h4"></p>
-<div id="vfwxcjnhae" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#vfwxcjnhae table {
+<div id="xwlogvpyyk" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#xwlogvpyyk table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#vfwxcjnhae thead, #vfwxcjnhae tbody, #vfwxcjnhae tfoot, #vfwxcjnhae tr, #vfwxcjnhae td, #vfwxcjnhae th {
+#xwlogvpyyk thead, #xwlogvpyyk tbody, #xwlogvpyyk tfoot, #xwlogvpyyk tr, #xwlogvpyyk td, #xwlogvpyyk th {
   border-style: none;
 }
 
-#vfwxcjnhae p {
+#xwlogvpyyk p {
   margin: 0;
   padding: 0;
 }
 
-#vfwxcjnhae .gt_table {
+#xwlogvpyyk .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -14713,12 +14713,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#vfwxcjnhae .gt_caption {
+#xwlogvpyyk .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#vfwxcjnhae .gt_title {
+#xwlogvpyyk .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -14730,7 +14730,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#vfwxcjnhae .gt_subtitle {
+#xwlogvpyyk .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -14742,7 +14742,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#vfwxcjnhae .gt_heading {
+#xwlogvpyyk .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -14754,13 +14754,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#vfwxcjnhae .gt_bottom_border {
+#xwlogvpyyk .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#vfwxcjnhae .gt_col_headings {
+#xwlogvpyyk .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -14775,7 +14775,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#vfwxcjnhae .gt_col_heading {
+#xwlogvpyyk .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -14795,7 +14795,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#vfwxcjnhae .gt_column_spanner_outer {
+#xwlogvpyyk .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -14807,15 +14807,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#vfwxcjnhae .gt_column_spanner_outer:first-child {
+#xwlogvpyyk .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#vfwxcjnhae .gt_column_spanner_outer:last-child {
+#xwlogvpyyk .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#vfwxcjnhae .gt_column_spanner {
+#xwlogvpyyk .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -14827,11 +14827,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#vfwxcjnhae .gt_spanner_row {
+#xwlogvpyyk .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#vfwxcjnhae .gt_group_heading {
+#xwlogvpyyk .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -14857,7 +14857,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#vfwxcjnhae .gt_empty_group_heading {
+#xwlogvpyyk .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -14872,15 +14872,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#vfwxcjnhae .gt_from_md > :first-child {
+#xwlogvpyyk .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#vfwxcjnhae .gt_from_md > :last-child {
+#xwlogvpyyk .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#vfwxcjnhae .gt_row {
+#xwlogvpyyk .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -14899,7 +14899,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#vfwxcjnhae .gt_stub {
+#xwlogvpyyk .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -14912,7 +14912,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#vfwxcjnhae .gt_stub_row_group {
+#xwlogvpyyk .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -14926,15 +14926,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#vfwxcjnhae .gt_row_group_first td {
+#xwlogvpyyk .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#vfwxcjnhae .gt_row_group_first th {
+#xwlogvpyyk .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#vfwxcjnhae .gt_summary_row {
+#xwlogvpyyk .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -14944,16 +14944,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#vfwxcjnhae .gt_first_summary_row {
+#xwlogvpyyk .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#vfwxcjnhae .gt_first_summary_row.thick {
+#xwlogvpyyk .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#vfwxcjnhae .gt_last_summary_row {
+#xwlogvpyyk .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -14963,7 +14963,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#vfwxcjnhae .gt_grand_summary_row {
+#xwlogvpyyk .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -14973,7 +14973,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#vfwxcjnhae .gt_first_grand_summary_row {
+#xwlogvpyyk .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -14983,7 +14983,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#vfwxcjnhae .gt_last_grand_summary_row_top {
+#xwlogvpyyk .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -14993,11 +14993,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#vfwxcjnhae .gt_striped {
+#xwlogvpyyk .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#vfwxcjnhae .gt_table_body {
+#xwlogvpyyk .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -15006,7 +15006,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#vfwxcjnhae .gt_footnotes {
+#xwlogvpyyk .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -15020,7 +15020,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#vfwxcjnhae .gt_footnote {
+#xwlogvpyyk .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -15029,7 +15029,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#vfwxcjnhae .gt_sourcenotes {
+#xwlogvpyyk .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -15043,7 +15043,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#vfwxcjnhae .gt_sourcenote {
+#xwlogvpyyk .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -15051,63 +15051,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#vfwxcjnhae .gt_left {
+#xwlogvpyyk .gt_left {
   text-align: left;
 }
 
-#vfwxcjnhae .gt_center {
+#xwlogvpyyk .gt_center {
   text-align: center;
 }
 
-#vfwxcjnhae .gt_right {
+#xwlogvpyyk .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#vfwxcjnhae .gt_font_normal {
+#xwlogvpyyk .gt_font_normal {
   font-weight: normal;
 }
 
-#vfwxcjnhae .gt_font_bold {
+#xwlogvpyyk .gt_font_bold {
   font-weight: bold;
 }
 
-#vfwxcjnhae .gt_font_italic {
+#xwlogvpyyk .gt_font_italic {
   font-style: italic;
 }
 
-#vfwxcjnhae .gt_super {
+#xwlogvpyyk .gt_super {
   font-size: 65%;
 }
 
-#vfwxcjnhae .gt_footnote_marks {
+#xwlogvpyyk .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#vfwxcjnhae .gt_asterisk {
+#xwlogvpyyk .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#vfwxcjnhae .gt_indent_1 {
+#xwlogvpyyk .gt_indent_1 {
   text-indent: 5px;
 }
 
-#vfwxcjnhae .gt_indent_2 {
+#xwlogvpyyk .gt_indent_2 {
   text-indent: 10px;
 }
 
-#vfwxcjnhae .gt_indent_3 {
+#xwlogvpyyk .gt_indent_3 {
   text-indent: 15px;
 }
 
-#vfwxcjnhae .gt_indent_4 {
+#xwlogvpyyk .gt_indent_4 {
   text-indent: 20px;
 }
 
-#vfwxcjnhae .gt_indent_5 {
+#xwlogvpyyk .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -15155,26 +15155,26 @@ <h2 class="page-header">Variables</h2>
 </div>
 </div>
 </div>
-<div role="tabpanel" class="tab-pane col-sm-12" id="pgdgeycfiybottom-pgdgeycfiymax_min_slices">
+<div role="tabpanel" class="tab-pane col-sm-12" id="lgqwhfbfrfbottom-lgqwhfbfrfmax_min_slices">
 <div class="col-sm-6">
 <p class="h4">Maximum Values</p>
-<div id="flciujurnx" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#flciujurnx table {
+<div id="shymkrndmq" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#shymkrndmq table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#flciujurnx thead, #flciujurnx tbody, #flciujurnx tfoot, #flciujurnx tr, #flciujurnx td, #flciujurnx th {
+#shymkrndmq thead, #shymkrndmq tbody, #shymkrndmq tfoot, #shymkrndmq tr, #shymkrndmq td, #shymkrndmq th {
   border-style: none;
 }
 
-#flciujurnx p {
+#shymkrndmq p {
   margin: 0;
   padding: 0;
 }
 
-#flciujurnx .gt_table {
+#shymkrndmq .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -15200,12 +15200,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#flciujurnx .gt_caption {
+#shymkrndmq .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#flciujurnx .gt_title {
+#shymkrndmq .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -15217,7 +15217,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#flciujurnx .gt_subtitle {
+#shymkrndmq .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -15229,7 +15229,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#flciujurnx .gt_heading {
+#shymkrndmq .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -15241,13 +15241,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#flciujurnx .gt_bottom_border {
+#shymkrndmq .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#flciujurnx .gt_col_headings {
+#shymkrndmq .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -15262,7 +15262,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#flciujurnx .gt_col_heading {
+#shymkrndmq .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -15282,7 +15282,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#flciujurnx .gt_column_spanner_outer {
+#shymkrndmq .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -15294,15 +15294,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#flciujurnx .gt_column_spanner_outer:first-child {
+#shymkrndmq .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#flciujurnx .gt_column_spanner_outer:last-child {
+#shymkrndmq .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#flciujurnx .gt_column_spanner {
+#shymkrndmq .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -15314,11 +15314,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#flciujurnx .gt_spanner_row {
+#shymkrndmq .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#flciujurnx .gt_group_heading {
+#shymkrndmq .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -15344,7 +15344,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#flciujurnx .gt_empty_group_heading {
+#shymkrndmq .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -15359,15 +15359,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#flciujurnx .gt_from_md > :first-child {
+#shymkrndmq .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#flciujurnx .gt_from_md > :last-child {
+#shymkrndmq .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#flciujurnx .gt_row {
+#shymkrndmq .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -15386,7 +15386,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#flciujurnx .gt_stub {
+#shymkrndmq .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -15399,7 +15399,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#flciujurnx .gt_stub_row_group {
+#shymkrndmq .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -15413,15 +15413,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#flciujurnx .gt_row_group_first td {
+#shymkrndmq .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#flciujurnx .gt_row_group_first th {
+#shymkrndmq .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#flciujurnx .gt_summary_row {
+#shymkrndmq .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -15431,16 +15431,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#flciujurnx .gt_first_summary_row {
+#shymkrndmq .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#flciujurnx .gt_first_summary_row.thick {
+#shymkrndmq .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#flciujurnx .gt_last_summary_row {
+#shymkrndmq .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -15450,7 +15450,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#flciujurnx .gt_grand_summary_row {
+#shymkrndmq .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -15460,7 +15460,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#flciujurnx .gt_first_grand_summary_row {
+#shymkrndmq .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -15470,7 +15470,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#flciujurnx .gt_last_grand_summary_row_top {
+#shymkrndmq .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -15480,11 +15480,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#flciujurnx .gt_striped {
+#shymkrndmq .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#flciujurnx .gt_table_body {
+#shymkrndmq .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -15493,7 +15493,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#flciujurnx .gt_footnotes {
+#shymkrndmq .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -15507,7 +15507,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#flciujurnx .gt_footnote {
+#shymkrndmq .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -15516,7 +15516,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#flciujurnx .gt_sourcenotes {
+#shymkrndmq .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -15530,7 +15530,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#flciujurnx .gt_sourcenote {
+#shymkrndmq .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -15538,63 +15538,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#flciujurnx .gt_left {
+#shymkrndmq .gt_left {
   text-align: left;
 }
 
-#flciujurnx .gt_center {
+#shymkrndmq .gt_center {
   text-align: center;
 }
 
-#flciujurnx .gt_right {
+#shymkrndmq .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#flciujurnx .gt_font_normal {
+#shymkrndmq .gt_font_normal {
   font-weight: normal;
 }
 
-#flciujurnx .gt_font_bold {
+#shymkrndmq .gt_font_bold {
   font-weight: bold;
 }
 
-#flciujurnx .gt_font_italic {
+#shymkrndmq .gt_font_italic {
   font-style: italic;
 }
 
-#flciujurnx .gt_super {
+#shymkrndmq .gt_super {
   font-size: 65%;
 }
 
-#flciujurnx .gt_footnote_marks {
+#shymkrndmq .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#flciujurnx .gt_asterisk {
+#shymkrndmq .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#flciujurnx .gt_indent_1 {
+#shymkrndmq .gt_indent_1 {
   text-indent: 5px;
 }
 
-#flciujurnx .gt_indent_2 {
+#shymkrndmq .gt_indent_2 {
   text-indent: 10px;
 }
 
-#flciujurnx .gt_indent_3 {
+#shymkrndmq .gt_indent_3 {
   text-indent: 15px;
 }
 
-#flciujurnx .gt_indent_4 {
+#shymkrndmq .gt_indent_4 {
   text-indent: 20px;
 }
 
-#flciujurnx .gt_indent_5 {
+#shymkrndmq .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -15636,23 +15636,23 @@ <h2 class="page-header">Variables</h2>
 </div>
 <div class="col-sm-6">
 <p class="h4">Minimum Values</p>
-<div id="mopuhedgul" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#mopuhedgul table {
+<div id="gwtmxmdwas" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#gwtmxmdwas table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#mopuhedgul thead, #mopuhedgul tbody, #mopuhedgul tfoot, #mopuhedgul tr, #mopuhedgul td, #mopuhedgul th {
+#gwtmxmdwas thead, #gwtmxmdwas tbody, #gwtmxmdwas tfoot, #gwtmxmdwas tr, #gwtmxmdwas td, #gwtmxmdwas th {
   border-style: none;
 }
 
-#mopuhedgul p {
+#gwtmxmdwas p {
   margin: 0;
   padding: 0;
 }
 
-#mopuhedgul .gt_table {
+#gwtmxmdwas .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -15678,12 +15678,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#mopuhedgul .gt_caption {
+#gwtmxmdwas .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#mopuhedgul .gt_title {
+#gwtmxmdwas .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -15695,7 +15695,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#mopuhedgul .gt_subtitle {
+#gwtmxmdwas .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -15707,7 +15707,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#mopuhedgul .gt_heading {
+#gwtmxmdwas .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -15719,13 +15719,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#mopuhedgul .gt_bottom_border {
+#gwtmxmdwas .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#mopuhedgul .gt_col_headings {
+#gwtmxmdwas .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -15740,7 +15740,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#mopuhedgul .gt_col_heading {
+#gwtmxmdwas .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -15760,7 +15760,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#mopuhedgul .gt_column_spanner_outer {
+#gwtmxmdwas .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -15772,15 +15772,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#mopuhedgul .gt_column_spanner_outer:first-child {
+#gwtmxmdwas .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#mopuhedgul .gt_column_spanner_outer:last-child {
+#gwtmxmdwas .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#mopuhedgul .gt_column_spanner {
+#gwtmxmdwas .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -15792,11 +15792,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#mopuhedgul .gt_spanner_row {
+#gwtmxmdwas .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#mopuhedgul .gt_group_heading {
+#gwtmxmdwas .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -15822,7 +15822,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#mopuhedgul .gt_empty_group_heading {
+#gwtmxmdwas .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -15837,15 +15837,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#mopuhedgul .gt_from_md > :first-child {
+#gwtmxmdwas .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#mopuhedgul .gt_from_md > :last-child {
+#gwtmxmdwas .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#mopuhedgul .gt_row {
+#gwtmxmdwas .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -15864,7 +15864,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#mopuhedgul .gt_stub {
+#gwtmxmdwas .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -15877,7 +15877,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#mopuhedgul .gt_stub_row_group {
+#gwtmxmdwas .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -15891,15 +15891,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#mopuhedgul .gt_row_group_first td {
+#gwtmxmdwas .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#mopuhedgul .gt_row_group_first th {
+#gwtmxmdwas .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#mopuhedgul .gt_summary_row {
+#gwtmxmdwas .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -15909,16 +15909,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#mopuhedgul .gt_first_summary_row {
+#gwtmxmdwas .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#mopuhedgul .gt_first_summary_row.thick {
+#gwtmxmdwas .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#mopuhedgul .gt_last_summary_row {
+#gwtmxmdwas .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -15928,7 +15928,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#mopuhedgul .gt_grand_summary_row {
+#gwtmxmdwas .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -15938,7 +15938,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#mopuhedgul .gt_first_grand_summary_row {
+#gwtmxmdwas .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -15948,7 +15948,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#mopuhedgul .gt_last_grand_summary_row_top {
+#gwtmxmdwas .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -15958,11 +15958,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#mopuhedgul .gt_striped {
+#gwtmxmdwas .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#mopuhedgul .gt_table_body {
+#gwtmxmdwas .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -15971,7 +15971,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#mopuhedgul .gt_footnotes {
+#gwtmxmdwas .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -15985,7 +15985,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#mopuhedgul .gt_footnote {
+#gwtmxmdwas .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -15994,7 +15994,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#mopuhedgul .gt_sourcenotes {
+#gwtmxmdwas .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -16008,7 +16008,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#mopuhedgul .gt_sourcenote {
+#gwtmxmdwas .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -16016,63 +16016,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#mopuhedgul .gt_left {
+#gwtmxmdwas .gt_left {
   text-align: left;
 }
 
-#mopuhedgul .gt_center {
+#gwtmxmdwas .gt_center {
   text-align: center;
 }
 
-#mopuhedgul .gt_right {
+#gwtmxmdwas .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#mopuhedgul .gt_font_normal {
+#gwtmxmdwas .gt_font_normal {
   font-weight: normal;
 }
 
-#mopuhedgul .gt_font_bold {
+#gwtmxmdwas .gt_font_bold {
   font-weight: bold;
 }
 
-#mopuhedgul .gt_font_italic {
+#gwtmxmdwas .gt_font_italic {
   font-style: italic;
 }
 
-#mopuhedgul .gt_super {
+#gwtmxmdwas .gt_super {
   font-size: 65%;
 }
 
-#mopuhedgul .gt_footnote_marks {
+#gwtmxmdwas .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#mopuhedgul .gt_asterisk {
+#gwtmxmdwas .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#mopuhedgul .gt_indent_1 {
+#gwtmxmdwas .gt_indent_1 {
   text-indent: 5px;
 }
 
-#mopuhedgul .gt_indent_2 {
+#gwtmxmdwas .gt_indent_2 {
   text-indent: 10px;
 }
 
-#mopuhedgul .gt_indent_3 {
+#gwtmxmdwas .gt_indent_3 {
   text-indent: 15px;
 }
 
-#mopuhedgul .gt_indent_4 {
+#gwtmxmdwas .gt_indent_4 {
   text-indent: 20px;
 }
 
-#mopuhedgul .gt_indent_5 {
+#gwtmxmdwas .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -16127,23 +16127,23 @@ <h2 class="page-header">Sample</h2>
 <div class="section-items">
 <div class="row spacing">
 <div id="sample-container" class="col-sm-12">
-<div id="hkkltbkozl" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#hkkltbkozl table {
+<div id="isonfnujya" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#isonfnujya table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#hkkltbkozl thead, #hkkltbkozl tbody, #hkkltbkozl tfoot, #hkkltbkozl tr, #hkkltbkozl td, #hkkltbkozl th {
+#isonfnujya thead, #isonfnujya tbody, #isonfnujya tfoot, #isonfnujya tr, #isonfnujya td, #isonfnujya th {
   border-style: none;
 }
 
-#hkkltbkozl p {
+#isonfnujya p {
   margin: 0;
   padding: 0;
 }
 
-#hkkltbkozl .gt_table {
+#isonfnujya .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -16169,12 +16169,12 @@ <h2 class="page-header">Sample</h2>
   border-left-color: #D3D3D3;
 }
 
-#hkkltbkozl .gt_caption {
+#isonfnujya .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#hkkltbkozl .gt_title {
+#isonfnujya .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -16186,7 +16186,7 @@ <h2 class="page-header">Sample</h2>
   border-bottom-width: 0;
 }
 
-#hkkltbkozl .gt_subtitle {
+#isonfnujya .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -16198,7 +16198,7 @@ <h2 class="page-header">Sample</h2>
   border-top-width: 0;
 }
 
-#hkkltbkozl .gt_heading {
+#isonfnujya .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -16210,13 +16210,13 @@ <h2 class="page-header">Sample</h2>
   border-right-color: #D3D3D3;
 }
 
-#hkkltbkozl .gt_bottom_border {
+#isonfnujya .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#hkkltbkozl .gt_col_headings {
+#isonfnujya .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -16231,7 +16231,7 @@ <h2 class="page-header">Sample</h2>
   border-right-color: #D3D3D3;
 }
 
-#hkkltbkozl .gt_col_heading {
+#isonfnujya .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -16251,7 +16251,7 @@ <h2 class="page-header">Sample</h2>
   overflow-x: hidden;
 }
 
-#hkkltbkozl .gt_column_spanner_outer {
+#isonfnujya .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -16263,15 +16263,15 @@ <h2 class="page-header">Sample</h2>
   padding-right: 4px;
 }
 
-#hkkltbkozl .gt_column_spanner_outer:first-child {
+#isonfnujya .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#hkkltbkozl .gt_column_spanner_outer:last-child {
+#isonfnujya .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#hkkltbkozl .gt_column_spanner {
+#isonfnujya .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -16283,11 +16283,11 @@ <h2 class="page-header">Sample</h2>
   width: 100%;
 }
 
-#hkkltbkozl .gt_spanner_row {
+#isonfnujya .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#hkkltbkozl .gt_group_heading {
+#isonfnujya .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -16313,7 +16313,7 @@ <h2 class="page-header">Sample</h2>
   text-align: left;
 }
 
-#hkkltbkozl .gt_empty_group_heading {
+#isonfnujya .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -16328,15 +16328,15 @@ <h2 class="page-header">Sample</h2>
   vertical-align: middle;
 }
 
-#hkkltbkozl .gt_from_md > :first-child {
+#isonfnujya .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#hkkltbkozl .gt_from_md > :last-child {
+#isonfnujya .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#hkkltbkozl .gt_row {
+#isonfnujya .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -16355,7 +16355,7 @@ <h2 class="page-header">Sample</h2>
   overflow-x: hidden;
 }
 
-#hkkltbkozl .gt_stub {
+#isonfnujya .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -16368,7 +16368,7 @@ <h2 class="page-header">Sample</h2>
   padding-right: 5px;
 }
 
-#hkkltbkozl .gt_stub_row_group {
+#isonfnujya .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -16382,15 +16382,15 @@ <h2 class="page-header">Sample</h2>
   vertical-align: top;
 }
 
-#hkkltbkozl .gt_row_group_first td {
+#isonfnujya .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#hkkltbkozl .gt_row_group_first th {
+#isonfnujya .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#hkkltbkozl .gt_summary_row {
+#isonfnujya .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -16400,16 +16400,16 @@ <h2 class="page-header">Sample</h2>
   padding-right: 5px;
 }
 
-#hkkltbkozl .gt_first_summary_row {
+#isonfnujya .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#hkkltbkozl .gt_first_summary_row.thick {
+#isonfnujya .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#hkkltbkozl .gt_last_summary_row {
+#isonfnujya .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -16419,7 +16419,7 @@ <h2 class="page-header">Sample</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#hkkltbkozl .gt_grand_summary_row {
+#isonfnujya .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -16429,7 +16429,7 @@ <h2 class="page-header">Sample</h2>
   padding-right: 5px;
 }
 
-#hkkltbkozl .gt_first_grand_summary_row {
+#isonfnujya .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -16439,7 +16439,7 @@ <h2 class="page-header">Sample</h2>
   border-top-color: #D3D3D3;
 }
 
-#hkkltbkozl .gt_last_grand_summary_row_top {
+#isonfnujya .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -16449,11 +16449,11 @@ <h2 class="page-header">Sample</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#hkkltbkozl .gt_striped {
+#isonfnujya .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#hkkltbkozl .gt_table_body {
+#isonfnujya .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -16462,7 +16462,7 @@ <h2 class="page-header">Sample</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#hkkltbkozl .gt_footnotes {
+#isonfnujya .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -16476,7 +16476,7 @@ <h2 class="page-header">Sample</h2>
   border-right-color: #D3D3D3;
 }
 
-#hkkltbkozl .gt_footnote {
+#isonfnujya .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -16485,7 +16485,7 @@ <h2 class="page-header">Sample</h2>
   padding-right: 5px;
 }
 
-#hkkltbkozl .gt_sourcenotes {
+#isonfnujya .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -16499,7 +16499,7 @@ <h2 class="page-header">Sample</h2>
   border-right-color: #D3D3D3;
 }
 
-#hkkltbkozl .gt_sourcenote {
+#isonfnujya .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -16507,63 +16507,63 @@ <h2 class="page-header">Sample</h2>
   padding-right: 5px;
 }
 
-#hkkltbkozl .gt_left {
+#isonfnujya .gt_left {
   text-align: left;
 }
 
-#hkkltbkozl .gt_center {
+#isonfnujya .gt_center {
   text-align: center;
 }
 
-#hkkltbkozl .gt_right {
+#isonfnujya .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#hkkltbkozl .gt_font_normal {
+#isonfnujya .gt_font_normal {
   font-weight: normal;
 }
 
-#hkkltbkozl .gt_font_bold {
+#isonfnujya .gt_font_bold {
   font-weight: bold;
 }
 
-#hkkltbkozl .gt_font_italic {
+#isonfnujya .gt_font_italic {
   font-style: italic;
 }
 
-#hkkltbkozl .gt_super {
+#isonfnujya .gt_super {
   font-size: 65%;
 }
 
-#hkkltbkozl .gt_footnote_marks {
+#isonfnujya .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#hkkltbkozl .gt_asterisk {
+#isonfnujya .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#hkkltbkozl .gt_indent_1 {
+#isonfnujya .gt_indent_1 {
   text-indent: 5px;
 }
 
-#hkkltbkozl .gt_indent_2 {
+#isonfnujya .gt_indent_2 {
   text-indent: 10px;
 }
 
-#hkkltbkozl .gt_indent_3 {
+#isonfnujya .gt_indent_3 {
   text-indent: 15px;
 }
 
-#hkkltbkozl .gt_indent_4 {
+#isonfnujya .gt_indent_4 {
   text-indent: 20px;
 }
 
-#hkkltbkozl .gt_indent_5 {
+#isonfnujya .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -17393,33 +17393,33 @@ <h2 class="page-header">Interactions</h2>
 </tbody>
 <tfoot class="gt_sourcenotes"><tr>
 <td class="gt_sourcenote" colspan="1">
-<span style="background-color:#FFF;color:#444;padding:0.5em 0.5em;position:inherit;text-transform:uppercase;margin-left:10px;border:solid 1px #999999;font-variant-numeric:tabular-nums;border-radius:0;padding:2px 10px 2px 10px;padding:2px 10px 2px 10px;">2024-02-09 14:27:23 UTC</span>
+<span style="background-color:#FFF;color:#444;padding:0.5em 0.5em;position:inherit;text-transform:uppercase;margin-left:10px;border:solid 1px #999999;font-variant-numeric:tabular-nums;border-radius:0;padding:2px 10px 2px 10px;padding:2px 10px 2px 10px;">2024-02-10 07:09:55 UTC</span>
 <span style="background-color:#FFF;color:#444;padding:0.5em 0.5em;position:inherit;margin:5px 1px 5px 0;border:solid 1px #999999;font-variant-numeric:tabular-nums;border-radius:0;padding:2px 10px 2px 10px;">&lt; 1 s</span>
-<span style="background-color:#FFF;color:#444;padding:0.5em 0.5em;position:inherit;text-transform:uppercase;margin:5px 1px 5px -1px;border:solid 1px #999999;font-variant-numeric:tabular-nums;border-radius:0;padding:2px 10px 2px 10px;">2024-02-09 14:27:24 UTC</span>
+<span style="background-color:#FFF;color:#444;padding:0.5em 0.5em;position:inherit;text-transform:uppercase;margin:5px 1px 5px -1px;border:solid 1px #999999;font-variant-numeric:tabular-nums;border-radius:0;padding:2px 10px 2px 10px;">2024-02-10 07:09:55 UTC</span>
 </td>
     </tr></tfoot>
 </table>
 </div>
 <div class="sourceCode" id="cb9"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu">gtExtras</span><span class="fu">::</span><span class="fu"><a href="https://jthomasmock.github.io/gtExtras/reference/gt_plt_summary.html" class="external-link">gt_plt_summary</a></span><span class="op">(</span><span class="va">sam_tab</span><span class="op">)</span></span></code></pre></div>
-<div id="whwbojmhyw" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<div id="ptlqnopifr" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
 <style>@import url("https://fonts.googleapis.com/css2?family=Lato:ital,wght@0,100;0,200;0,300;0,400;0,500;0,600;0,700;0,800;0,900;1,100;1,200;1,300;1,400;1,500;1,600;1,700;1,800;1,900&display=swap");
-#whwbojmhyw table {
+#ptlqnopifr table {
   font-family: Lato, system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#whwbojmhyw thead, #whwbojmhyw tbody, #whwbojmhyw tfoot, #whwbojmhyw tr, #whwbojmhyw td, #whwbojmhyw th {
+#ptlqnopifr thead, #ptlqnopifr tbody, #ptlqnopifr tfoot, #ptlqnopifr tr, #ptlqnopifr td, #ptlqnopifr th {
   border-style: none;
 }
 
-#whwbojmhyw p {
+#ptlqnopifr p {
   margin: 0;
   padding: 0;
 }
 
-#whwbojmhyw .gt_table {
+#ptlqnopifr .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -17445,12 +17445,12 @@ <h2 class="page-header">Interactions</h2>
   border-left-color: #D3D3D3;
 }
 
-#whwbojmhyw .gt_caption {
+#ptlqnopifr .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#whwbojmhyw .gt_title {
+#ptlqnopifr .gt_title {
   color: #333333;
   font-size: 24px;
   font-weight: initial;
@@ -17462,7 +17462,7 @@ <h2 class="page-header">Interactions</h2>
   border-bottom-width: 0;
 }
 
-#whwbojmhyw .gt_subtitle {
+#ptlqnopifr .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -17474,7 +17474,7 @@ <h2 class="page-header">Interactions</h2>
   border-top-width: 0;
 }
 
-#whwbojmhyw .gt_heading {
+#ptlqnopifr .gt_heading {
   background-color: #FFFFFF;
   text-align: left;
   border-bottom-color: #FFFFFF;
@@ -17486,13 +17486,13 @@ <h2 class="page-header">Interactions</h2>
   border-right-color: #D3D3D3;
 }
 
-#whwbojmhyw .gt_bottom_border {
+#ptlqnopifr .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 0px;
   border-bottom-color: #D3D3D3;
 }
 
-#whwbojmhyw .gt_col_headings {
+#ptlqnopifr .gt_col_headings {
   border-top-style: solid;
   border-top-width: 0px;
   border-top-color: #D3D3D3;
@@ -17507,7 +17507,7 @@ <h2 class="page-header">Interactions</h2>
   border-right-color: #D3D3D3;
 }
 
-#whwbojmhyw .gt_col_heading {
+#ptlqnopifr .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 80%;
@@ -17527,7 +17527,7 @@ <h2 class="page-header">Interactions</h2>
   overflow-x: hidden;
 }
 
-#whwbojmhyw .gt_column_spanner_outer {
+#ptlqnopifr .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 80%;
@@ -17539,15 +17539,15 @@ <h2 class="page-header">Interactions</h2>
   padding-right: 4px;
 }
 
-#whwbojmhyw .gt_column_spanner_outer:first-child {
+#ptlqnopifr .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#whwbojmhyw .gt_column_spanner_outer:last-child {
+#ptlqnopifr .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#whwbojmhyw .gt_column_spanner {
+#ptlqnopifr .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -17559,11 +17559,11 @@ <h2 class="page-header">Interactions</h2>
   width: 100%;
 }
 
-#whwbojmhyw .gt_spanner_row {
+#ptlqnopifr .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#whwbojmhyw .gt_group_heading {
+#ptlqnopifr .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -17589,7 +17589,7 @@ <h2 class="page-header">Interactions</h2>
   text-align: left;
 }
 
-#whwbojmhyw .gt_empty_group_heading {
+#ptlqnopifr .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -17604,15 +17604,15 @@ <h2 class="page-header">Interactions</h2>
   vertical-align: middle;
 }
 
-#whwbojmhyw .gt_from_md > :first-child {
+#ptlqnopifr .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#whwbojmhyw .gt_from_md > :last-child {
+#ptlqnopifr .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#whwbojmhyw .gt_row {
+#ptlqnopifr .gt_row {
   padding-top: 7px;
   padding-bottom: 7px;
   padding-left: 5px;
@@ -17631,7 +17631,7 @@ <h2 class="page-header">Interactions</h2>
   overflow-x: hidden;
 }
 
-#whwbojmhyw .gt_stub {
+#ptlqnopifr .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 80%;
@@ -17644,7 +17644,7 @@ <h2 class="page-header">Interactions</h2>
   padding-right: 5px;
 }
 
-#whwbojmhyw .gt_stub_row_group {
+#ptlqnopifr .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -17658,15 +17658,15 @@ <h2 class="page-header">Interactions</h2>
   vertical-align: top;
 }
 
-#whwbojmhyw .gt_row_group_first td {
+#ptlqnopifr .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#whwbojmhyw .gt_row_group_first th {
+#ptlqnopifr .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#whwbojmhyw .gt_summary_row {
+#ptlqnopifr .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -17676,16 +17676,16 @@ <h2 class="page-header">Interactions</h2>
   padding-right: 5px;
 }
 
-#whwbojmhyw .gt_first_summary_row {
+#ptlqnopifr .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#whwbojmhyw .gt_first_summary_row.thick {
+#ptlqnopifr .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#whwbojmhyw .gt_last_summary_row {
+#ptlqnopifr .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -17695,7 +17695,7 @@ <h2 class="page-header">Interactions</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#whwbojmhyw .gt_grand_summary_row {
+#ptlqnopifr .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -17705,7 +17705,7 @@ <h2 class="page-header">Interactions</h2>
   padding-right: 5px;
 }
 
-#whwbojmhyw .gt_first_grand_summary_row {
+#ptlqnopifr .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -17715,7 +17715,7 @@ <h2 class="page-header">Interactions</h2>
   border-top-color: #D3D3D3;
 }
 
-#whwbojmhyw .gt_last_grand_summary_row_top {
+#ptlqnopifr .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -17725,11 +17725,11 @@ <h2 class="page-header">Interactions</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#whwbojmhyw .gt_striped {
+#ptlqnopifr .gt_striped {
   background-color: #FAFAFA;
 }
 
-#whwbojmhyw .gt_table_body {
+#ptlqnopifr .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -17738,7 +17738,7 @@ <h2 class="page-header">Interactions</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#whwbojmhyw .gt_footnotes {
+#ptlqnopifr .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -17752,7 +17752,7 @@ <h2 class="page-header">Interactions</h2>
   border-right-color: #D3D3D3;
 }
 
-#whwbojmhyw .gt_footnote {
+#ptlqnopifr .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -17761,7 +17761,7 @@ <h2 class="page-header">Interactions</h2>
   padding-right: 5px;
 }
 
-#whwbojmhyw .gt_sourcenotes {
+#ptlqnopifr .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -17775,7 +17775,7 @@ <h2 class="page-header">Interactions</h2>
   border-right-color: #D3D3D3;
 }
 
-#whwbojmhyw .gt_sourcenote {
+#ptlqnopifr .gt_sourcenote {
   font-size: 12px;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -17783,63 +17783,63 @@ <h2 class="page-header">Interactions</h2>
   padding-right: 5px;
 }
 
-#whwbojmhyw .gt_left {
+#ptlqnopifr .gt_left {
   text-align: left;
 }
 
-#whwbojmhyw .gt_center {
+#ptlqnopifr .gt_center {
   text-align: center;
 }
 
-#whwbojmhyw .gt_right {
+#ptlqnopifr .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#whwbojmhyw .gt_font_normal {
+#ptlqnopifr .gt_font_normal {
   font-weight: normal;
 }
 
-#whwbojmhyw .gt_font_bold {
+#ptlqnopifr .gt_font_bold {
   font-weight: bold;
 }
 
-#whwbojmhyw .gt_font_italic {
+#ptlqnopifr .gt_font_italic {
   font-style: italic;
 }
 
-#whwbojmhyw .gt_super {
+#ptlqnopifr .gt_super {
   font-size: 65%;
 }
 
-#whwbojmhyw .gt_footnote_marks {
+#ptlqnopifr .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#whwbojmhyw .gt_asterisk {
+#ptlqnopifr .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#whwbojmhyw .gt_indent_1 {
+#ptlqnopifr .gt_indent_1 {
   text-indent: 5px;
 }
 
-#whwbojmhyw .gt_indent_2 {
+#ptlqnopifr .gt_indent_2 {
   text-indent: 10px;
 }
 
-#whwbojmhyw .gt_indent_3 {
+#ptlqnopifr .gt_indent_3 {
   text-indent: 15px;
 }
 
-#whwbojmhyw .gt_indent_4 {
+#ptlqnopifr .gt_indent_4 {
   text-indent: 20px;
 }
 
-#whwbojmhyw .gt_indent_5 {
+#ptlqnopifr .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -18590,23 +18590,23 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
 <div role="tabpanel" class="tab-pane col-sm-12 active" id="overview-dataset_overview">
 <div class="col-sm-6">
 <p class="h4">Table Overview</p>
-<div id="smjmaoqbnp" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#smjmaoqbnp table {
+<div id="mbnpvfxmgh" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#mbnpvfxmgh table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#smjmaoqbnp thead, #smjmaoqbnp tbody, #smjmaoqbnp tfoot, #smjmaoqbnp tr, #smjmaoqbnp td, #smjmaoqbnp th {
+#mbnpvfxmgh thead, #mbnpvfxmgh tbody, #mbnpvfxmgh tfoot, #mbnpvfxmgh tr, #mbnpvfxmgh td, #mbnpvfxmgh th {
   border-style: none;
 }
 
-#smjmaoqbnp p {
+#mbnpvfxmgh p {
   margin: 0;
   padding: 0;
 }
 
-#smjmaoqbnp .gt_table {
+#mbnpvfxmgh .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -18632,12 +18632,12 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   border-left-color: #D3D3D3;
 }
 
-#smjmaoqbnp .gt_caption {
+#mbnpvfxmgh .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#smjmaoqbnp .gt_title {
+#mbnpvfxmgh .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -18649,7 +18649,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   border-bottom-width: 0;
 }
 
-#smjmaoqbnp .gt_subtitle {
+#mbnpvfxmgh .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -18661,7 +18661,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   border-top-width: 0;
 }
 
-#smjmaoqbnp .gt_heading {
+#mbnpvfxmgh .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -18673,13 +18673,13 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   border-right-color: #D3D3D3;
 }
 
-#smjmaoqbnp .gt_bottom_border {
+#mbnpvfxmgh .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#smjmaoqbnp .gt_col_headings {
+#mbnpvfxmgh .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -18694,7 +18694,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   border-right-color: #D3D3D3;
 }
 
-#smjmaoqbnp .gt_col_heading {
+#mbnpvfxmgh .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -18714,7 +18714,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   overflow-x: hidden;
 }
 
-#smjmaoqbnp .gt_column_spanner_outer {
+#mbnpvfxmgh .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -18726,15 +18726,15 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   padding-right: 4px;
 }
 
-#smjmaoqbnp .gt_column_spanner_outer:first-child {
+#mbnpvfxmgh .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#smjmaoqbnp .gt_column_spanner_outer:last-child {
+#mbnpvfxmgh .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#smjmaoqbnp .gt_column_spanner {
+#mbnpvfxmgh .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -18746,11 +18746,11 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   width: 100%;
 }
 
-#smjmaoqbnp .gt_spanner_row {
+#mbnpvfxmgh .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#smjmaoqbnp .gt_group_heading {
+#mbnpvfxmgh .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -18776,7 +18776,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   text-align: left;
 }
 
-#smjmaoqbnp .gt_empty_group_heading {
+#mbnpvfxmgh .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -18791,15 +18791,15 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   vertical-align: middle;
 }
 
-#smjmaoqbnp .gt_from_md > :first-child {
+#mbnpvfxmgh .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#smjmaoqbnp .gt_from_md > :last-child {
+#mbnpvfxmgh .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#smjmaoqbnp .gt_row {
+#mbnpvfxmgh .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -18818,7 +18818,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   overflow-x: hidden;
 }
 
-#smjmaoqbnp .gt_stub {
+#mbnpvfxmgh .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -18831,7 +18831,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   padding-right: 5px;
 }
 
-#smjmaoqbnp .gt_stub_row_group {
+#mbnpvfxmgh .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -18845,15 +18845,15 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   vertical-align: top;
 }
 
-#smjmaoqbnp .gt_row_group_first td {
+#mbnpvfxmgh .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#smjmaoqbnp .gt_row_group_first th {
+#mbnpvfxmgh .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#smjmaoqbnp .gt_summary_row {
+#mbnpvfxmgh .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -18863,16 +18863,16 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   padding-right: 5px;
 }
 
-#smjmaoqbnp .gt_first_summary_row {
+#mbnpvfxmgh .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#smjmaoqbnp .gt_first_summary_row.thick {
+#mbnpvfxmgh .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#smjmaoqbnp .gt_last_summary_row {
+#mbnpvfxmgh .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -18882,7 +18882,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   border-bottom-color: #D3D3D3;
 }
 
-#smjmaoqbnp .gt_grand_summary_row {
+#mbnpvfxmgh .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -18892,7 +18892,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   padding-right: 5px;
 }
 
-#smjmaoqbnp .gt_first_grand_summary_row {
+#mbnpvfxmgh .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -18902,7 +18902,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   border-top-color: #D3D3D3;
 }
 
-#smjmaoqbnp .gt_last_grand_summary_row_top {
+#mbnpvfxmgh .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -18912,11 +18912,11 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   border-bottom-color: #D3D3D3;
 }
 
-#smjmaoqbnp .gt_striped {
+#mbnpvfxmgh .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#smjmaoqbnp .gt_table_body {
+#mbnpvfxmgh .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -18925,7 +18925,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   border-bottom-color: #D3D3D3;
 }
 
-#smjmaoqbnp .gt_footnotes {
+#mbnpvfxmgh .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -18939,7 +18939,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   border-right-color: #D3D3D3;
 }
 
-#smjmaoqbnp .gt_footnote {
+#mbnpvfxmgh .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -18948,7 +18948,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   padding-right: 5px;
 }
 
-#smjmaoqbnp .gt_sourcenotes {
+#mbnpvfxmgh .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -18962,7 +18962,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   border-right-color: #D3D3D3;
 }
 
-#smjmaoqbnp .gt_sourcenote {
+#mbnpvfxmgh .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -18970,63 +18970,63 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   padding-right: 5px;
 }
 
-#smjmaoqbnp .gt_left {
+#mbnpvfxmgh .gt_left {
   text-align: left;
 }
 
-#smjmaoqbnp .gt_center {
+#mbnpvfxmgh .gt_center {
   text-align: center;
 }
 
-#smjmaoqbnp .gt_right {
+#mbnpvfxmgh .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#smjmaoqbnp .gt_font_normal {
+#mbnpvfxmgh .gt_font_normal {
   font-weight: normal;
 }
 
-#smjmaoqbnp .gt_font_bold {
+#mbnpvfxmgh .gt_font_bold {
   font-weight: bold;
 }
 
-#smjmaoqbnp .gt_font_italic {
+#mbnpvfxmgh .gt_font_italic {
   font-style: italic;
 }
 
-#smjmaoqbnp .gt_super {
+#mbnpvfxmgh .gt_super {
   font-size: 65%;
 }
 
-#smjmaoqbnp .gt_footnote_marks {
+#mbnpvfxmgh .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#smjmaoqbnp .gt_asterisk {
+#mbnpvfxmgh .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#smjmaoqbnp .gt_indent_1 {
+#mbnpvfxmgh .gt_indent_1 {
   text-indent: 5px;
 }
 
-#smjmaoqbnp .gt_indent_2 {
+#mbnpvfxmgh .gt_indent_2 {
   text-indent: 10px;
 }
 
-#smjmaoqbnp .gt_indent_3 {
+#mbnpvfxmgh .gt_indent_3 {
   text-indent: 15px;
 }
 
-#smjmaoqbnp .gt_indent_4 {
+#mbnpvfxmgh .gt_indent_4 {
   text-indent: 20px;
 }
 
-#smjmaoqbnp .gt_indent_5 {
+#mbnpvfxmgh .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -19060,23 +19060,23 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
 </div>
 <div class="col-sm-6">
 <p class="h4">Column Types</p>
-<div id="emynggymbq" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#emynggymbq table {
+<div id="nqndebjxpm" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#nqndebjxpm table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#emynggymbq thead, #emynggymbq tbody, #emynggymbq tfoot, #emynggymbq tr, #emynggymbq td, #emynggymbq th {
+#nqndebjxpm thead, #nqndebjxpm tbody, #nqndebjxpm tfoot, #nqndebjxpm tr, #nqndebjxpm td, #nqndebjxpm th {
   border-style: none;
 }
 
-#emynggymbq p {
+#nqndebjxpm p {
   margin: 0;
   padding: 0;
 }
 
-#emynggymbq .gt_table {
+#nqndebjxpm .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -19102,12 +19102,12 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   border-left-color: #D3D3D3;
 }
 
-#emynggymbq .gt_caption {
+#nqndebjxpm .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#emynggymbq .gt_title {
+#nqndebjxpm .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -19119,7 +19119,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   border-bottom-width: 0;
 }
 
-#emynggymbq .gt_subtitle {
+#nqndebjxpm .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -19131,7 +19131,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   border-top-width: 0;
 }
 
-#emynggymbq .gt_heading {
+#nqndebjxpm .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -19143,13 +19143,13 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   border-right-color: #D3D3D3;
 }
 
-#emynggymbq .gt_bottom_border {
+#nqndebjxpm .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#emynggymbq .gt_col_headings {
+#nqndebjxpm .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -19164,7 +19164,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   border-right-color: #D3D3D3;
 }
 
-#emynggymbq .gt_col_heading {
+#nqndebjxpm .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -19184,7 +19184,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   overflow-x: hidden;
 }
 
-#emynggymbq .gt_column_spanner_outer {
+#nqndebjxpm .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -19196,15 +19196,15 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   padding-right: 4px;
 }
 
-#emynggymbq .gt_column_spanner_outer:first-child {
+#nqndebjxpm .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#emynggymbq .gt_column_spanner_outer:last-child {
+#nqndebjxpm .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#emynggymbq .gt_column_spanner {
+#nqndebjxpm .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -19216,11 +19216,11 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   width: 100%;
 }
 
-#emynggymbq .gt_spanner_row {
+#nqndebjxpm .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#emynggymbq .gt_group_heading {
+#nqndebjxpm .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -19246,7 +19246,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   text-align: left;
 }
 
-#emynggymbq .gt_empty_group_heading {
+#nqndebjxpm .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -19261,15 +19261,15 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   vertical-align: middle;
 }
 
-#emynggymbq .gt_from_md > :first-child {
+#nqndebjxpm .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#emynggymbq .gt_from_md > :last-child {
+#nqndebjxpm .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#emynggymbq .gt_row {
+#nqndebjxpm .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -19288,7 +19288,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   overflow-x: hidden;
 }
 
-#emynggymbq .gt_stub {
+#nqndebjxpm .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -19301,7 +19301,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   padding-right: 5px;
 }
 
-#emynggymbq .gt_stub_row_group {
+#nqndebjxpm .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -19315,15 +19315,15 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   vertical-align: top;
 }
 
-#emynggymbq .gt_row_group_first td {
+#nqndebjxpm .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#emynggymbq .gt_row_group_first th {
+#nqndebjxpm .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#emynggymbq .gt_summary_row {
+#nqndebjxpm .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -19333,16 +19333,16 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   padding-right: 5px;
 }
 
-#emynggymbq .gt_first_summary_row {
+#nqndebjxpm .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#emynggymbq .gt_first_summary_row.thick {
+#nqndebjxpm .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#emynggymbq .gt_last_summary_row {
+#nqndebjxpm .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -19352,7 +19352,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   border-bottom-color: #D3D3D3;
 }
 
-#emynggymbq .gt_grand_summary_row {
+#nqndebjxpm .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -19362,7 +19362,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   padding-right: 5px;
 }
 
-#emynggymbq .gt_first_grand_summary_row {
+#nqndebjxpm .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -19372,7 +19372,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   border-top-color: #D3D3D3;
 }
 
-#emynggymbq .gt_last_grand_summary_row_top {
+#nqndebjxpm .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -19382,11 +19382,11 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   border-bottom-color: #D3D3D3;
 }
 
-#emynggymbq .gt_striped {
+#nqndebjxpm .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#emynggymbq .gt_table_body {
+#nqndebjxpm .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -19395,7 +19395,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   border-bottom-color: #D3D3D3;
 }
 
-#emynggymbq .gt_footnotes {
+#nqndebjxpm .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -19409,7 +19409,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   border-right-color: #D3D3D3;
 }
 
-#emynggymbq .gt_footnote {
+#nqndebjxpm .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -19418,7 +19418,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   padding-right: 5px;
 }
 
-#emynggymbq .gt_sourcenotes {
+#nqndebjxpm .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -19432,7 +19432,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   border-right-color: #D3D3D3;
 }
 
-#emynggymbq .gt_sourcenote {
+#nqndebjxpm .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -19440,63 +19440,63 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   padding-right: 5px;
 }
 
-#emynggymbq .gt_left {
+#nqndebjxpm .gt_left {
   text-align: left;
 }
 
-#emynggymbq .gt_center {
+#nqndebjxpm .gt_center {
   text-align: center;
 }
 
-#emynggymbq .gt_right {
+#nqndebjxpm .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#emynggymbq .gt_font_normal {
+#nqndebjxpm .gt_font_normal {
   font-weight: normal;
 }
 
-#emynggymbq .gt_font_bold {
+#nqndebjxpm .gt_font_bold {
   font-weight: bold;
 }
 
-#emynggymbq .gt_font_italic {
+#nqndebjxpm .gt_font_italic {
   font-style: italic;
 }
 
-#emynggymbq .gt_super {
+#nqndebjxpm .gt_super {
   font-size: 65%;
 }
 
-#emynggymbq .gt_footnote_marks {
+#nqndebjxpm .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#emynggymbq .gt_asterisk {
+#nqndebjxpm .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#emynggymbq .gt_indent_1 {
+#nqndebjxpm .gt_indent_1 {
   text-indent: 5px;
 }
 
-#emynggymbq .gt_indent_2 {
+#nqndebjxpm .gt_indent_2 {
   text-indent: 10px;
 }
 
-#emynggymbq .gt_indent_3 {
+#nqndebjxpm .gt_indent_3 {
   text-indent: 15px;
 }
 
-#emynggymbq .gt_indent_4 {
+#nqndebjxpm .gt_indent_4 {
   text-indent: 20px;
 }
 
-#emynggymbq .gt_indent_5 {
+#nqndebjxpm .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -19510,23 +19510,23 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
 <div role="tabpanel" class="tab-pane col-sm-12" id="overview-reproducibility">
 <div class="col-sm-12">
 <p class="h4">Reproducibility Information</p>
-<div id="ilmjmloadf" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#ilmjmloadf table {
+<div id="obozlepydr" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#obozlepydr table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#ilmjmloadf thead, #ilmjmloadf tbody, #ilmjmloadf tfoot, #ilmjmloadf tr, #ilmjmloadf td, #ilmjmloadf th {
+#obozlepydr thead, #obozlepydr tbody, #obozlepydr tfoot, #obozlepydr tr, #obozlepydr td, #obozlepydr th {
   border-style: none;
 }
 
-#ilmjmloadf p {
+#obozlepydr p {
   margin: 0;
   padding: 0;
 }
 
-#ilmjmloadf .gt_table {
+#obozlepydr .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -19552,12 +19552,12 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   border-left-color: #D3D3D3;
 }
 
-#ilmjmloadf .gt_caption {
+#obozlepydr .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#ilmjmloadf .gt_title {
+#obozlepydr .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -19569,7 +19569,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   border-bottom-width: 0;
 }
 
-#ilmjmloadf .gt_subtitle {
+#obozlepydr .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -19581,7 +19581,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   border-top-width: 0;
 }
 
-#ilmjmloadf .gt_heading {
+#obozlepydr .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -19593,13 +19593,13 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   border-right-color: #D3D3D3;
 }
 
-#ilmjmloadf .gt_bottom_border {
+#obozlepydr .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#ilmjmloadf .gt_col_headings {
+#obozlepydr .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -19614,7 +19614,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   border-right-color: #D3D3D3;
 }
 
-#ilmjmloadf .gt_col_heading {
+#obozlepydr .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -19634,7 +19634,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   overflow-x: hidden;
 }
 
-#ilmjmloadf .gt_column_spanner_outer {
+#obozlepydr .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -19646,15 +19646,15 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   padding-right: 4px;
 }
 
-#ilmjmloadf .gt_column_spanner_outer:first-child {
+#obozlepydr .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#ilmjmloadf .gt_column_spanner_outer:last-child {
+#obozlepydr .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#ilmjmloadf .gt_column_spanner {
+#obozlepydr .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -19666,11 +19666,11 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   width: 100%;
 }
 
-#ilmjmloadf .gt_spanner_row {
+#obozlepydr .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#ilmjmloadf .gt_group_heading {
+#obozlepydr .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -19696,7 +19696,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   text-align: left;
 }
 
-#ilmjmloadf .gt_empty_group_heading {
+#obozlepydr .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -19711,15 +19711,15 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   vertical-align: middle;
 }
 
-#ilmjmloadf .gt_from_md > :first-child {
+#obozlepydr .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#ilmjmloadf .gt_from_md > :last-child {
+#obozlepydr .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#ilmjmloadf .gt_row {
+#obozlepydr .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -19738,7 +19738,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   overflow-x: hidden;
 }
 
-#ilmjmloadf .gt_stub {
+#obozlepydr .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -19751,7 +19751,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   padding-right: 5px;
 }
 
-#ilmjmloadf .gt_stub_row_group {
+#obozlepydr .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -19765,15 +19765,15 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   vertical-align: top;
 }
 
-#ilmjmloadf .gt_row_group_first td {
+#obozlepydr .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#ilmjmloadf .gt_row_group_first th {
+#obozlepydr .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#ilmjmloadf .gt_summary_row {
+#obozlepydr .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -19783,16 +19783,16 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   padding-right: 5px;
 }
 
-#ilmjmloadf .gt_first_summary_row {
+#obozlepydr .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#ilmjmloadf .gt_first_summary_row.thick {
+#obozlepydr .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#ilmjmloadf .gt_last_summary_row {
+#obozlepydr .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -19802,7 +19802,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   border-bottom-color: #D3D3D3;
 }
 
-#ilmjmloadf .gt_grand_summary_row {
+#obozlepydr .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -19812,7 +19812,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   padding-right: 5px;
 }
 
-#ilmjmloadf .gt_first_grand_summary_row {
+#obozlepydr .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -19822,7 +19822,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   border-top-color: #D3D3D3;
 }
 
-#ilmjmloadf .gt_last_grand_summary_row_top {
+#obozlepydr .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -19832,11 +19832,11 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   border-bottom-color: #D3D3D3;
 }
 
-#ilmjmloadf .gt_striped {
+#obozlepydr .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#ilmjmloadf .gt_table_body {
+#obozlepydr .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -19845,7 +19845,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   border-bottom-color: #D3D3D3;
 }
 
-#ilmjmloadf .gt_footnotes {
+#obozlepydr .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -19859,7 +19859,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   border-right-color: #D3D3D3;
 }
 
-#ilmjmloadf .gt_footnote {
+#obozlepydr .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -19868,7 +19868,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   padding-right: 5px;
 }
 
-#ilmjmloadf .gt_sourcenotes {
+#obozlepydr .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -19882,7 +19882,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   border-right-color: #D3D3D3;
 }
 
-#ilmjmloadf .gt_sourcenote {
+#obozlepydr .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -19890,63 +19890,63 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
   padding-right: 5px;
 }
 
-#ilmjmloadf .gt_left {
+#obozlepydr .gt_left {
   text-align: left;
 }
 
-#ilmjmloadf .gt_center {
+#obozlepydr .gt_center {
   text-align: center;
 }
 
-#ilmjmloadf .gt_right {
+#obozlepydr .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#ilmjmloadf .gt_font_normal {
+#obozlepydr .gt_font_normal {
   font-weight: normal;
 }
 
-#ilmjmloadf .gt_font_bold {
+#obozlepydr .gt_font_bold {
   font-weight: bold;
 }
 
-#ilmjmloadf .gt_font_italic {
+#obozlepydr .gt_font_italic {
   font-style: italic;
 }
 
-#ilmjmloadf .gt_super {
+#obozlepydr .gt_super {
   font-size: 65%;
 }
 
-#ilmjmloadf .gt_footnote_marks {
+#obozlepydr .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#ilmjmloadf .gt_asterisk {
+#obozlepydr .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#ilmjmloadf .gt_indent_1 {
+#obozlepydr .gt_indent_1 {
   text-indent: 5px;
 }
 
-#ilmjmloadf .gt_indent_2 {
+#obozlepydr .gt_indent_2 {
   text-indent: 10px;
 }
 
-#ilmjmloadf .gt_indent_3 {
+#obozlepydr .gt_indent_3 {
   text-indent: 15px;
 }
 
-#ilmjmloadf .gt_indent_4 {
+#obozlepydr .gt_indent_4 {
   text-indent: 20px;
 }
 
-#ilmjmloadf .gt_indent_5 {
+#obozlepydr .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -19956,7 +19956,7 @@ <h2 class="page-header">Overview of <code>tax_tab</code>
 <p>Scan Build Time</p>
 </div></td>
 <td headers="value" class="gt_row gt_left"><div class="gt_from_md">
-<p><code>2024-02-09 14:27:25</code></p>
+<p><code>2024-02-10 07:09:57</code></p>
 </div></td>
 </tr>
 <tr>
@@ -19996,11 +19996,11 @@ <h2 class="page-header">Variables</h2>
 </div>
 <div class="section-items">
 <div class="row spacing">
-<a class="anchor-pos anchor-pos-variable" id="pp_var_scwpaqqxce">
+<a class="anchor-pos anchor-pos-variable" id="pp_var_vbdrdzbgok">
 <div class="variable">
 <div class="col-sm-3">
 <p class="h4" style="margin-bottom:0;margin-top:-2px;" title="Domain">
-<a href="#pp_var_scwpaqqxce">
+<a href="#pp_var_vbdrdzbgok">
 Domain
 <br><small style="margin-top:0;">
 <code>character</code>
@@ -20009,23 +20009,23 @@ <h2 class="page-header">Variables</h2>
 </p>
 </div>
 <div class="col-sm-5">
-<div id="rhgiltwzyq" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#rhgiltwzyq table {
+<div id="kxkiqmedzr" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#kxkiqmedzr table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#rhgiltwzyq thead, #rhgiltwzyq tbody, #rhgiltwzyq tfoot, #rhgiltwzyq tr, #rhgiltwzyq td, #rhgiltwzyq th {
+#kxkiqmedzr thead, #kxkiqmedzr tbody, #kxkiqmedzr tfoot, #kxkiqmedzr tr, #kxkiqmedzr td, #kxkiqmedzr th {
   border-style: none;
 }
 
-#rhgiltwzyq p {
+#kxkiqmedzr p {
   margin: 0;
   padding: 0;
 }
 
-#rhgiltwzyq .gt_table {
+#kxkiqmedzr .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -20051,12 +20051,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#rhgiltwzyq .gt_caption {
+#kxkiqmedzr .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#rhgiltwzyq .gt_title {
+#kxkiqmedzr .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -20068,7 +20068,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#rhgiltwzyq .gt_subtitle {
+#kxkiqmedzr .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -20080,7 +20080,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#rhgiltwzyq .gt_heading {
+#kxkiqmedzr .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -20092,13 +20092,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#rhgiltwzyq .gt_bottom_border {
+#kxkiqmedzr .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#rhgiltwzyq .gt_col_headings {
+#kxkiqmedzr .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -20113,7 +20113,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#rhgiltwzyq .gt_col_heading {
+#kxkiqmedzr .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -20133,7 +20133,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#rhgiltwzyq .gt_column_spanner_outer {
+#kxkiqmedzr .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -20145,15 +20145,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#rhgiltwzyq .gt_column_spanner_outer:first-child {
+#kxkiqmedzr .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#rhgiltwzyq .gt_column_spanner_outer:last-child {
+#kxkiqmedzr .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#rhgiltwzyq .gt_column_spanner {
+#kxkiqmedzr .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -20165,11 +20165,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#rhgiltwzyq .gt_spanner_row {
+#kxkiqmedzr .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#rhgiltwzyq .gt_group_heading {
+#kxkiqmedzr .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -20195,7 +20195,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#rhgiltwzyq .gt_empty_group_heading {
+#kxkiqmedzr .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -20210,15 +20210,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#rhgiltwzyq .gt_from_md > :first-child {
+#kxkiqmedzr .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#rhgiltwzyq .gt_from_md > :last-child {
+#kxkiqmedzr .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#rhgiltwzyq .gt_row {
+#kxkiqmedzr .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -20237,7 +20237,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#rhgiltwzyq .gt_stub {
+#kxkiqmedzr .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -20250,7 +20250,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#rhgiltwzyq .gt_stub_row_group {
+#kxkiqmedzr .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -20264,15 +20264,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#rhgiltwzyq .gt_row_group_first td {
+#kxkiqmedzr .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#rhgiltwzyq .gt_row_group_first th {
+#kxkiqmedzr .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#rhgiltwzyq .gt_summary_row {
+#kxkiqmedzr .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -20282,16 +20282,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#rhgiltwzyq .gt_first_summary_row {
+#kxkiqmedzr .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#rhgiltwzyq .gt_first_summary_row.thick {
+#kxkiqmedzr .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#rhgiltwzyq .gt_last_summary_row {
+#kxkiqmedzr .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -20301,7 +20301,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#rhgiltwzyq .gt_grand_summary_row {
+#kxkiqmedzr .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -20311,7 +20311,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#rhgiltwzyq .gt_first_grand_summary_row {
+#kxkiqmedzr .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -20321,7 +20321,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#rhgiltwzyq .gt_last_grand_summary_row_top {
+#kxkiqmedzr .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -20331,11 +20331,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#rhgiltwzyq .gt_striped {
+#kxkiqmedzr .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#rhgiltwzyq .gt_table_body {
+#kxkiqmedzr .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -20344,7 +20344,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#rhgiltwzyq .gt_footnotes {
+#kxkiqmedzr .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -20358,7 +20358,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#rhgiltwzyq .gt_footnote {
+#kxkiqmedzr .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -20367,7 +20367,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#rhgiltwzyq .gt_sourcenotes {
+#kxkiqmedzr .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -20381,7 +20381,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#rhgiltwzyq .gt_sourcenote {
+#kxkiqmedzr .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -20389,63 +20389,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#rhgiltwzyq .gt_left {
+#kxkiqmedzr .gt_left {
   text-align: left;
 }
 
-#rhgiltwzyq .gt_center {
+#kxkiqmedzr .gt_center {
   text-align: center;
 }
 
-#rhgiltwzyq .gt_right {
+#kxkiqmedzr .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#rhgiltwzyq .gt_font_normal {
+#kxkiqmedzr .gt_font_normal {
   font-weight: normal;
 }
 
-#rhgiltwzyq .gt_font_bold {
+#kxkiqmedzr .gt_font_bold {
   font-weight: bold;
 }
 
-#rhgiltwzyq .gt_font_italic {
+#kxkiqmedzr .gt_font_italic {
   font-style: italic;
 }
 
-#rhgiltwzyq .gt_super {
+#kxkiqmedzr .gt_super {
   font-size: 65%;
 }
 
-#rhgiltwzyq .gt_footnote_marks {
+#kxkiqmedzr .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#rhgiltwzyq .gt_asterisk {
+#kxkiqmedzr .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#rhgiltwzyq .gt_indent_1 {
+#kxkiqmedzr .gt_indent_1 {
   text-indent: 5px;
 }
 
-#rhgiltwzyq .gt_indent_2 {
+#kxkiqmedzr .gt_indent_2 {
   text-indent: 10px;
 }
 
-#rhgiltwzyq .gt_indent_3 {
+#kxkiqmedzr .gt_indent_3 {
   text-indent: 15px;
 }
 
-#rhgiltwzyq .gt_indent_4 {
+#kxkiqmedzr .gt_indent_4 {
   text-indent: 20px;
 }
 
-#rhgiltwzyq .gt_indent_5 {
+#kxkiqmedzr .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -20473,39 +20473,39 @@ <h2 class="page-header">Variables</h2>
 </div>
 <div class="col-sm-4"> </div>
 <div class="col-sm-12 text-left">
-<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-scwpaqqxce, #minifreqtablescwpaqqxce" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
+<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-vbdrdzbgok, #minifreqtablevbdrdzbgok" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
 </div>
-<div id="bottom-scwpaqqxce" class="collapse" aria-expanded="false" style="height: 5px;">
+<div id="bottom-vbdrdzbgok" class="collapse" aria-expanded="false" style="height: 5px;">
 <div class="row spacing">
 <ul class="nav nav-tabs" role="tablist">
 <li role="presentation" class="active" style="padding-top: 5px;">
-<a href="#scwpaqqxcebottom-scwpaqqxcecommon_values" aria-controls="scwpaqqxcebottom-scwpaqqxcecommon_values" role="tab" data-toggle="tab">Common Values</a>
+<a href="#vbdrdzbgokbottom-vbdrdzbgokcommon_values" aria-controls="vbdrdzbgokbottom-vbdrdzbgokcommon_values" role="tab" data-toggle="tab">Common Values</a>
 </li>
 <li role="presentation" class="" style="padding-top: 5px;">
-<a href="#scwpaqqxcebottom-scwpaqqxcelengths" aria-controls="scwpaqqxcebottom-scwpaqqxcelengths" role="tab" data-toggle="tab">String Lengths</a>
+<a href="#vbdrdzbgokbottom-vbdrdzbgoklengths" aria-controls="vbdrdzbgokbottom-vbdrdzbgoklengths" role="tab" data-toggle="tab">String Lengths</a>
 </li>
 </ul>
 <div class="tab-content">
-<div role="tabpanel" class="tab-pane col-sm-12 active" id="scwpaqqxcebottom-scwpaqqxcecommon_values">
+<div role="tabpanel" class="tab-pane col-sm-12 active" id="vbdrdzbgokbottom-vbdrdzbgokcommon_values">
 <div class="col-sm-12">
 <p class="h4"></p>
-<div id="fmguztiutx" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#fmguztiutx table {
+<div id="taivjzgysv" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#taivjzgysv table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#fmguztiutx thead, #fmguztiutx tbody, #fmguztiutx tfoot, #fmguztiutx tr, #fmguztiutx td, #fmguztiutx th {
+#taivjzgysv thead, #taivjzgysv tbody, #taivjzgysv tfoot, #taivjzgysv tr, #taivjzgysv td, #taivjzgysv th {
   border-style: none;
 }
 
-#fmguztiutx p {
+#taivjzgysv p {
   margin: 0;
   padding: 0;
 }
 
-#fmguztiutx .gt_table {
+#taivjzgysv .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -20531,12 +20531,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#fmguztiutx .gt_caption {
+#taivjzgysv .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#fmguztiutx .gt_title {
+#taivjzgysv .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -20548,7 +20548,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#fmguztiutx .gt_subtitle {
+#taivjzgysv .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -20560,7 +20560,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#fmguztiutx .gt_heading {
+#taivjzgysv .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -20572,13 +20572,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#fmguztiutx .gt_bottom_border {
+#taivjzgysv .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#fmguztiutx .gt_col_headings {
+#taivjzgysv .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -20593,7 +20593,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#fmguztiutx .gt_col_heading {
+#taivjzgysv .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -20613,7 +20613,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#fmguztiutx .gt_column_spanner_outer {
+#taivjzgysv .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -20625,15 +20625,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#fmguztiutx .gt_column_spanner_outer:first-child {
+#taivjzgysv .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#fmguztiutx .gt_column_spanner_outer:last-child {
+#taivjzgysv .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#fmguztiutx .gt_column_spanner {
+#taivjzgysv .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -20645,11 +20645,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#fmguztiutx .gt_spanner_row {
+#taivjzgysv .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#fmguztiutx .gt_group_heading {
+#taivjzgysv .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -20675,7 +20675,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#fmguztiutx .gt_empty_group_heading {
+#taivjzgysv .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -20690,15 +20690,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#fmguztiutx .gt_from_md > :first-child {
+#taivjzgysv .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#fmguztiutx .gt_from_md > :last-child {
+#taivjzgysv .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#fmguztiutx .gt_row {
+#taivjzgysv .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -20717,7 +20717,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#fmguztiutx .gt_stub {
+#taivjzgysv .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -20730,7 +20730,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#fmguztiutx .gt_stub_row_group {
+#taivjzgysv .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -20744,15 +20744,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#fmguztiutx .gt_row_group_first td {
+#taivjzgysv .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#fmguztiutx .gt_row_group_first th {
+#taivjzgysv .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#fmguztiutx .gt_summary_row {
+#taivjzgysv .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -20762,16 +20762,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#fmguztiutx .gt_first_summary_row {
+#taivjzgysv .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#fmguztiutx .gt_first_summary_row.thick {
+#taivjzgysv .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#fmguztiutx .gt_last_summary_row {
+#taivjzgysv .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -20781,7 +20781,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#fmguztiutx .gt_grand_summary_row {
+#taivjzgysv .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -20791,7 +20791,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#fmguztiutx .gt_first_grand_summary_row {
+#taivjzgysv .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -20801,7 +20801,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#fmguztiutx .gt_last_grand_summary_row_top {
+#taivjzgysv .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -20811,11 +20811,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#fmguztiutx .gt_striped {
+#taivjzgysv .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#fmguztiutx .gt_table_body {
+#taivjzgysv .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -20824,7 +20824,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#fmguztiutx .gt_footnotes {
+#taivjzgysv .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -20838,7 +20838,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#fmguztiutx .gt_footnote {
+#taivjzgysv .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -20847,7 +20847,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#fmguztiutx .gt_sourcenotes {
+#taivjzgysv .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -20861,7 +20861,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#fmguztiutx .gt_sourcenote {
+#taivjzgysv .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -20869,63 +20869,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#fmguztiutx .gt_left {
+#taivjzgysv .gt_left {
   text-align: left;
 }
 
-#fmguztiutx .gt_center {
+#taivjzgysv .gt_center {
   text-align: center;
 }
 
-#fmguztiutx .gt_right {
+#taivjzgysv .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#fmguztiutx .gt_font_normal {
+#taivjzgysv .gt_font_normal {
   font-weight: normal;
 }
 
-#fmguztiutx .gt_font_bold {
+#taivjzgysv .gt_font_bold {
   font-weight: bold;
 }
 
-#fmguztiutx .gt_font_italic {
+#taivjzgysv .gt_font_italic {
   font-style: italic;
 }
 
-#fmguztiutx .gt_super {
+#taivjzgysv .gt_super {
   font-size: 65%;
 }
 
-#fmguztiutx .gt_footnote_marks {
+#taivjzgysv .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#fmguztiutx .gt_asterisk {
+#taivjzgysv .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#fmguztiutx .gt_indent_1 {
+#taivjzgysv .gt_indent_1 {
   text-indent: 5px;
 }
 
-#fmguztiutx .gt_indent_2 {
+#taivjzgysv .gt_indent_2 {
   text-indent: 10px;
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-#fmguztiutx .gt_indent_3 {
+#taivjzgysv .gt_indent_3 {
   text-indent: 15px;
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-#fmguztiutx .gt_indent_4 {
+#taivjzgysv .gt_indent_4 {
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 }
 
-#fmguztiutx .gt_indent_5 {
+#taivjzgysv .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -20953,26 +20953,26 @@ <h2 class="page-header">Variables</h2>
 </div>
 </div>
 </div>
-<div role="tabpanel" class="tab-pane col-sm-12" id="scwpaqqxcebottom-scwpaqqxcelengths">
+<div role="tabpanel" class="tab-pane col-sm-12" id="vbdrdzbgokbottom-vbdrdzbgoklengths">
 <div class="col-sm-4">
 <p class="h4">String Lengths</p>
-<div id="kinvyylgnc" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#kinvyylgnc table {
+<div id="eudhtezafc" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#eudhtezafc table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#kinvyylgnc thead, #kinvyylgnc tbody, #kinvyylgnc tfoot, #kinvyylgnc tr, #kinvyylgnc td, #kinvyylgnc th {
+#eudhtezafc thead, #eudhtezafc tbody, #eudhtezafc tfoot, #eudhtezafc tr, #eudhtezafc td, #eudhtezafc th {
   border-style: none;
 }
 
-#kinvyylgnc p {
+#eudhtezafc p {
   margin: 0;
   padding: 0;
 }
 
-#kinvyylgnc .gt_table {
+#eudhtezafc .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -20998,12 +20998,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#kinvyylgnc .gt_caption {
+#eudhtezafc .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#kinvyylgnc .gt_title {
+#eudhtezafc .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -21015,7 +21015,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#kinvyylgnc .gt_subtitle {
+#eudhtezafc .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -21027,7 +21027,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#kinvyylgnc .gt_heading {
+#eudhtezafc .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -21039,13 +21039,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#kinvyylgnc .gt_bottom_border {
+#eudhtezafc .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#kinvyylgnc .gt_col_headings {
+#eudhtezafc .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -21060,7 +21060,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#kinvyylgnc .gt_col_heading {
+#eudhtezafc .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -21080,7 +21080,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#kinvyylgnc .gt_column_spanner_outer {
+#eudhtezafc .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -21092,15 +21092,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#kinvyylgnc .gt_column_spanner_outer:first-child {
+#eudhtezafc .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#kinvyylgnc .gt_column_spanner_outer:last-child {
+#eudhtezafc .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#kinvyylgnc .gt_column_spanner {
+#eudhtezafc .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -21112,11 +21112,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#kinvyylgnc .gt_spanner_row {
+#eudhtezafc .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#kinvyylgnc .gt_group_heading {
+#eudhtezafc .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -21142,7 +21142,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#kinvyylgnc .gt_empty_group_heading {
+#eudhtezafc .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -21157,15 +21157,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#kinvyylgnc .gt_from_md > :first-child {
+#eudhtezafc .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#kinvyylgnc .gt_from_md > :last-child {
+#eudhtezafc .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#kinvyylgnc .gt_row {
+#eudhtezafc .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -21184,7 +21184,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#kinvyylgnc .gt_stub {
+#eudhtezafc .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -21197,7 +21197,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#kinvyylgnc .gt_stub_row_group {
+#eudhtezafc .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -21211,15 +21211,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#kinvyylgnc .gt_row_group_first td {
+#eudhtezafc .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#kinvyylgnc .gt_row_group_first th {
+#eudhtezafc .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#kinvyylgnc .gt_summary_row {
+#eudhtezafc .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -21229,16 +21229,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#kinvyylgnc .gt_first_summary_row {
+#eudhtezafc .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#kinvyylgnc .gt_first_summary_row.thick {
+#eudhtezafc .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#kinvyylgnc .gt_last_summary_row {
+#eudhtezafc .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -21248,7 +21248,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#kinvyylgnc .gt_grand_summary_row {
+#eudhtezafc .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -21258,7 +21258,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#kinvyylgnc .gt_first_grand_summary_row {
+#eudhtezafc .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -21268,7 +21268,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#kinvyylgnc .gt_last_grand_summary_row_top {
+#eudhtezafc .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -21278,11 +21278,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#kinvyylgnc .gt_striped {
+#eudhtezafc .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#kinvyylgnc .gt_table_body {
+#eudhtezafc .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -21291,7 +21291,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#kinvyylgnc .gt_footnotes {
+#eudhtezafc .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -21305,7 +21305,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#kinvyylgnc .gt_footnote {
+#eudhtezafc .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -21314,7 +21314,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#kinvyylgnc .gt_sourcenotes {
+#eudhtezafc .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -21328,7 +21328,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#kinvyylgnc .gt_sourcenote {
+#eudhtezafc .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -21336,63 +21336,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#kinvyylgnc .gt_left {
+#eudhtezafc .gt_left {
   text-align: left;
 }
 
-#kinvyylgnc .gt_center {
+#eudhtezafc .gt_center {
   text-align: center;
 }
 
-#kinvyylgnc .gt_right {
+#eudhtezafc .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#kinvyylgnc .gt_font_normal {
+#eudhtezafc .gt_font_normal {
   font-weight: normal;
 }
 
-#kinvyylgnc .gt_font_bold {
+#eudhtezafc .gt_font_bold {
   font-weight: bold;
 }
 
-#kinvyylgnc .gt_font_italic {
+#eudhtezafc .gt_font_italic {
   font-style: italic;
 }
 
-#kinvyylgnc .gt_super {
+#eudhtezafc .gt_super {
   font-size: 65%;
 }
 
-#kinvyylgnc .gt_footnote_marks {
+#eudhtezafc .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#kinvyylgnc .gt_asterisk {
+#eudhtezafc .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#kinvyylgnc .gt_indent_1 {
+#eudhtezafc .gt_indent_1 {
   text-indent: 5px;
 }
 
-#kinvyylgnc .gt_indent_2 {
+#eudhtezafc .gt_indent_2 {
   text-indent: 10px;
 }
 
-#kinvyylgnc .gt_indent_3 {
+#eudhtezafc .gt_indent_3 {
   text-indent: 15px;
 }
 
-#kinvyylgnc .gt_indent_4 {
+#eudhtezafc .gt_indent_4 {
   text-indent: 20px;
 }
 
-#kinvyylgnc .gt_indent_5 {
+#eudhtezafc .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -21424,11 +21424,11 @@ <h2 class="page-header">Variables</h2>
 </a>
 </div>
 <div class="row spacing">
-<a class="anchor-pos anchor-pos-variable" id="pp_var_xmxsygykow">
+<a class="anchor-pos anchor-pos-variable" id="pp_var_vbiexvbmyo">
 <div class="variable">
 <div class="col-sm-3">
 <p class="h4" style="margin-bottom:0;margin-top:-2px;" title="Phylum">
-<a href="#pp_var_xmxsygykow">
+<a href="#pp_var_vbiexvbmyo">
 Phylum
 <br><small style="margin-top:0;">
 <code>character</code>
@@ -21437,23 +21437,23 @@ <h2 class="page-header">Variables</h2>
 </p>
 </div>
 <div class="col-sm-5">
-<div id="omqqytcghn" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#omqqytcghn table {
+<div id="yjnltlgeph" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#yjnltlgeph table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#omqqytcghn thead, #omqqytcghn tbody, #omqqytcghn tfoot, #omqqytcghn tr, #omqqytcghn td, #omqqytcghn th {
+#yjnltlgeph thead, #yjnltlgeph tbody, #yjnltlgeph tfoot, #yjnltlgeph tr, #yjnltlgeph td, #yjnltlgeph th {
   border-style: none;
 }
 
-#omqqytcghn p {
+#yjnltlgeph p {
   margin: 0;
   padding: 0;
 }
 
-#omqqytcghn .gt_table {
+#yjnltlgeph .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -21479,12 +21479,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#omqqytcghn .gt_caption {
+#yjnltlgeph .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#omqqytcghn .gt_title {
+#yjnltlgeph .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -21496,7 +21496,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#omqqytcghn .gt_subtitle {
+#yjnltlgeph .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -21508,7 +21508,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#omqqytcghn .gt_heading {
+#yjnltlgeph .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -21520,13 +21520,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#omqqytcghn .gt_bottom_border {
+#yjnltlgeph .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#omqqytcghn .gt_col_headings {
+#yjnltlgeph .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -21541,7 +21541,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#omqqytcghn .gt_col_heading {
+#yjnltlgeph .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -21561,7 +21561,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#omqqytcghn .gt_column_spanner_outer {
+#yjnltlgeph .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -21573,15 +21573,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#omqqytcghn .gt_column_spanner_outer:first-child {
+#yjnltlgeph .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#omqqytcghn .gt_column_spanner_outer:last-child {
+#yjnltlgeph .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#omqqytcghn .gt_column_spanner {
+#yjnltlgeph .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -21593,11 +21593,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#omqqytcghn .gt_spanner_row {
+#yjnltlgeph .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#omqqytcghn .gt_group_heading {
+#yjnltlgeph .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -21623,7 +21623,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#omqqytcghn .gt_empty_group_heading {
+#yjnltlgeph .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -21638,15 +21638,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#omqqytcghn .gt_from_md > :first-child {
+#yjnltlgeph .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#omqqytcghn .gt_from_md > :last-child {
+#yjnltlgeph .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#omqqytcghn .gt_row {
+#yjnltlgeph .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -21665,7 +21665,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#omqqytcghn .gt_stub {
+#yjnltlgeph .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -21678,7 +21678,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#omqqytcghn .gt_stub_row_group {
+#yjnltlgeph .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -21692,15 +21692,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#omqqytcghn .gt_row_group_first td {
+#yjnltlgeph .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#omqqytcghn .gt_row_group_first th {
+#yjnltlgeph .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#omqqytcghn .gt_summary_row {
+#yjnltlgeph .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -21710,16 +21710,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#omqqytcghn .gt_first_summary_row {
+#yjnltlgeph .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#omqqytcghn .gt_first_summary_row.thick {
+#yjnltlgeph .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#omqqytcghn .gt_last_summary_row {
+#yjnltlgeph .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -21729,7 +21729,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#omqqytcghn .gt_grand_summary_row {
+#yjnltlgeph .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -21739,7 +21739,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#omqqytcghn .gt_first_grand_summary_row {
+#yjnltlgeph .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -21749,7 +21749,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#omqqytcghn .gt_last_grand_summary_row_top {
+#yjnltlgeph .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -21759,11 +21759,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#omqqytcghn .gt_striped {
+#yjnltlgeph .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#omqqytcghn .gt_table_body {
+#yjnltlgeph .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -21772,7 +21772,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#omqqytcghn .gt_footnotes {
+#yjnltlgeph .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -21786,7 +21786,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#omqqytcghn .gt_footnote {
+#yjnltlgeph .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -21795,7 +21795,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#omqqytcghn .gt_sourcenotes {
+#yjnltlgeph .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -21809,7 +21809,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#omqqytcghn .gt_sourcenote {
+#yjnltlgeph .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -21817,63 +21817,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#omqqytcghn .gt_left {
+#yjnltlgeph .gt_left {
   text-align: left;
 }
 
-#omqqytcghn .gt_center {
+#yjnltlgeph .gt_center {
   text-align: center;
 }
 
-#omqqytcghn .gt_right {
+#yjnltlgeph .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#omqqytcghn .gt_font_normal {
+#yjnltlgeph .gt_font_normal {
   font-weight: normal;
 }
 
-#omqqytcghn .gt_font_bold {
+#yjnltlgeph .gt_font_bold {
   font-weight: bold;
 }
 
-#omqqytcghn .gt_font_italic {
+#yjnltlgeph .gt_font_italic {
   font-style: italic;
 }
 
-#omqqytcghn .gt_super {
+#yjnltlgeph .gt_super {
   font-size: 65%;
 }
 
-#omqqytcghn .gt_footnote_marks {
+#yjnltlgeph .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#omqqytcghn .gt_asterisk {
+#yjnltlgeph .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#omqqytcghn .gt_indent_1 {
+#yjnltlgeph .gt_indent_1 {
   text-indent: 5px;
 }
 
-#omqqytcghn .gt_indent_2 {
+#yjnltlgeph .gt_indent_2 {
   text-indent: 10px;
 }
 
-#omqqytcghn .gt_indent_3 {
+#yjnltlgeph .gt_indent_3 {
   text-indent: 15px;
 }
 
-#omqqytcghn .gt_indent_4 {
+#yjnltlgeph .gt_indent_4 {
   text-indent: 20px;
 }
 
-#omqqytcghn .gt_indent_5 {
+#yjnltlgeph .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -21901,39 +21901,39 @@ <h2 class="page-header">Variables</h2>
 </div>
 <div class="col-sm-4"> </div>
 <div class="col-sm-12 text-left">
-<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-xmxsygykow, #minifreqtablexmxsygykow" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
+<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-vbiexvbmyo, #minifreqtablevbiexvbmyo" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
 </div>
-<div id="bottom-xmxsygykow" class="collapse" aria-expanded="false" style="height: 5px;">
+<div id="bottom-vbiexvbmyo" class="collapse" aria-expanded="false" style="height: 5px;">
 <div class="row spacing">
 <ul class="nav nav-tabs" role="tablist">
 <li role="presentation" class="active" style="padding-top: 5px;">
-<a href="#xmxsygykowbottom-xmxsygykowcommon_values" aria-controls="xmxsygykowbottom-xmxsygykowcommon_values" role="tab" data-toggle="tab">Common Values</a>
+<a href="#vbiexvbmyobottom-vbiexvbmyocommon_values" aria-controls="vbiexvbmyobottom-vbiexvbmyocommon_values" role="tab" data-toggle="tab">Common Values</a>
 </li>
 <li role="presentation" class="" style="padding-top: 5px;">
-<a href="#xmxsygykowbottom-xmxsygykowlengths" aria-controls="xmxsygykowbottom-xmxsygykowlengths" role="tab" data-toggle="tab">String Lengths</a>
+<a href="#vbiexvbmyobottom-vbiexvbmyolengths" aria-controls="vbiexvbmyobottom-vbiexvbmyolengths" role="tab" data-toggle="tab">String Lengths</a>
 </li>
 </ul>
 <div class="tab-content">
-<div role="tabpanel" class="tab-pane col-sm-12 active" id="xmxsygykowbottom-xmxsygykowcommon_values">
+<div role="tabpanel" class="tab-pane col-sm-12 active" id="vbiexvbmyobottom-vbiexvbmyocommon_values">
 <div class="col-sm-12">
 <p class="h4"></p>
-<div id="ihfhvyaqor" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#ihfhvyaqor table {
+<div id="vmdsjidgrt" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#vmdsjidgrt table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#ihfhvyaqor thead, #ihfhvyaqor tbody, #ihfhvyaqor tfoot, #ihfhvyaqor tr, #ihfhvyaqor td, #ihfhvyaqor th {
+#vmdsjidgrt thead, #vmdsjidgrt tbody, #vmdsjidgrt tfoot, #vmdsjidgrt tr, #vmdsjidgrt td, #vmdsjidgrt th {
   border-style: none;
 }
 
-#ihfhvyaqor p {
+#vmdsjidgrt p {
   margin: 0;
   padding: 0;
 }
 
-#ihfhvyaqor .gt_table {
+#vmdsjidgrt .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -21959,12 +21959,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#ihfhvyaqor .gt_caption {
+#vmdsjidgrt .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#ihfhvyaqor .gt_title {
+#vmdsjidgrt .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -21976,7 +21976,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#ihfhvyaqor .gt_subtitle {
+#vmdsjidgrt .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -21988,7 +21988,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#ihfhvyaqor .gt_heading {
+#vmdsjidgrt .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -22000,13 +22000,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#ihfhvyaqor .gt_bottom_border {
+#vmdsjidgrt .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#ihfhvyaqor .gt_col_headings {
+#vmdsjidgrt .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -22021,7 +22021,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#ihfhvyaqor .gt_col_heading {
+#vmdsjidgrt .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -22041,7 +22041,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#ihfhvyaqor .gt_column_spanner_outer {
+#vmdsjidgrt .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -22053,15 +22053,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#ihfhvyaqor .gt_column_spanner_outer:first-child {
+#vmdsjidgrt .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#ihfhvyaqor .gt_column_spanner_outer:last-child {
+#vmdsjidgrt .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#ihfhvyaqor .gt_column_spanner {
+#vmdsjidgrt .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -22073,11 +22073,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#ihfhvyaqor .gt_spanner_row {
+#vmdsjidgrt .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#ihfhvyaqor .gt_group_heading {
+#vmdsjidgrt .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -22103,7 +22103,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#ihfhvyaqor .gt_empty_group_heading {
+#vmdsjidgrt .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -22118,15 +22118,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#ihfhvyaqor .gt_from_md > :first-child {
+#vmdsjidgrt .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#ihfhvyaqor .gt_from_md > :last-child {
+#vmdsjidgrt .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#ihfhvyaqor .gt_row {
+#vmdsjidgrt .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -22145,7 +22145,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#ihfhvyaqor .gt_stub {
+#vmdsjidgrt .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -22158,7 +22158,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#ihfhvyaqor .gt_stub_row_group {
+#vmdsjidgrt .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -22172,15 +22172,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#ihfhvyaqor .gt_row_group_first td {
+#vmdsjidgrt .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#ihfhvyaqor .gt_row_group_first th {
+#vmdsjidgrt .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#ihfhvyaqor .gt_summary_row {
+#vmdsjidgrt .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -22190,16 +22190,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#ihfhvyaqor .gt_first_summary_row {
+#vmdsjidgrt .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#ihfhvyaqor .gt_first_summary_row.thick {
+#vmdsjidgrt .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#ihfhvyaqor .gt_last_summary_row {
+#vmdsjidgrt .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -22209,7 +22209,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#ihfhvyaqor .gt_grand_summary_row {
+#vmdsjidgrt .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -22219,7 +22219,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#ihfhvyaqor .gt_first_grand_summary_row {
+#vmdsjidgrt .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -22229,7 +22229,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#ihfhvyaqor .gt_last_grand_summary_row_top {
+#vmdsjidgrt .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -22239,11 +22239,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#ihfhvyaqor .gt_striped {
+#vmdsjidgrt .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#ihfhvyaqor .gt_table_body {
+#vmdsjidgrt .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -22252,7 +22252,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#ihfhvyaqor .gt_footnotes {
+#vmdsjidgrt .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -22266,7 +22266,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#ihfhvyaqor .gt_footnote {
+#vmdsjidgrt .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -22275,7 +22275,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#ihfhvyaqor .gt_sourcenotes {
+#vmdsjidgrt .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -22289,7 +22289,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#ihfhvyaqor .gt_sourcenote {
+#vmdsjidgrt .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -22297,63 +22297,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#ihfhvyaqor .gt_left {
+#vmdsjidgrt .gt_left {
   text-align: left;
 }
 
-#ihfhvyaqor .gt_center {
+#vmdsjidgrt .gt_center {
   text-align: center;
 }
 
-#ihfhvyaqor .gt_right {
+#vmdsjidgrt .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#ihfhvyaqor .gt_font_normal {
+#vmdsjidgrt .gt_font_normal {
   font-weight: normal;
 }
 
-#ihfhvyaqor .gt_font_bold {
+#vmdsjidgrt .gt_font_bold {
   font-weight: bold;
 }
 
-#ihfhvyaqor .gt_font_italic {
+#vmdsjidgrt .gt_font_italic {
   font-style: italic;
 }
 
-#ihfhvyaqor .gt_super {
+#vmdsjidgrt .gt_super {
   font-size: 65%;
 }
 
-#ihfhvyaqor .gt_footnote_marks {
+#vmdsjidgrt .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#ihfhvyaqor .gt_asterisk {
+#vmdsjidgrt .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#ihfhvyaqor .gt_indent_1 {
+#vmdsjidgrt .gt_indent_1 {
   text-indent: 5px;
 }
 
-#ihfhvyaqor .gt_indent_2 {
+#vmdsjidgrt .gt_indent_2 {
   text-indent: 10px;
 }
 
-#ihfhvyaqor .gt_indent_3 {
+#vmdsjidgrt .gt_indent_3 {
   text-indent: 15px;
 }
 
-#ihfhvyaqor .gt_indent_4 {
+#vmdsjidgrt .gt_indent_4 {
   text-indent: 20px;
 }
 
-#ihfhvyaqor .gt_indent_5 {
+#vmdsjidgrt .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -22406,26 +22406,26 @@ <h2 class="page-header">Variables</h2>
 </div>
 </div>
 </div>
-<div role="tabpanel" class="tab-pane col-sm-12" id="xmxsygykowbottom-xmxsygykowlengths">
+<div role="tabpanel" class="tab-pane col-sm-12" id="vbiexvbmyobottom-vbiexvbmyolengths">
 <div class="col-sm-4">
 <p class="h4">String Lengths</p>
-<div id="fjvsyyaktl" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#fjvsyyaktl table {
+<div id="tuaekxvwgh" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#tuaekxvwgh table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#fjvsyyaktl thead, #fjvsyyaktl tbody, #fjvsyyaktl tfoot, #fjvsyyaktl tr, #fjvsyyaktl td, #fjvsyyaktl th {
+#tuaekxvwgh thead, #tuaekxvwgh tbody, #tuaekxvwgh tfoot, #tuaekxvwgh tr, #tuaekxvwgh td, #tuaekxvwgh th {
   border-style: none;
 }
 
-#fjvsyyaktl p {
+#tuaekxvwgh p {
   margin: 0;
   padding: 0;
 }
 
-#fjvsyyaktl .gt_table {
+#tuaekxvwgh .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -22451,12 +22451,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#fjvsyyaktl .gt_caption {
+#tuaekxvwgh .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#fjvsyyaktl .gt_title {
+#tuaekxvwgh .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -22468,7 +22468,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#fjvsyyaktl .gt_subtitle {
+#tuaekxvwgh .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -22480,7 +22480,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#fjvsyyaktl .gt_heading {
+#tuaekxvwgh .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -22492,13 +22492,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#fjvsyyaktl .gt_bottom_border {
+#tuaekxvwgh .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#fjvsyyaktl .gt_col_headings {
+#tuaekxvwgh .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -22513,7 +22513,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#fjvsyyaktl .gt_col_heading {
+#tuaekxvwgh .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -22533,7 +22533,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#fjvsyyaktl .gt_column_spanner_outer {
+#tuaekxvwgh .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -22545,15 +22545,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#fjvsyyaktl .gt_column_spanner_outer:first-child {
+#tuaekxvwgh .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#fjvsyyaktl .gt_column_spanner_outer:last-child {
+#tuaekxvwgh .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#fjvsyyaktl .gt_column_spanner {
+#tuaekxvwgh .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -22565,11 +22565,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#fjvsyyaktl .gt_spanner_row {
+#tuaekxvwgh .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#fjvsyyaktl .gt_group_heading {
+#tuaekxvwgh .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -22595,7 +22595,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#fjvsyyaktl .gt_empty_group_heading {
+#tuaekxvwgh .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -22610,15 +22610,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#fjvsyyaktl .gt_from_md > :first-child {
+#tuaekxvwgh .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#fjvsyyaktl .gt_from_md > :last-child {
+#tuaekxvwgh .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#fjvsyyaktl .gt_row {
+#tuaekxvwgh .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -22637,7 +22637,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#fjvsyyaktl .gt_stub {
+#tuaekxvwgh .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -22650,7 +22650,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#fjvsyyaktl .gt_stub_row_group {
+#tuaekxvwgh .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -22664,15 +22664,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#fjvsyyaktl .gt_row_group_first td {
+#tuaekxvwgh .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#fjvsyyaktl .gt_row_group_first th {
+#tuaekxvwgh .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#fjvsyyaktl .gt_summary_row {
+#tuaekxvwgh .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -22682,16 +22682,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#fjvsyyaktl .gt_first_summary_row {
+#tuaekxvwgh .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#fjvsyyaktl .gt_first_summary_row.thick {
+#tuaekxvwgh .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#fjvsyyaktl .gt_last_summary_row {
+#tuaekxvwgh .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -22701,7 +22701,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#fjvsyyaktl .gt_grand_summary_row {
+#tuaekxvwgh .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -22711,7 +22711,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#fjvsyyaktl .gt_first_grand_summary_row {
+#tuaekxvwgh .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -22721,7 +22721,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#fjvsyyaktl .gt_last_grand_summary_row_top {
+#tuaekxvwgh .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -22731,11 +22731,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#fjvsyyaktl .gt_striped {
+#tuaekxvwgh .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#fjvsyyaktl .gt_table_body {
+#tuaekxvwgh .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -22744,7 +22744,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#fjvsyyaktl .gt_footnotes {
+#tuaekxvwgh .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -22758,7 +22758,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#fjvsyyaktl .gt_footnote {
+#tuaekxvwgh .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -22767,7 +22767,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#fjvsyyaktl .gt_sourcenotes {
+#tuaekxvwgh .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -22781,7 +22781,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#fjvsyyaktl .gt_sourcenote {
+#tuaekxvwgh .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -22789,63 +22789,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#fjvsyyaktl .gt_left {
+#tuaekxvwgh .gt_left {
   text-align: left;
 }
 
-#fjvsyyaktl .gt_center {
+#tuaekxvwgh .gt_center {
   text-align: center;
 }
 
-#fjvsyyaktl .gt_right {
+#tuaekxvwgh .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#fjvsyyaktl .gt_font_normal {
+#tuaekxvwgh .gt_font_normal {
   font-weight: normal;
 }
 
-#fjvsyyaktl .gt_font_bold {
+#tuaekxvwgh .gt_font_bold {
   font-weight: bold;
 }
 
-#fjvsyyaktl .gt_font_italic {
+#tuaekxvwgh .gt_font_italic {
   font-style: italic;
 }
 
-#fjvsyyaktl .gt_super {
+#tuaekxvwgh .gt_super {
   font-size: 65%;
 }
 
-#fjvsyyaktl .gt_footnote_marks {
+#tuaekxvwgh .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#fjvsyyaktl .gt_asterisk {
+#tuaekxvwgh .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#fjvsyyaktl .gt_indent_1 {
+#tuaekxvwgh .gt_indent_1 {
   text-indent: 5px;
 }
 
-#fjvsyyaktl .gt_indent_2 {
+#tuaekxvwgh .gt_indent_2 {
   text-indent: 10px;
 }
 
-#fjvsyyaktl .gt_indent_3 {
+#tuaekxvwgh .gt_indent_3 {
   text-indent: 15px;
 }
 
-#fjvsyyaktl .gt_indent_4 {
+#tuaekxvwgh .gt_indent_4 {
   text-indent: 20px;
 }
 
-#fjvsyyaktl .gt_indent_5 {
+#tuaekxvwgh .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -22877,11 +22877,11 @@ <h2 class="page-header">Variables</h2>
 </a>
 </div>
 <div class="row spacing">
-<a class="anchor-pos anchor-pos-variable" id="pp_var_ejhnarhrok">
+<a class="anchor-pos anchor-pos-variable" id="pp_var_aeqtawizmy">
 <div class="variable">
 <div class="col-sm-3">
 <p class="h4" style="margin-bottom:0;margin-top:-2px;" title="Class">
-<a href="#pp_var_ejhnarhrok">
+<a href="#pp_var_aeqtawizmy">
 Class
 <br><small style="margin-top:0;">
 <code>character</code>
@@ -22890,23 +22890,23 @@ <h2 class="page-header">Variables</h2>
 </p>
 </div>
 <div class="col-sm-5">
-<div id="infijwbrke" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#infijwbrke table {
+<div id="zadyvnreab" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#zadyvnreab table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#infijwbrke thead, #infijwbrke tbody, #infijwbrke tfoot, #infijwbrke tr, #infijwbrke td, #infijwbrke th {
+#zadyvnreab thead, #zadyvnreab tbody, #zadyvnreab tfoot, #zadyvnreab tr, #zadyvnreab td, #zadyvnreab th {
   border-style: none;
 }
 
-#infijwbrke p {
+#zadyvnreab p {
   margin: 0;
   padding: 0;
 }
 
-#infijwbrke .gt_table {
+#zadyvnreab .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -22932,12 +22932,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#infijwbrke .gt_caption {
+#zadyvnreab .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#infijwbrke .gt_title {
+#zadyvnreab .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -22949,7 +22949,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#infijwbrke .gt_subtitle {
+#zadyvnreab .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -22961,7 +22961,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#infijwbrke .gt_heading {
+#zadyvnreab .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -22973,13 +22973,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#infijwbrke .gt_bottom_border {
+#zadyvnreab .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#infijwbrke .gt_col_headings {
+#zadyvnreab .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -22994,7 +22994,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#infijwbrke .gt_col_heading {
+#zadyvnreab .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -23014,7 +23014,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#infijwbrke .gt_column_spanner_outer {
+#zadyvnreab .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -23026,15 +23026,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#infijwbrke .gt_column_spanner_outer:first-child {
+#zadyvnreab .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#infijwbrke .gt_column_spanner_outer:last-child {
+#zadyvnreab .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#infijwbrke .gt_column_spanner {
+#zadyvnreab .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -23046,11 +23046,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#infijwbrke .gt_spanner_row {
+#zadyvnreab .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#infijwbrke .gt_group_heading {
+#zadyvnreab .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -23076,7 +23076,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#infijwbrke .gt_empty_group_heading {
+#zadyvnreab .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -23091,15 +23091,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#infijwbrke .gt_from_md > :first-child {
+#zadyvnreab .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#infijwbrke .gt_from_md > :last-child {
+#zadyvnreab .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#infijwbrke .gt_row {
+#zadyvnreab .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -23118,7 +23118,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#infijwbrke .gt_stub {
+#zadyvnreab .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -23131,7 +23131,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#infijwbrke .gt_stub_row_group {
+#zadyvnreab .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -23145,15 +23145,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#infijwbrke .gt_row_group_first td {
+#zadyvnreab .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#infijwbrke .gt_row_group_first th {
+#zadyvnreab .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#infijwbrke .gt_summary_row {
+#zadyvnreab .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -23163,16 +23163,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#infijwbrke .gt_first_summary_row {
+#zadyvnreab .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#infijwbrke .gt_first_summary_row.thick {
+#zadyvnreab .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#infijwbrke .gt_last_summary_row {
+#zadyvnreab .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -23182,7 +23182,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#infijwbrke .gt_grand_summary_row {
+#zadyvnreab .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -23192,7 +23192,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#infijwbrke .gt_first_grand_summary_row {
+#zadyvnreab .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -23202,7 +23202,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#infijwbrke .gt_last_grand_summary_row_top {
+#zadyvnreab .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -23212,11 +23212,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#infijwbrke .gt_striped {
+#zadyvnreab .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#infijwbrke .gt_table_body {
+#zadyvnreab .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -23225,7 +23225,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#infijwbrke .gt_footnotes {
+#zadyvnreab .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -23239,7 +23239,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#infijwbrke .gt_footnote {
+#zadyvnreab .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -23248,7 +23248,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#infijwbrke .gt_sourcenotes {
+#zadyvnreab .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -23262,7 +23262,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#infijwbrke .gt_sourcenote {
+#zadyvnreab .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -23270,63 +23270,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#infijwbrke .gt_left {
+#zadyvnreab .gt_left {
   text-align: left;
 }
 
-#infijwbrke .gt_center {
+#zadyvnreab .gt_center {
   text-align: center;
 }
 
-#infijwbrke .gt_right {
+#zadyvnreab .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#infijwbrke .gt_font_normal {
+#zadyvnreab .gt_font_normal {
   font-weight: normal;
 }
 
-#infijwbrke .gt_font_bold {
+#zadyvnreab .gt_font_bold {
   font-weight: bold;
 }
 
-#infijwbrke .gt_font_italic {
+#zadyvnreab .gt_font_italic {
   font-style: italic;
 }
 
-#infijwbrke .gt_super {
+#zadyvnreab .gt_super {
   font-size: 65%;
 }
 
-#infijwbrke .gt_footnote_marks {
+#zadyvnreab .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#infijwbrke .gt_asterisk {
+#zadyvnreab .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#infijwbrke .gt_indent_1 {
+#zadyvnreab .gt_indent_1 {
   text-indent: 5px;
 }
 
-#infijwbrke .gt_indent_2 {
+#zadyvnreab .gt_indent_2 {
   text-indent: 10px;
 }
 
-#infijwbrke .gt_indent_3 {
+#zadyvnreab .gt_indent_3 {
   text-indent: 15px;
 }
 
-#infijwbrke .gt_indent_4 {
+#zadyvnreab .gt_indent_4 {
   text-indent: 20px;
 }
 
-#infijwbrke .gt_indent_5 {
+#zadyvnreab .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -23354,39 +23354,39 @@ <h2 class="page-header">Variables</h2>
 </div>
 <div class="col-sm-4"> </div>
 <div class="col-sm-12 text-left">
-<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-ejhnarhrok, #minifreqtableejhnarhrok" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
+<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-aeqtawizmy, #minifreqtableaeqtawizmy" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
 </div>
-<div id="bottom-ejhnarhrok" class="collapse" aria-expanded="false" style="height: 5px;">
+<div id="bottom-aeqtawizmy" class="collapse" aria-expanded="false" style="height: 5px;">
 <div class="row spacing">
 <ul class="nav nav-tabs" role="tablist">
 <li role="presentation" class="active" style="padding-top: 5px;">
-<a href="#ejhnarhrokbottom-ejhnarhrokcommon_values" aria-controls="ejhnarhrokbottom-ejhnarhrokcommon_values" role="tab" data-toggle="tab">Common Values</a>
+<a href="#aeqtawizmybottom-aeqtawizmycommon_values" aria-controls="aeqtawizmybottom-aeqtawizmycommon_values" role="tab" data-toggle="tab">Common Values</a>
 </li>
 <li role="presentation" class="" style="padding-top: 5px;">
-<a href="#ejhnarhrokbottom-ejhnarhroklengths" aria-controls="ejhnarhrokbottom-ejhnarhroklengths" role="tab" data-toggle="tab">String Lengths</a>
+<a href="#aeqtawizmybottom-aeqtawizmylengths" aria-controls="aeqtawizmybottom-aeqtawizmylengths" role="tab" data-toggle="tab">String Lengths</a>
 </li>
 </ul>
 <div class="tab-content">
-<div role="tabpanel" class="tab-pane col-sm-12 active" id="ejhnarhrokbottom-ejhnarhrokcommon_values">
+<div role="tabpanel" class="tab-pane col-sm-12 active" id="aeqtawizmybottom-aeqtawizmycommon_values">
 <div class="col-sm-12">
 <p class="h4"></p>
-<div id="uzwedyyhxy" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#uzwedyyhxy table {
+<div id="jjxansbrlm" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#jjxansbrlm table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#uzwedyyhxy thead, #uzwedyyhxy tbody, #uzwedyyhxy tfoot, #uzwedyyhxy tr, #uzwedyyhxy td, #uzwedyyhxy th {
+#jjxansbrlm thead, #jjxansbrlm tbody, #jjxansbrlm tfoot, #jjxansbrlm tr, #jjxansbrlm td, #jjxansbrlm th {
   border-style: none;
 }
 
-#uzwedyyhxy p {
+#jjxansbrlm p {
   margin: 0;
   padding: 0;
 }
 
-#uzwedyyhxy .gt_table {
+#jjxansbrlm .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -23412,12 +23412,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#uzwedyyhxy .gt_caption {
+#jjxansbrlm .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#uzwedyyhxy .gt_title {
+#jjxansbrlm .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -23429,7 +23429,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#uzwedyyhxy .gt_subtitle {
+#jjxansbrlm .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -23441,7 +23441,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#uzwedyyhxy .gt_heading {
+#jjxansbrlm .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -23453,13 +23453,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#uzwedyyhxy .gt_bottom_border {
+#jjxansbrlm .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#uzwedyyhxy .gt_col_headings {
+#jjxansbrlm .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -23474,7 +23474,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#uzwedyyhxy .gt_col_heading {
+#jjxansbrlm .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -23494,7 +23494,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#uzwedyyhxy .gt_column_spanner_outer {
+#jjxansbrlm .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -23506,15 +23506,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#uzwedyyhxy .gt_column_spanner_outer:first-child {
+#jjxansbrlm .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#uzwedyyhxy .gt_column_spanner_outer:last-child {
+#jjxansbrlm .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#uzwedyyhxy .gt_column_spanner {
+#jjxansbrlm .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -23526,11 +23526,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#uzwedyyhxy .gt_spanner_row {
+#jjxansbrlm .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#uzwedyyhxy .gt_group_heading {
+#jjxansbrlm .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -23556,7 +23556,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#uzwedyyhxy .gt_empty_group_heading {
+#jjxansbrlm .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -23571,15 +23571,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#uzwedyyhxy .gt_from_md > :first-child {
+#jjxansbrlm .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#uzwedyyhxy .gt_from_md > :last-child {
+#jjxansbrlm .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#uzwedyyhxy .gt_row {
+#jjxansbrlm .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -23598,7 +23598,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#uzwedyyhxy .gt_stub {
+#jjxansbrlm .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -23611,7 +23611,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#uzwedyyhxy .gt_stub_row_group {
+#jjxansbrlm .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -23625,15 +23625,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#uzwedyyhxy .gt_row_group_first td {
+#jjxansbrlm .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#uzwedyyhxy .gt_row_group_first th {
+#jjxansbrlm .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#uzwedyyhxy .gt_summary_row {
+#jjxansbrlm .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -23643,16 +23643,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#uzwedyyhxy .gt_first_summary_row {
+#jjxansbrlm .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#uzwedyyhxy .gt_first_summary_row.thick {
+#jjxansbrlm .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#uzwedyyhxy .gt_last_summary_row {
+#jjxansbrlm .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -23662,7 +23662,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#uzwedyyhxy .gt_grand_summary_row {
+#jjxansbrlm .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -23672,7 +23672,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#uzwedyyhxy .gt_first_grand_summary_row {
+#jjxansbrlm .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -23682,7 +23682,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#uzwedyyhxy .gt_last_grand_summary_row_top {
+#jjxansbrlm .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -23692,11 +23692,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#uzwedyyhxy .gt_striped {
+#jjxansbrlm .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#uzwedyyhxy .gt_table_body {
+#jjxansbrlm .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -23705,7 +23705,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#uzwedyyhxy .gt_footnotes {
+#jjxansbrlm .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -23719,7 +23719,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#uzwedyyhxy .gt_footnote {
+#jjxansbrlm .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -23728,7 +23728,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#uzwedyyhxy .gt_sourcenotes {
+#jjxansbrlm .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -23742,7 +23742,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#uzwedyyhxy .gt_sourcenote {
+#jjxansbrlm .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -23750,63 +23750,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#uzwedyyhxy .gt_left {
+#jjxansbrlm .gt_left {
   text-align: left;
 }
 
-#uzwedyyhxy .gt_center {
+#jjxansbrlm .gt_center {
   text-align: center;
 }
 
-#uzwedyyhxy .gt_right {
+#jjxansbrlm .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#uzwedyyhxy .gt_font_normal {
+#jjxansbrlm .gt_font_normal {
   font-weight: normal;
 }
 
-#uzwedyyhxy .gt_font_bold {
+#jjxansbrlm .gt_font_bold {
   font-weight: bold;
 }
 
-#uzwedyyhxy .gt_font_italic {
+#jjxansbrlm .gt_font_italic {
   font-style: italic;
 }
 
-#uzwedyyhxy .gt_super {
+#jjxansbrlm .gt_super {
   font-size: 65%;
 }
 
-#uzwedyyhxy .gt_footnote_marks {
+#jjxansbrlm .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#uzwedyyhxy .gt_asterisk {
+#jjxansbrlm .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#uzwedyyhxy .gt_indent_1 {
+#jjxansbrlm .gt_indent_1 {
   text-indent: 5px;
 }
 
-#uzwedyyhxy .gt_indent_2 {
+#jjxansbrlm .gt_indent_2 {
   text-indent: 10px;
 }
 
-#uzwedyyhxy .gt_indent_3 {
+#jjxansbrlm .gt_indent_3 {
   text-indent: 15px;
 }
 
-#uzwedyyhxy .gt_indent_4 {
+#jjxansbrlm .gt_indent_4 {
   text-indent: 20px;
 }
 
-#uzwedyyhxy .gt_indent_5 {
+#jjxansbrlm .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -23874,26 +23874,26 @@ <h2 class="page-header">Variables</h2>
 </div>
 </div>
 </div>
-<div role="tabpanel" class="tab-pane col-sm-12" id="ejhnarhrokbottom-ejhnarhroklengths">
+<div role="tabpanel" class="tab-pane col-sm-12" id="aeqtawizmybottom-aeqtawizmylengths">
 <div class="col-sm-4">
 <p class="h4">String Lengths</p>
-<div id="urssyngqna" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#urssyngqna table {
+<div id="hkpbcbuyju" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#hkpbcbuyju table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#urssyngqna thead, #urssyngqna tbody, #urssyngqna tfoot, #urssyngqna tr, #urssyngqna td, #urssyngqna th {
+#hkpbcbuyju thead, #hkpbcbuyju tbody, #hkpbcbuyju tfoot, #hkpbcbuyju tr, #hkpbcbuyju td, #hkpbcbuyju th {
   border-style: none;
 }
 
-#urssyngqna p {
+#hkpbcbuyju p {
   margin: 0;
   padding: 0;
 }
 
-#urssyngqna .gt_table {
+#hkpbcbuyju .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -23919,12 +23919,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#urssyngqna .gt_caption {
+#hkpbcbuyju .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#urssyngqna .gt_title {
+#hkpbcbuyju .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -23936,7 +23936,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#urssyngqna .gt_subtitle {
+#hkpbcbuyju .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -23948,7 +23948,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#urssyngqna .gt_heading {
+#hkpbcbuyju .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -23960,13 +23960,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#urssyngqna .gt_bottom_border {
+#hkpbcbuyju .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#urssyngqna .gt_col_headings {
+#hkpbcbuyju .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -23981,7 +23981,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#urssyngqna .gt_col_heading {
+#hkpbcbuyju .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -24001,7 +24001,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#urssyngqna .gt_column_spanner_outer {
+#hkpbcbuyju .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -24013,15 +24013,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#urssyngqna .gt_column_spanner_outer:first-child {
+#hkpbcbuyju .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#urssyngqna .gt_column_spanner_outer:last-child {
+#hkpbcbuyju .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#urssyngqna .gt_column_spanner {
+#hkpbcbuyju .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -24033,11 +24033,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#urssyngqna .gt_spanner_row {
+#hkpbcbuyju .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#urssyngqna .gt_group_heading {
+#hkpbcbuyju .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -24063,7 +24063,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#urssyngqna .gt_empty_group_heading {
+#hkpbcbuyju .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -24078,15 +24078,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#urssyngqna .gt_from_md > :first-child {
+#hkpbcbuyju .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#urssyngqna .gt_from_md > :last-child {
+#hkpbcbuyju .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#urssyngqna .gt_row {
+#hkpbcbuyju .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -24105,7 +24105,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#urssyngqna .gt_stub {
+#hkpbcbuyju .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -24118,7 +24118,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#urssyngqna .gt_stub_row_group {
+#hkpbcbuyju .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -24132,15 +24132,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#urssyngqna .gt_row_group_first td {
+#hkpbcbuyju .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#urssyngqna .gt_row_group_first th {
+#hkpbcbuyju .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#urssyngqna .gt_summary_row {
+#hkpbcbuyju .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -24150,16 +24150,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#urssyngqna .gt_first_summary_row {
+#hkpbcbuyju .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#urssyngqna .gt_first_summary_row.thick {
+#hkpbcbuyju .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#urssyngqna .gt_last_summary_row {
+#hkpbcbuyju .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -24169,7 +24169,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#urssyngqna .gt_grand_summary_row {
+#hkpbcbuyju .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -24179,7 +24179,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#urssyngqna .gt_first_grand_summary_row {
+#hkpbcbuyju .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -24189,7 +24189,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#urssyngqna .gt_last_grand_summary_row_top {
+#hkpbcbuyju .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -24199,11 +24199,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#urssyngqna .gt_striped {
+#hkpbcbuyju .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#urssyngqna .gt_table_body {
+#hkpbcbuyju .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -24212,7 +24212,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#urssyngqna .gt_footnotes {
+#hkpbcbuyju .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -24226,7 +24226,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#urssyngqna .gt_footnote {
+#hkpbcbuyju .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -24235,7 +24235,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#urssyngqna .gt_sourcenotes {
+#hkpbcbuyju .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -24249,7 +24249,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#urssyngqna .gt_sourcenote {
+#hkpbcbuyju .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -24257,63 +24257,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#urssyngqna .gt_left {
+#hkpbcbuyju .gt_left {
   text-align: left;
 }
 
-#urssyngqna .gt_center {
+#hkpbcbuyju .gt_center {
   text-align: center;
 }
 
-#urssyngqna .gt_right {
+#hkpbcbuyju .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#urssyngqna .gt_font_normal {
+#hkpbcbuyju .gt_font_normal {
   font-weight: normal;
 }
 
-#urssyngqna .gt_font_bold {
+#hkpbcbuyju .gt_font_bold {
   font-weight: bold;
 }
 
-#urssyngqna .gt_font_italic {
+#hkpbcbuyju .gt_font_italic {
   font-style: italic;
 }
 
-#urssyngqna .gt_super {
+#hkpbcbuyju .gt_super {
   font-size: 65%;
 }
 
-#urssyngqna .gt_footnote_marks {
+#hkpbcbuyju .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#urssyngqna .gt_asterisk {
+#hkpbcbuyju .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#urssyngqna .gt_indent_1 {
+#hkpbcbuyju .gt_indent_1 {
   text-indent: 5px;
 }
 
-#urssyngqna .gt_indent_2 {
+#hkpbcbuyju .gt_indent_2 {
   text-indent: 10px;
 }
 
-#urssyngqna .gt_indent_3 {
+#hkpbcbuyju .gt_indent_3 {
   text-indent: 15px;
 }
 
-#urssyngqna .gt_indent_4 {
+#hkpbcbuyju .gt_indent_4 {
   text-indent: 20px;
 }
 
-#urssyngqna .gt_indent_5 {
+#hkpbcbuyju .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -24345,11 +24345,11 @@ <h2 class="page-header">Variables</h2>
 </a>
 </div>
 <div class="row spacing">
-<a class="anchor-pos anchor-pos-variable" id="pp_var_tqfayaljpr">
+<a class="anchor-pos anchor-pos-variable" id="pp_var_pyfafqhxpx">
 <div class="variable">
 <div class="col-sm-3">
 <p class="h4" style="margin-bottom:0;margin-top:-2px;" title="Order">
-<a href="#pp_var_tqfayaljpr">
+<a href="#pp_var_pyfafqhxpx">
 Order
 <br><small style="margin-top:0;">
 <code>character</code>
@@ -24358,23 +24358,23 @@ <h2 class="page-header">Variables</h2>
 </p>
 </div>
 <div class="col-sm-5">
-<div id="uoqpaqvswq" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#uoqpaqvswq table {
+<div id="hfijfltsol" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#hfijfltsol table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#uoqpaqvswq thead, #uoqpaqvswq tbody, #uoqpaqvswq tfoot, #uoqpaqvswq tr, #uoqpaqvswq td, #uoqpaqvswq th {
+#hfijfltsol thead, #hfijfltsol tbody, #hfijfltsol tfoot, #hfijfltsol tr, #hfijfltsol td, #hfijfltsol th {
   border-style: none;
 }
 
-#uoqpaqvswq p {
+#hfijfltsol p {
   margin: 0;
   padding: 0;
 }
 
-#uoqpaqvswq .gt_table {
+#hfijfltsol .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -24400,12 +24400,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#uoqpaqvswq .gt_caption {
+#hfijfltsol .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#uoqpaqvswq .gt_title {
+#hfijfltsol .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -24417,7 +24417,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#uoqpaqvswq .gt_subtitle {
+#hfijfltsol .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -24429,7 +24429,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#uoqpaqvswq .gt_heading {
+#hfijfltsol .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -24441,13 +24441,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#uoqpaqvswq .gt_bottom_border {
+#hfijfltsol .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#uoqpaqvswq .gt_col_headings {
+#hfijfltsol .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -24462,7 +24462,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#uoqpaqvswq .gt_col_heading {
+#hfijfltsol .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -24482,7 +24482,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#uoqpaqvswq .gt_column_spanner_outer {
+#hfijfltsol .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -24494,15 +24494,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#uoqpaqvswq .gt_column_spanner_outer:first-child {
+#hfijfltsol .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#uoqpaqvswq .gt_column_spanner_outer:last-child {
+#hfijfltsol .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#uoqpaqvswq .gt_column_spanner {
+#hfijfltsol .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -24514,11 +24514,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#uoqpaqvswq .gt_spanner_row {
+#hfijfltsol .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#uoqpaqvswq .gt_group_heading {
+#hfijfltsol .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -24544,7 +24544,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#uoqpaqvswq .gt_empty_group_heading {
+#hfijfltsol .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -24559,15 +24559,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#uoqpaqvswq .gt_from_md > :first-child {
+#hfijfltsol .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#uoqpaqvswq .gt_from_md > :last-child {
+#hfijfltsol .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#uoqpaqvswq .gt_row {
+#hfijfltsol .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -24586,7 +24586,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#uoqpaqvswq .gt_stub {
+#hfijfltsol .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -24599,7 +24599,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#uoqpaqvswq .gt_stub_row_group {
+#hfijfltsol .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -24613,15 +24613,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#uoqpaqvswq .gt_row_group_first td {
+#hfijfltsol .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#uoqpaqvswq .gt_row_group_first th {
+#hfijfltsol .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#uoqpaqvswq .gt_summary_row {
+#hfijfltsol .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -24631,16 +24631,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#uoqpaqvswq .gt_first_summary_row {
+#hfijfltsol .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#uoqpaqvswq .gt_first_summary_row.thick {
+#hfijfltsol .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#uoqpaqvswq .gt_last_summary_row {
+#hfijfltsol .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -24650,7 +24650,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#uoqpaqvswq .gt_grand_summary_row {
+#hfijfltsol .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -24660,7 +24660,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#uoqpaqvswq .gt_first_grand_summary_row {
+#hfijfltsol .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -24670,7 +24670,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#uoqpaqvswq .gt_last_grand_summary_row_top {
+#hfijfltsol .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -24680,11 +24680,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#uoqpaqvswq .gt_striped {
+#hfijfltsol .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#uoqpaqvswq .gt_table_body {
+#hfijfltsol .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -24693,7 +24693,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#uoqpaqvswq .gt_footnotes {
+#hfijfltsol .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -24707,7 +24707,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#uoqpaqvswq .gt_footnote {
+#hfijfltsol .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -24716,7 +24716,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#uoqpaqvswq .gt_sourcenotes {
+#hfijfltsol .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -24730,7 +24730,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#uoqpaqvswq .gt_sourcenote {
+#hfijfltsol .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -24738,63 +24738,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#uoqpaqvswq .gt_left {
+#hfijfltsol .gt_left {
   text-align: left;
 }
 
-#uoqpaqvswq .gt_center {
+#hfijfltsol .gt_center {
   text-align: center;
 }
 
-#uoqpaqvswq .gt_right {
+#hfijfltsol .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#uoqpaqvswq .gt_font_normal {
+#hfijfltsol .gt_font_normal {
   font-weight: normal;
 }
 
-#uoqpaqvswq .gt_font_bold {
+#hfijfltsol .gt_font_bold {
   font-weight: bold;
 }
 
-#uoqpaqvswq .gt_font_italic {
+#hfijfltsol .gt_font_italic {
   font-style: italic;
 }
 
-#uoqpaqvswq .gt_super {
+#hfijfltsol .gt_super {
   font-size: 65%;
 }
 
-#uoqpaqvswq .gt_footnote_marks {
+#hfijfltsol .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#uoqpaqvswq .gt_asterisk {
+#hfijfltsol .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#uoqpaqvswq .gt_indent_1 {
+#hfijfltsol .gt_indent_1 {
   text-indent: 5px;
 }
 
-#uoqpaqvswq .gt_indent_2 {
+#hfijfltsol .gt_indent_2 {
   text-indent: 10px;
 }
 
-#uoqpaqvswq .gt_indent_3 {
+#hfijfltsol .gt_indent_3 {
   text-indent: 15px;
 }
 
-#uoqpaqvswq .gt_indent_4 {
+#hfijfltsol .gt_indent_4 {
   text-indent: 20px;
 }
 
-#uoqpaqvswq .gt_indent_5 {
+#hfijfltsol .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -24822,39 +24822,39 @@ <h2 class="page-header">Variables</h2>
 </div>
 <div class="col-sm-4"> </div>
 <div class="col-sm-12 text-left">
-<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-tqfayaljpr, #minifreqtabletqfayaljpr" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
+<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-pyfafqhxpx, #minifreqtablepyfafqhxpx" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
 </div>
-<div id="bottom-tqfayaljpr" class="collapse" aria-expanded="false" style="height: 5px;">
+<div id="bottom-pyfafqhxpx" class="collapse" aria-expanded="false" style="height: 5px;">
 <div class="row spacing">
 <ul class="nav nav-tabs" role="tablist">
 <li role="presentation" class="active" style="padding-top: 5px;">
-<a href="#tqfayaljprbottom-tqfayaljprcommon_values" aria-controls="tqfayaljprbottom-tqfayaljprcommon_values" role="tab" data-toggle="tab">Common Values</a>
+<a href="#pyfafqhxpxbottom-pyfafqhxpxcommon_values" aria-controls="pyfafqhxpxbottom-pyfafqhxpxcommon_values" role="tab" data-toggle="tab">Common Values</a>
 </li>
 <li role="presentation" class="" style="padding-top: 5px;">
-<a href="#tqfayaljprbottom-tqfayaljprlengths" aria-controls="tqfayaljprbottom-tqfayaljprlengths" role="tab" data-toggle="tab">String Lengths</a>
+<a href="#pyfafqhxpxbottom-pyfafqhxpxlengths" aria-controls="pyfafqhxpxbottom-pyfafqhxpxlengths" role="tab" data-toggle="tab">String Lengths</a>
 </li>
 </ul>
 <div class="tab-content">
-<div role="tabpanel" class="tab-pane col-sm-12 active" id="tqfayaljprbottom-tqfayaljprcommon_values">
+<div role="tabpanel" class="tab-pane col-sm-12 active" id="pyfafqhxpxbottom-pyfafqhxpxcommon_values">
 <div class="col-sm-12">
 <p class="h4"></p>
-<div id="pwaabfzbma" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#pwaabfzbma table {
+<div id="yorzailxsv" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#yorzailxsv table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#pwaabfzbma thead, #pwaabfzbma tbody, #pwaabfzbma tfoot, #pwaabfzbma tr, #pwaabfzbma td, #pwaabfzbma th {
+#yorzailxsv thead, #yorzailxsv tbody, #yorzailxsv tfoot, #yorzailxsv tr, #yorzailxsv td, #yorzailxsv th {
   border-style: none;
 }
 
-#pwaabfzbma p {
+#yorzailxsv p {
   margin: 0;
   padding: 0;
 }
 
-#pwaabfzbma .gt_table {
+#yorzailxsv .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -24880,12 +24880,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#pwaabfzbma .gt_caption {
+#yorzailxsv .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#pwaabfzbma .gt_title {
+#yorzailxsv .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -24897,7 +24897,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#pwaabfzbma .gt_subtitle {
+#yorzailxsv .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -24909,7 +24909,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#pwaabfzbma .gt_heading {
+#yorzailxsv .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -24921,13 +24921,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#pwaabfzbma .gt_bottom_border {
+#yorzailxsv .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#pwaabfzbma .gt_col_headings {
+#yorzailxsv .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -24942,7 +24942,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#pwaabfzbma .gt_col_heading {
+#yorzailxsv .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -24962,7 +24962,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#pwaabfzbma .gt_column_spanner_outer {
+#yorzailxsv .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -24974,15 +24974,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#pwaabfzbma .gt_column_spanner_outer:first-child {
+#yorzailxsv .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#pwaabfzbma .gt_column_spanner_outer:last-child {
+#yorzailxsv .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#pwaabfzbma .gt_column_spanner {
+#yorzailxsv .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -24994,11 +24994,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#pwaabfzbma .gt_spanner_row {
+#yorzailxsv .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#pwaabfzbma .gt_group_heading {
+#yorzailxsv .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -25024,7 +25024,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#pwaabfzbma .gt_empty_group_heading {
+#yorzailxsv .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -25039,15 +25039,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#pwaabfzbma .gt_from_md > :first-child {
+#yorzailxsv .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#pwaabfzbma .gt_from_md > :last-child {
+#yorzailxsv .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#pwaabfzbma .gt_row {
+#yorzailxsv .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -25066,7 +25066,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#pwaabfzbma .gt_stub {
+#yorzailxsv .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -25079,7 +25079,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#pwaabfzbma .gt_stub_row_group {
+#yorzailxsv .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -25093,15 +25093,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#pwaabfzbma .gt_row_group_first td {
+#yorzailxsv .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#pwaabfzbma .gt_row_group_first th {
+#yorzailxsv .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#pwaabfzbma .gt_summary_row {
+#yorzailxsv .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -25111,16 +25111,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#pwaabfzbma .gt_first_summary_row {
+#yorzailxsv .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#pwaabfzbma .gt_first_summary_row.thick {
+#yorzailxsv .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#pwaabfzbma .gt_last_summary_row {
+#yorzailxsv .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -25130,7 +25130,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#pwaabfzbma .gt_grand_summary_row {
+#yorzailxsv .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -25140,7 +25140,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#pwaabfzbma .gt_first_grand_summary_row {
+#yorzailxsv .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -25150,7 +25150,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#pwaabfzbma .gt_last_grand_summary_row_top {
+#yorzailxsv .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -25160,11 +25160,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#pwaabfzbma .gt_striped {
+#yorzailxsv .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#pwaabfzbma .gt_table_body {
+#yorzailxsv .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -25173,7 +25173,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#pwaabfzbma .gt_footnotes {
+#yorzailxsv .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -25187,7 +25187,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#pwaabfzbma .gt_footnote {
+#yorzailxsv .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -25196,7 +25196,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#pwaabfzbma .gt_sourcenotes {
+#yorzailxsv .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -25210,7 +25210,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#pwaabfzbma .gt_sourcenote {
+#yorzailxsv .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -25218,63 +25218,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#pwaabfzbma .gt_left {
+#yorzailxsv .gt_left {
   text-align: left;
 }
 
-#pwaabfzbma .gt_center {
+#yorzailxsv .gt_center {
   text-align: center;
 }
 
-#pwaabfzbma .gt_right {
+#yorzailxsv .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#pwaabfzbma .gt_font_normal {
+#yorzailxsv .gt_font_normal {
   font-weight: normal;
 }
 
-#pwaabfzbma .gt_font_bold {
+#yorzailxsv .gt_font_bold {
   font-weight: bold;
 }
 
-#pwaabfzbma .gt_font_italic {
+#yorzailxsv .gt_font_italic {
   font-style: italic;
 }
 
-#pwaabfzbma .gt_super {
+#yorzailxsv .gt_super {
   font-size: 65%;
 }
 
-#pwaabfzbma .gt_footnote_marks {
+#yorzailxsv .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#pwaabfzbma .gt_asterisk {
+#yorzailxsv .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#pwaabfzbma .gt_indent_1 {
+#yorzailxsv .gt_indent_1 {
   text-indent: 5px;
 }
 
-#pwaabfzbma .gt_indent_2 {
+#yorzailxsv .gt_indent_2 {
   text-indent: 10px;
 }
 
-#pwaabfzbma .gt_indent_3 {
+#yorzailxsv .gt_indent_3 {
   text-indent: 15px;
 }
 
-#pwaabfzbma .gt_indent_4 {
+#yorzailxsv .gt_indent_4 {
   text-indent: 20px;
 }
 
-#pwaabfzbma .gt_indent_5 {
+#yorzailxsv .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -25342,26 +25342,26 @@ <h2 class="page-header">Variables</h2>
 </div>
 </div>
 </div>
-<div role="tabpanel" class="tab-pane col-sm-12" id="tqfayaljprbottom-tqfayaljprlengths">
+<div role="tabpanel" class="tab-pane col-sm-12" id="pyfafqhxpxbottom-pyfafqhxpxlengths">
 <div class="col-sm-4">
 <p class="h4">String Lengths</p>
-<div id="ubzdwkajsv" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#ubzdwkajsv table {
+<div id="wtmvzlwzfn" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#wtmvzlwzfn table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#ubzdwkajsv thead, #ubzdwkajsv tbody, #ubzdwkajsv tfoot, #ubzdwkajsv tr, #ubzdwkajsv td, #ubzdwkajsv th {
+#wtmvzlwzfn thead, #wtmvzlwzfn tbody, #wtmvzlwzfn tfoot, #wtmvzlwzfn tr, #wtmvzlwzfn td, #wtmvzlwzfn th {
   border-style: none;
 }
 
-#ubzdwkajsv p {
+#wtmvzlwzfn p {
   margin: 0;
   padding: 0;
 }
 
-#ubzdwkajsv .gt_table {
+#wtmvzlwzfn .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -25387,12 +25387,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#ubzdwkajsv .gt_caption {
+#wtmvzlwzfn .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#ubzdwkajsv .gt_title {
+#wtmvzlwzfn .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -25404,7 +25404,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#ubzdwkajsv .gt_subtitle {
+#wtmvzlwzfn .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -25416,7 +25416,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#ubzdwkajsv .gt_heading {
+#wtmvzlwzfn .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -25428,13 +25428,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#ubzdwkajsv .gt_bottom_border {
+#wtmvzlwzfn .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#ubzdwkajsv .gt_col_headings {
+#wtmvzlwzfn .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -25449,7 +25449,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#ubzdwkajsv .gt_col_heading {
+#wtmvzlwzfn .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -25469,7 +25469,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#ubzdwkajsv .gt_column_spanner_outer {
+#wtmvzlwzfn .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -25481,15 +25481,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#ubzdwkajsv .gt_column_spanner_outer:first-child {
+#wtmvzlwzfn .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#ubzdwkajsv .gt_column_spanner_outer:last-child {
+#wtmvzlwzfn .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#ubzdwkajsv .gt_column_spanner {
+#wtmvzlwzfn .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -25501,11 +25501,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#ubzdwkajsv .gt_spanner_row {
+#wtmvzlwzfn .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#ubzdwkajsv .gt_group_heading {
+#wtmvzlwzfn .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -25531,7 +25531,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#ubzdwkajsv .gt_empty_group_heading {
+#wtmvzlwzfn .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -25546,15 +25546,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#ubzdwkajsv .gt_from_md > :first-child {
+#wtmvzlwzfn .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#ubzdwkajsv .gt_from_md > :last-child {
+#wtmvzlwzfn .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#ubzdwkajsv .gt_row {
+#wtmvzlwzfn .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -25573,7 +25573,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#ubzdwkajsv .gt_stub {
+#wtmvzlwzfn .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -25586,7 +25586,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#ubzdwkajsv .gt_stub_row_group {
+#wtmvzlwzfn .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -25600,15 +25600,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#ubzdwkajsv .gt_row_group_first td {
+#wtmvzlwzfn .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#ubzdwkajsv .gt_row_group_first th {
+#wtmvzlwzfn .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#ubzdwkajsv .gt_summary_row {
+#wtmvzlwzfn .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -25618,16 +25618,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#ubzdwkajsv .gt_first_summary_row {
+#wtmvzlwzfn .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#ubzdwkajsv .gt_first_summary_row.thick {
+#wtmvzlwzfn .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#ubzdwkajsv .gt_last_summary_row {
+#wtmvzlwzfn .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -25637,7 +25637,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#ubzdwkajsv .gt_grand_summary_row {
+#wtmvzlwzfn .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -25647,7 +25647,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#ubzdwkajsv .gt_first_grand_summary_row {
+#wtmvzlwzfn .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -25657,7 +25657,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#ubzdwkajsv .gt_last_grand_summary_row_top {
+#wtmvzlwzfn .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -25667,11 +25667,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#ubzdwkajsv .gt_striped {
+#wtmvzlwzfn .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#ubzdwkajsv .gt_table_body {
+#wtmvzlwzfn .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -25680,7 +25680,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#ubzdwkajsv .gt_footnotes {
+#wtmvzlwzfn .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -25694,7 +25694,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#ubzdwkajsv .gt_footnote {
+#wtmvzlwzfn .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -25703,7 +25703,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#ubzdwkajsv .gt_sourcenotes {
+#wtmvzlwzfn .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -25717,7 +25717,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#ubzdwkajsv .gt_sourcenote {
+#wtmvzlwzfn .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -25725,63 +25725,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#ubzdwkajsv .gt_left {
+#wtmvzlwzfn .gt_left {
   text-align: left;
 }
 
-#ubzdwkajsv .gt_center {
+#wtmvzlwzfn .gt_center {
   text-align: center;
 }
 
-#ubzdwkajsv .gt_right {
+#wtmvzlwzfn .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#ubzdwkajsv .gt_font_normal {
+#wtmvzlwzfn .gt_font_normal {
   font-weight: normal;
 }
 
-#ubzdwkajsv .gt_font_bold {
+#wtmvzlwzfn .gt_font_bold {
   font-weight: bold;
 }
 
-#ubzdwkajsv .gt_font_italic {
+#wtmvzlwzfn .gt_font_italic {
   font-style: italic;
 }
 
-#ubzdwkajsv .gt_super {
+#wtmvzlwzfn .gt_super {
   font-size: 65%;
 }
 
-#ubzdwkajsv .gt_footnote_marks {
+#wtmvzlwzfn .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#ubzdwkajsv .gt_asterisk {
+#wtmvzlwzfn .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#ubzdwkajsv .gt_indent_1 {
+#wtmvzlwzfn .gt_indent_1 {
   text-indent: 5px;
 }
 
-#ubzdwkajsv .gt_indent_2 {
+#wtmvzlwzfn .gt_indent_2 {
   text-indent: 10px;
 }
 
-#ubzdwkajsv .gt_indent_3 {
+#wtmvzlwzfn .gt_indent_3 {
   text-indent: 15px;
 }
 
-#ubzdwkajsv .gt_indent_4 {
+#wtmvzlwzfn .gt_indent_4 {
   text-indent: 20px;
 }
 
-#ubzdwkajsv .gt_indent_5 {
+#wtmvzlwzfn .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -25813,11 +25813,11 @@ <h2 class="page-header">Variables</h2>
 </a>
 </div>
 <div class="row spacing">
-<a class="anchor-pos anchor-pos-variable" id="pp_var_itmzxtkjtw">
+<a class="anchor-pos anchor-pos-variable" id="pp_var_qvmqphqeqr">
 <div class="variable">
 <div class="col-sm-3">
 <p class="h4" style="margin-bottom:0;margin-top:-2px;" title="Family">
-<a href="#pp_var_itmzxtkjtw">
+<a href="#pp_var_qvmqphqeqr">
 Family
 <br><small style="margin-top:0;">
 <code>character</code>
@@ -25826,23 +25826,23 @@ <h2 class="page-header">Variables</h2>
 </p>
 </div>
 <div class="col-sm-5">
-<div id="aiofzkvtyb" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#aiofzkvtyb table {
+<div id="vhlxsjgyoe" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#vhlxsjgyoe table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#aiofzkvtyb thead, #aiofzkvtyb tbody, #aiofzkvtyb tfoot, #aiofzkvtyb tr, #aiofzkvtyb td, #aiofzkvtyb th {
+#vhlxsjgyoe thead, #vhlxsjgyoe tbody, #vhlxsjgyoe tfoot, #vhlxsjgyoe tr, #vhlxsjgyoe td, #vhlxsjgyoe th {
   border-style: none;
 }
 
-#aiofzkvtyb p {
+#vhlxsjgyoe p {
   margin: 0;
   padding: 0;
 }
 
-#aiofzkvtyb .gt_table {
+#vhlxsjgyoe .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -25868,12 +25868,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#aiofzkvtyb .gt_caption {
+#vhlxsjgyoe .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#aiofzkvtyb .gt_title {
+#vhlxsjgyoe .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -25885,7 +25885,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#aiofzkvtyb .gt_subtitle {
+#vhlxsjgyoe .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -25897,7 +25897,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#aiofzkvtyb .gt_heading {
+#vhlxsjgyoe .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -25909,13 +25909,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#aiofzkvtyb .gt_bottom_border {
+#vhlxsjgyoe .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#aiofzkvtyb .gt_col_headings {
+#vhlxsjgyoe .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -25930,7 +25930,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#aiofzkvtyb .gt_col_heading {
+#vhlxsjgyoe .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -25950,7 +25950,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#aiofzkvtyb .gt_column_spanner_outer {
+#vhlxsjgyoe .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -25962,15 +25962,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#aiofzkvtyb .gt_column_spanner_outer:first-child {
+#vhlxsjgyoe .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#aiofzkvtyb .gt_column_spanner_outer:last-child {
+#vhlxsjgyoe .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#aiofzkvtyb .gt_column_spanner {
+#vhlxsjgyoe .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -25982,11 +25982,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#aiofzkvtyb .gt_spanner_row {
+#vhlxsjgyoe .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#aiofzkvtyb .gt_group_heading {
+#vhlxsjgyoe .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -26012,7 +26012,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#aiofzkvtyb .gt_empty_group_heading {
+#vhlxsjgyoe .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -26027,15 +26027,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#aiofzkvtyb .gt_from_md > :first-child {
+#vhlxsjgyoe .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#aiofzkvtyb .gt_from_md > :last-child {
+#vhlxsjgyoe .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#aiofzkvtyb .gt_row {
+#vhlxsjgyoe .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -26054,7 +26054,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#aiofzkvtyb .gt_stub {
+#vhlxsjgyoe .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -26067,7 +26067,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#aiofzkvtyb .gt_stub_row_group {
+#vhlxsjgyoe .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -26081,15 +26081,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#aiofzkvtyb .gt_row_group_first td {
+#vhlxsjgyoe .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#aiofzkvtyb .gt_row_group_first th {
+#vhlxsjgyoe .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#aiofzkvtyb .gt_summary_row {
+#vhlxsjgyoe .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -26099,16 +26099,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#aiofzkvtyb .gt_first_summary_row {
+#vhlxsjgyoe .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#aiofzkvtyb .gt_first_summary_row.thick {
+#vhlxsjgyoe .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#aiofzkvtyb .gt_last_summary_row {
+#vhlxsjgyoe .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -26118,7 +26118,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#aiofzkvtyb .gt_grand_summary_row {
+#vhlxsjgyoe .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -26128,7 +26128,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#aiofzkvtyb .gt_first_grand_summary_row {
+#vhlxsjgyoe .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -26138,7 +26138,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#aiofzkvtyb .gt_last_grand_summary_row_top {
+#vhlxsjgyoe .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -26148,11 +26148,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#aiofzkvtyb .gt_striped {
+#vhlxsjgyoe .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#aiofzkvtyb .gt_table_body {
+#vhlxsjgyoe .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -26161,7 +26161,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#aiofzkvtyb .gt_footnotes {
+#vhlxsjgyoe .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -26175,7 +26175,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#aiofzkvtyb .gt_footnote {
+#vhlxsjgyoe .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -26184,7 +26184,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#aiofzkvtyb .gt_sourcenotes {
+#vhlxsjgyoe .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -26198,7 +26198,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#aiofzkvtyb .gt_sourcenote {
+#vhlxsjgyoe .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -26206,63 +26206,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#aiofzkvtyb .gt_left {
+#vhlxsjgyoe .gt_left {
   text-align: left;
 }
 
-#aiofzkvtyb .gt_center {
+#vhlxsjgyoe .gt_center {
   text-align: center;
 }
 
-#aiofzkvtyb .gt_right {
+#vhlxsjgyoe .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#aiofzkvtyb .gt_font_normal {
+#vhlxsjgyoe .gt_font_normal {
   font-weight: normal;
 }
 
-#aiofzkvtyb .gt_font_bold {
+#vhlxsjgyoe .gt_font_bold {
   font-weight: bold;
 }
 
-#aiofzkvtyb .gt_font_italic {
+#vhlxsjgyoe .gt_font_italic {
   font-style: italic;
 }
 
-#aiofzkvtyb .gt_super {
+#vhlxsjgyoe .gt_super {
   font-size: 65%;
 }
 
-#aiofzkvtyb .gt_footnote_marks {
+#vhlxsjgyoe .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#aiofzkvtyb .gt_asterisk {
+#vhlxsjgyoe .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#aiofzkvtyb .gt_indent_1 {
+#vhlxsjgyoe .gt_indent_1 {
   text-indent: 5px;
 }
 
-#aiofzkvtyb .gt_indent_2 {
+#vhlxsjgyoe .gt_indent_2 {
   text-indent: 10px;
 }
 
-#aiofzkvtyb .gt_indent_3 {
+#vhlxsjgyoe .gt_indent_3 {
   text-indent: 15px;
 }
 
-#aiofzkvtyb .gt_indent_4 {
+#vhlxsjgyoe .gt_indent_4 {
   text-indent: 20px;
 }
 
-#aiofzkvtyb .gt_indent_5 {
+#vhlxsjgyoe .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -26290,39 +26290,39 @@ <h2 class="page-header">Variables</h2>
 </div>
 <div class="col-sm-4"> </div>
 <div class="col-sm-12 text-left">
-<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-itmzxtkjtw, #minifreqtableitmzxtkjtw" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
+<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-qvmqphqeqr, #minifreqtableqvmqphqeqr" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
 </div>
-<div id="bottom-itmzxtkjtw" class="collapse" aria-expanded="false" style="height: 5px;">
+<div id="bottom-qvmqphqeqr" class="collapse" aria-expanded="false" style="height: 5px;">
 <div class="row spacing">
 <ul class="nav nav-tabs" role="tablist">
 <li role="presentation" class="active" style="padding-top: 5px;">
-<a href="#itmzxtkjtwbottom-itmzxtkjtwcommon_values" aria-controls="itmzxtkjtwbottom-itmzxtkjtwcommon_values" role="tab" data-toggle="tab">Common Values</a>
+<a href="#qvmqphqeqrbottom-qvmqphqeqrcommon_values" aria-controls="qvmqphqeqrbottom-qvmqphqeqrcommon_values" role="tab" data-toggle="tab">Common Values</a>
 </li>
 <li role="presentation" class="" style="padding-top: 5px;">
-<a href="#itmzxtkjtwbottom-itmzxtkjtwlengths" aria-controls="itmzxtkjtwbottom-itmzxtkjtwlengths" role="tab" data-toggle="tab">String Lengths</a>
+<a href="#qvmqphqeqrbottom-qvmqphqeqrlengths" aria-controls="qvmqphqeqrbottom-qvmqphqeqrlengths" role="tab" data-toggle="tab">String Lengths</a>
 </li>
 </ul>
 <div class="tab-content">
-<div role="tabpanel" class="tab-pane col-sm-12 active" id="itmzxtkjtwbottom-itmzxtkjtwcommon_values">
+<div role="tabpanel" class="tab-pane col-sm-12 active" id="qvmqphqeqrbottom-qvmqphqeqrcommon_values">
 <div class="col-sm-12">
 <p class="h4"></p>
-<div id="cyigadrmky" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#cyigadrmky table {
+<div id="gsczsquxrs" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#gsczsquxrs table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#cyigadrmky thead, #cyigadrmky tbody, #cyigadrmky tfoot, #cyigadrmky tr, #cyigadrmky td, #cyigadrmky th {
+#gsczsquxrs thead, #gsczsquxrs tbody, #gsczsquxrs tfoot, #gsczsquxrs tr, #gsczsquxrs td, #gsczsquxrs th {
   border-style: none;
 }
 
-#cyigadrmky p {
+#gsczsquxrs p {
   margin: 0;
   padding: 0;
 }
 
-#cyigadrmky .gt_table {
+#gsczsquxrs .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -26348,12 +26348,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#cyigadrmky .gt_caption {
+#gsczsquxrs .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#cyigadrmky .gt_title {
+#gsczsquxrs .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -26365,7 +26365,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#cyigadrmky .gt_subtitle {
+#gsczsquxrs .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -26377,7 +26377,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#cyigadrmky .gt_heading {
+#gsczsquxrs .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -26389,13 +26389,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#cyigadrmky .gt_bottom_border {
+#gsczsquxrs .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#cyigadrmky .gt_col_headings {
+#gsczsquxrs .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -26410,7 +26410,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#cyigadrmky .gt_col_heading {
+#gsczsquxrs .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -26430,7 +26430,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#cyigadrmky .gt_column_spanner_outer {
+#gsczsquxrs .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -26442,15 +26442,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#cyigadrmky .gt_column_spanner_outer:first-child {
+#gsczsquxrs .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#cyigadrmky .gt_column_spanner_outer:last-child {
+#gsczsquxrs .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#cyigadrmky .gt_column_spanner {
+#gsczsquxrs .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -26462,11 +26462,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#cyigadrmky .gt_spanner_row {
+#gsczsquxrs .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#cyigadrmky .gt_group_heading {
+#gsczsquxrs .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -26492,7 +26492,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#cyigadrmky .gt_empty_group_heading {
+#gsczsquxrs .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -26507,15 +26507,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#cyigadrmky .gt_from_md > :first-child {
+#gsczsquxrs .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#cyigadrmky .gt_from_md > :last-child {
+#gsczsquxrs .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#cyigadrmky .gt_row {
+#gsczsquxrs .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -26534,7 +26534,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#cyigadrmky .gt_stub {
+#gsczsquxrs .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -26547,7 +26547,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#cyigadrmky .gt_stub_row_group {
+#gsczsquxrs .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -26561,15 +26561,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#cyigadrmky .gt_row_group_first td {
+#gsczsquxrs .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#cyigadrmky .gt_row_group_first th {
+#gsczsquxrs .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#cyigadrmky .gt_summary_row {
+#gsczsquxrs .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -26579,16 +26579,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#cyigadrmky .gt_first_summary_row {
+#gsczsquxrs .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#cyigadrmky .gt_first_summary_row.thick {
+#gsczsquxrs .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#cyigadrmky .gt_last_summary_row {
+#gsczsquxrs .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -26598,7 +26598,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#cyigadrmky .gt_grand_summary_row {
+#gsczsquxrs .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -26608,7 +26608,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#cyigadrmky .gt_first_grand_summary_row {
+#gsczsquxrs .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -26618,7 +26618,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#cyigadrmky .gt_last_grand_summary_row_top {
+#gsczsquxrs .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -26628,11 +26628,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#cyigadrmky .gt_striped {
+#gsczsquxrs .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#cyigadrmky .gt_table_body {
+#gsczsquxrs .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -26641,7 +26641,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#cyigadrmky .gt_footnotes {
+#gsczsquxrs .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -26655,7 +26655,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#cyigadrmky .gt_footnote {
+#gsczsquxrs .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -26664,7 +26664,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#cyigadrmky .gt_sourcenotes {
+#gsczsquxrs .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -26678,7 +26678,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#cyigadrmky .gt_sourcenote {
+#gsczsquxrs .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -26686,63 +26686,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#cyigadrmky .gt_left {
+#gsczsquxrs .gt_left {
   text-align: left;
 }
 
-#cyigadrmky .gt_center {
+#gsczsquxrs .gt_center {
   text-align: center;
 }
 
-#cyigadrmky .gt_right {
+#gsczsquxrs .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#cyigadrmky .gt_font_normal {
+#gsczsquxrs .gt_font_normal {
   font-weight: normal;
 }
 
-#cyigadrmky .gt_font_bold {
+#gsczsquxrs .gt_font_bold {
   font-weight: bold;
 }
 
-#cyigadrmky .gt_font_italic {
+#gsczsquxrs .gt_font_italic {
   font-style: italic;
 }
 
-#cyigadrmky .gt_super {
+#gsczsquxrs .gt_super {
   font-size: 65%;
 }
 
-#cyigadrmky .gt_footnote_marks {
+#gsczsquxrs .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#cyigadrmky .gt_asterisk {
+#gsczsquxrs .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#cyigadrmky .gt_indent_1 {
+#gsczsquxrs .gt_indent_1 {
   text-indent: 5px;
 }
 
-#cyigadrmky .gt_indent_2 {
+#gsczsquxrs .gt_indent_2 {
   text-indent: 10px;
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-#cyigadrmky .gt_indent_3 {
+#gsczsquxrs .gt_indent_3 {
   text-indent: 15px;
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-#cyigadrmky .gt_indent_4 {
+#gsczsquxrs .gt_indent_4 {
   text-indent: 20px;
 }
 
-#cyigadrmky .gt_indent_5 {
+#gsczsquxrs .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -26810,26 +26810,26 @@ <h2 class="page-header">Variables</h2>
 </div>
 </div>
 </div>
-<div role="tabpanel" class="tab-pane col-sm-12" id="itmzxtkjtwbottom-itmzxtkjtwlengths">
+<div role="tabpanel" class="tab-pane col-sm-12" id="qvmqphqeqrbottom-qvmqphqeqrlengths">
 <div class="col-sm-4">
 <p class="h4">String Lengths</p>
-<div id="gfdgnvepoq" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#gfdgnvepoq table {
+<div id="vgzazxqtlo" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#vgzazxqtlo table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#gfdgnvepoq thead, #gfdgnvepoq tbody, #gfdgnvepoq tfoot, #gfdgnvepoq tr, #gfdgnvepoq td, #gfdgnvepoq th {
+#vgzazxqtlo thead, #vgzazxqtlo tbody, #vgzazxqtlo tfoot, #vgzazxqtlo tr, #vgzazxqtlo td, #vgzazxqtlo th {
   border-style: none;
 }
 
-#gfdgnvepoq p {
+#vgzazxqtlo p {
   margin: 0;
   padding: 0;
 }
 
-#gfdgnvepoq .gt_table {
+#vgzazxqtlo .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -26855,12 +26855,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#gfdgnvepoq .gt_caption {
+#vgzazxqtlo .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#gfdgnvepoq .gt_title {
+#vgzazxqtlo .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -26872,7 +26872,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#gfdgnvepoq .gt_subtitle {
+#vgzazxqtlo .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -26884,7 +26884,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#gfdgnvepoq .gt_heading {
+#vgzazxqtlo .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -26896,13 +26896,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#gfdgnvepoq .gt_bottom_border {
+#vgzazxqtlo .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#gfdgnvepoq .gt_col_headings {
+#vgzazxqtlo .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -26917,7 +26917,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#gfdgnvepoq .gt_col_heading {
+#vgzazxqtlo .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -26937,7 +26937,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#gfdgnvepoq .gt_column_spanner_outer {
+#vgzazxqtlo .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -26949,15 +26949,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#gfdgnvepoq .gt_column_spanner_outer:first-child {
+#vgzazxqtlo .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#gfdgnvepoq .gt_column_spanner_outer:last-child {
+#vgzazxqtlo .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#gfdgnvepoq .gt_column_spanner {
+#vgzazxqtlo .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -26969,11 +26969,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#gfdgnvepoq .gt_spanner_row {
+#vgzazxqtlo .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#gfdgnvepoq .gt_group_heading {
+#vgzazxqtlo .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -26999,7 +26999,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#gfdgnvepoq .gt_empty_group_heading {
+#vgzazxqtlo .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -27014,15 +27014,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#gfdgnvepoq .gt_from_md > :first-child {
+#vgzazxqtlo .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#gfdgnvepoq .gt_from_md > :last-child {
+#vgzazxqtlo .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#gfdgnvepoq .gt_row {
+#vgzazxqtlo .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -27041,7 +27041,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#gfdgnvepoq .gt_stub {
+#vgzazxqtlo .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -27054,7 +27054,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#gfdgnvepoq .gt_stub_row_group {
+#vgzazxqtlo .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -27068,15 +27068,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#gfdgnvepoq .gt_row_group_first td {
+#vgzazxqtlo .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#gfdgnvepoq .gt_row_group_first th {
+#vgzazxqtlo .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#gfdgnvepoq .gt_summary_row {
+#vgzazxqtlo .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -27086,16 +27086,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#gfdgnvepoq .gt_first_summary_row {
+#vgzazxqtlo .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#gfdgnvepoq .gt_first_summary_row.thick {
+#vgzazxqtlo .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#gfdgnvepoq .gt_last_summary_row {
+#vgzazxqtlo .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -27105,7 +27105,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#gfdgnvepoq .gt_grand_summary_row {
+#vgzazxqtlo .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -27115,7 +27115,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#gfdgnvepoq .gt_first_grand_summary_row {
+#vgzazxqtlo .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -27125,7 +27125,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#gfdgnvepoq .gt_last_grand_summary_row_top {
+#vgzazxqtlo .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -27135,11 +27135,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#gfdgnvepoq .gt_striped {
+#vgzazxqtlo .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#gfdgnvepoq .gt_table_body {
+#vgzazxqtlo .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -27148,7 +27148,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#gfdgnvepoq .gt_footnotes {
+#vgzazxqtlo .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -27162,7 +27162,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#gfdgnvepoq .gt_footnote {
+#vgzazxqtlo .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -27171,7 +27171,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#gfdgnvepoq .gt_sourcenotes {
+#vgzazxqtlo .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -27185,7 +27185,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#gfdgnvepoq .gt_sourcenote {
+#vgzazxqtlo .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -27193,63 +27193,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#gfdgnvepoq .gt_left {
+#vgzazxqtlo .gt_left {
   text-align: left;
 }
 
-#gfdgnvepoq .gt_center {
+#vgzazxqtlo .gt_center {
   text-align: center;
 }
 
-#gfdgnvepoq .gt_right {
+#vgzazxqtlo .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#gfdgnvepoq .gt_font_normal {
+#vgzazxqtlo .gt_font_normal {
   font-weight: normal;
 }
 
-#gfdgnvepoq .gt_font_bold {
+#vgzazxqtlo .gt_font_bold {
   font-weight: bold;
 }
 
-#gfdgnvepoq .gt_font_italic {
+#vgzazxqtlo .gt_font_italic {
   font-style: italic;
 }
 
-#gfdgnvepoq .gt_super {
+#vgzazxqtlo .gt_super {
   font-size: 65%;
 }
 
-#gfdgnvepoq .gt_footnote_marks {
+#vgzazxqtlo .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#gfdgnvepoq .gt_asterisk {
+#vgzazxqtlo .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#gfdgnvepoq .gt_indent_1 {
+#vgzazxqtlo .gt_indent_1 {
   text-indent: 5px;
 }
 
-#gfdgnvepoq .gt_indent_2 {
+#vgzazxqtlo .gt_indent_2 {
   text-indent: 10px;
 }
 
-#gfdgnvepoq .gt_indent_3 {
+#vgzazxqtlo .gt_indent_3 {
   text-indent: 15px;
 }
 
-#gfdgnvepoq .gt_indent_4 {
+#vgzazxqtlo .gt_indent_4 {
   text-indent: 20px;
 }
 
-#gfdgnvepoq .gt_indent_5 {
+#vgzazxqtlo .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -27281,11 +27281,11 @@ <h2 class="page-header">Variables</h2>
 </a>
 </div>
 <div class="row spacing">
-<a class="anchor-pos anchor-pos-variable" id="pp_var_zcmsexwhmv">
+<a class="anchor-pos anchor-pos-variable" id="pp_var_wftstnjixq">
 <div class="variable">
 <div class="col-sm-3">
 <p class="h4" style="margin-bottom:0;margin-top:-2px;" title="Genus">
-<a href="#pp_var_zcmsexwhmv">
+<a href="#pp_var_wftstnjixq">
 Genus
 <br><small style="margin-top:0;">
 <code>character</code>
@@ -27294,23 +27294,23 @@ <h2 class="page-header">Variables</h2>
 </p>
 </div>
 <div class="col-sm-5">
-<div id="hvfjszqtgy" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#hvfjszqtgy table {
+<div id="ullbthkoey" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#ullbthkoey table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#hvfjszqtgy thead, #hvfjszqtgy tbody, #hvfjszqtgy tfoot, #hvfjszqtgy tr, #hvfjszqtgy td, #hvfjszqtgy th {
+#ullbthkoey thead, #ullbthkoey tbody, #ullbthkoey tfoot, #ullbthkoey tr, #ullbthkoey td, #ullbthkoey th {
   border-style: none;
 }
 
-#hvfjszqtgy p {
+#ullbthkoey p {
   margin: 0;
   padding: 0;
 }
 
-#hvfjszqtgy .gt_table {
+#ullbthkoey .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -27336,12 +27336,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#hvfjszqtgy .gt_caption {
+#ullbthkoey .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#hvfjszqtgy .gt_title {
+#ullbthkoey .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -27353,7 +27353,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#hvfjszqtgy .gt_subtitle {
+#ullbthkoey .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -27365,7 +27365,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#hvfjszqtgy .gt_heading {
+#ullbthkoey .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -27377,13 +27377,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#hvfjszqtgy .gt_bottom_border {
+#ullbthkoey .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#hvfjszqtgy .gt_col_headings {
+#ullbthkoey .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -27398,7 +27398,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#hvfjszqtgy .gt_col_heading {
+#ullbthkoey .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -27418,7 +27418,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#hvfjszqtgy .gt_column_spanner_outer {
+#ullbthkoey .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -27430,15 +27430,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#hvfjszqtgy .gt_column_spanner_outer:first-child {
+#ullbthkoey .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#hvfjszqtgy .gt_column_spanner_outer:last-child {
+#ullbthkoey .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#hvfjszqtgy .gt_column_spanner {
+#ullbthkoey .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -27450,11 +27450,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#hvfjszqtgy .gt_spanner_row {
+#ullbthkoey .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#hvfjszqtgy .gt_group_heading {
+#ullbthkoey .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -27480,7 +27480,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#hvfjszqtgy .gt_empty_group_heading {
+#ullbthkoey .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -27495,15 +27495,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#hvfjszqtgy .gt_from_md > :first-child {
+#ullbthkoey .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#hvfjszqtgy .gt_from_md > :last-child {
+#ullbthkoey .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#hvfjszqtgy .gt_row {
+#ullbthkoey .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -27522,7 +27522,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#hvfjszqtgy .gt_stub {
+#ullbthkoey .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -27535,7 +27535,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#hvfjszqtgy .gt_stub_row_group {
+#ullbthkoey .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -27549,15 +27549,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#hvfjszqtgy .gt_row_group_first td {
+#ullbthkoey .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#hvfjszqtgy .gt_row_group_first th {
+#ullbthkoey .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#hvfjszqtgy .gt_summary_row {
+#ullbthkoey .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -27567,16 +27567,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#hvfjszqtgy .gt_first_summary_row {
+#ullbthkoey .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#hvfjszqtgy .gt_first_summary_row.thick {
+#ullbthkoey .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#hvfjszqtgy .gt_last_summary_row {
+#ullbthkoey .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -27586,7 +27586,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#hvfjszqtgy .gt_grand_summary_row {
+#ullbthkoey .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -27596,7 +27596,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#hvfjszqtgy .gt_first_grand_summary_row {
+#ullbthkoey .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -27606,7 +27606,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#hvfjszqtgy .gt_last_grand_summary_row_top {
+#ullbthkoey .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -27616,11 +27616,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#hvfjszqtgy .gt_striped {
+#ullbthkoey .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#hvfjszqtgy .gt_table_body {
+#ullbthkoey .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -27629,7 +27629,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#hvfjszqtgy .gt_footnotes {
+#ullbthkoey .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -27643,7 +27643,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#hvfjszqtgy .gt_footnote {
+#ullbthkoey .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -27652,7 +27652,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#hvfjszqtgy .gt_sourcenotes {
+#ullbthkoey .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -27666,7 +27666,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#hvfjszqtgy .gt_sourcenote {
+#ullbthkoey .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -27674,63 +27674,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#hvfjszqtgy .gt_left {
+#ullbthkoey .gt_left {
   text-align: left;
 }
 
-#hvfjszqtgy .gt_center {
+#ullbthkoey .gt_center {
   text-align: center;
 }
 
-#hvfjszqtgy .gt_right {
+#ullbthkoey .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#hvfjszqtgy .gt_font_normal {
+#ullbthkoey .gt_font_normal {
   font-weight: normal;
 }
 
-#hvfjszqtgy .gt_font_bold {
+#ullbthkoey .gt_font_bold {
   font-weight: bold;
 }
 
-#hvfjszqtgy .gt_font_italic {
+#ullbthkoey .gt_font_italic {
   font-style: italic;
 }
 
-#hvfjszqtgy .gt_super {
+#ullbthkoey .gt_super {
   font-size: 65%;
 }
 
-#hvfjszqtgy .gt_footnote_marks {
+#ullbthkoey .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#hvfjszqtgy .gt_asterisk {
+#ullbthkoey .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#hvfjszqtgy .gt_indent_1 {
+#ullbthkoey .gt_indent_1 {
   text-indent: 5px;
 }
 
-#hvfjszqtgy .gt_indent_2 {
+#ullbthkoey .gt_indent_2 {
   text-indent: 10px;
 }
 
-#hvfjszqtgy .gt_indent_3 {
+#ullbthkoey .gt_indent_3 {
   text-indent: 15px;
 }
 
-#hvfjszqtgy .gt_indent_4 {
+#ullbthkoey .gt_indent_4 {
   text-indent: 20px;
 }
 
-#hvfjszqtgy .gt_indent_5 {
+#ullbthkoey .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -27758,39 +27758,39 @@ <h2 class="page-header">Variables</h2>
 </div>
 <div class="col-sm-4"> </div>
 <div class="col-sm-12 text-left">
-<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-zcmsexwhmv, #minifreqtablezcmsexwhmv" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
+<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-wftstnjixq, #minifreqtablewftstnjixq" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
 </div>
-<div id="bottom-zcmsexwhmv" class="collapse" aria-expanded="false" style="height: 5px;">
+<div id="bottom-wftstnjixq" class="collapse" aria-expanded="false" style="height: 5px;">
 <div class="row spacing">
 <ul class="nav nav-tabs" role="tablist">
 <li role="presentation" class="active" style="padding-top: 5px;">
-<a href="#zcmsexwhmvbottom-zcmsexwhmvcommon_values" aria-controls="zcmsexwhmvbottom-zcmsexwhmvcommon_values" role="tab" data-toggle="tab">Common Values</a>
+<a href="#wftstnjixqbottom-wftstnjixqcommon_values" aria-controls="wftstnjixqbottom-wftstnjixqcommon_values" role="tab" data-toggle="tab">Common Values</a>
 </li>
 <li role="presentation" class="" style="padding-top: 5px;">
-<a href="#zcmsexwhmvbottom-zcmsexwhmvlengths" aria-controls="zcmsexwhmvbottom-zcmsexwhmvlengths" role="tab" data-toggle="tab">String Lengths</a>
+<a href="#wftstnjixqbottom-wftstnjixqlengths" aria-controls="wftstnjixqbottom-wftstnjixqlengths" role="tab" data-toggle="tab">String Lengths</a>
 </li>
 </ul>
 <div class="tab-content">
-<div role="tabpanel" class="tab-pane col-sm-12 active" id="zcmsexwhmvbottom-zcmsexwhmvcommon_values">
+<div role="tabpanel" class="tab-pane col-sm-12 active" id="wftstnjixqbottom-wftstnjixqcommon_values">
 <div class="col-sm-12">
 <p class="h4"></p>
-<div id="yllgmiftya" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#yllgmiftya table {
+<div id="wbuovhqbwv" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#wbuovhqbwv table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#yllgmiftya thead, #yllgmiftya tbody, #yllgmiftya tfoot, #yllgmiftya tr, #yllgmiftya td, #yllgmiftya th {
+#wbuovhqbwv thead, #wbuovhqbwv tbody, #wbuovhqbwv tfoot, #wbuovhqbwv tr, #wbuovhqbwv td, #wbuovhqbwv th {
   border-style: none;
 }
 
-#yllgmiftya p {
+#wbuovhqbwv p {
   margin: 0;
   padding: 0;
 }
 
-#yllgmiftya .gt_table {
+#wbuovhqbwv .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -27816,12 +27816,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#yllgmiftya .gt_caption {
+#wbuovhqbwv .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#yllgmiftya .gt_title {
+#wbuovhqbwv .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -27833,7 +27833,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#yllgmiftya .gt_subtitle {
+#wbuovhqbwv .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -27845,7 +27845,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#yllgmiftya .gt_heading {
+#wbuovhqbwv .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -27857,13 +27857,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#yllgmiftya .gt_bottom_border {
+#wbuovhqbwv .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#yllgmiftya .gt_col_headings {
+#wbuovhqbwv .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -27878,7 +27878,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#yllgmiftya .gt_col_heading {
+#wbuovhqbwv .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -27898,7 +27898,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#yllgmiftya .gt_column_spanner_outer {
+#wbuovhqbwv .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -27910,15 +27910,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#yllgmiftya .gt_column_spanner_outer:first-child {
+#wbuovhqbwv .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#yllgmiftya .gt_column_spanner_outer:last-child {
+#wbuovhqbwv .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#yllgmiftya .gt_column_spanner {
+#wbuovhqbwv .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -27930,11 +27930,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#yllgmiftya .gt_spanner_row {
+#wbuovhqbwv .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#yllgmiftya .gt_group_heading {
+#wbuovhqbwv .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -27960,7 +27960,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#yllgmiftya .gt_empty_group_heading {
+#wbuovhqbwv .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -27975,15 +27975,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#yllgmiftya .gt_from_md > :first-child {
+#wbuovhqbwv .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#yllgmiftya .gt_from_md > :last-child {
+#wbuovhqbwv .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#yllgmiftya .gt_row {
+#wbuovhqbwv .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -28002,7 +28002,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#yllgmiftya .gt_stub {
+#wbuovhqbwv .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -28015,7 +28015,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#yllgmiftya .gt_stub_row_group {
+#wbuovhqbwv .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -28029,15 +28029,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#yllgmiftya .gt_row_group_first td {
+#wbuovhqbwv .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#yllgmiftya .gt_row_group_first th {
+#wbuovhqbwv .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#yllgmiftya .gt_summary_row {
+#wbuovhqbwv .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -28047,16 +28047,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#yllgmiftya .gt_first_summary_row {
+#wbuovhqbwv .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#yllgmiftya .gt_first_summary_row.thick {
+#wbuovhqbwv .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#yllgmiftya .gt_last_summary_row {
+#wbuovhqbwv .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -28066,7 +28066,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#yllgmiftya .gt_grand_summary_row {
+#wbuovhqbwv .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -28076,7 +28076,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#yllgmiftya .gt_first_grand_summary_row {
+#wbuovhqbwv .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -28086,7 +28086,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#yllgmiftya .gt_last_grand_summary_row_top {
+#wbuovhqbwv .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -28096,11 +28096,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#yllgmiftya .gt_striped {
+#wbuovhqbwv .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#yllgmiftya .gt_table_body {
+#wbuovhqbwv .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -28109,7 +28109,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#yllgmiftya .gt_footnotes {
+#wbuovhqbwv .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -28123,7 +28123,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#yllgmiftya .gt_footnote {
+#wbuovhqbwv .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -28132,7 +28132,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#yllgmiftya .gt_sourcenotes {
+#wbuovhqbwv .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -28146,7 +28146,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#yllgmiftya .gt_sourcenote {
+#wbuovhqbwv .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -28154,63 +28154,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#yllgmiftya .gt_left {
+#wbuovhqbwv .gt_left {
   text-align: left;
 }
 
-#yllgmiftya .gt_center {
+#wbuovhqbwv .gt_center {
   text-align: center;
 }
 
-#yllgmiftya .gt_right {
+#wbuovhqbwv .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#yllgmiftya .gt_font_normal {
+#wbuovhqbwv .gt_font_normal {
   font-weight: normal;
 }
 
-#yllgmiftya .gt_font_bold {
+#wbuovhqbwv .gt_font_bold {
   font-weight: bold;
 }
 
-#yllgmiftya .gt_font_italic {
+#wbuovhqbwv .gt_font_italic {
   font-style: italic;
 }
 
-#yllgmiftya .gt_super {
+#wbuovhqbwv .gt_super {
   font-size: 65%;
 }
 
-#yllgmiftya .gt_footnote_marks {
+#wbuovhqbwv .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#yllgmiftya .gt_asterisk {
+#wbuovhqbwv .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#yllgmiftya .gt_indent_1 {
+#wbuovhqbwv .gt_indent_1 {
   text-indent: 5px;
 }
 
-#yllgmiftya .gt_indent_2 {
+#wbuovhqbwv .gt_indent_2 {
   text-indent: 10px;
 }
 
-#yllgmiftya .gt_indent_3 {
+#wbuovhqbwv .gt_indent_3 {
   text-indent: 15px;
 }
 
-#yllgmiftya .gt_indent_4 {
+#wbuovhqbwv .gt_indent_4 {
   text-indent: 20px;
 }
 
-#yllgmiftya .gt_indent_5 {
+#wbuovhqbwv .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -28278,26 +28278,26 @@ <h2 class="page-header">Variables</h2>
 </div>
 </div>
 </div>
-<div role="tabpanel" class="tab-pane col-sm-12" id="zcmsexwhmvbottom-zcmsexwhmvlengths">
+<div role="tabpanel" class="tab-pane col-sm-12" id="wftstnjixqbottom-wftstnjixqlengths">
 <div class="col-sm-4">
 <p class="h4">String Lengths</p>
-<div id="cfiqjmbese" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#cfiqjmbese table {
+<div id="rddjhyigzj" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#rddjhyigzj table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#cfiqjmbese thead, #cfiqjmbese tbody, #cfiqjmbese tfoot, #cfiqjmbese tr, #cfiqjmbese td, #cfiqjmbese th {
+#rddjhyigzj thead, #rddjhyigzj tbody, #rddjhyigzj tfoot, #rddjhyigzj tr, #rddjhyigzj td, #rddjhyigzj th {
   border-style: none;
 }
 
-#cfiqjmbese p {
+#rddjhyigzj p {
   margin: 0;
   padding: 0;
 }
 
-#cfiqjmbese .gt_table {
+#rddjhyigzj .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -28323,12 +28323,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#cfiqjmbese .gt_caption {
+#rddjhyigzj .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#cfiqjmbese .gt_title {
+#rddjhyigzj .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -28340,7 +28340,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#cfiqjmbese .gt_subtitle {
+#rddjhyigzj .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -28352,7 +28352,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#cfiqjmbese .gt_heading {
+#rddjhyigzj .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -28364,13 +28364,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#cfiqjmbese .gt_bottom_border {
+#rddjhyigzj .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#cfiqjmbese .gt_col_headings {
+#rddjhyigzj .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -28385,7 +28385,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#cfiqjmbese .gt_col_heading {
+#rddjhyigzj .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -28405,7 +28405,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#cfiqjmbese .gt_column_spanner_outer {
+#rddjhyigzj .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -28417,15 +28417,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#cfiqjmbese .gt_column_spanner_outer:first-child {
+#rddjhyigzj .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#cfiqjmbese .gt_column_spanner_outer:last-child {
+#rddjhyigzj .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#cfiqjmbese .gt_column_spanner {
+#rddjhyigzj .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -28437,11 +28437,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#cfiqjmbese .gt_spanner_row {
+#rddjhyigzj .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#cfiqjmbese .gt_group_heading {
+#rddjhyigzj .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -28467,7 +28467,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#cfiqjmbese .gt_empty_group_heading {
+#rddjhyigzj .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -28482,15 +28482,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#cfiqjmbese .gt_from_md > :first-child {
+#rddjhyigzj .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#cfiqjmbese .gt_from_md > :last-child {
+#rddjhyigzj .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#cfiqjmbese .gt_row {
+#rddjhyigzj .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -28509,7 +28509,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#cfiqjmbese .gt_stub {
+#rddjhyigzj .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -28522,7 +28522,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#cfiqjmbese .gt_stub_row_group {
+#rddjhyigzj .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -28536,15 +28536,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#cfiqjmbese .gt_row_group_first td {
+#rddjhyigzj .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#cfiqjmbese .gt_row_group_first th {
+#rddjhyigzj .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#cfiqjmbese .gt_summary_row {
+#rddjhyigzj .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -28554,16 +28554,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#cfiqjmbese .gt_first_summary_row {
+#rddjhyigzj .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#cfiqjmbese .gt_first_summary_row.thick {
+#rddjhyigzj .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#cfiqjmbese .gt_last_summary_row {
+#rddjhyigzj .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -28573,7 +28573,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#cfiqjmbese .gt_grand_summary_row {
+#rddjhyigzj .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -28583,7 +28583,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#cfiqjmbese .gt_first_grand_summary_row {
+#rddjhyigzj .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -28593,7 +28593,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#cfiqjmbese .gt_last_grand_summary_row_top {
+#rddjhyigzj .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -28603,11 +28603,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#cfiqjmbese .gt_striped {
+#rddjhyigzj .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#cfiqjmbese .gt_table_body {
+#rddjhyigzj .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -28616,7 +28616,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#cfiqjmbese .gt_footnotes {
+#rddjhyigzj .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -28630,7 +28630,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#cfiqjmbese .gt_footnote {
+#rddjhyigzj .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -28639,7 +28639,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#cfiqjmbese .gt_sourcenotes {
+#rddjhyigzj .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -28653,7 +28653,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#cfiqjmbese .gt_sourcenote {
+#rddjhyigzj .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -28661,63 +28661,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#cfiqjmbese .gt_left {
+#rddjhyigzj .gt_left {
   text-align: left;
 }
 
-#cfiqjmbese .gt_center {
+#rddjhyigzj .gt_center {
   text-align: center;
 }
 
-#cfiqjmbese .gt_right {
+#rddjhyigzj .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#cfiqjmbese .gt_font_normal {
+#rddjhyigzj .gt_font_normal {
   font-weight: normal;
 }
 
-#cfiqjmbese .gt_font_bold {
+#rddjhyigzj .gt_font_bold {
   font-weight: bold;
 }
 
-#cfiqjmbese .gt_font_italic {
+#rddjhyigzj .gt_font_italic {
   font-style: italic;
 }
 
-#cfiqjmbese .gt_super {
+#rddjhyigzj .gt_super {
   font-size: 65%;
 }
 
-#cfiqjmbese .gt_footnote_marks {
+#rddjhyigzj .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#cfiqjmbese .gt_asterisk {
+#rddjhyigzj .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#cfiqjmbese .gt_indent_1 {
+#rddjhyigzj .gt_indent_1 {
   text-indent: 5px;
 }
 
-#cfiqjmbese .gt_indent_2 {
+#rddjhyigzj .gt_indent_2 {
   text-indent: 10px;
 }
 
-#cfiqjmbese .gt_indent_3 {
+#rddjhyigzj .gt_indent_3 {
   text-indent: 15px;
 }
 
-#cfiqjmbese .gt_indent_4 {
+#rddjhyigzj .gt_indent_4 {
   text-indent: 20px;
 }
 
-#cfiqjmbese .gt_indent_5 {
+#rddjhyigzj .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -28749,11 +28749,11 @@ <h2 class="page-header">Variables</h2>
 </a>
 </div>
 <div class="row spacing">
-<a class="anchor-pos anchor-pos-variable" id="pp_var_zrdxmkzxnl">
+<a class="anchor-pos anchor-pos-variable" id="pp_var_uqvvdqoobx">
 <div class="variable">
 <div class="col-sm-3">
 <p class="h4" style="margin-bottom:0;margin-top:-2px;" title="Species">
-<a href="#pp_var_zrdxmkzxnl">
+<a href="#pp_var_uqvvdqoobx">
 Species
 <br><small style="margin-top:0;">
 <code>character</code>
@@ -28762,23 +28762,23 @@ <h2 class="page-header">Variables</h2>
 </p>
 </div>
 <div class="col-sm-5">
-<div id="qmggfjzkai" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#qmggfjzkai table {
+<div id="ncoccwgtpq" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#ncoccwgtpq table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#qmggfjzkai thead, #qmggfjzkai tbody, #qmggfjzkai tfoot, #qmggfjzkai tr, #qmggfjzkai td, #qmggfjzkai th {
+#ncoccwgtpq thead, #ncoccwgtpq tbody, #ncoccwgtpq tfoot, #ncoccwgtpq tr, #ncoccwgtpq td, #ncoccwgtpq th {
   border-style: none;
 }
 
-#qmggfjzkai p {
+#ncoccwgtpq p {
   margin: 0;
   padding: 0;
 }
 
-#qmggfjzkai .gt_table {
+#ncoccwgtpq .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -28804,12 +28804,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#qmggfjzkai .gt_caption {
+#ncoccwgtpq .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#qmggfjzkai .gt_title {
+#ncoccwgtpq .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -28821,7 +28821,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#qmggfjzkai .gt_subtitle {
+#ncoccwgtpq .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -28833,7 +28833,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#qmggfjzkai .gt_heading {
+#ncoccwgtpq .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -28845,13 +28845,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#qmggfjzkai .gt_bottom_border {
+#ncoccwgtpq .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#qmggfjzkai .gt_col_headings {
+#ncoccwgtpq .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -28866,7 +28866,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#qmggfjzkai .gt_col_heading {
+#ncoccwgtpq .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -28886,7 +28886,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#qmggfjzkai .gt_column_spanner_outer {
+#ncoccwgtpq .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -28898,15 +28898,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#qmggfjzkai .gt_column_spanner_outer:first-child {
+#ncoccwgtpq .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#qmggfjzkai .gt_column_spanner_outer:last-child {
+#ncoccwgtpq .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#qmggfjzkai .gt_column_spanner {
+#ncoccwgtpq .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -28918,11 +28918,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#qmggfjzkai .gt_spanner_row {
+#ncoccwgtpq .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#qmggfjzkai .gt_group_heading {
+#ncoccwgtpq .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -28948,7 +28948,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#qmggfjzkai .gt_empty_group_heading {
+#ncoccwgtpq .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -28963,15 +28963,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#qmggfjzkai .gt_from_md > :first-child {
+#ncoccwgtpq .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#qmggfjzkai .gt_from_md > :last-child {
+#ncoccwgtpq .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#qmggfjzkai .gt_row {
+#ncoccwgtpq .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -28990,7 +28990,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#qmggfjzkai .gt_stub {
+#ncoccwgtpq .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -29003,7 +29003,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#qmggfjzkai .gt_stub_row_group {
+#ncoccwgtpq .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -29017,15 +29017,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#qmggfjzkai .gt_row_group_first td {
+#ncoccwgtpq .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#qmggfjzkai .gt_row_group_first th {
+#ncoccwgtpq .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#qmggfjzkai .gt_summary_row {
+#ncoccwgtpq .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -29035,16 +29035,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#qmggfjzkai .gt_first_summary_row {
+#ncoccwgtpq .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#qmggfjzkai .gt_first_summary_row.thick {
+#ncoccwgtpq .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#qmggfjzkai .gt_last_summary_row {
+#ncoccwgtpq .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -29054,7 +29054,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#qmggfjzkai .gt_grand_summary_row {
+#ncoccwgtpq .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -29064,7 +29064,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#qmggfjzkai .gt_first_grand_summary_row {
+#ncoccwgtpq .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -29074,7 +29074,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#qmggfjzkai .gt_last_grand_summary_row_top {
+#ncoccwgtpq .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -29084,11 +29084,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#qmggfjzkai .gt_striped {
+#ncoccwgtpq .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#qmggfjzkai .gt_table_body {
+#ncoccwgtpq .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -29097,7 +29097,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#qmggfjzkai .gt_footnotes {
+#ncoccwgtpq .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -29111,7 +29111,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#qmggfjzkai .gt_footnote {
+#ncoccwgtpq .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -29120,7 +29120,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#qmggfjzkai .gt_sourcenotes {
+#ncoccwgtpq .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -29134,7 +29134,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#qmggfjzkai .gt_sourcenote {
+#ncoccwgtpq .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -29142,63 +29142,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#qmggfjzkai .gt_left {
+#ncoccwgtpq .gt_left {
   text-align: left;
 }
 
-#qmggfjzkai .gt_center {
+#ncoccwgtpq .gt_center {
   text-align: center;
 }
 
-#qmggfjzkai .gt_right {
+#ncoccwgtpq .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#qmggfjzkai .gt_font_normal {
+#ncoccwgtpq .gt_font_normal {
   font-weight: normal;
 }
 
-#qmggfjzkai .gt_font_bold {
+#ncoccwgtpq .gt_font_bold {
   font-weight: bold;
 }
 
-#qmggfjzkai .gt_font_italic {
+#ncoccwgtpq .gt_font_italic {
   font-style: italic;
 }
 
-#qmggfjzkai .gt_super {
+#ncoccwgtpq .gt_super {
   font-size: 65%;
 }
 
-#qmggfjzkai .gt_footnote_marks {
+#ncoccwgtpq .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#qmggfjzkai .gt_asterisk {
+#ncoccwgtpq .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#qmggfjzkai .gt_indent_1 {
+#ncoccwgtpq .gt_indent_1 {
   text-indent: 5px;
 }
 
-#qmggfjzkai .gt_indent_2 {
+#ncoccwgtpq .gt_indent_2 {
   text-indent: 10px;
 }
 
-#qmggfjzkai .gt_indent_3 {
+#ncoccwgtpq .gt_indent_3 {
   text-indent: 15px;
 }
 
-#qmggfjzkai .gt_indent_4 {
+#ncoccwgtpq .gt_indent_4 {
   text-indent: 20px;
 }
 
-#qmggfjzkai .gt_indent_5 {
+#ncoccwgtpq .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -29226,39 +29226,39 @@ <h2 class="page-header">Variables</h2>
 </div>
 <div class="col-sm-4"> </div>
 <div class="col-sm-12 text-left">
-<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-zrdxmkzxnl, #minifreqtablezrdxmkzxnl" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
+<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-uqvvdqoobx, #minifreqtableuqvvdqoobx" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
 </div>
-<div id="bottom-zrdxmkzxnl" class="collapse" aria-expanded="false" style="height: 5px;">
+<div id="bottom-uqvvdqoobx" class="collapse" aria-expanded="false" style="height: 5px;">
 <div class="row spacing">
 <ul class="nav nav-tabs" role="tablist">
 <li role="presentation" class="active" style="padding-top: 5px;">
-<a href="#zrdxmkzxnlbottom-zrdxmkzxnlcommon_values" aria-controls="zrdxmkzxnlbottom-zrdxmkzxnlcommon_values" role="tab" data-toggle="tab">Common Values</a>
+<a href="#uqvvdqoobxbottom-uqvvdqoobxcommon_values" aria-controls="uqvvdqoobxbottom-uqvvdqoobxcommon_values" role="tab" data-toggle="tab">Common Values</a>
 </li>
 <li role="presentation" class="" style="padding-top: 5px;">
-<a href="#zrdxmkzxnlbottom-zrdxmkzxnllengths" aria-controls="zrdxmkzxnlbottom-zrdxmkzxnllengths" role="tab" data-toggle="tab">String Lengths</a>
+<a href="#uqvvdqoobxbottom-uqvvdqoobxlengths" aria-controls="uqvvdqoobxbottom-uqvvdqoobxlengths" role="tab" data-toggle="tab">String Lengths</a>
 </li>
 </ul>
 <div class="tab-content">
-<div role="tabpanel" class="tab-pane col-sm-12 active" id="zrdxmkzxnlbottom-zrdxmkzxnlcommon_values">
+<div role="tabpanel" class="tab-pane col-sm-12 active" id="uqvvdqoobxbottom-uqvvdqoobxcommon_values">
 <div class="col-sm-12">
 <p class="h4"></p>
-<div id="xgeyzalwby" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#xgeyzalwby table {
+<div id="offdfykanb" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#offdfykanb table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#xgeyzalwby thead, #xgeyzalwby tbody, #xgeyzalwby tfoot, #xgeyzalwby tr, #xgeyzalwby td, #xgeyzalwby th {
+#offdfykanb thead, #offdfykanb tbody, #offdfykanb tfoot, #offdfykanb tr, #offdfykanb td, #offdfykanb th {
   border-style: none;
 }
 
-#xgeyzalwby p {
+#offdfykanb p {
   margin: 0;
   padding: 0;
 }
 
-#xgeyzalwby .gt_table {
+#offdfykanb .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -29284,12 +29284,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#xgeyzalwby .gt_caption {
+#offdfykanb .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#xgeyzalwby .gt_title {
+#offdfykanb .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -29301,7 +29301,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#xgeyzalwby .gt_subtitle {
+#offdfykanb .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -29313,7 +29313,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#xgeyzalwby .gt_heading {
+#offdfykanb .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -29325,13 +29325,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#xgeyzalwby .gt_bottom_border {
+#offdfykanb .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#xgeyzalwby .gt_col_headings {
+#offdfykanb .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -29346,7 +29346,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#xgeyzalwby .gt_col_heading {
+#offdfykanb .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -29366,7 +29366,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#xgeyzalwby .gt_column_spanner_outer {
+#offdfykanb .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -29378,15 +29378,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#xgeyzalwby .gt_column_spanner_outer:first-child {
+#offdfykanb .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#xgeyzalwby .gt_column_spanner_outer:last-child {
+#offdfykanb .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#xgeyzalwby .gt_column_spanner {
+#offdfykanb .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -29398,11 +29398,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#xgeyzalwby .gt_spanner_row {
+#offdfykanb .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#xgeyzalwby .gt_group_heading {
+#offdfykanb .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -29428,7 +29428,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#xgeyzalwby .gt_empty_group_heading {
+#offdfykanb .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -29443,15 +29443,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#xgeyzalwby .gt_from_md > :first-child {
+#offdfykanb .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#xgeyzalwby .gt_from_md > :last-child {
+#offdfykanb .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#xgeyzalwby .gt_row {
+#offdfykanb .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -29470,7 +29470,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#xgeyzalwby .gt_stub {
+#offdfykanb .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -29483,7 +29483,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#xgeyzalwby .gt_stub_row_group {
+#offdfykanb .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -29497,15 +29497,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#xgeyzalwby .gt_row_group_first td {
+#offdfykanb .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#xgeyzalwby .gt_row_group_first th {
+#offdfykanb .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#xgeyzalwby .gt_summary_row {
+#offdfykanb .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -29515,16 +29515,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#xgeyzalwby .gt_first_summary_row {
+#offdfykanb .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#xgeyzalwby .gt_first_summary_row.thick {
+#offdfykanb .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#xgeyzalwby .gt_last_summary_row {
+#offdfykanb .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -29534,7 +29534,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#xgeyzalwby .gt_grand_summary_row {
+#offdfykanb .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -29544,7 +29544,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#xgeyzalwby .gt_first_grand_summary_row {
+#offdfykanb .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -29554,7 +29554,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#xgeyzalwby .gt_last_grand_summary_row_top {
+#offdfykanb .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -29564,11 +29564,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#xgeyzalwby .gt_striped {
+#offdfykanb .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#xgeyzalwby .gt_table_body {
+#offdfykanb .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -29577,7 +29577,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#xgeyzalwby .gt_footnotes {
+#offdfykanb .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -29591,7 +29591,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#xgeyzalwby .gt_footnote {
+#offdfykanb .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -29600,7 +29600,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#xgeyzalwby .gt_sourcenotes {
+#offdfykanb .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -29614,7 +29614,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#xgeyzalwby .gt_sourcenote {
+#offdfykanb .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -29622,63 +29622,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#xgeyzalwby .gt_left {
+#offdfykanb .gt_left {
   text-align: left;
 }
 
-#xgeyzalwby .gt_center {
+#offdfykanb .gt_center {
   text-align: center;
 }
 
-#xgeyzalwby .gt_right {
+#offdfykanb .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#xgeyzalwby .gt_font_normal {
+#offdfykanb .gt_font_normal {
   font-weight: normal;
 }
 
-#xgeyzalwby .gt_font_bold {
+#offdfykanb .gt_font_bold {
   font-weight: bold;
 }
 
-#xgeyzalwby .gt_font_italic {
+#offdfykanb .gt_font_italic {
   font-style: italic;
 }
 
-#xgeyzalwby .gt_super {
+#offdfykanb .gt_super {
   font-size: 65%;
 }
 
-#xgeyzalwby .gt_footnote_marks {
+#offdfykanb .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#xgeyzalwby .gt_asterisk {
+#offdfykanb .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#xgeyzalwby .gt_indent_1 {
+#offdfykanb .gt_indent_1 {
   text-indent: 5px;
 }
 
-#xgeyzalwby .gt_indent_2 {
+#offdfykanb .gt_indent_2 {
   text-indent: 10px;
 }
 
-#xgeyzalwby .gt_indent_3 {
+#offdfykanb .gt_indent_3 {
   text-indent: 15px;
 }
 
-#xgeyzalwby .gt_indent_4 {
+#offdfykanb .gt_indent_4 {
   text-indent: 20px;
 }
 
-#xgeyzalwby .gt_indent_5 {
+#offdfykanb .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -29746,26 +29746,26 @@ <h2 class="page-header">Variables</h2>
 </div>
 </div>
 </div>
-<div role="tabpanel" class="tab-pane col-sm-12" id="zrdxmkzxnlbottom-zrdxmkzxnllengths">
+<div role="tabpanel" class="tab-pane col-sm-12" id="uqvvdqoobxbottom-uqvvdqoobxlengths">
 <div class="col-sm-4">
 <p class="h4">String Lengths</p>
-<div id="wuwbtwqfxa" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#wuwbtwqfxa table {
+<div id="teupuejbay" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#teupuejbay table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#wuwbtwqfxa thead, #wuwbtwqfxa tbody, #wuwbtwqfxa tfoot, #wuwbtwqfxa tr, #wuwbtwqfxa td, #wuwbtwqfxa th {
+#teupuejbay thead, #teupuejbay tbody, #teupuejbay tfoot, #teupuejbay tr, #teupuejbay td, #teupuejbay th {
   border-style: none;
 }
 
-#wuwbtwqfxa p {
+#teupuejbay p {
   margin: 0;
   padding: 0;
 }
 
-#wuwbtwqfxa .gt_table {
+#teupuejbay .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -29791,12 +29791,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#wuwbtwqfxa .gt_caption {
+#teupuejbay .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#wuwbtwqfxa .gt_title {
+#teupuejbay .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -29808,7 +29808,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#wuwbtwqfxa .gt_subtitle {
+#teupuejbay .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -29820,7 +29820,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#wuwbtwqfxa .gt_heading {
+#teupuejbay .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -29832,13 +29832,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#wuwbtwqfxa .gt_bottom_border {
+#teupuejbay .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#wuwbtwqfxa .gt_col_headings {
+#teupuejbay .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -29853,7 +29853,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#wuwbtwqfxa .gt_col_heading {
+#teupuejbay .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -29873,7 +29873,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#wuwbtwqfxa .gt_column_spanner_outer {
+#teupuejbay .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -29885,15 +29885,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#wuwbtwqfxa .gt_column_spanner_outer:first-child {
+#teupuejbay .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#wuwbtwqfxa .gt_column_spanner_outer:last-child {
+#teupuejbay .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#wuwbtwqfxa .gt_column_spanner {
+#teupuejbay .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -29905,11 +29905,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#wuwbtwqfxa .gt_spanner_row {
+#teupuejbay .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#wuwbtwqfxa .gt_group_heading {
+#teupuejbay .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -29935,7 +29935,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#wuwbtwqfxa .gt_empty_group_heading {
+#teupuejbay .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -29950,15 +29950,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#wuwbtwqfxa .gt_from_md > :first-child {
+#teupuejbay .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#wuwbtwqfxa .gt_from_md > :last-child {
+#teupuejbay .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#wuwbtwqfxa .gt_row {
+#teupuejbay .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -29977,7 +29977,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#wuwbtwqfxa .gt_stub {
+#teupuejbay .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -29990,7 +29990,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#wuwbtwqfxa .gt_stub_row_group {
+#teupuejbay .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -30004,15 +30004,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#wuwbtwqfxa .gt_row_group_first td {
+#teupuejbay .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#wuwbtwqfxa .gt_row_group_first th {
+#teupuejbay .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#wuwbtwqfxa .gt_summary_row {
+#teupuejbay .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -30022,16 +30022,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#wuwbtwqfxa .gt_first_summary_row {
+#teupuejbay .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#wuwbtwqfxa .gt_first_summary_row.thick {
+#teupuejbay .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#wuwbtwqfxa .gt_last_summary_row {
+#teupuejbay .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -30041,7 +30041,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#wuwbtwqfxa .gt_grand_summary_row {
+#teupuejbay .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -30051,7 +30051,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#wuwbtwqfxa .gt_first_grand_summary_row {
+#teupuejbay .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -30061,7 +30061,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#wuwbtwqfxa .gt_last_grand_summary_row_top {
+#teupuejbay .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -30071,11 +30071,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#wuwbtwqfxa .gt_striped {
+#teupuejbay .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#wuwbtwqfxa .gt_table_body {
+#teupuejbay .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -30084,7 +30084,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#wuwbtwqfxa .gt_footnotes {
+#teupuejbay .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -30098,7 +30098,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#wuwbtwqfxa .gt_footnote {
+#teupuejbay .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -30107,7 +30107,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#wuwbtwqfxa .gt_sourcenotes {
+#teupuejbay .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -30121,7 +30121,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#wuwbtwqfxa .gt_sourcenote {
+#teupuejbay .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -30129,63 +30129,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#wuwbtwqfxa .gt_left {
+#teupuejbay .gt_left {
   text-align: left;
 }
 
-#wuwbtwqfxa .gt_center {
+#teupuejbay .gt_center {
   text-align: center;
 }
 
-#wuwbtwqfxa .gt_right {
+#teupuejbay .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#wuwbtwqfxa .gt_font_normal {
+#teupuejbay .gt_font_normal {
   font-weight: normal;
 }
 
-#wuwbtwqfxa .gt_font_bold {
+#teupuejbay .gt_font_bold {
   font-weight: bold;
 }
 
-#wuwbtwqfxa .gt_font_italic {
+#teupuejbay .gt_font_italic {
   font-style: italic;
 }
 
-#wuwbtwqfxa .gt_super {
+#teupuejbay .gt_super {
   font-size: 65%;
 }
 
-#wuwbtwqfxa .gt_footnote_marks {
+#teupuejbay .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#wuwbtwqfxa .gt_asterisk {
+#teupuejbay .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#wuwbtwqfxa .gt_indent_1 {
+#teupuejbay .gt_indent_1 {
   text-indent: 5px;
 }
 
-#wuwbtwqfxa .gt_indent_2 {
+#teupuejbay .gt_indent_2 {
   text-indent: 10px;
 }
 
-#wuwbtwqfxa .gt_indent_3 {
+#teupuejbay .gt_indent_3 {
   text-indent: 15px;
 }
 
-#wuwbtwqfxa .gt_indent_4 {
+#teupuejbay .gt_indent_4 {
   text-indent: 20px;
 }
 
-#wuwbtwqfxa .gt_indent_5 {
+#teupuejbay .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -30217,11 +30217,11 @@ <h2 class="page-header">Variables</h2>
 </a>
 </div>
 <div class="row spacing">
-<a class="anchor-pos anchor-pos-variable" id="pp_var_lfzxmtxprx">
+<a class="anchor-pos anchor-pos-variable" id="pp_var_srfgruvcfo">
 <div class="variable">
 <div class="col-sm-3">
 <p class="h4" style="margin-bottom:0;margin-top:-2px;" title="Trophic.Mode">
-<a href="#pp_var_lfzxmtxprx">
+<a href="#pp_var_srfgruvcfo">
 Trophic.Mode
 <br><small style="margin-top:0;">
 <code>character</code>
@@ -30230,23 +30230,23 @@ <h2 class="page-header">Variables</h2>
 </p>
 </div>
 <div class="col-sm-5">
-<div id="bpfxlrwtsc" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#bpfxlrwtsc table {
+<div id="ynishhbcvf" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#ynishhbcvf table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#bpfxlrwtsc thead, #bpfxlrwtsc tbody, #bpfxlrwtsc tfoot, #bpfxlrwtsc tr, #bpfxlrwtsc td, #bpfxlrwtsc th {
+#ynishhbcvf thead, #ynishhbcvf tbody, #ynishhbcvf tfoot, #ynishhbcvf tr, #ynishhbcvf td, #ynishhbcvf th {
   border-style: none;
 }
 
-#bpfxlrwtsc p {
+#ynishhbcvf p {
   margin: 0;
   padding: 0;
 }
 
-#bpfxlrwtsc .gt_table {
+#ynishhbcvf .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -30272,12 +30272,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#bpfxlrwtsc .gt_caption {
+#ynishhbcvf .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#bpfxlrwtsc .gt_title {
+#ynishhbcvf .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -30289,7 +30289,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#bpfxlrwtsc .gt_subtitle {
+#ynishhbcvf .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -30301,7 +30301,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#bpfxlrwtsc .gt_heading {
+#ynishhbcvf .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -30313,13 +30313,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#bpfxlrwtsc .gt_bottom_border {
+#ynishhbcvf .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#bpfxlrwtsc .gt_col_headings {
+#ynishhbcvf .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -30334,7 +30334,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#bpfxlrwtsc .gt_col_heading {
+#ynishhbcvf .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -30354,7 +30354,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#bpfxlrwtsc .gt_column_spanner_outer {
+#ynishhbcvf .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -30366,15 +30366,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#bpfxlrwtsc .gt_column_spanner_outer:first-child {
+#ynishhbcvf .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#bpfxlrwtsc .gt_column_spanner_outer:last-child {
+#ynishhbcvf .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#bpfxlrwtsc .gt_column_spanner {
+#ynishhbcvf .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -30386,11 +30386,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#bpfxlrwtsc .gt_spanner_row {
+#ynishhbcvf .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#bpfxlrwtsc .gt_group_heading {
+#ynishhbcvf .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -30416,7 +30416,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#bpfxlrwtsc .gt_empty_group_heading {
+#ynishhbcvf .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -30431,15 +30431,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#bpfxlrwtsc .gt_from_md > :first-child {
+#ynishhbcvf .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#bpfxlrwtsc .gt_from_md > :last-child {
+#ynishhbcvf .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#bpfxlrwtsc .gt_row {
+#ynishhbcvf .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -30458,7 +30458,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#bpfxlrwtsc .gt_stub {
+#ynishhbcvf .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -30471,7 +30471,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#bpfxlrwtsc .gt_stub_row_group {
+#ynishhbcvf .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -30485,15 +30485,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#bpfxlrwtsc .gt_row_group_first td {
+#ynishhbcvf .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#bpfxlrwtsc .gt_row_group_first th {
+#ynishhbcvf .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#bpfxlrwtsc .gt_summary_row {
+#ynishhbcvf .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -30503,16 +30503,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#bpfxlrwtsc .gt_first_summary_row {
+#ynishhbcvf .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#bpfxlrwtsc .gt_first_summary_row.thick {
+#ynishhbcvf .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#bpfxlrwtsc .gt_last_summary_row {
+#ynishhbcvf .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -30522,7 +30522,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#bpfxlrwtsc .gt_grand_summary_row {
+#ynishhbcvf .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -30532,7 +30532,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#bpfxlrwtsc .gt_first_grand_summary_row {
+#ynishhbcvf .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -30542,7 +30542,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#bpfxlrwtsc .gt_last_grand_summary_row_top {
+#ynishhbcvf .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -30552,11 +30552,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#bpfxlrwtsc .gt_striped {
+#ynishhbcvf .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#bpfxlrwtsc .gt_table_body {
+#ynishhbcvf .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -30565,7 +30565,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#bpfxlrwtsc .gt_footnotes {
+#ynishhbcvf .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -30579,7 +30579,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#bpfxlrwtsc .gt_footnote {
+#ynishhbcvf .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -30588,7 +30588,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#bpfxlrwtsc .gt_sourcenotes {
+#ynishhbcvf .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -30602,7 +30602,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#bpfxlrwtsc .gt_sourcenote {
+#ynishhbcvf .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -30610,63 +30610,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#bpfxlrwtsc .gt_left {
+#ynishhbcvf .gt_left {
   text-align: left;
 }
 
-#bpfxlrwtsc .gt_center {
+#ynishhbcvf .gt_center {
   text-align: center;
 }
 
-#bpfxlrwtsc .gt_right {
+#ynishhbcvf .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#bpfxlrwtsc .gt_font_normal {
+#ynishhbcvf .gt_font_normal {
   font-weight: normal;
 }
 
-#bpfxlrwtsc .gt_font_bold {
+#ynishhbcvf .gt_font_bold {
   font-weight: bold;
 }
 
-#bpfxlrwtsc .gt_font_italic {
+#ynishhbcvf .gt_font_italic {
   font-style: italic;
 }
 
-#bpfxlrwtsc .gt_super {
+#ynishhbcvf .gt_super {
   font-size: 65%;
 }
 
-#bpfxlrwtsc .gt_footnote_marks {
+#ynishhbcvf .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#bpfxlrwtsc .gt_asterisk {
+#ynishhbcvf .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#bpfxlrwtsc .gt_indent_1 {
+#ynishhbcvf .gt_indent_1 {
   text-indent: 5px;
 }
 
-#bpfxlrwtsc .gt_indent_2 {
+#ynishhbcvf .gt_indent_2 {
   text-indent: 10px;
 }
 
-#bpfxlrwtsc .gt_indent_3 {
+#ynishhbcvf .gt_indent_3 {
   text-indent: 15px;
 }
 
-#bpfxlrwtsc .gt_indent_4 {
+#ynishhbcvf .gt_indent_4 {
   text-indent: 20px;
 }
 
-#bpfxlrwtsc .gt_indent_5 {
+#ynishhbcvf .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -30694,39 +30694,39 @@ <h2 class="page-header">Variables</h2>
 </div>
 <div class="col-sm-4"> </div>
 <div class="col-sm-12 text-left">
-<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-lfzxmtxprx, #minifreqtablelfzxmtxprx" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
+<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-srfgruvcfo, #minifreqtablesrfgruvcfo" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
 </div>
-<div id="bottom-lfzxmtxprx" class="collapse" aria-expanded="false" style="height: 5px;">
+<div id="bottom-srfgruvcfo" class="collapse" aria-expanded="false" style="height: 5px;">
 <div class="row spacing">
 <ul class="nav nav-tabs" role="tablist">
 <li role="presentation" class="active" style="padding-top: 5px;">
-<a href="#lfzxmtxprxbottom-lfzxmtxprxcommon_values" aria-controls="lfzxmtxprxbottom-lfzxmtxprxcommon_values" role="tab" data-toggle="tab">Common Values</a>
+<a href="#srfgruvcfobottom-srfgruvcfocommon_values" aria-controls="srfgruvcfobottom-srfgruvcfocommon_values" role="tab" data-toggle="tab">Common Values</a>
 </li>
 <li role="presentation" class="" style="padding-top: 5px;">
-<a href="#lfzxmtxprxbottom-lfzxmtxprxlengths" aria-controls="lfzxmtxprxbottom-lfzxmtxprxlengths" role="tab" data-toggle="tab">String Lengths</a>
+<a href="#srfgruvcfobottom-srfgruvcfolengths" aria-controls="srfgruvcfobottom-srfgruvcfolengths" role="tab" data-toggle="tab">String Lengths</a>
 </li>
 </ul>
 <div class="tab-content">
-<div role="tabpanel" class="tab-pane col-sm-12 active" id="lfzxmtxprxbottom-lfzxmtxprxcommon_values">
+<div role="tabpanel" class="tab-pane col-sm-12 active" id="srfgruvcfobottom-srfgruvcfocommon_values">
 <div class="col-sm-12">
 <p class="h4"></p>
-<div id="cglcobmoxo" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#cglcobmoxo table {
+<div id="cogaxodoff" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#cogaxodoff table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#cglcobmoxo thead, #cglcobmoxo tbody, #cglcobmoxo tfoot, #cglcobmoxo tr, #cglcobmoxo td, #cglcobmoxo th {
+#cogaxodoff thead, #cogaxodoff tbody, #cogaxodoff tfoot, #cogaxodoff tr, #cogaxodoff td, #cogaxodoff th {
   border-style: none;
 }
 
-#cglcobmoxo p {
+#cogaxodoff p {
   margin: 0;
   padding: 0;
 }
 
-#cglcobmoxo .gt_table {
+#cogaxodoff .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -30752,12 +30752,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#cglcobmoxo .gt_caption {
+#cogaxodoff .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#cglcobmoxo .gt_title {
+#cogaxodoff .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -30769,7 +30769,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#cglcobmoxo .gt_subtitle {
+#cogaxodoff .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -30781,7 +30781,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#cglcobmoxo .gt_heading {
+#cogaxodoff .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -30793,13 +30793,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#cglcobmoxo .gt_bottom_border {
+#cogaxodoff .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#cglcobmoxo .gt_col_headings {
+#cogaxodoff .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -30814,7 +30814,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#cglcobmoxo .gt_col_heading {
+#cogaxodoff .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -30834,7 +30834,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#cglcobmoxo .gt_column_spanner_outer {
+#cogaxodoff .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -30846,15 +30846,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#cglcobmoxo .gt_column_spanner_outer:first-child {
+#cogaxodoff .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#cglcobmoxo .gt_column_spanner_outer:last-child {
+#cogaxodoff .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#cglcobmoxo .gt_column_spanner {
+#cogaxodoff .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -30866,11 +30866,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#cglcobmoxo .gt_spanner_row {
+#cogaxodoff .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#cglcobmoxo .gt_group_heading {
+#cogaxodoff .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -30896,7 +30896,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#cglcobmoxo .gt_empty_group_heading {
+#cogaxodoff .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -30911,15 +30911,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#cglcobmoxo .gt_from_md > :first-child {
+#cogaxodoff .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#cglcobmoxo .gt_from_md > :last-child {
+#cogaxodoff .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#cglcobmoxo .gt_row {
+#cogaxodoff .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -30938,7 +30938,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#cglcobmoxo .gt_stub {
+#cogaxodoff .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -30951,7 +30951,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#cglcobmoxo .gt_stub_row_group {
+#cogaxodoff .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -30965,15 +30965,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#cglcobmoxo .gt_row_group_first td {
+#cogaxodoff .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#cglcobmoxo .gt_row_group_first th {
+#cogaxodoff .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#cglcobmoxo .gt_summary_row {
+#cogaxodoff .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -30983,16 +30983,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#cglcobmoxo .gt_first_summary_row {
+#cogaxodoff .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#cglcobmoxo .gt_first_summary_row.thick {
+#cogaxodoff .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#cglcobmoxo .gt_last_summary_row {
+#cogaxodoff .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -31002,7 +31002,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#cglcobmoxo .gt_grand_summary_row {
+#cogaxodoff .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -31012,7 +31012,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#cglcobmoxo .gt_first_grand_summary_row {
+#cogaxodoff .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -31022,7 +31022,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#cglcobmoxo .gt_last_grand_summary_row_top {
+#cogaxodoff .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -31032,11 +31032,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#cglcobmoxo .gt_striped {
+#cogaxodoff .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#cglcobmoxo .gt_table_body {
+#cogaxodoff .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -31045,7 +31045,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#cglcobmoxo .gt_footnotes {
+#cogaxodoff .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -31059,7 +31059,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#cglcobmoxo .gt_footnote {
+#cogaxodoff .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -31068,7 +31068,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#cglcobmoxo .gt_sourcenotes {
+#cogaxodoff .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -31082,7 +31082,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#cglcobmoxo .gt_sourcenote {
+#cogaxodoff .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -31090,63 +31090,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#cglcobmoxo .gt_left {
+#cogaxodoff .gt_left {
   text-align: left;
 }
 
-#cglcobmoxo .gt_center {
+#cogaxodoff .gt_center {
   text-align: center;
 }
 
-#cglcobmoxo .gt_right {
+#cogaxodoff .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#cglcobmoxo .gt_font_normal {
+#cogaxodoff .gt_font_normal {
   font-weight: normal;
 }
 
-#cglcobmoxo .gt_font_bold {
+#cogaxodoff .gt_font_bold {
   font-weight: bold;
 }
 
-#cglcobmoxo .gt_font_italic {
+#cogaxodoff .gt_font_italic {
   font-style: italic;
 }
 
-#cglcobmoxo .gt_super {
+#cogaxodoff .gt_super {
   font-size: 65%;
 }
 
-#cglcobmoxo .gt_footnote_marks {
+#cogaxodoff .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#cglcobmoxo .gt_asterisk {
+#cogaxodoff .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#cglcobmoxo .gt_indent_1 {
+#cogaxodoff .gt_indent_1 {
   text-indent: 5px;
 }
 
-#cglcobmoxo .gt_indent_2 {
+#cogaxodoff .gt_indent_2 {
   text-indent: 10px;
 }
 
-#cglcobmoxo .gt_indent_3 {
+#cogaxodoff .gt_indent_3 {
   text-indent: 15px;
 }
 
-#cglcobmoxo .gt_indent_4 {
+#cogaxodoff .gt_indent_4 {
   text-indent: 20px;
 }
 
-#cglcobmoxo .gt_indent_5 {
+#cogaxodoff .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -31209,26 +31209,26 @@ <h2 class="page-header">Variables</h2>
 </div>
 </div>
 </div>
-<div role="tabpanel" class="tab-pane col-sm-12" id="lfzxmtxprxbottom-lfzxmtxprxlengths">
+<div role="tabpanel" class="tab-pane col-sm-12" id="srfgruvcfobottom-srfgruvcfolengths">
 <div class="col-sm-4">
 <p class="h4">String Lengths</p>
-<div id="jslqbozzlr" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#jslqbozzlr table {
+<div id="xuttcmmwcx" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#xuttcmmwcx table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#jslqbozzlr thead, #jslqbozzlr tbody, #jslqbozzlr tfoot, #jslqbozzlr tr, #jslqbozzlr td, #jslqbozzlr th {
+#xuttcmmwcx thead, #xuttcmmwcx tbody, #xuttcmmwcx tfoot, #xuttcmmwcx tr, #xuttcmmwcx td, #xuttcmmwcx th {
   border-style: none;
 }
 
-#jslqbozzlr p {
+#xuttcmmwcx p {
   margin: 0;
   padding: 0;
 }
 
-#jslqbozzlr .gt_table {
+#xuttcmmwcx .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -31254,12 +31254,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#jslqbozzlr .gt_caption {
+#xuttcmmwcx .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#jslqbozzlr .gt_title {
+#xuttcmmwcx .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -31271,7 +31271,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#jslqbozzlr .gt_subtitle {
+#xuttcmmwcx .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -31283,7 +31283,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#jslqbozzlr .gt_heading {
+#xuttcmmwcx .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -31295,13 +31295,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#jslqbozzlr .gt_bottom_border {
+#xuttcmmwcx .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#jslqbozzlr .gt_col_headings {
+#xuttcmmwcx .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -31316,7 +31316,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#jslqbozzlr .gt_col_heading {
+#xuttcmmwcx .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -31336,7 +31336,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#jslqbozzlr .gt_column_spanner_outer {
+#xuttcmmwcx .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -31348,15 +31348,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#jslqbozzlr .gt_column_spanner_outer:first-child {
+#xuttcmmwcx .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#jslqbozzlr .gt_column_spanner_outer:last-child {
+#xuttcmmwcx .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#jslqbozzlr .gt_column_spanner {
+#xuttcmmwcx .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -31368,11 +31368,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#jslqbozzlr .gt_spanner_row {
+#xuttcmmwcx .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#jslqbozzlr .gt_group_heading {
+#xuttcmmwcx .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -31398,7 +31398,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#jslqbozzlr .gt_empty_group_heading {
+#xuttcmmwcx .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -31413,15 +31413,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#jslqbozzlr .gt_from_md > :first-child {
+#xuttcmmwcx .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#jslqbozzlr .gt_from_md > :last-child {
+#xuttcmmwcx .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#jslqbozzlr .gt_row {
+#xuttcmmwcx .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -31440,7 +31440,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#jslqbozzlr .gt_stub {
+#xuttcmmwcx .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -31453,7 +31453,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#jslqbozzlr .gt_stub_row_group {
+#xuttcmmwcx .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -31467,15 +31467,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#jslqbozzlr .gt_row_group_first td {
+#xuttcmmwcx .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#jslqbozzlr .gt_row_group_first th {
+#xuttcmmwcx .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#jslqbozzlr .gt_summary_row {
+#xuttcmmwcx .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -31485,16 +31485,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#jslqbozzlr .gt_first_summary_row {
+#xuttcmmwcx .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#jslqbozzlr .gt_first_summary_row.thick {
+#xuttcmmwcx .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#jslqbozzlr .gt_last_summary_row {
+#xuttcmmwcx .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -31504,7 +31504,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#jslqbozzlr .gt_grand_summary_row {
+#xuttcmmwcx .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -31514,7 +31514,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#jslqbozzlr .gt_first_grand_summary_row {
+#xuttcmmwcx .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -31524,7 +31524,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#jslqbozzlr .gt_last_grand_summary_row_top {
+#xuttcmmwcx .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -31534,11 +31534,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#jslqbozzlr .gt_striped {
+#xuttcmmwcx .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#jslqbozzlr .gt_table_body {
+#xuttcmmwcx .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -31547,7 +31547,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#jslqbozzlr .gt_footnotes {
+#xuttcmmwcx .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -31561,7 +31561,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#jslqbozzlr .gt_footnote {
+#xuttcmmwcx .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -31570,7 +31570,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#jslqbozzlr .gt_sourcenotes {
+#xuttcmmwcx .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -31584,7 +31584,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#jslqbozzlr .gt_sourcenote {
+#xuttcmmwcx .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -31592,63 +31592,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#jslqbozzlr .gt_left {
+#xuttcmmwcx .gt_left {
   text-align: left;
 }
 
-#jslqbozzlr .gt_center {
+#xuttcmmwcx .gt_center {
   text-align: center;
 }
 
-#jslqbozzlr .gt_right {
+#xuttcmmwcx .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#jslqbozzlr .gt_font_normal {
+#xuttcmmwcx .gt_font_normal {
   font-weight: normal;
 }
 
-#jslqbozzlr .gt_font_bold {
+#xuttcmmwcx .gt_font_bold {
   font-weight: bold;
 }
 
-#jslqbozzlr .gt_font_italic {
+#xuttcmmwcx .gt_font_italic {
   font-style: italic;
 }
 
-#jslqbozzlr .gt_super {
+#xuttcmmwcx .gt_super {
   font-size: 65%;
 }
 
-#jslqbozzlr .gt_footnote_marks {
+#xuttcmmwcx .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#jslqbozzlr .gt_asterisk {
+#xuttcmmwcx .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#jslqbozzlr .gt_indent_1 {
+#xuttcmmwcx .gt_indent_1 {
   text-indent: 5px;
 }
 
-#jslqbozzlr .gt_indent_2 {
+#xuttcmmwcx .gt_indent_2 {
   text-indent: 10px;
 }
 
-#jslqbozzlr .gt_indent_3 {
+#xuttcmmwcx .gt_indent_3 {
   text-indent: 15px;
 }
 
-#jslqbozzlr .gt_indent_4 {
+#xuttcmmwcx .gt_indent_4 {
   text-indent: 20px;
 }
 
-#jslqbozzlr .gt_indent_5 {
+#xuttcmmwcx .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -31680,11 +31680,11 @@ <h2 class="page-header">Variables</h2>
 </a>
 </div>
 <div class="row spacing">
-<a class="anchor-pos anchor-pos-variable" id="pp_var_zaheldnhod">
+<a class="anchor-pos anchor-pos-variable" id="pp_var_btnjdjejhz">
 <div class="variable">
 <div class="col-sm-3">
 <p class="h4" style="margin-bottom:0;margin-top:-2px;" title="Guild">
-<a href="#pp_var_zaheldnhod">
+<a href="#pp_var_btnjdjejhz">
 Guild
 <br><small style="margin-top:0;">
 <code>character</code>
@@ -31693,23 +31693,23 @@ <h2 class="page-header">Variables</h2>
 </p>
 </div>
 <div class="col-sm-5">
-<div id="cixtuzngyg" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#cixtuzngyg table {
+<div id="rfvvrrsxap" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#rfvvrrsxap table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#cixtuzngyg thead, #cixtuzngyg tbody, #cixtuzngyg tfoot, #cixtuzngyg tr, #cixtuzngyg td, #cixtuzngyg th {
+#rfvvrrsxap thead, #rfvvrrsxap tbody, #rfvvrrsxap tfoot, #rfvvrrsxap tr, #rfvvrrsxap td, #rfvvrrsxap th {
   border-style: none;
 }
 
-#cixtuzngyg p {
+#rfvvrrsxap p {
   margin: 0;
   padding: 0;
 }
 
-#cixtuzngyg .gt_table {
+#rfvvrrsxap .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -31735,12 +31735,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#cixtuzngyg .gt_caption {
+#rfvvrrsxap .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#cixtuzngyg .gt_title {
+#rfvvrrsxap .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -31752,7 +31752,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#cixtuzngyg .gt_subtitle {
+#rfvvrrsxap .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -31764,7 +31764,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#cixtuzngyg .gt_heading {
+#rfvvrrsxap .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -31776,13 +31776,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#cixtuzngyg .gt_bottom_border {
+#rfvvrrsxap .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#cixtuzngyg .gt_col_headings {
+#rfvvrrsxap .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -31797,7 +31797,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#cixtuzngyg .gt_col_heading {
+#rfvvrrsxap .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -31817,7 +31817,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#cixtuzngyg .gt_column_spanner_outer {
+#rfvvrrsxap .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -31829,15 +31829,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#cixtuzngyg .gt_column_spanner_outer:first-child {
+#rfvvrrsxap .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#cixtuzngyg .gt_column_spanner_outer:last-child {
+#rfvvrrsxap .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#cixtuzngyg .gt_column_spanner {
+#rfvvrrsxap .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -31849,11 +31849,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#cixtuzngyg .gt_spanner_row {
+#rfvvrrsxap .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#cixtuzngyg .gt_group_heading {
+#rfvvrrsxap .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -31879,7 +31879,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#cixtuzngyg .gt_empty_group_heading {
+#rfvvrrsxap .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -31894,15 +31894,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#cixtuzngyg .gt_from_md > :first-child {
+#rfvvrrsxap .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#cixtuzngyg .gt_from_md > :last-child {
+#rfvvrrsxap .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#cixtuzngyg .gt_row {
+#rfvvrrsxap .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -31921,7 +31921,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#cixtuzngyg .gt_stub {
+#rfvvrrsxap .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -31934,7 +31934,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#cixtuzngyg .gt_stub_row_group {
+#rfvvrrsxap .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -31948,15 +31948,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#cixtuzngyg .gt_row_group_first td {
+#rfvvrrsxap .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#cixtuzngyg .gt_row_group_first th {
+#rfvvrrsxap .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#cixtuzngyg .gt_summary_row {
+#rfvvrrsxap .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -31966,16 +31966,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#cixtuzngyg .gt_first_summary_row {
+#rfvvrrsxap .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#cixtuzngyg .gt_first_summary_row.thick {
+#rfvvrrsxap .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#cixtuzngyg .gt_last_summary_row {
+#rfvvrrsxap .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -31985,7 +31985,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#cixtuzngyg .gt_grand_summary_row {
+#rfvvrrsxap .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -31995,7 +31995,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#cixtuzngyg .gt_first_grand_summary_row {
+#rfvvrrsxap .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -32005,7 +32005,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#cixtuzngyg .gt_last_grand_summary_row_top {
+#rfvvrrsxap .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -32015,11 +32015,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#cixtuzngyg .gt_striped {
+#rfvvrrsxap .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#cixtuzngyg .gt_table_body {
+#rfvvrrsxap .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -32028,7 +32028,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#cixtuzngyg .gt_footnotes {
+#rfvvrrsxap .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -32042,7 +32042,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#cixtuzngyg .gt_footnote {
+#rfvvrrsxap .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -32051,7 +32051,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#cixtuzngyg .gt_sourcenotes {
+#rfvvrrsxap .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -32065,7 +32065,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#cixtuzngyg .gt_sourcenote {
+#rfvvrrsxap .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -32073,63 +32073,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#cixtuzngyg .gt_left {
+#rfvvrrsxap .gt_left {
   text-align: left;
 }
 
-#cixtuzngyg .gt_center {
+#rfvvrrsxap .gt_center {
   text-align: center;
 }
 
-#cixtuzngyg .gt_right {
+#rfvvrrsxap .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#cixtuzngyg .gt_font_normal {
+#rfvvrrsxap .gt_font_normal {
   font-weight: normal;
 }
 
-#cixtuzngyg .gt_font_bold {
+#rfvvrrsxap .gt_font_bold {
   font-weight: bold;
 }
 
-#cixtuzngyg .gt_font_italic {
+#rfvvrrsxap .gt_font_italic {
   font-style: italic;
 }
 
-#cixtuzngyg .gt_super {
+#rfvvrrsxap .gt_super {
   font-size: 65%;
 }
 
-#cixtuzngyg .gt_footnote_marks {
+#rfvvrrsxap .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#cixtuzngyg .gt_asterisk {
+#rfvvrrsxap .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#cixtuzngyg .gt_indent_1 {
+#rfvvrrsxap .gt_indent_1 {
   text-indent: 5px;
 }
 
-#cixtuzngyg .gt_indent_2 {
+#rfvvrrsxap .gt_indent_2 {
   text-indent: 10px;
 }
 
-#cixtuzngyg .gt_indent_3 {
+#rfvvrrsxap .gt_indent_3 {
   text-indent: 15px;
 }
 
-#cixtuzngyg .gt_indent_4 {
+#rfvvrrsxap .gt_indent_4 {
   text-indent: 20px;
 }
 
-#cixtuzngyg .gt_indent_5 {
+#rfvvrrsxap .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -32157,39 +32157,39 @@ <h2 class="page-header">Variables</h2>
 </div>
 <div class="col-sm-4"> </div>
 <div class="col-sm-12 text-left">
-<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-zaheldnhod, #minifreqtablezaheldnhod" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
+<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-btnjdjejhz, #minifreqtablebtnjdjejhz" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
 </div>
-<div id="bottom-zaheldnhod" class="collapse" aria-expanded="false" style="height: 5px;">
+<div id="bottom-btnjdjejhz" class="collapse" aria-expanded="false" style="height: 5px;">
 <div class="row spacing">
 <ul class="nav nav-tabs" role="tablist">
 <li role="presentation" class="active" style="padding-top: 5px;">
-<a href="#zaheldnhodbottom-zaheldnhodcommon_values" aria-controls="zaheldnhodbottom-zaheldnhodcommon_values" role="tab" data-toggle="tab">Common Values</a>
+<a href="#btnjdjejhzbottom-btnjdjejhzcommon_values" aria-controls="btnjdjejhzbottom-btnjdjejhzcommon_values" role="tab" data-toggle="tab">Common Values</a>
 </li>
 <li role="presentation" class="" style="padding-top: 5px;">
-<a href="#zaheldnhodbottom-zaheldnhodlengths" aria-controls="zaheldnhodbottom-zaheldnhodlengths" role="tab" data-toggle="tab">String Lengths</a>
+<a href="#btnjdjejhzbottom-btnjdjejhzlengths" aria-controls="btnjdjejhzbottom-btnjdjejhzlengths" role="tab" data-toggle="tab">String Lengths</a>
 </li>
 </ul>
 <div class="tab-content">
-<div role="tabpanel" class="tab-pane col-sm-12 active" id="zaheldnhodbottom-zaheldnhodcommon_values">
+<div role="tabpanel" class="tab-pane col-sm-12 active" id="btnjdjejhzbottom-btnjdjejhzcommon_values">
 <div class="col-sm-12">
 <p class="h4"></p>
-<div id="tgfgbdmwnv" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#tgfgbdmwnv table {
+<div id="ggiuuiyxnm" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#ggiuuiyxnm table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#tgfgbdmwnv thead, #tgfgbdmwnv tbody, #tgfgbdmwnv tfoot, #tgfgbdmwnv tr, #tgfgbdmwnv td, #tgfgbdmwnv th {
+#ggiuuiyxnm thead, #ggiuuiyxnm tbody, #ggiuuiyxnm tfoot, #ggiuuiyxnm tr, #ggiuuiyxnm td, #ggiuuiyxnm th {
   border-style: none;
 }
 
-#tgfgbdmwnv p {
+#ggiuuiyxnm p {
   margin: 0;
   padding: 0;
 }
 
-#tgfgbdmwnv .gt_table {
+#ggiuuiyxnm .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -32215,12 +32215,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#tgfgbdmwnv .gt_caption {
+#ggiuuiyxnm .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#tgfgbdmwnv .gt_title {
+#ggiuuiyxnm .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -32232,7 +32232,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#tgfgbdmwnv .gt_subtitle {
+#ggiuuiyxnm .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -32244,7 +32244,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#tgfgbdmwnv .gt_heading {
+#ggiuuiyxnm .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -32256,13 +32256,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#tgfgbdmwnv .gt_bottom_border {
+#ggiuuiyxnm .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#tgfgbdmwnv .gt_col_headings {
+#ggiuuiyxnm .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -32277,7 +32277,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#tgfgbdmwnv .gt_col_heading {
+#ggiuuiyxnm .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -32297,7 +32297,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#tgfgbdmwnv .gt_column_spanner_outer {
+#ggiuuiyxnm .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -32309,15 +32309,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#tgfgbdmwnv .gt_column_spanner_outer:first-child {
+#ggiuuiyxnm .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#tgfgbdmwnv .gt_column_spanner_outer:last-child {
+#ggiuuiyxnm .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#tgfgbdmwnv .gt_column_spanner {
+#ggiuuiyxnm .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -32329,11 +32329,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#tgfgbdmwnv .gt_spanner_row {
+#ggiuuiyxnm .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#tgfgbdmwnv .gt_group_heading {
+#ggiuuiyxnm .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -32359,7 +32359,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#tgfgbdmwnv .gt_empty_group_heading {
+#ggiuuiyxnm .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -32374,15 +32374,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#tgfgbdmwnv .gt_from_md > :first-child {
+#ggiuuiyxnm .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#tgfgbdmwnv .gt_from_md > :last-child {
+#ggiuuiyxnm .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#tgfgbdmwnv .gt_row {
+#ggiuuiyxnm .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -32401,7 +32401,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#tgfgbdmwnv .gt_stub {
+#ggiuuiyxnm .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -32414,7 +32414,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#tgfgbdmwnv .gt_stub_row_group {
+#ggiuuiyxnm .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -32428,15 +32428,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#tgfgbdmwnv .gt_row_group_first td {
+#ggiuuiyxnm .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#tgfgbdmwnv .gt_row_group_first th {
+#ggiuuiyxnm .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#tgfgbdmwnv .gt_summary_row {
+#ggiuuiyxnm .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -32446,16 +32446,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#tgfgbdmwnv .gt_first_summary_row {
+#ggiuuiyxnm .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#tgfgbdmwnv .gt_first_summary_row.thick {
+#ggiuuiyxnm .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#tgfgbdmwnv .gt_last_summary_row {
+#ggiuuiyxnm .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -32465,7 +32465,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#tgfgbdmwnv .gt_grand_summary_row {
+#ggiuuiyxnm .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -32475,7 +32475,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#tgfgbdmwnv .gt_first_grand_summary_row {
+#ggiuuiyxnm .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -32485,7 +32485,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#tgfgbdmwnv .gt_last_grand_summary_row_top {
+#ggiuuiyxnm .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -32495,11 +32495,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#tgfgbdmwnv .gt_striped {
+#ggiuuiyxnm .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#tgfgbdmwnv .gt_table_body {
+#ggiuuiyxnm .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -32508,7 +32508,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#tgfgbdmwnv .gt_footnotes {
+#ggiuuiyxnm .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -32522,7 +32522,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#tgfgbdmwnv .gt_footnote {
+#ggiuuiyxnm .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -32531,7 +32531,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#tgfgbdmwnv .gt_sourcenotes {
+#ggiuuiyxnm .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -32545,7 +32545,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#tgfgbdmwnv .gt_sourcenote {
+#ggiuuiyxnm .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -32553,63 +32553,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#tgfgbdmwnv .gt_left {
+#ggiuuiyxnm .gt_left {
   text-align: left;
 }
 
-#tgfgbdmwnv .gt_center {
+#ggiuuiyxnm .gt_center {
   text-align: center;
 }
 
-#tgfgbdmwnv .gt_right {
+#ggiuuiyxnm .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#tgfgbdmwnv .gt_font_normal {
+#ggiuuiyxnm .gt_font_normal {
   font-weight: normal;
 }
 
-#tgfgbdmwnv .gt_font_bold {
+#ggiuuiyxnm .gt_font_bold {
   font-weight: bold;
 }
 
-#tgfgbdmwnv .gt_font_italic {
+#ggiuuiyxnm .gt_font_italic {
   font-style: italic;
 }
 
-#tgfgbdmwnv .gt_super {
+#ggiuuiyxnm .gt_super {
   font-size: 65%;
 }
 
-#tgfgbdmwnv .gt_footnote_marks {
+#ggiuuiyxnm .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#tgfgbdmwnv .gt_asterisk {
+#ggiuuiyxnm .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#tgfgbdmwnv .gt_indent_1 {
+#ggiuuiyxnm .gt_indent_1 {
   text-indent: 5px;
 }
 
-#tgfgbdmwnv .gt_indent_2 {
+#ggiuuiyxnm .gt_indent_2 {
   text-indent: 10px;
 }
 
-#tgfgbdmwnv .gt_indent_3 {
+#ggiuuiyxnm .gt_indent_3 {
   text-indent: 15px;
 }
 
-#tgfgbdmwnv .gt_indent_4 {
+#ggiuuiyxnm .gt_indent_4 {
   text-indent: 20px;
 }
 
-#tgfgbdmwnv .gt_indent_5 {
+#ggiuuiyxnm .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -32677,26 +32677,26 @@ <h2 class="page-header">Variables</h2>
 </div>
 </div>
 </div>
-<div role="tabpanel" class="tab-pane col-sm-12" id="zaheldnhodbottom-zaheldnhodlengths">
+<div role="tabpanel" class="tab-pane col-sm-12" id="btnjdjejhzbottom-btnjdjejhzlengths">
 <div class="col-sm-4">
 <p class="h4">String Lengths</p>
-<div id="xfcywxlnff" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#xfcywxlnff table {
+<div id="fteyfjisio" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#fteyfjisio table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#xfcywxlnff thead, #xfcywxlnff tbody, #xfcywxlnff tfoot, #xfcywxlnff tr, #xfcywxlnff td, #xfcywxlnff th {
+#fteyfjisio thead, #fteyfjisio tbody, #fteyfjisio tfoot, #fteyfjisio tr, #fteyfjisio td, #fteyfjisio th {
   border-style: none;
 }
 
-#xfcywxlnff p {
+#fteyfjisio p {
   margin: 0;
   padding: 0;
 }
 
-#xfcywxlnff .gt_table {
+#fteyfjisio .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -32722,12 +32722,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#xfcywxlnff .gt_caption {
+#fteyfjisio .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#xfcywxlnff .gt_title {
+#fteyfjisio .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -32739,7 +32739,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#xfcywxlnff .gt_subtitle {
+#fteyfjisio .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -32751,7 +32751,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#xfcywxlnff .gt_heading {
+#fteyfjisio .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -32763,13 +32763,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#xfcywxlnff .gt_bottom_border {
+#fteyfjisio .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#xfcywxlnff .gt_col_headings {
+#fteyfjisio .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -32784,7 +32784,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#xfcywxlnff .gt_col_heading {
+#fteyfjisio .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -32804,7 +32804,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#xfcywxlnff .gt_column_spanner_outer {
+#fteyfjisio .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -32816,15 +32816,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#xfcywxlnff .gt_column_spanner_outer:first-child {
+#fteyfjisio .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#xfcywxlnff .gt_column_spanner_outer:last-child {
+#fteyfjisio .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#xfcywxlnff .gt_column_spanner {
+#fteyfjisio .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -32836,11 +32836,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#xfcywxlnff .gt_spanner_row {
+#fteyfjisio .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#xfcywxlnff .gt_group_heading {
+#fteyfjisio .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -32866,7 +32866,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#xfcywxlnff .gt_empty_group_heading {
+#fteyfjisio .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -32881,15 +32881,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#xfcywxlnff .gt_from_md > :first-child {
+#fteyfjisio .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#xfcywxlnff .gt_from_md > :last-child {
+#fteyfjisio .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#xfcywxlnff .gt_row {
+#fteyfjisio .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -32908,7 +32908,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#xfcywxlnff .gt_stub {
+#fteyfjisio .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -32921,7 +32921,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#xfcywxlnff .gt_stub_row_group {
+#fteyfjisio .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -32935,15 +32935,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#xfcywxlnff .gt_row_group_first td {
+#fteyfjisio .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#xfcywxlnff .gt_row_group_first th {
+#fteyfjisio .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#xfcywxlnff .gt_summary_row {
+#fteyfjisio .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -32953,16 +32953,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#xfcywxlnff .gt_first_summary_row {
+#fteyfjisio .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#xfcywxlnff .gt_first_summary_row.thick {
+#fteyfjisio .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#xfcywxlnff .gt_last_summary_row {
+#fteyfjisio .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -32972,7 +32972,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#xfcywxlnff .gt_grand_summary_row {
+#fteyfjisio .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -32982,7 +32982,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#xfcywxlnff .gt_first_grand_summary_row {
+#fteyfjisio .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -32992,7 +32992,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#xfcywxlnff .gt_last_grand_summary_row_top {
+#fteyfjisio .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -33002,11 +33002,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#xfcywxlnff .gt_striped {
+#fteyfjisio .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#xfcywxlnff .gt_table_body {
+#fteyfjisio .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -33015,7 +33015,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#xfcywxlnff .gt_footnotes {
+#fteyfjisio .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -33029,7 +33029,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#xfcywxlnff .gt_footnote {
+#fteyfjisio .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -33038,7 +33038,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#xfcywxlnff .gt_sourcenotes {
+#fteyfjisio .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -33052,7 +33052,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#xfcywxlnff .gt_sourcenote {
+#fteyfjisio .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -33060,63 +33060,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#xfcywxlnff .gt_left {
+#fteyfjisio .gt_left {
   text-align: left;
 }
 
-#xfcywxlnff .gt_center {
+#fteyfjisio .gt_center {
   text-align: center;
 }
 
-#xfcywxlnff .gt_right {
+#fteyfjisio .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#xfcywxlnff .gt_font_normal {
+#fteyfjisio .gt_font_normal {
   font-weight: normal;
 }
 
-#xfcywxlnff .gt_font_bold {
+#fteyfjisio .gt_font_bold {
   font-weight: bold;
 }
 
-#xfcywxlnff .gt_font_italic {
+#fteyfjisio .gt_font_italic {
   font-style: italic;
 }
 
-#xfcywxlnff .gt_super {
+#fteyfjisio .gt_super {
   font-size: 65%;
 }
 
-#xfcywxlnff .gt_footnote_marks {
+#fteyfjisio .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#xfcywxlnff .gt_asterisk {
+#fteyfjisio .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#xfcywxlnff .gt_indent_1 {
+#fteyfjisio .gt_indent_1 {
   text-indent: 5px;
 }
 
-#xfcywxlnff .gt_indent_2 {
+#fteyfjisio .gt_indent_2 {
   text-indent: 10px;
 }
 
-#xfcywxlnff .gt_indent_3 {
+#fteyfjisio .gt_indent_3 {
   text-indent: 15px;
 }
 
-#xfcywxlnff .gt_indent_4 {
+#fteyfjisio .gt_indent_4 {
   text-indent: 20px;
 }
 
-#xfcywxlnff .gt_indent_5 {
+#fteyfjisio .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -33148,11 +33148,11 @@ <h2 class="page-header">Variables</h2>
 </a>
 </div>
 <div class="row spacing">
-<a class="anchor-pos anchor-pos-variable" id="pp_var_jrwwindlfp">
+<a class="anchor-pos anchor-pos-variable" id="pp_var_ghlyhsmqiv">
 <div class="variable">
 <div class="col-sm-3">
 <p class="h4" style="margin-bottom:0;margin-top:-2px;" title="Trait">
-<a href="#pp_var_jrwwindlfp">
+<a href="#pp_var_ghlyhsmqiv">
 Trait
 <br><small style="margin-top:0;">
 <code>character</code>
@@ -33161,23 +33161,23 @@ <h2 class="page-header">Variables</h2>
 </p>
 </div>
 <div class="col-sm-5">
-<div id="msdeyoycfy" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#msdeyoycfy table {
+<div id="rfnzyvafje" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#rfnzyvafje table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#msdeyoycfy thead, #msdeyoycfy tbody, #msdeyoycfy tfoot, #msdeyoycfy tr, #msdeyoycfy td, #msdeyoycfy th {
+#rfnzyvafje thead, #rfnzyvafje tbody, #rfnzyvafje tfoot, #rfnzyvafje tr, #rfnzyvafje td, #rfnzyvafje th {
   border-style: none;
 }
 
-#msdeyoycfy p {
+#rfnzyvafje p {
   margin: 0;
   padding: 0;
 }
 
-#msdeyoycfy .gt_table {
+#rfnzyvafje .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -33203,12 +33203,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#msdeyoycfy .gt_caption {
+#rfnzyvafje .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#msdeyoycfy .gt_title {
+#rfnzyvafje .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -33220,7 +33220,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#msdeyoycfy .gt_subtitle {
+#rfnzyvafje .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -33232,7 +33232,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#msdeyoycfy .gt_heading {
+#rfnzyvafje .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -33244,13 +33244,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#msdeyoycfy .gt_bottom_border {
+#rfnzyvafje .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#msdeyoycfy .gt_col_headings {
+#rfnzyvafje .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -33265,7 +33265,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#msdeyoycfy .gt_col_heading {
+#rfnzyvafje .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -33285,7 +33285,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#msdeyoycfy .gt_column_spanner_outer {
+#rfnzyvafje .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -33297,15 +33297,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#msdeyoycfy .gt_column_spanner_outer:first-child {
+#rfnzyvafje .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#msdeyoycfy .gt_column_spanner_outer:last-child {
+#rfnzyvafje .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#msdeyoycfy .gt_column_spanner {
+#rfnzyvafje .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -33317,11 +33317,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#msdeyoycfy .gt_spanner_row {
+#rfnzyvafje .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#msdeyoycfy .gt_group_heading {
+#rfnzyvafje .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -33347,7 +33347,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#msdeyoycfy .gt_empty_group_heading {
+#rfnzyvafje .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -33362,15 +33362,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#msdeyoycfy .gt_from_md > :first-child {
+#rfnzyvafje .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#msdeyoycfy .gt_from_md > :last-child {
+#rfnzyvafje .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#msdeyoycfy .gt_row {
+#rfnzyvafje .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -33389,7 +33389,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#msdeyoycfy .gt_stub {
+#rfnzyvafje .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -33402,7 +33402,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#msdeyoycfy .gt_stub_row_group {
+#rfnzyvafje .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -33416,15 +33416,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#msdeyoycfy .gt_row_group_first td {
+#rfnzyvafje .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#msdeyoycfy .gt_row_group_first th {
+#rfnzyvafje .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#msdeyoycfy .gt_summary_row {
+#rfnzyvafje .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -33434,16 +33434,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#msdeyoycfy .gt_first_summary_row {
+#rfnzyvafje .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#msdeyoycfy .gt_first_summary_row.thick {
+#rfnzyvafje .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#msdeyoycfy .gt_last_summary_row {
+#rfnzyvafje .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -33453,7 +33453,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#msdeyoycfy .gt_grand_summary_row {
+#rfnzyvafje .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -33463,7 +33463,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#msdeyoycfy .gt_first_grand_summary_row {
+#rfnzyvafje .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -33473,7 +33473,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#msdeyoycfy .gt_last_grand_summary_row_top {
+#rfnzyvafje .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -33483,11 +33483,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#msdeyoycfy .gt_striped {
+#rfnzyvafje .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#msdeyoycfy .gt_table_body {
+#rfnzyvafje .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -33496,7 +33496,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#msdeyoycfy .gt_footnotes {
+#rfnzyvafje .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -33510,7 +33510,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#msdeyoycfy .gt_footnote {
+#rfnzyvafje .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -33519,7 +33519,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#msdeyoycfy .gt_sourcenotes {
+#rfnzyvafje .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -33533,7 +33533,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#msdeyoycfy .gt_sourcenote {
+#rfnzyvafje .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -33541,63 +33541,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#msdeyoycfy .gt_left {
+#rfnzyvafje .gt_left {
   text-align: left;
 }
 
-#msdeyoycfy .gt_center {
+#rfnzyvafje .gt_center {
   text-align: center;
 }
 
-#msdeyoycfy .gt_right {
+#rfnzyvafje .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#msdeyoycfy .gt_font_normal {
+#rfnzyvafje .gt_font_normal {
   font-weight: normal;
 }
 
-#msdeyoycfy .gt_font_bold {
+#rfnzyvafje .gt_font_bold {
   font-weight: bold;
 }
 
-#msdeyoycfy .gt_font_italic {
+#rfnzyvafje .gt_font_italic {
   font-style: italic;
 }
 
-#msdeyoycfy .gt_super {
+#rfnzyvafje .gt_super {
   font-size: 65%;
 }
 
-#msdeyoycfy .gt_footnote_marks {
+#rfnzyvafje .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#msdeyoycfy .gt_asterisk {
+#rfnzyvafje .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#msdeyoycfy .gt_indent_1 {
+#rfnzyvafje .gt_indent_1 {
   text-indent: 5px;
 }
 
-#msdeyoycfy .gt_indent_2 {
+#rfnzyvafje .gt_indent_2 {
   text-indent: 10px;
 }
 
-#msdeyoycfy .gt_indent_3 {
+#rfnzyvafje .gt_indent_3 {
   text-indent: 15px;
 }
 
-#msdeyoycfy .gt_indent_4 {
+#rfnzyvafje .gt_indent_4 {
   text-indent: 20px;
 }
 
-#msdeyoycfy .gt_indent_5 {
+#rfnzyvafje .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -33625,39 +33625,39 @@ <h2 class="page-header">Variables</h2>
 </div>
 <div class="col-sm-4"> </div>
 <div class="col-sm-12 text-left">
-<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-jrwwindlfp, #minifreqtablejrwwindlfp" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
+<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-ghlyhsmqiv, #minifreqtableghlyhsmqiv" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
 </div>
-<div id="bottom-jrwwindlfp" class="collapse" aria-expanded="false" style="height: 5px;">
+<div id="bottom-ghlyhsmqiv" class="collapse" aria-expanded="false" style="height: 5px;">
 <div class="row spacing">
 <ul class="nav nav-tabs" role="tablist">
 <li role="presentation" class="active" style="padding-top: 5px;">
-<a href="#jrwwindlfpbottom-jrwwindlfpcommon_values" aria-controls="jrwwindlfpbottom-jrwwindlfpcommon_values" role="tab" data-toggle="tab">Common Values</a>
+<a href="#ghlyhsmqivbottom-ghlyhsmqivcommon_values" aria-controls="ghlyhsmqivbottom-ghlyhsmqivcommon_values" role="tab" data-toggle="tab">Common Values</a>
 </li>
 <li role="presentation" class="" style="padding-top: 5px;">
-<a href="#jrwwindlfpbottom-jrwwindlfplengths" aria-controls="jrwwindlfpbottom-jrwwindlfplengths" role="tab" data-toggle="tab">String Lengths</a>
+<a href="#ghlyhsmqivbottom-ghlyhsmqivlengths" aria-controls="ghlyhsmqivbottom-ghlyhsmqivlengths" role="tab" data-toggle="tab">String Lengths</a>
 </li>
 </ul>
 <div class="tab-content">
-<div role="tabpanel" class="tab-pane col-sm-12 active" id="jrwwindlfpbottom-jrwwindlfpcommon_values">
+<div role="tabpanel" class="tab-pane col-sm-12 active" id="ghlyhsmqivbottom-ghlyhsmqivcommon_values">
 <div class="col-sm-12">
 <p class="h4"></p>
-<div id="fixwlektcd" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#fixwlektcd table {
+<div id="ovgcxwicik" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#ovgcxwicik table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#fixwlektcd thead, #fixwlektcd tbody, #fixwlektcd tfoot, #fixwlektcd tr, #fixwlektcd td, #fixwlektcd th {
+#ovgcxwicik thead, #ovgcxwicik tbody, #ovgcxwicik tfoot, #ovgcxwicik tr, #ovgcxwicik td, #ovgcxwicik th {
   border-style: none;
 }
 
-#fixwlektcd p {
+#ovgcxwicik p {
   margin: 0;
   padding: 0;
 }
 
-#fixwlektcd .gt_table {
+#ovgcxwicik .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -33683,12 +33683,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#fixwlektcd .gt_caption {
+#ovgcxwicik .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#fixwlektcd .gt_title {
+#ovgcxwicik .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -33700,7 +33700,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#fixwlektcd .gt_subtitle {
+#ovgcxwicik .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -33712,7 +33712,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#fixwlektcd .gt_heading {
+#ovgcxwicik .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -33724,13 +33724,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#fixwlektcd .gt_bottom_border {
+#ovgcxwicik .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#fixwlektcd .gt_col_headings {
+#ovgcxwicik .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -33745,7 +33745,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#fixwlektcd .gt_col_heading {
+#ovgcxwicik .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -33765,7 +33765,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#fixwlektcd .gt_column_spanner_outer {
+#ovgcxwicik .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -33777,15 +33777,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#fixwlektcd .gt_column_spanner_outer:first-child {
+#ovgcxwicik .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#fixwlektcd .gt_column_spanner_outer:last-child {
+#ovgcxwicik .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#fixwlektcd .gt_column_spanner {
+#ovgcxwicik .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -33797,11 +33797,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#fixwlektcd .gt_spanner_row {
+#ovgcxwicik .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#fixwlektcd .gt_group_heading {
+#ovgcxwicik .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -33827,7 +33827,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#fixwlektcd .gt_empty_group_heading {
+#ovgcxwicik .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -33842,15 +33842,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#fixwlektcd .gt_from_md > :first-child {
+#ovgcxwicik .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#fixwlektcd .gt_from_md > :last-child {
+#ovgcxwicik .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#fixwlektcd .gt_row {
+#ovgcxwicik .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -33869,7 +33869,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#fixwlektcd .gt_stub {
+#ovgcxwicik .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -33882,7 +33882,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#fixwlektcd .gt_stub_row_group {
+#ovgcxwicik .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -33896,15 +33896,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#fixwlektcd .gt_row_group_first td {
+#ovgcxwicik .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#fixwlektcd .gt_row_group_first th {
+#ovgcxwicik .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#fixwlektcd .gt_summary_row {
+#ovgcxwicik .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -33914,16 +33914,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#fixwlektcd .gt_first_summary_row {
+#ovgcxwicik .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#fixwlektcd .gt_first_summary_row.thick {
+#ovgcxwicik .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#fixwlektcd .gt_last_summary_row {
+#ovgcxwicik .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -33933,7 +33933,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#fixwlektcd .gt_grand_summary_row {
+#ovgcxwicik .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -33943,7 +33943,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#fixwlektcd .gt_first_grand_summary_row {
+#ovgcxwicik .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -33953,7 +33953,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#fixwlektcd .gt_last_grand_summary_row_top {
+#ovgcxwicik .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -33963,11 +33963,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#fixwlektcd .gt_striped {
+#ovgcxwicik .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#fixwlektcd .gt_table_body {
+#ovgcxwicik .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -33976,7 +33976,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#fixwlektcd .gt_footnotes {
+#ovgcxwicik .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -33990,7 +33990,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#fixwlektcd .gt_footnote {
+#ovgcxwicik .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -33999,7 +33999,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#fixwlektcd .gt_sourcenotes {
+#ovgcxwicik .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -34013,7 +34013,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#fixwlektcd .gt_sourcenote {
+#ovgcxwicik .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -34021,63 +34021,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#fixwlektcd .gt_left {
+#ovgcxwicik .gt_left {
   text-align: left;
 }
 
-#fixwlektcd .gt_center {
+#ovgcxwicik .gt_center {
   text-align: center;
 }
 
-#fixwlektcd .gt_right {
+#ovgcxwicik .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#fixwlektcd .gt_font_normal {
+#ovgcxwicik .gt_font_normal {
   font-weight: normal;
 }
 
-#fixwlektcd .gt_font_bold {
+#ovgcxwicik .gt_font_bold {
   font-weight: bold;
 }
 
-#fixwlektcd .gt_font_italic {
+#ovgcxwicik .gt_font_italic {
   font-style: italic;
 }
 
-#fixwlektcd .gt_super {
+#ovgcxwicik .gt_super {
   font-size: 65%;
 }
 
-#fixwlektcd .gt_footnote_marks {
+#ovgcxwicik .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#fixwlektcd .gt_asterisk {
+#ovgcxwicik .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#fixwlektcd .gt_indent_1 {
+#ovgcxwicik .gt_indent_1 {
   text-indent: 5px;
 }
 
-#fixwlektcd .gt_indent_2 {
+#ovgcxwicik .gt_indent_2 {
   text-indent: 10px;
 }
 
-#fixwlektcd .gt_indent_3 {
+#ovgcxwicik .gt_indent_3 {
   text-indent: 15px;
 }
 
-#fixwlektcd .gt_indent_4 {
+#ovgcxwicik .gt_indent_4 {
   text-indent: 20px;
 }
 
-#fixwlektcd .gt_indent_5 {
+#ovgcxwicik .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -34135,26 +34135,26 @@ <h2 class="page-header">Variables</h2>
 </div>
 </div>
 </div>
-<div role="tabpanel" class="tab-pane col-sm-12" id="jrwwindlfpbottom-jrwwindlfplengths">
+<div role="tabpanel" class="tab-pane col-sm-12" id="ghlyhsmqivbottom-ghlyhsmqivlengths">
 <div class="col-sm-4">
 <p class="h4">String Lengths</p>
-<div id="dhqntukoxr" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#dhqntukoxr table {
+<div id="xckumgkdgy" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#xckumgkdgy table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#dhqntukoxr thead, #dhqntukoxr tbody, #dhqntukoxr tfoot, #dhqntukoxr tr, #dhqntukoxr td, #dhqntukoxr th {
+#xckumgkdgy thead, #xckumgkdgy tbody, #xckumgkdgy tfoot, #xckumgkdgy tr, #xckumgkdgy td, #xckumgkdgy th {
   border-style: none;
 }
 
-#dhqntukoxr p {
+#xckumgkdgy p {
   margin: 0;
   padding: 0;
 }
 
-#dhqntukoxr .gt_table {
+#xckumgkdgy .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -34180,12 +34180,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#dhqntukoxr .gt_caption {
+#xckumgkdgy .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#dhqntukoxr .gt_title {
+#xckumgkdgy .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -34197,7 +34197,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#dhqntukoxr .gt_subtitle {
+#xckumgkdgy .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -34209,7 +34209,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#dhqntukoxr .gt_heading {
+#xckumgkdgy .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -34221,13 +34221,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#dhqntukoxr .gt_bottom_border {
+#xckumgkdgy .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#dhqntukoxr .gt_col_headings {
+#xckumgkdgy .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -34242,7 +34242,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#dhqntukoxr .gt_col_heading {
+#xckumgkdgy .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -34262,7 +34262,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#dhqntukoxr .gt_column_spanner_outer {
+#xckumgkdgy .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -34274,15 +34274,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#dhqntukoxr .gt_column_spanner_outer:first-child {
+#xckumgkdgy .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#dhqntukoxr .gt_column_spanner_outer:last-child {
+#xckumgkdgy .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#dhqntukoxr .gt_column_spanner {
+#xckumgkdgy .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -34294,11 +34294,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#dhqntukoxr .gt_spanner_row {
+#xckumgkdgy .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#dhqntukoxr .gt_group_heading {
+#xckumgkdgy .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -34324,7 +34324,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#dhqntukoxr .gt_empty_group_heading {
+#xckumgkdgy .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -34339,15 +34339,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#dhqntukoxr .gt_from_md > :first-child {
+#xckumgkdgy .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#dhqntukoxr .gt_from_md > :last-child {
+#xckumgkdgy .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#dhqntukoxr .gt_row {
+#xckumgkdgy .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -34366,7 +34366,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#dhqntukoxr .gt_stub {
+#xckumgkdgy .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -34379,7 +34379,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#dhqntukoxr .gt_stub_row_group {
+#xckumgkdgy .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -34393,15 +34393,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#dhqntukoxr .gt_row_group_first td {
+#xckumgkdgy .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#dhqntukoxr .gt_row_group_first th {
+#xckumgkdgy .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#dhqntukoxr .gt_summary_row {
+#xckumgkdgy .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -34411,16 +34411,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#dhqntukoxr .gt_first_summary_row {
+#xckumgkdgy .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#dhqntukoxr .gt_first_summary_row.thick {
+#xckumgkdgy .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#dhqntukoxr .gt_last_summary_row {
+#xckumgkdgy .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -34430,7 +34430,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#dhqntukoxr .gt_grand_summary_row {
+#xckumgkdgy .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -34440,7 +34440,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#dhqntukoxr .gt_first_grand_summary_row {
+#xckumgkdgy .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -34450,7 +34450,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#dhqntukoxr .gt_last_grand_summary_row_top {
+#xckumgkdgy .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -34460,11 +34460,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#dhqntukoxr .gt_striped {
+#xckumgkdgy .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#dhqntukoxr .gt_table_body {
+#xckumgkdgy .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -34473,7 +34473,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#dhqntukoxr .gt_footnotes {
+#xckumgkdgy .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -34487,7 +34487,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#dhqntukoxr .gt_footnote {
+#xckumgkdgy .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -34496,7 +34496,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#dhqntukoxr .gt_sourcenotes {
+#xckumgkdgy .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -34510,7 +34510,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#dhqntukoxr .gt_sourcenote {
+#xckumgkdgy .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -34518,63 +34518,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#dhqntukoxr .gt_left {
+#xckumgkdgy .gt_left {
   text-align: left;
 }
 
-#dhqntukoxr .gt_center {
+#xckumgkdgy .gt_center {
   text-align: center;
 }
 
-#dhqntukoxr .gt_right {
+#xckumgkdgy .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#dhqntukoxr .gt_font_normal {
+#xckumgkdgy .gt_font_normal {
   font-weight: normal;
 }
 
-#dhqntukoxr .gt_font_bold {
+#xckumgkdgy .gt_font_bold {
   font-weight: bold;
 }
 
-#dhqntukoxr .gt_font_italic {
+#xckumgkdgy .gt_font_italic {
   font-style: italic;
 }
 
-#dhqntukoxr .gt_super {
+#xckumgkdgy .gt_super {
   font-size: 65%;
 }
 
-#dhqntukoxr .gt_footnote_marks {
+#xckumgkdgy .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#dhqntukoxr .gt_asterisk {
+#xckumgkdgy .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#dhqntukoxr .gt_indent_1 {
+#xckumgkdgy .gt_indent_1 {
   text-indent: 5px;
 }
 
-#dhqntukoxr .gt_indent_2 {
+#xckumgkdgy .gt_indent_2 {
   text-indent: 10px;
 }
 
-#dhqntukoxr .gt_indent_3 {
+#xckumgkdgy .gt_indent_3 {
   text-indent: 15px;
 }
 
-#dhqntukoxr .gt_indent_4 {
+#xckumgkdgy .gt_indent_4 {
   text-indent: 20px;
 }
 
-#dhqntukoxr .gt_indent_5 {
+#xckumgkdgy .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -34606,11 +34606,11 @@ <h2 class="page-header">Variables</h2>
 </a>
 </div>
 <div class="row spacing">
-<a class="anchor-pos anchor-pos-variable" id="pp_var_aoprkjbbvj">
+<a class="anchor-pos anchor-pos-variable" id="pp_var_fbzxygrcfy">
 <div class="variable">
 <div class="col-sm-3">
 <p class="h4" style="margin-bottom:0;margin-top:-2px;" title="Confidence.Ranking">
-<a href="#pp_var_aoprkjbbvj">
+<a href="#pp_var_fbzxygrcfy">
 Confidence.Ranking
 <br><small style="margin-top:0;">
 <code>character</code>
@@ -34619,23 +34619,23 @@ <h2 class="page-header">Variables</h2>
 </p>
 </div>
 <div class="col-sm-5">
-<div id="iubbdxezga" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#iubbdxezga table {
+<div id="vtpmffuqib" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#vtpmffuqib table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#iubbdxezga thead, #iubbdxezga tbody, #iubbdxezga tfoot, #iubbdxezga tr, #iubbdxezga td, #iubbdxezga th {
+#vtpmffuqib thead, #vtpmffuqib tbody, #vtpmffuqib tfoot, #vtpmffuqib tr, #vtpmffuqib td, #vtpmffuqib th {
   border-style: none;
 }
 
-#iubbdxezga p {
+#vtpmffuqib p {
   margin: 0;
   padding: 0;
 }
 
-#iubbdxezga .gt_table {
+#vtpmffuqib .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -34661,12 +34661,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#iubbdxezga .gt_caption {
+#vtpmffuqib .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#iubbdxezga .gt_title {
+#vtpmffuqib .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -34678,7 +34678,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#iubbdxezga .gt_subtitle {
+#vtpmffuqib .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -34690,7 +34690,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#iubbdxezga .gt_heading {
+#vtpmffuqib .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -34702,13 +34702,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#iubbdxezga .gt_bottom_border {
+#vtpmffuqib .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#iubbdxezga .gt_col_headings {
+#vtpmffuqib .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -34723,7 +34723,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#iubbdxezga .gt_col_heading {
+#vtpmffuqib .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -34743,7 +34743,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#iubbdxezga .gt_column_spanner_outer {
+#vtpmffuqib .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -34755,15 +34755,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#iubbdxezga .gt_column_spanner_outer:first-child {
+#vtpmffuqib .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#iubbdxezga .gt_column_spanner_outer:last-child {
+#vtpmffuqib .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#iubbdxezga .gt_column_spanner {
+#vtpmffuqib .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -34775,11 +34775,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#iubbdxezga .gt_spanner_row {
+#vtpmffuqib .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#iubbdxezga .gt_group_heading {
+#vtpmffuqib .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -34805,7 +34805,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#iubbdxezga .gt_empty_group_heading {
+#vtpmffuqib .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -34820,15 +34820,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#iubbdxezga .gt_from_md > :first-child {
+#vtpmffuqib .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#iubbdxezga .gt_from_md > :last-child {
+#vtpmffuqib .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#iubbdxezga .gt_row {
+#vtpmffuqib .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -34847,7 +34847,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#iubbdxezga .gt_stub {
+#vtpmffuqib .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -34860,7 +34860,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#iubbdxezga .gt_stub_row_group {
+#vtpmffuqib .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -34874,15 +34874,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#iubbdxezga .gt_row_group_first td {
+#vtpmffuqib .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#iubbdxezga .gt_row_group_first th {
+#vtpmffuqib .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#iubbdxezga .gt_summary_row {
+#vtpmffuqib .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -34892,16 +34892,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#iubbdxezga .gt_first_summary_row {
+#vtpmffuqib .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#iubbdxezga .gt_first_summary_row.thick {
+#vtpmffuqib .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#iubbdxezga .gt_last_summary_row {
+#vtpmffuqib .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -34911,7 +34911,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#iubbdxezga .gt_grand_summary_row {
+#vtpmffuqib .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -34921,7 +34921,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#iubbdxezga .gt_first_grand_summary_row {
+#vtpmffuqib .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -34931,7 +34931,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#iubbdxezga .gt_last_grand_summary_row_top {
+#vtpmffuqib .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -34941,11 +34941,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#iubbdxezga .gt_striped {
+#vtpmffuqib .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#iubbdxezga .gt_table_body {
+#vtpmffuqib .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -34954,7 +34954,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#iubbdxezga .gt_footnotes {
+#vtpmffuqib .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -34968,7 +34968,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#iubbdxezga .gt_footnote {
+#vtpmffuqib .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -34977,7 +34977,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#iubbdxezga .gt_sourcenotes {
+#vtpmffuqib .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -34991,7 +34991,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#iubbdxezga .gt_sourcenote {
+#vtpmffuqib .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -34999,63 +34999,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#iubbdxezga .gt_left {
+#vtpmffuqib .gt_left {
   text-align: left;
 }
 
-#iubbdxezga .gt_center {
+#vtpmffuqib .gt_center {
   text-align: center;
 }
 
-#iubbdxezga .gt_right {
+#vtpmffuqib .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#iubbdxezga .gt_font_normal {
+#vtpmffuqib .gt_font_normal {
   font-weight: normal;
 }
 
-#iubbdxezga .gt_font_bold {
+#vtpmffuqib .gt_font_bold {
   font-weight: bold;
 }
 
-#iubbdxezga .gt_font_italic {
+#vtpmffuqib .gt_font_italic {
   font-style: italic;
 }
 
-#iubbdxezga .gt_super {
+#vtpmffuqib .gt_super {
   font-size: 65%;
 }
 
-#iubbdxezga .gt_footnote_marks {
+#vtpmffuqib .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#iubbdxezga .gt_asterisk {
+#vtpmffuqib .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#iubbdxezga .gt_indent_1 {
+#vtpmffuqib .gt_indent_1 {
   text-indent: 5px;
 }
 
-#iubbdxezga .gt_indent_2 {
+#vtpmffuqib .gt_indent_2 {
   text-indent: 10px;
 }
 
-#iubbdxezga .gt_indent_3 {
+#vtpmffuqib .gt_indent_3 {
   text-indent: 15px;
 }
 
-#iubbdxezga .gt_indent_4 {
+#vtpmffuqib .gt_indent_4 {
   text-indent: 20px;
 }
 
-#iubbdxezga .gt_indent_5 {
+#vtpmffuqib .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -35083,39 +35083,39 @@ <h2 class="page-header">Variables</h2>
 </div>
 <div class="col-sm-4"> </div>
 <div class="col-sm-12 text-left">
-<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-aoprkjbbvj, #minifreqtableaoprkjbbvj" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
+<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-fbzxygrcfy, #minifreqtablefbzxygrcfy" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
 </div>
-<div id="bottom-aoprkjbbvj" class="collapse" aria-expanded="false" style="height: 5px;">
+<div id="bottom-fbzxygrcfy" class="collapse" aria-expanded="false" style="height: 5px;">
 <div class="row spacing">
 <ul class="nav nav-tabs" role="tablist">
 <li role="presentation" class="active" style="padding-top: 5px;">
-<a href="#aoprkjbbvjbottom-aoprkjbbvjcommon_values" aria-controls="aoprkjbbvjbottom-aoprkjbbvjcommon_values" role="tab" data-toggle="tab">Common Values</a>
+<a href="#fbzxygrcfybottom-fbzxygrcfycommon_values" aria-controls="fbzxygrcfybottom-fbzxygrcfycommon_values" role="tab" data-toggle="tab">Common Values</a>
 </li>
 <li role="presentation" class="" style="padding-top: 5px;">
-<a href="#aoprkjbbvjbottom-aoprkjbbvjlengths" aria-controls="aoprkjbbvjbottom-aoprkjbbvjlengths" role="tab" data-toggle="tab">String Lengths</a>
+<a href="#fbzxygrcfybottom-fbzxygrcfylengths" aria-controls="fbzxygrcfybottom-fbzxygrcfylengths" role="tab" data-toggle="tab">String Lengths</a>
 </li>
 </ul>
 <div class="tab-content">
-<div role="tabpanel" class="tab-pane col-sm-12 active" id="aoprkjbbvjbottom-aoprkjbbvjcommon_values">
+<div role="tabpanel" class="tab-pane col-sm-12 active" id="fbzxygrcfybottom-fbzxygrcfycommon_values">
 <div class="col-sm-12">
 <p class="h4"></p>
-<div id="elvxiiccic" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#elvxiiccic table {
+<div id="pqrqclkgla" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#pqrqclkgla table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#elvxiiccic thead, #elvxiiccic tbody, #elvxiiccic tfoot, #elvxiiccic tr, #elvxiiccic td, #elvxiiccic th {
+#pqrqclkgla thead, #pqrqclkgla tbody, #pqrqclkgla tfoot, #pqrqclkgla tr, #pqrqclkgla td, #pqrqclkgla th {
   border-style: none;
 }
 
-#elvxiiccic p {
+#pqrqclkgla p {
   margin: 0;
   padding: 0;
 }
 
-#elvxiiccic .gt_table {
+#pqrqclkgla .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -35141,12 +35141,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#elvxiiccic .gt_caption {
+#pqrqclkgla .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#elvxiiccic .gt_title {
+#pqrqclkgla .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -35158,7 +35158,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#elvxiiccic .gt_subtitle {
+#pqrqclkgla .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -35170,7 +35170,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#elvxiiccic .gt_heading {
+#pqrqclkgla .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -35182,13 +35182,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#elvxiiccic .gt_bottom_border {
+#pqrqclkgla .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#elvxiiccic .gt_col_headings {
+#pqrqclkgla .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -35203,7 +35203,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#elvxiiccic .gt_col_heading {
+#pqrqclkgla .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -35223,7 +35223,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#elvxiiccic .gt_column_spanner_outer {
+#pqrqclkgla .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -35235,15 +35235,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#elvxiiccic .gt_column_spanner_outer:first-child {
+#pqrqclkgla .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#elvxiiccic .gt_column_spanner_outer:last-child {
+#pqrqclkgla .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#elvxiiccic .gt_column_spanner {
+#pqrqclkgla .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -35255,11 +35255,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#elvxiiccic .gt_spanner_row {
+#pqrqclkgla .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#elvxiiccic .gt_group_heading {
+#pqrqclkgla .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -35285,7 +35285,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#elvxiiccic .gt_empty_group_heading {
+#pqrqclkgla .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -35300,15 +35300,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#elvxiiccic .gt_from_md > :first-child {
+#pqrqclkgla .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#elvxiiccic .gt_from_md > :last-child {
+#pqrqclkgla .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#elvxiiccic .gt_row {
+#pqrqclkgla .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -35327,7 +35327,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#elvxiiccic .gt_stub {
+#pqrqclkgla .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -35340,7 +35340,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#elvxiiccic .gt_stub_row_group {
+#pqrqclkgla .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -35354,15 +35354,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#elvxiiccic .gt_row_group_first td {
+#pqrqclkgla .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#elvxiiccic .gt_row_group_first th {
+#pqrqclkgla .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#elvxiiccic .gt_summary_row {
+#pqrqclkgla .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -35372,16 +35372,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#elvxiiccic .gt_first_summary_row {
+#pqrqclkgla .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#elvxiiccic .gt_first_summary_row.thick {
+#pqrqclkgla .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#elvxiiccic .gt_last_summary_row {
+#pqrqclkgla .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -35391,7 +35391,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#elvxiiccic .gt_grand_summary_row {
+#pqrqclkgla .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -35401,7 +35401,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#elvxiiccic .gt_first_grand_summary_row {
+#pqrqclkgla .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -35411,7 +35411,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#elvxiiccic .gt_last_grand_summary_row_top {
+#pqrqclkgla .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -35421,11 +35421,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#elvxiiccic .gt_striped {
+#pqrqclkgla .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#elvxiiccic .gt_table_body {
+#pqrqclkgla .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -35434,7 +35434,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#elvxiiccic .gt_footnotes {
+#pqrqclkgla .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -35448,7 +35448,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#elvxiiccic .gt_footnote {
+#pqrqclkgla .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -35457,7 +35457,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#elvxiiccic .gt_sourcenotes {
+#pqrqclkgla .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -35471,7 +35471,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#elvxiiccic .gt_sourcenote {
+#pqrqclkgla .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -35479,63 +35479,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#elvxiiccic .gt_left {
+#pqrqclkgla .gt_left {
   text-align: left;
 }
 
-#elvxiiccic .gt_center {
+#pqrqclkgla .gt_center {
   text-align: center;
 }
 
-#elvxiiccic .gt_right {
+#pqrqclkgla .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#elvxiiccic .gt_font_normal {
+#pqrqclkgla .gt_font_normal {
   font-weight: normal;
 }
 
-#elvxiiccic .gt_font_bold {
+#pqrqclkgla .gt_font_bold {
   font-weight: bold;
 }
 
-#elvxiiccic .gt_font_italic {
+#pqrqclkgla .gt_font_italic {
   font-style: italic;
 }
 
-#elvxiiccic .gt_super {
+#pqrqclkgla .gt_super {
   font-size: 65%;
 }
 
-#elvxiiccic .gt_footnote_marks {
+#pqrqclkgla .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#elvxiiccic .gt_asterisk {
+#pqrqclkgla .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#elvxiiccic .gt_indent_1 {
+#pqrqclkgla .gt_indent_1 {
   text-indent: 5px;
 }
 
-#elvxiiccic .gt_indent_2 {
+#pqrqclkgla .gt_indent_2 {
   text-indent: 10px;
 }
 
-#elvxiiccic .gt_indent_3 {
+#pqrqclkgla .gt_indent_3 {
   text-indent: 15px;
 }
 
-#elvxiiccic .gt_indent_4 {
+#pqrqclkgla .gt_indent_4 {
   text-indent: 20px;
 }
 
-#elvxiiccic .gt_indent_5 {
+#pqrqclkgla .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -35578,26 +35578,26 @@ <h2 class="page-header">Variables</h2>
 </div>
 </div>
 </div>
-<div role="tabpanel" class="tab-pane col-sm-12" id="aoprkjbbvjbottom-aoprkjbbvjlengths">
+<div role="tabpanel" class="tab-pane col-sm-12" id="fbzxygrcfybottom-fbzxygrcfylengths">
 <div class="col-sm-4">
 <p class="h4">String Lengths</p>
-<div id="lazkhdldji" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#lazkhdldji table {
+<div id="lmpwsqfapv" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#lmpwsqfapv table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#lazkhdldji thead, #lazkhdldji tbody, #lazkhdldji tfoot, #lazkhdldji tr, #lazkhdldji td, #lazkhdldji th {
+#lmpwsqfapv thead, #lmpwsqfapv tbody, #lmpwsqfapv tfoot, #lmpwsqfapv tr, #lmpwsqfapv td, #lmpwsqfapv th {
   border-style: none;
 }
 
-#lazkhdldji p {
+#lmpwsqfapv p {
   margin: 0;
   padding: 0;
 }
 
-#lazkhdldji .gt_table {
+#lmpwsqfapv .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -35623,12 +35623,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#lazkhdldji .gt_caption {
+#lmpwsqfapv .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#lazkhdldji .gt_title {
+#lmpwsqfapv .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -35640,7 +35640,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#lazkhdldji .gt_subtitle {
+#lmpwsqfapv .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -35652,7 +35652,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#lazkhdldji .gt_heading {
+#lmpwsqfapv .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -35664,13 +35664,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#lazkhdldji .gt_bottom_border {
+#lmpwsqfapv .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#lazkhdldji .gt_col_headings {
+#lmpwsqfapv .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -35685,7 +35685,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#lazkhdldji .gt_col_heading {
+#lmpwsqfapv .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -35705,7 +35705,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#lazkhdldji .gt_column_spanner_outer {
+#lmpwsqfapv .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -35717,15 +35717,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#lazkhdldji .gt_column_spanner_outer:first-child {
+#lmpwsqfapv .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#lazkhdldji .gt_column_spanner_outer:last-child {
+#lmpwsqfapv .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#lazkhdldji .gt_column_spanner {
+#lmpwsqfapv .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -35737,11 +35737,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#lazkhdldji .gt_spanner_row {
+#lmpwsqfapv .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#lazkhdldji .gt_group_heading {
+#lmpwsqfapv .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -35767,7 +35767,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#lazkhdldji .gt_empty_group_heading {
+#lmpwsqfapv .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -35782,15 +35782,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#lazkhdldji .gt_from_md > :first-child {
+#lmpwsqfapv .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#lazkhdldji .gt_from_md > :last-child {
+#lmpwsqfapv .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#lazkhdldji .gt_row {
+#lmpwsqfapv .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -35809,7 +35809,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#lazkhdldji .gt_stub {
+#lmpwsqfapv .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -35822,7 +35822,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#lazkhdldji .gt_stub_row_group {
+#lmpwsqfapv .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -35836,15 +35836,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#lazkhdldji .gt_row_group_first td {
+#lmpwsqfapv .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#lazkhdldji .gt_row_group_first th {
+#lmpwsqfapv .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#lazkhdldji .gt_summary_row {
+#lmpwsqfapv .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -35854,16 +35854,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#lazkhdldji .gt_first_summary_row {
+#lmpwsqfapv .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#lazkhdldji .gt_first_summary_row.thick {
+#lmpwsqfapv .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#lazkhdldji .gt_last_summary_row {
+#lmpwsqfapv .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -35873,7 +35873,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#lazkhdldji .gt_grand_summary_row {
+#lmpwsqfapv .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -35883,7 +35883,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#lazkhdldji .gt_first_grand_summary_row {
+#lmpwsqfapv .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -35893,7 +35893,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#lazkhdldji .gt_last_grand_summary_row_top {
+#lmpwsqfapv .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -35903,11 +35903,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#lazkhdldji .gt_striped {
+#lmpwsqfapv .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#lazkhdldji .gt_table_body {
+#lmpwsqfapv .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -35916,7 +35916,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#lazkhdldji .gt_footnotes {
+#lmpwsqfapv .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -35930,7 +35930,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#lazkhdldji .gt_footnote {
+#lmpwsqfapv .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -35939,7 +35939,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#lazkhdldji .gt_sourcenotes {
+#lmpwsqfapv .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -35953,7 +35953,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#lazkhdldji .gt_sourcenote {
+#lmpwsqfapv .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -35961,63 +35961,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#lazkhdldji .gt_left {
+#lmpwsqfapv .gt_left {
   text-align: left;
 }
 
-#lazkhdldji .gt_center {
+#lmpwsqfapv .gt_center {
   text-align: center;
 }
 
-#lazkhdldji .gt_right {
+#lmpwsqfapv .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#lazkhdldji .gt_font_normal {
+#lmpwsqfapv .gt_font_normal {
   font-weight: normal;
 }
 
-#lazkhdldji .gt_font_bold {
+#lmpwsqfapv .gt_font_bold {
   font-weight: bold;
 }
 
-#lazkhdldji .gt_font_italic {
+#lmpwsqfapv .gt_font_italic {
   font-style: italic;
 }
 
-#lazkhdldji .gt_super {
+#lmpwsqfapv .gt_super {
   font-size: 65%;
 }
 
-#lazkhdldji .gt_footnote_marks {
+#lmpwsqfapv .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#lazkhdldji .gt_asterisk {
+#lmpwsqfapv .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#lazkhdldji .gt_indent_1 {
+#lmpwsqfapv .gt_indent_1 {
   text-indent: 5px;
 }
 
-#lazkhdldji .gt_indent_2 {
+#lmpwsqfapv .gt_indent_2 {
   text-indent: 10px;
 }
 
-#lazkhdldji .gt_indent_3 {
+#lmpwsqfapv .gt_indent_3 {
   text-indent: 15px;
 }
 
-#lazkhdldji .gt_indent_4 {
+#lmpwsqfapv .gt_indent_4 {
   text-indent: 20px;
 }
 
-#lazkhdldji .gt_indent_5 {
+#lmpwsqfapv .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -36049,11 +36049,11 @@ <h2 class="page-header">Variables</h2>
 </a>
 </div>
 <div class="row spacing">
-<a class="anchor-pos anchor-pos-variable" id="pp_var_nxhayacfiv">
+<a class="anchor-pos anchor-pos-variable" id="pp_var_hdodwdstdw">
 <div class="variable">
 <div class="col-sm-3">
 <p class="h4" style="margin-bottom:0;margin-top:-2px;" title="Genus_species">
-<a href="#pp_var_nxhayacfiv">
+<a href="#pp_var_hdodwdstdw">
 Genus_species
 <br><small style="margin-top:0;">
 <code>character</code>
@@ -36062,23 +36062,23 @@ <h2 class="page-header">Variables</h2>
 </p>
 </div>
 <div class="col-sm-5">
-<div id="ktbjtqjowg" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#ktbjtqjowg table {
+<div id="qfpbstxldk" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#qfpbstxldk table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#ktbjtqjowg thead, #ktbjtqjowg tbody, #ktbjtqjowg tfoot, #ktbjtqjowg tr, #ktbjtqjowg td, #ktbjtqjowg th {
+#qfpbstxldk thead, #qfpbstxldk tbody, #qfpbstxldk tfoot, #qfpbstxldk tr, #qfpbstxldk td, #qfpbstxldk th {
   border-style: none;
 }
 
-#ktbjtqjowg p {
+#qfpbstxldk p {
   margin: 0;
   padding: 0;
 }
 
-#ktbjtqjowg .gt_table {
+#qfpbstxldk .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -36104,12 +36104,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#ktbjtqjowg .gt_caption {
+#qfpbstxldk .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#ktbjtqjowg .gt_title {
+#qfpbstxldk .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -36121,7 +36121,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#ktbjtqjowg .gt_subtitle {
+#qfpbstxldk .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -36133,7 +36133,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#ktbjtqjowg .gt_heading {
+#qfpbstxldk .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -36145,13 +36145,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#ktbjtqjowg .gt_bottom_border {
+#qfpbstxldk .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#ktbjtqjowg .gt_col_headings {
+#qfpbstxldk .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -36166,7 +36166,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#ktbjtqjowg .gt_col_heading {
+#qfpbstxldk .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -36186,7 +36186,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#ktbjtqjowg .gt_column_spanner_outer {
+#qfpbstxldk .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -36198,15 +36198,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#ktbjtqjowg .gt_column_spanner_outer:first-child {
+#qfpbstxldk .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#ktbjtqjowg .gt_column_spanner_outer:last-child {
+#qfpbstxldk .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#ktbjtqjowg .gt_column_spanner {
+#qfpbstxldk .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -36218,11 +36218,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#ktbjtqjowg .gt_spanner_row {
+#qfpbstxldk .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#ktbjtqjowg .gt_group_heading {
+#qfpbstxldk .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -36248,7 +36248,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#ktbjtqjowg .gt_empty_group_heading {
+#qfpbstxldk .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -36263,15 +36263,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#ktbjtqjowg .gt_from_md > :first-child {
+#qfpbstxldk .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#ktbjtqjowg .gt_from_md > :last-child {
+#qfpbstxldk .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#ktbjtqjowg .gt_row {
+#qfpbstxldk .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -36290,7 +36290,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#ktbjtqjowg .gt_stub {
+#qfpbstxldk .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -36303,7 +36303,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#ktbjtqjowg .gt_stub_row_group {
+#qfpbstxldk .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -36317,15 +36317,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#ktbjtqjowg .gt_row_group_first td {
+#qfpbstxldk .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#ktbjtqjowg .gt_row_group_first th {
+#qfpbstxldk .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#ktbjtqjowg .gt_summary_row {
+#qfpbstxldk .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -36335,16 +36335,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#ktbjtqjowg .gt_first_summary_row {
+#qfpbstxldk .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#ktbjtqjowg .gt_first_summary_row.thick {
+#qfpbstxldk .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#ktbjtqjowg .gt_last_summary_row {
+#qfpbstxldk .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -36354,7 +36354,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#ktbjtqjowg .gt_grand_summary_row {
+#qfpbstxldk .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -36364,7 +36364,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#ktbjtqjowg .gt_first_grand_summary_row {
+#qfpbstxldk .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -36374,7 +36374,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#ktbjtqjowg .gt_last_grand_summary_row_top {
+#qfpbstxldk .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -36384,11 +36384,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#ktbjtqjowg .gt_striped {
+#qfpbstxldk .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#ktbjtqjowg .gt_table_body {
+#qfpbstxldk .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -36397,7 +36397,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#ktbjtqjowg .gt_footnotes {
+#qfpbstxldk .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -36411,7 +36411,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#ktbjtqjowg .gt_footnote {
+#qfpbstxldk .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -36420,7 +36420,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#ktbjtqjowg .gt_sourcenotes {
+#qfpbstxldk .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -36434,7 +36434,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#ktbjtqjowg .gt_sourcenote {
+#qfpbstxldk .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -36442,63 +36442,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#ktbjtqjowg .gt_left {
+#qfpbstxldk .gt_left {
   text-align: left;
 }
 
-#ktbjtqjowg .gt_center {
+#qfpbstxldk .gt_center {
   text-align: center;
 }
 
-#ktbjtqjowg .gt_right {
+#qfpbstxldk .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#ktbjtqjowg .gt_font_normal {
+#qfpbstxldk .gt_font_normal {
   font-weight: normal;
 }
 
-#ktbjtqjowg .gt_font_bold {
+#qfpbstxldk .gt_font_bold {
   font-weight: bold;
 }
 
-#ktbjtqjowg .gt_font_italic {
+#qfpbstxldk .gt_font_italic {
   font-style: italic;
 }
 
-#ktbjtqjowg .gt_super {
+#qfpbstxldk .gt_super {
   font-size: 65%;
 }
 
-#ktbjtqjowg .gt_footnote_marks {
+#qfpbstxldk .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#ktbjtqjowg .gt_asterisk {
+#qfpbstxldk .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#ktbjtqjowg .gt_indent_1 {
+#qfpbstxldk .gt_indent_1 {
   text-indent: 5px;
 }
 
-#ktbjtqjowg .gt_indent_2 {
+#qfpbstxldk .gt_indent_2 {
   text-indent: 10px;
 }
 
-#ktbjtqjowg .gt_indent_3 {
+#qfpbstxldk .gt_indent_3 {
   text-indent: 15px;
 }
 
-#ktbjtqjowg .gt_indent_4 {
+#qfpbstxldk .gt_indent_4 {
   text-indent: 20px;
 }
 
-#ktbjtqjowg .gt_indent_5 {
+#qfpbstxldk .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -36526,39 +36526,39 @@ <h2 class="page-header">Variables</h2>
 </div>
 <div class="col-sm-4"> </div>
 <div class="col-sm-12 text-left">
-<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-nxhayacfiv, #minifreqtablenxhayacfiv" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
+<button class="btn btn-default btn-sm" style="margin-top: 5px;" data-toggle="collapse" data-target="#bottom-hdodwdstdw, #minifreqtablehdodwdstdw" aria-expanded="true" aria-controls="collapseExample">Toggle details</button>
 </div>
-<div id="bottom-nxhayacfiv" class="collapse" aria-expanded="false" style="height: 5px;">
+<div id="bottom-hdodwdstdw" class="collapse" aria-expanded="false" style="height: 5px;">
 <div class="row spacing">
 <ul class="nav nav-tabs" role="tablist">
 <li role="presentation" class="active" style="padding-top: 5px;">
-<a href="#nxhayacfivbottom-nxhayacfivcommon_values" aria-controls="nxhayacfivbottom-nxhayacfivcommon_values" role="tab" data-toggle="tab">Common Values</a>
+<a href="#hdodwdstdwbottom-hdodwdstdwcommon_values" aria-controls="hdodwdstdwbottom-hdodwdstdwcommon_values" role="tab" data-toggle="tab">Common Values</a>
 </li>
 <li role="presentation" class="" style="padding-top: 5px;">
-<a href="#nxhayacfivbottom-nxhayacfivlengths" aria-controls="nxhayacfivbottom-nxhayacfivlengths" role="tab" data-toggle="tab">String Lengths</a>
+<a href="#hdodwdstdwbottom-hdodwdstdwlengths" aria-controls="hdodwdstdwbottom-hdodwdstdwlengths" role="tab" data-toggle="tab">String Lengths</a>
 </li>
 </ul>
 <div class="tab-content">
-<div role="tabpanel" class="tab-pane col-sm-12 active" id="nxhayacfivbottom-nxhayacfivcommon_values">
+<div role="tabpanel" class="tab-pane col-sm-12 active" id="hdodwdstdwbottom-hdodwdstdwcommon_values">
 <div class="col-sm-12">
 <p class="h4"></p>
-<div id="dedyhjpahh" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#dedyhjpahh table {
+<div id="dizbltvhtt" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#dizbltvhtt table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#dedyhjpahh thead, #dedyhjpahh tbody, #dedyhjpahh tfoot, #dedyhjpahh tr, #dedyhjpahh td, #dedyhjpahh th {
+#dizbltvhtt thead, #dizbltvhtt tbody, #dizbltvhtt tfoot, #dizbltvhtt tr, #dizbltvhtt td, #dizbltvhtt th {
   border-style: none;
 }
 
-#dedyhjpahh p {
+#dizbltvhtt p {
   margin: 0;
   padding: 0;
 }
 
-#dedyhjpahh .gt_table {
+#dizbltvhtt .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -36584,12 +36584,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#dedyhjpahh .gt_caption {
+#dizbltvhtt .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#dedyhjpahh .gt_title {
+#dizbltvhtt .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -36601,7 +36601,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#dedyhjpahh .gt_subtitle {
+#dizbltvhtt .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -36613,7 +36613,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#dedyhjpahh .gt_heading {
+#dizbltvhtt .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -36625,13 +36625,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#dedyhjpahh .gt_bottom_border {
+#dizbltvhtt .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#dedyhjpahh .gt_col_headings {
+#dizbltvhtt .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -36646,7 +36646,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#dedyhjpahh .gt_col_heading {
+#dizbltvhtt .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -36666,7 +36666,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#dedyhjpahh .gt_column_spanner_outer {
+#dizbltvhtt .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -36678,15 +36678,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#dedyhjpahh .gt_column_spanner_outer:first-child {
+#dizbltvhtt .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#dedyhjpahh .gt_column_spanner_outer:last-child {
+#dizbltvhtt .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#dedyhjpahh .gt_column_spanner {
+#dizbltvhtt .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -36698,11 +36698,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#dedyhjpahh .gt_spanner_row {
+#dizbltvhtt .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#dedyhjpahh .gt_group_heading {
+#dizbltvhtt .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -36728,7 +36728,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#dedyhjpahh .gt_empty_group_heading {
+#dizbltvhtt .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -36743,15 +36743,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#dedyhjpahh .gt_from_md > :first-child {
+#dizbltvhtt .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#dedyhjpahh .gt_from_md > :last-child {
+#dizbltvhtt .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#dedyhjpahh .gt_row {
+#dizbltvhtt .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -36770,7 +36770,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#dedyhjpahh .gt_stub {
+#dizbltvhtt .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -36783,7 +36783,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#dedyhjpahh .gt_stub_row_group {
+#dizbltvhtt .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -36797,15 +36797,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#dedyhjpahh .gt_row_group_first td {
+#dizbltvhtt .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#dedyhjpahh .gt_row_group_first th {
+#dizbltvhtt .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#dedyhjpahh .gt_summary_row {
+#dizbltvhtt .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -36815,16 +36815,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#dedyhjpahh .gt_first_summary_row {
+#dizbltvhtt .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#dedyhjpahh .gt_first_summary_row.thick {
+#dizbltvhtt .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#dedyhjpahh .gt_last_summary_row {
+#dizbltvhtt .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -36834,7 +36834,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#dedyhjpahh .gt_grand_summary_row {
+#dizbltvhtt .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -36844,7 +36844,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#dedyhjpahh .gt_first_grand_summary_row {
+#dizbltvhtt .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -36854,7 +36854,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#dedyhjpahh .gt_last_grand_summary_row_top {
+#dizbltvhtt .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -36864,11 +36864,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#dedyhjpahh .gt_striped {
+#dizbltvhtt .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#dedyhjpahh .gt_table_body {
+#dizbltvhtt .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -36877,7 +36877,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#dedyhjpahh .gt_footnotes {
+#dizbltvhtt .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -36891,7 +36891,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#dedyhjpahh .gt_footnote {
+#dizbltvhtt .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -36900,7 +36900,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#dedyhjpahh .gt_sourcenotes {
+#dizbltvhtt .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -36914,7 +36914,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#dedyhjpahh .gt_sourcenote {
+#dizbltvhtt .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -36922,63 +36922,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#dedyhjpahh .gt_left {
+#dizbltvhtt .gt_left {
   text-align: left;
 }
 
-#dedyhjpahh .gt_center {
+#dizbltvhtt .gt_center {
   text-align: center;
 }
 
-#dedyhjpahh .gt_right {
+#dizbltvhtt .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#dedyhjpahh .gt_font_normal {
+#dizbltvhtt .gt_font_normal {
   font-weight: normal;
 }
 
-#dedyhjpahh .gt_font_bold {
+#dizbltvhtt .gt_font_bold {
   font-weight: bold;
 }
 
-#dedyhjpahh .gt_font_italic {
+#dizbltvhtt .gt_font_italic {
   font-style: italic;
 }
 
-#dedyhjpahh .gt_super {
+#dizbltvhtt .gt_super {
   font-size: 65%;
 }
 
-#dedyhjpahh .gt_footnote_marks {
+#dizbltvhtt .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#dedyhjpahh .gt_asterisk {
+#dizbltvhtt .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#dedyhjpahh .gt_indent_1 {
+#dizbltvhtt .gt_indent_1 {
   text-indent: 5px;
 }
 
-#dedyhjpahh .gt_indent_2 {
+#dizbltvhtt .gt_indent_2 {
   text-indent: 10px;
 }
 
-#dedyhjpahh .gt_indent_3 {
+#dizbltvhtt .gt_indent_3 {
   text-indent: 15px;
 }
 
-#dedyhjpahh .gt_indent_4 {
+#dizbltvhtt .gt_indent_4 {
   text-indent: 20px;
 }
 
-#dedyhjpahh .gt_indent_5 {
+#dizbltvhtt .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -37046,26 +37046,26 @@ <h2 class="page-header">Variables</h2>
 </div>
 </div>
 </div>
-<div role="tabpanel" class="tab-pane col-sm-12" id="nxhayacfivbottom-nxhayacfivlengths">
+<div role="tabpanel" class="tab-pane col-sm-12" id="hdodwdstdwbottom-hdodwdstdwlengths">
 <div class="col-sm-4">
 <p class="h4">String Lengths</p>
-<div id="lwcfricefh" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#lwcfricefh table {
+<div id="bsvkgfgbps" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#bsvkgfgbps table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#lwcfricefh thead, #lwcfricefh tbody, #lwcfricefh tfoot, #lwcfricefh tr, #lwcfricefh td, #lwcfricefh th {
+#bsvkgfgbps thead, #bsvkgfgbps tbody, #bsvkgfgbps tfoot, #bsvkgfgbps tr, #bsvkgfgbps td, #bsvkgfgbps th {
   border-style: none;
 }
 
-#lwcfricefh p {
+#bsvkgfgbps p {
   margin: 0;
   padding: 0;
 }
 
-#lwcfricefh .gt_table {
+#bsvkgfgbps .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -37091,12 +37091,12 @@ <h2 class="page-header">Variables</h2>
   border-left-color: #D3D3D3;
 }
 
-#lwcfricefh .gt_caption {
+#bsvkgfgbps .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#lwcfricefh .gt_title {
+#bsvkgfgbps .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -37108,7 +37108,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-width: 0;
 }
 
-#lwcfricefh .gt_subtitle {
+#bsvkgfgbps .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -37120,7 +37120,7 @@ <h2 class="page-header">Variables</h2>
   border-top-width: 0;
 }
 
-#lwcfricefh .gt_heading {
+#bsvkgfgbps .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -37132,13 +37132,13 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#lwcfricefh .gt_bottom_border {
+#bsvkgfgbps .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#lwcfricefh .gt_col_headings {
+#bsvkgfgbps .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -37153,7 +37153,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#lwcfricefh .gt_col_heading {
+#bsvkgfgbps .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -37173,7 +37173,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#lwcfricefh .gt_column_spanner_outer {
+#bsvkgfgbps .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -37185,15 +37185,15 @@ <h2 class="page-header">Variables</h2>
   padding-right: 4px;
 }
 
-#lwcfricefh .gt_column_spanner_outer:first-child {
+#bsvkgfgbps .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#lwcfricefh .gt_column_spanner_outer:last-child {
+#bsvkgfgbps .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#lwcfricefh .gt_column_spanner {
+#bsvkgfgbps .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -37205,11 +37205,11 @@ <h2 class="page-header">Variables</h2>
   width: 100%;
 }
 
-#lwcfricefh .gt_spanner_row {
+#bsvkgfgbps .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#lwcfricefh .gt_group_heading {
+#bsvkgfgbps .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -37235,7 +37235,7 @@ <h2 class="page-header">Variables</h2>
   text-align: left;
 }
 
-#lwcfricefh .gt_empty_group_heading {
+#bsvkgfgbps .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -37250,15 +37250,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: middle;
 }
 
-#lwcfricefh .gt_from_md > :first-child {
+#bsvkgfgbps .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#lwcfricefh .gt_from_md > :last-child {
+#bsvkgfgbps .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#lwcfricefh .gt_row {
+#bsvkgfgbps .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -37277,7 +37277,7 @@ <h2 class="page-header">Variables</h2>
   overflow-x: hidden;
 }
 
-#lwcfricefh .gt_stub {
+#bsvkgfgbps .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -37290,7 +37290,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#lwcfricefh .gt_stub_row_group {
+#bsvkgfgbps .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -37304,15 +37304,15 @@ <h2 class="page-header">Variables</h2>
   vertical-align: top;
 }
 
-#lwcfricefh .gt_row_group_first td {
+#bsvkgfgbps .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#lwcfricefh .gt_row_group_first th {
+#bsvkgfgbps .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#lwcfricefh .gt_summary_row {
+#bsvkgfgbps .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -37322,16 +37322,16 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#lwcfricefh .gt_first_summary_row {
+#bsvkgfgbps .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#lwcfricefh .gt_first_summary_row.thick {
+#bsvkgfgbps .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#lwcfricefh .gt_last_summary_row {
+#bsvkgfgbps .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -37341,7 +37341,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#lwcfricefh .gt_grand_summary_row {
+#bsvkgfgbps .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -37351,7 +37351,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#lwcfricefh .gt_first_grand_summary_row {
+#bsvkgfgbps .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -37361,7 +37361,7 @@ <h2 class="page-header">Variables</h2>
   border-top-color: #D3D3D3;
 }
 
-#lwcfricefh .gt_last_grand_summary_row_top {
+#bsvkgfgbps .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -37371,11 +37371,11 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#lwcfricefh .gt_striped {
+#bsvkgfgbps .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#lwcfricefh .gt_table_body {
+#bsvkgfgbps .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -37384,7 +37384,7 @@ <h2 class="page-header">Variables</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#lwcfricefh .gt_footnotes {
+#bsvkgfgbps .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -37398,7 +37398,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#lwcfricefh .gt_footnote {
+#bsvkgfgbps .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -37407,7 +37407,7 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#lwcfricefh .gt_sourcenotes {
+#bsvkgfgbps .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -37421,7 +37421,7 @@ <h2 class="page-header">Variables</h2>
   border-right-color: #D3D3D3;
 }
 
-#lwcfricefh .gt_sourcenote {
+#bsvkgfgbps .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -37429,63 +37429,63 @@ <h2 class="page-header">Variables</h2>
   padding-right: 5px;
 }
 
-#lwcfricefh .gt_left {
+#bsvkgfgbps .gt_left {
   text-align: left;
 }
 
-#lwcfricefh .gt_center {
+#bsvkgfgbps .gt_center {
   text-align: center;
 }
 
-#lwcfricefh .gt_right {
+#bsvkgfgbps .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#lwcfricefh .gt_font_normal {
+#bsvkgfgbps .gt_font_normal {
   font-weight: normal;
 }
 
-#lwcfricefh .gt_font_bold {
+#bsvkgfgbps .gt_font_bold {
   font-weight: bold;
 }
 
-#lwcfricefh .gt_font_italic {
+#bsvkgfgbps .gt_font_italic {
   font-style: italic;
 }
 
-#lwcfricefh .gt_super {
+#bsvkgfgbps .gt_super {
   font-size: 65%;
 }
 
-#lwcfricefh .gt_footnote_marks {
+#bsvkgfgbps .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#lwcfricefh .gt_asterisk {
+#bsvkgfgbps .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#lwcfricefh .gt_indent_1 {
+#bsvkgfgbps .gt_indent_1 {
   text-indent: 5px;
 }
 
-#lwcfricefh .gt_indent_2 {
+#bsvkgfgbps .gt_indent_2 {
   text-indent: 10px;
 }
 
-#lwcfricefh .gt_indent_3 {
+#bsvkgfgbps .gt_indent_3 {
   text-indent: 15px;
 }
 
-#lwcfricefh .gt_indent_4 {
+#bsvkgfgbps .gt_indent_4 {
   text-indent: 20px;
 }
 
-#lwcfricefh .gt_indent_5 {
+#bsvkgfgbps .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -37524,23 +37524,23 @@ <h2 class="page-header">Sample</h2>
 <div class="section-items">
 <div class="row spacing">
 <div id="sample-container" class="col-sm-12">
-<div id="cqnssukupa" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
-<style>#cqnssukupa table {
+<div id="lhozpnjdjh" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<style>#lhozpnjdjh table {
   font-family: system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#cqnssukupa thead, #cqnssukupa tbody, #cqnssukupa tfoot, #cqnssukupa tr, #cqnssukupa td, #cqnssukupa th {
+#lhozpnjdjh thead, #lhozpnjdjh tbody, #lhozpnjdjh tfoot, #lhozpnjdjh tr, #lhozpnjdjh td, #lhozpnjdjh th {
   border-style: none;
 }
 
-#cqnssukupa p {
+#lhozpnjdjh p {
   margin: 0;
   padding: 0;
 }
 
-#cqnssukupa .gt_table {
+#lhozpnjdjh .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -37566,12 +37566,12 @@ <h2 class="page-header">Sample</h2>
   border-left-color: #D3D3D3;
 }
 
-#cqnssukupa .gt_caption {
+#lhozpnjdjh .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#cqnssukupa .gt_title {
+#lhozpnjdjh .gt_title {
   color: #333333;
   font-size: 125%;
   font-weight: initial;
@@ -37583,7 +37583,7 @@ <h2 class="page-header">Sample</h2>
   border-bottom-width: 0;
 }
 
-#cqnssukupa .gt_subtitle {
+#lhozpnjdjh .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -37595,7 +37595,7 @@ <h2 class="page-header">Sample</h2>
   border-top-width: 0;
 }
 
-#cqnssukupa .gt_heading {
+#lhozpnjdjh .gt_heading {
   background-color: #FFFFFF;
   text-align: center;
   border-bottom-color: #FFFFFF;
@@ -37607,13 +37607,13 @@ <h2 class="page-header">Sample</h2>
   border-right-color: #D3D3D3;
 }
 
-#cqnssukupa .gt_bottom_border {
+#lhozpnjdjh .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
 }
 
-#cqnssukupa .gt_col_headings {
+#lhozpnjdjh .gt_col_headings {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -37628,7 +37628,7 @@ <h2 class="page-header">Sample</h2>
   border-right-color: #D3D3D3;
 }
 
-#cqnssukupa .gt_col_heading {
+#lhozpnjdjh .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -37648,7 +37648,7 @@ <h2 class="page-header">Sample</h2>
   overflow-x: hidden;
 }
 
-#cqnssukupa .gt_column_spanner_outer {
+#lhozpnjdjh .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -37660,15 +37660,15 @@ <h2 class="page-header">Sample</h2>
   padding-right: 4px;
 }
 
-#cqnssukupa .gt_column_spanner_outer:first-child {
+#lhozpnjdjh .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#cqnssukupa .gt_column_spanner_outer:last-child {
+#lhozpnjdjh .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#cqnssukupa .gt_column_spanner {
+#lhozpnjdjh .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -37680,11 +37680,11 @@ <h2 class="page-header">Sample</h2>
   width: 100%;
 }
 
-#cqnssukupa .gt_spanner_row {
+#lhozpnjdjh .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#cqnssukupa .gt_group_heading {
+#lhozpnjdjh .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -37710,7 +37710,7 @@ <h2 class="page-header">Sample</h2>
   text-align: left;
 }
 
-#cqnssukupa .gt_empty_group_heading {
+#lhozpnjdjh .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -37725,15 +37725,15 @@ <h2 class="page-header">Sample</h2>
   vertical-align: middle;
 }
 
-#cqnssukupa .gt_from_md > :first-child {
+#lhozpnjdjh .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#cqnssukupa .gt_from_md > :last-child {
+#lhozpnjdjh .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#cqnssukupa .gt_row {
+#lhozpnjdjh .gt_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -37752,7 +37752,7 @@ <h2 class="page-header">Sample</h2>
   overflow-x: hidden;
 }
 
-#cqnssukupa .gt_stub {
+#lhozpnjdjh .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -37765,7 +37765,7 @@ <h2 class="page-header">Sample</h2>
   padding-right: 5px;
 }
 
-#cqnssukupa .gt_stub_row_group {
+#lhozpnjdjh .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -37779,15 +37779,15 @@ <h2 class="page-header">Sample</h2>
   vertical-align: top;
 }
 
-#cqnssukupa .gt_row_group_first td {
+#lhozpnjdjh .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#cqnssukupa .gt_row_group_first th {
+#lhozpnjdjh .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#cqnssukupa .gt_summary_row {
+#lhozpnjdjh .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -37797,16 +37797,16 @@ <h2 class="page-header">Sample</h2>
   padding-right: 5px;
 }
 
-#cqnssukupa .gt_first_summary_row {
+#lhozpnjdjh .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#cqnssukupa .gt_first_summary_row.thick {
+#lhozpnjdjh .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#cqnssukupa .gt_last_summary_row {
+#lhozpnjdjh .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -37816,7 +37816,7 @@ <h2 class="page-header">Sample</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#cqnssukupa .gt_grand_summary_row {
+#lhozpnjdjh .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -37826,7 +37826,7 @@ <h2 class="page-header">Sample</h2>
   padding-right: 5px;
 }
 
-#cqnssukupa .gt_first_grand_summary_row {
+#lhozpnjdjh .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -37836,7 +37836,7 @@ <h2 class="page-header">Sample</h2>
   border-top-color: #D3D3D3;
 }
 
-#cqnssukupa .gt_last_grand_summary_row_top {
+#lhozpnjdjh .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -37846,11 +37846,11 @@ <h2 class="page-header">Sample</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#cqnssukupa .gt_striped {
+#lhozpnjdjh .gt_striped {
   background-color: rgba(128, 128, 128, 0.05);
 }
 
-#cqnssukupa .gt_table_body {
+#lhozpnjdjh .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -37859,7 +37859,7 @@ <h2 class="page-header">Sample</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#cqnssukupa .gt_footnotes {
+#lhozpnjdjh .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -37873,7 +37873,7 @@ <h2 class="page-header">Sample</h2>
   border-right-color: #D3D3D3;
 }
 
-#cqnssukupa .gt_footnote {
+#lhozpnjdjh .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -37882,7 +37882,7 @@ <h2 class="page-header">Sample</h2>
   padding-right: 5px;
 }
 
-#cqnssukupa .gt_sourcenotes {
+#lhozpnjdjh .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -37896,7 +37896,7 @@ <h2 class="page-header">Sample</h2>
   border-right-color: #D3D3D3;
 }
 
-#cqnssukupa .gt_sourcenote {
+#lhozpnjdjh .gt_sourcenote {
   font-size: 90%;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -37904,63 +37904,63 @@ <h2 class="page-header">Sample</h2>
   padding-right: 5px;
 }
 
-#cqnssukupa .gt_left {
+#lhozpnjdjh .gt_left {
   text-align: left;
 }
 
-#cqnssukupa .gt_center {
+#lhozpnjdjh .gt_center {
   text-align: center;
 }
 
-#cqnssukupa .gt_right {
+#lhozpnjdjh .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#cqnssukupa .gt_font_normal {
+#lhozpnjdjh .gt_font_normal {
   font-weight: normal;
 }
 
-#cqnssukupa .gt_font_bold {
+#lhozpnjdjh .gt_font_bold {
   font-weight: bold;
 }
 
-#cqnssukupa .gt_font_italic {
+#lhozpnjdjh .gt_font_italic {
   font-style: italic;
 }
 
-#cqnssukupa .gt_super {
+#lhozpnjdjh .gt_super {
   font-size: 65%;
 }
 
-#cqnssukupa .gt_footnote_marks {
+#lhozpnjdjh .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#cqnssukupa .gt_asterisk {
+#lhozpnjdjh .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#cqnssukupa .gt_indent_1 {
+#lhozpnjdjh .gt_indent_1 {
   text-indent: 5px;
 }
 
-#cqnssukupa .gt_indent_2 {
+#lhozpnjdjh .gt_indent_2 {
   text-indent: 10px;
 }
 
-#cqnssukupa .gt_indent_3 {
+#lhozpnjdjh .gt_indent_3 {
   text-indent: 15px;
 }
 
-#cqnssukupa .gt_indent_4 {
+#lhozpnjdjh .gt_indent_4 {
   text-indent: 20px;
 }
 
-#cqnssukupa .gt_indent_5 {
+#lhozpnjdjh .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -38859,33 +38859,33 @@ <h2 class="page-header">Missing Values</h2>
 </tbody>
 <tfoot class="gt_sourcenotes"><tr>
 <td class="gt_sourcenote" colspan="1">
-<span style="background-color:#FFF;color:#444;padding:0.5em 0.5em;position:inherit;text-transform:uppercase;margin-left:10px;border:solid 1px #999999;font-variant-numeric:tabular-nums;border-radius:0;padding:2px 10px 2px 10px;padding:2px 10px 2px 10px;">2024-02-09 14:27:35 UTC</span>
+<span style="background-color:#FFF;color:#444;padding:0.5em 0.5em;position:inherit;text-transform:uppercase;margin-left:10px;border:solid 1px #999999;font-variant-numeric:tabular-nums;border-radius:0;padding:2px 10px 2px 10px;padding:2px 10px 2px 10px;">2024-02-10 07:10:06 UTC</span>
 <span style="background-color:#FFF;color:#444;padding:0.5em 0.5em;position:inherit;margin:5px 1px 5px 0;border:solid 1px #999999;font-variant-numeric:tabular-nums;border-radius:0;padding:2px 10px 2px 10px;">&lt; 1 s</span>
-<span style="background-color:#FFF;color:#444;padding:0.5em 0.5em;position:inherit;text-transform:uppercase;margin:5px 1px 5px -1px;border:solid 1px #999999;font-variant-numeric:tabular-nums;border-radius:0;padding:2px 10px 2px 10px;">2024-02-09 14:27:35 UTC</span>
+<span style="background-color:#FFF;color:#444;padding:0.5em 0.5em;position:inherit;text-transform:uppercase;margin:5px 1px 5px -1px;border:solid 1px #999999;font-variant-numeric:tabular-nums;border-radius:0;padding:2px 10px 2px 10px;">2024-02-10 07:10:06 UTC</span>
 </td>
     </tr></tfoot>
 </table>
 </div>
 <div class="sourceCode" id="cb16"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu">gtExtras</span><span class="fu">::</span><span class="fu"><a href="https://jthomasmock.github.io/gtExtras/reference/gt_plt_summary.html" class="external-link">gt_plt_summary</a></span><span class="op">(</span><span class="va">tax_tab</span><span class="op">)</span></span></code></pre></div>
-<div id="dudvkfgccq" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
+<div id="zaijpfawjm" style="padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;">
 <style>@import url("https://fonts.googleapis.com/css2?family=Lato:ital,wght@0,100;0,200;0,300;0,400;0,500;0,600;0,700;0,800;0,900;1,100;1,200;1,300;1,400;1,500;1,600;1,700;1,800;1,900&display=swap");
-#dudvkfgccq table {
+#zaijpfawjm table {
   font-family: Lato, system-ui, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
 }
 
-#dudvkfgccq thead, #dudvkfgccq tbody, #dudvkfgccq tfoot, #dudvkfgccq tr, #dudvkfgccq td, #dudvkfgccq th {
+#zaijpfawjm thead, #zaijpfawjm tbody, #zaijpfawjm tfoot, #zaijpfawjm tr, #zaijpfawjm td, #zaijpfawjm th {
   border-style: none;
 }
 
-#dudvkfgccq p {
+#zaijpfawjm p {
   margin: 0;
   padding: 0;
 }
 
-#dudvkfgccq .gt_table {
+#zaijpfawjm .gt_table {
   display: table;
   border-collapse: collapse;
   line-height: normal;
@@ -38911,12 +38911,12 @@ <h2 class="page-header">Missing Values</h2>
   border-left-color: #D3D3D3;
 }
 
-#dudvkfgccq .gt_caption {
+#zaijpfawjm .gt_caption {
   padding-top: 4px;
   padding-bottom: 4px;
 }
 
-#dudvkfgccq .gt_title {
+#zaijpfawjm .gt_title {
   color: #333333;
   font-size: 24px;
   font-weight: initial;
@@ -38928,7 +38928,7 @@ <h2 class="page-header">Missing Values</h2>
   border-bottom-width: 0;
 }
 
-#dudvkfgccq .gt_subtitle {
+#zaijpfawjm .gt_subtitle {
   color: #333333;
   font-size: 85%;
   font-weight: initial;
@@ -38940,7 +38940,7 @@ <h2 class="page-header">Missing Values</h2>
   border-top-width: 0;
 }
 
-#dudvkfgccq .gt_heading {
+#zaijpfawjm .gt_heading {
   background-color: #FFFFFF;
   text-align: left;
   border-bottom-color: #FFFFFF;
@@ -38952,13 +38952,13 @@ <h2 class="page-header">Missing Values</h2>
   border-right-color: #D3D3D3;
 }
 
-#dudvkfgccq .gt_bottom_border {
+#zaijpfawjm .gt_bottom_border {
   border-bottom-style: solid;
   border-bottom-width: 0px;
   border-bottom-color: #D3D3D3;
 }
 
-#dudvkfgccq .gt_col_headings {
+#zaijpfawjm .gt_col_headings {
   border-top-style: solid;
   border-top-width: 0px;
   border-top-color: #D3D3D3;
@@ -38973,7 +38973,7 @@ <h2 class="page-header">Missing Values</h2>
   border-right-color: #D3D3D3;
 }
 
-#dudvkfgccq .gt_col_heading {
+#zaijpfawjm .gt_col_heading {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 80%;
@@ -38993,7 +38993,7 @@ <h2 class="page-header">Missing Values</h2>
   overflow-x: hidden;
 }
 
-#dudvkfgccq .gt_column_spanner_outer {
+#zaijpfawjm .gt_column_spanner_outer {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 80%;
@@ -39005,15 +39005,15 @@ <h2 class="page-header">Missing Values</h2>
   padding-right: 4px;
 }
 
-#dudvkfgccq .gt_column_spanner_outer:first-child {
+#zaijpfawjm .gt_column_spanner_outer:first-child {
   padding-left: 0;
 }
 
-#dudvkfgccq .gt_column_spanner_outer:last-child {
+#zaijpfawjm .gt_column_spanner_outer:last-child {
   padding-right: 0;
 }
 
-#dudvkfgccq .gt_column_spanner {
+#zaijpfawjm .gt_column_spanner {
   border-bottom-style: solid;
   border-bottom-width: 2px;
   border-bottom-color: #D3D3D3;
@@ -39025,11 +39025,11 @@ <h2 class="page-header">Missing Values</h2>
   width: 100%;
 }
 
-#dudvkfgccq .gt_spanner_row {
+#zaijpfawjm .gt_spanner_row {
   border-bottom-style: hidden;
 }
 
-#dudvkfgccq .gt_group_heading {
+#zaijpfawjm .gt_group_heading {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -39055,7 +39055,7 @@ <h2 class="page-header">Missing Values</h2>
   text-align: left;
 }
 
-#dudvkfgccq .gt_empty_group_heading {
+#zaijpfawjm .gt_empty_group_heading {
   padding: 0.5px;
   color: #333333;
   background-color: #FFFFFF;
@@ -39070,15 +39070,15 @@ <h2 class="page-header">Missing Values</h2>
   vertical-align: middle;
 }
 
-#dudvkfgccq .gt_from_md > :first-child {
+#zaijpfawjm .gt_from_md > :first-child {
   margin-top: 0;
 }
 
-#dudvkfgccq .gt_from_md > :last-child {
+#zaijpfawjm .gt_from_md > :last-child {
   margin-bottom: 0;
 }
 
-#dudvkfgccq .gt_row {
+#zaijpfawjm .gt_row {
   padding-top: 7px;
   padding-bottom: 7px;
   padding-left: 5px;
@@ -39097,7 +39097,7 @@ <h2 class="page-header">Missing Values</h2>
   overflow-x: hidden;
 }
 
-#dudvkfgccq .gt_stub {
+#zaijpfawjm .gt_stub {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 80%;
@@ -39110,7 +39110,7 @@ <h2 class="page-header">Missing Values</h2>
   padding-right: 5px;
 }
 
-#dudvkfgccq .gt_stub_row_group {
+#zaijpfawjm .gt_stub_row_group {
   color: #333333;
   background-color: #FFFFFF;
   font-size: 100%;
@@ -39124,15 +39124,15 @@ <h2 class="page-header">Missing Values</h2>
   vertical-align: top;
 }
 
-#dudvkfgccq .gt_row_group_first td {
+#zaijpfawjm .gt_row_group_first td {
   border-top-width: 2px;
 }
 
-#dudvkfgccq .gt_row_group_first th {
+#zaijpfawjm .gt_row_group_first th {
   border-top-width: 2px;
 }
 
-#dudvkfgccq .gt_summary_row {
+#zaijpfawjm .gt_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -39142,16 +39142,16 @@ <h2 class="page-header">Missing Values</h2>
   padding-right: 5px;
 }
 
-#dudvkfgccq .gt_first_summary_row {
+#zaijpfawjm .gt_first_summary_row {
   border-top-style: solid;
   border-top-color: #D3D3D3;
 }
 
-#dudvkfgccq .gt_first_summary_row.thick {
+#zaijpfawjm .gt_first_summary_row.thick {
   border-top-width: 2px;
 }
 
-#dudvkfgccq .gt_last_summary_row {
+#zaijpfawjm .gt_last_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -39161,7 +39161,7 @@ <h2 class="page-header">Missing Values</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#dudvkfgccq .gt_grand_summary_row {
+#zaijpfawjm .gt_grand_summary_row {
   color: #333333;
   background-color: #FFFFFF;
   text-transform: inherit;
@@ -39171,7 +39171,7 @@ <h2 class="page-header">Missing Values</h2>
   padding-right: 5px;
 }
 
-#dudvkfgccq .gt_first_grand_summary_row {
+#zaijpfawjm .gt_first_grand_summary_row {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -39181,7 +39181,7 @@ <h2 class="page-header">Missing Values</h2>
   border-top-color: #D3D3D3;
 }
 
-#dudvkfgccq .gt_last_grand_summary_row_top {
+#zaijpfawjm .gt_last_grand_summary_row_top {
   padding-top: 8px;
   padding-bottom: 8px;
   padding-left: 5px;
@@ -39191,11 +39191,11 @@ <h2 class="page-header">Missing Values</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#dudvkfgccq .gt_striped {
+#zaijpfawjm .gt_striped {
   background-color: #FAFAFA;
 }
 
-#dudvkfgccq .gt_table_body {
+#zaijpfawjm .gt_table_body {
   border-top-style: solid;
   border-top-width: 2px;
   border-top-color: #D3D3D3;
@@ -39204,7 +39204,7 @@ <h2 class="page-header">Missing Values</h2>
   border-bottom-color: #D3D3D3;
 }
 
-#dudvkfgccq .gt_footnotes {
+#zaijpfawjm .gt_footnotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -39218,7 +39218,7 @@ <h2 class="page-header">Missing Values</h2>
   border-right-color: #D3D3D3;
 }
 
-#dudvkfgccq .gt_footnote {
+#zaijpfawjm .gt_footnote {
   margin: 0px;
   font-size: 90%;
   padding-top: 4px;
@@ -39227,7 +39227,7 @@ <h2 class="page-header">Missing Values</h2>
   padding-right: 5px;
 }
 
-#dudvkfgccq .gt_sourcenotes {
+#zaijpfawjm .gt_sourcenotes {
   color: #333333;
   background-color: #FFFFFF;
   border-bottom-style: none;
@@ -39241,7 +39241,7 @@ <h2 class="page-header">Missing Values</h2>
   border-right-color: #D3D3D3;
 }
 
-#dudvkfgccq .gt_sourcenote {
+#zaijpfawjm .gt_sourcenote {
   font-size: 12px;
   padding-top: 4px;
   padding-bottom: 4px;
@@ -39249,63 +39249,63 @@ <h2 class="page-header">Missing Values</h2>
   padding-right: 5px;
 }
 
-#dudvkfgccq .gt_left {
+#zaijpfawjm .gt_left {
   text-align: left;
 }
 
-#dudvkfgccq .gt_center {
+#zaijpfawjm .gt_center {
   text-align: center;
 }
 
-#dudvkfgccq .gt_right {
+#zaijpfawjm .gt_right {
   text-align: right;
   font-variant-numeric: tabular-nums;
 }
 
-#dudvkfgccq .gt_font_normal {
+#zaijpfawjm .gt_font_normal {
   font-weight: normal;
 }
 
-#dudvkfgccq .gt_font_bold {
+#zaijpfawjm .gt_font_bold {
   font-weight: bold;
 }
 
-#dudvkfgccq .gt_font_italic {
+#zaijpfawjm .gt_font_italic {
   font-style: italic;
 }
 
-#dudvkfgccq .gt_super {
+#zaijpfawjm .gt_super {
   font-size: 65%;
 }
 
-#dudvkfgccq .gt_footnote_marks {
+#zaijpfawjm .gt_footnote_marks {
   font-size: 75%;
   vertical-align: 0.4em;
   position: initial;
 }
 
-#dudvkfgccq .gt_asterisk {
+#zaijpfawjm .gt_asterisk {
   font-size: 100%;
   vertical-align: 0;
 }
 
-#dudvkfgccq .gt_indent_1 {
+#zaijpfawjm .gt_indent_1 {
   text-indent: 5px;
 }
 
-#dudvkfgccq .gt_indent_2 {
+#zaijpfawjm .gt_indent_2 {
   text-indent: 10px;
 }
 
-#dudvkfgccq .gt_indent_3 {
+#zaijpfawjm .gt_indent_3 {
   text-indent: 15px;
 }
 
-#dudvkfgccq .gt_indent_4 {
+#zaijpfawjm .gt_indent_4 {
   text-indent: 20px;
 }
 
-#dudvkfgccq .gt_indent_5 {
+#zaijpfawjm .gt_indent_5 {
   text-indent: 25px;
 }
 </style>
@@ -39543,7 +39543,7 @@ <h2 id="session-information">Session information<a class="anchor" aria-label="an
 <span><span class="co">#&gt; [1] stats     graphics  grDevices utils     datasets  methods   base     </span></span>
 <span><span class="co">#&gt; </span></span>
 <span><span class="co">#&gt; other attached packages:</span></span>
-<span><span class="co">#&gt; [1] MiscMetabar_0.7.4 dplyr_1.1.4       dada2_1.30.0      Rcpp_1.0.12      </span></span>
+<span><span class="co">#&gt; [1] MiscMetabar_0.7.5 dplyr_1.1.4       dada2_1.30.0      Rcpp_1.0.12      </span></span>
 <span><span class="co">#&gt; [5] ggplot2_3.4.4     phyloseq_1.46.0  </span></span>
 <span><span class="co">#&gt; </span></span>
 <span><span class="co">#&gt; loaded via a namespace (and not attached):</span></span>
@@ -39608,7 +39608,7 @@ <h2 id="session-information">Session information<a class="anchor" aria-label="an
 <span><span class="co">#&gt; [117] tibble_3.2.1                cli_3.6.2                  </span></span>
 <span><span class="co">#&gt; [119] blastula_0.3.4              RcppParallel_5.1.7         </span></span>
 <span><span class="co">#&gt; [121] systemfonts_1.0.5           munsell_0.5.0              </span></span>
-<span><span class="co">#&gt; [123] jquerylib_0.1.4             GenomeInfoDb_1.38.5        </span></span>
+<span><span class="co">#&gt; [123] jquerylib_0.1.4             GenomeInfoDb_1.38.6        </span></span>
 <span><span class="co">#&gt; [125] pointblank_0.11.4           summarytools_1.0.1         </span></span>
 <span><span class="co">#&gt; [127] png_0.1-8                   parallel_4.3.2             </span></span>
 <span><span class="co">#&gt; [129] readr_2.1.5                 pkgdown_2.0.7              </span></span>
diff --git a/articles/filter.html b/articles/filter.html
index 711024f6..bacaa748 100644
--- a/articles/filter.html
+++ b/articles/filter.html
@@ -33,7 +33,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -403,7 +403,7 @@ <h4 id="filter-taxa-using-a-known-taxa-for-control">Filter taxa using a known ta
 <span style="display: inline-block; direction: rtl; unicode-bidi: plaintext; border-radius: 4px; padding-right: 2px; background-color: cyan; width: 98.83%">1817543</span>
 </td>
 <td style="text-align:right;">
-<span style="display: inline-block; direction: rtl; unicode-bidi: plaintext; border-radius: 4px; padding-right: 2px; background-color: yellowgreen; width: 93.54%">1402</span>
+<span style="display: inline-block; direction: rtl; unicode-bidi: plaintext; border-radius: 4px; padding-right: 2px; background-color: yellowgreen; width: 93.64%">1402</span>
 </td>
 <td style="text-align:right;">
 <span style="display: inline-block; direction: rtl; unicode-bidi: plaintext; border-radius: 4px; padding-right: 2px; background-color: lightpink; width: 100.00%">185</span>
@@ -414,10 +414,10 @@ <h4 id="filter-taxa-using-a-known-taxa-for-control">Filter taxa using a known ta
 cutoff_mixt
 </td>
 <td style="text-align:right;">
-<span style="display: inline-block; direction: rtl; unicode-bidi: plaintext; border-radius: 4px; padding-right: 2px; background-color: cyan; width: 96.29%">1770850</span>
+<span style="display: inline-block; direction: rtl; unicode-bidi: plaintext; border-radius: 4px; padding-right: 2px; background-color: cyan; width: 96.07%">1766836</span>
 </td>
 <td style="text-align:right;">
-<span style="display: inline-block; direction: rtl; unicode-bidi: plaintext; border-radius: 4px; padding-right: 2px; background-color: yellowgreen; width: 49.74%">1280</span>
+<span style="display: inline-block; direction: rtl; unicode-bidi: plaintext; border-radius: 4px; padding-right: 2px; background-color: yellowgreen; width: 46.26%">1268</span>
 </td>
 <td style="text-align:right;">
 <span style="display: inline-block; direction: rtl; unicode-bidi: plaintext; border-radius: 4px; padding-right: 2px; background-color: lightpink; width: 100.00%">185</span>
@@ -431,7 +431,7 @@ <h4 id="filter-taxa-using-a-known-taxa-for-control">Filter taxa using a known ta
 <span style="display: inline-block; direction: rtl; unicode-bidi: plaintext; border-radius: 4px; padding-right: 2px; background-color: cyan; width: 98.16%">1805274</span>
 </td>
 <td style="text-align:right;">
-<span style="display: inline-block; direction: rtl; unicode-bidi: plaintext; border-radius: 4px; padding-right: 2px; background-color: yellowgreen; width: 84.92%">1378</span>
+<span style="display: inline-block; direction: rtl; unicode-bidi: plaintext; border-radius: 4px; padding-right: 2px; background-color: yellowgreen; width: 85.15%">1378</span>
 </td>
 <td style="text-align:right;">
 <span style="display: inline-block; direction: rtl; unicode-bidi: plaintext; border-radius: 4px; padding-right: 2px; background-color: lightpink; width: 100.00%">185</span>
@@ -442,10 +442,10 @@ <h4 id="filter-taxa-using-a-known-taxa-for-control">Filter taxa using a known ta
 min
 </td>
 <td style="text-align:right;">
-<span style="display: inline-block; direction: rtl; unicode-bidi: plaintext; border-radius: 4px; padding-right: 2px; background-color: cyan; width: 99.83%">1836038</span>
+<span style="display: inline-block; direction: rtl; unicode-bidi: plaintext; border-radius: 4px; padding-right: 2px; background-color: cyan; width: 99.83%">1835949</span>
 </td>
 <td style="text-align:right;">
-<span style="display: inline-block; direction: rtl; unicode-bidi: plaintext; border-radius: 4px; padding-right: 2px; background-color: yellowgreen; width: 98.92%">1417</span>
+<span style="display: inline-block; direction: rtl; unicode-bidi: plaintext; border-radius: 4px; padding-right: 2px; background-color: yellowgreen; width: 98.94%">1417</span>
 </td>
 <td style="text-align:right;">
 <span style="display: inline-block; direction: rtl; unicode-bidi: plaintext; border-radius: 4px; padding-right: 2px; background-color: lightpink; width: 100.00%">185</span>
@@ -456,10 +456,10 @@ <h4 id="filter-taxa-using-a-known-taxa-for-control">Filter taxa using a known ta
 max
 </td>
 <td style="text-align:right;">
-<span style="display: inline-block; direction: rtl; unicode-bidi: plaintext; border-radius: 4px; padding-right: 2px; background-color: cyan; width: 95.42%">1754975</span>
+<span style="display: inline-block; direction: rtl; unicode-bidi: plaintext; border-radius: 4px; padding-right: 2px; background-color: cyan; width: 95.28%">1752238</span>
 </td>
 <td style="text-align:right;">
-<span style="display: inline-block; direction: rtl; unicode-bidi: plaintext; border-radius: 4px; padding-right: 2px; background-color: yellowgreen; width: 30.00%">1225</span>
+<span style="display: inline-block; direction: rtl; unicode-bidi: plaintext; border-radius: 4px; padding-right: 2px; background-color: yellowgreen; width: 30.00%">1222</span>
 </td>
 <td style="text-align:right;">
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@@ -470,10 +470,10 @@ <h4 id="filter-taxa-using-a-known-taxa-for-control">Filter taxa using a known ta
 mean
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@@ -509,7 +509,7 @@ <h2 id="session-information">Session information<a class="anchor" aria-label="an
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 <span><span class="co">#&gt; </span></span>
 <span><span class="co">#&gt; other attached packages:</span></span>
-<span><span class="co">#&gt; [1] formattable_0.2.1 MiscMetabar_0.7.4 dplyr_1.1.4       dada2_1.30.0     </span></span>
+<span><span class="co">#&gt; [1] formattable_0.2.1 MiscMetabar_0.7.5 dplyr_1.1.4       dada2_1.30.0     </span></span>
 <span><span class="co">#&gt; [5] Rcpp_1.0.12       ggplot2_3.4.4     phyloseq_1.46.0  </span></span>
 <span><span class="co">#&gt; </span></span>
 <span><span class="co">#&gt; loaded via a namespace (and not attached):</span></span>
@@ -526,7 +526,7 @@ <h2 id="session-information">Session information<a class="anchor" aria-label="an
 <span><span class="co">#&gt;  [21] Rsamtools_2.18.0            rmarkdown_2.25             </span></span>
 <span><span class="co">#&gt;  [23] ragg_1.2.7                  purrr_1.0.2                </span></span>
 <span><span class="co">#&gt;  [25] xfun_0.41                   zlibbioc_1.48.0            </span></span>
-<span><span class="co">#&gt;  [27] cachem_1.0.8                GenomeInfoDb_1.38.5        </span></span>
+<span><span class="co">#&gt;  [27] cachem_1.0.8                GenomeInfoDb_1.38.6        </span></span>
 <span><span class="co">#&gt;  [29] jsonlite_1.8.8              biomformat_1.30.0          </span></span>
 <span><span class="co">#&gt;  [31] rhdf5filters_1.14.1         DelayedArray_0.28.0        </span></span>
 <span><span class="co">#&gt;  [33] Rhdf5lib_1.24.2             BiocParallel_1.36.0        </span></span>
diff --git a/articles/import_export_track.html b/articles/import_export_track.html
index 14916622..388e91b0 100644
--- a/articles/import_export_track.html
+++ b/articles/import_export_track.html
@@ -33,7 +33,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -187,7 +187,7 @@ <h2 id="session-information">Session information<a class="anchor" aria-label="an
 <span><span class="co">#&gt; [1] stats     graphics  grDevices utils     datasets  methods   base     </span></span>
 <span><span class="co">#&gt; </span></span>
 <span><span class="co">#&gt; other attached packages:</span></span>
-<span><span class="co">#&gt; [1] formattable_0.2.1 MiscMetabar_0.7.4 dplyr_1.1.4       dada2_1.30.0     </span></span>
+<span><span class="co">#&gt; [1] formattable_0.2.1 MiscMetabar_0.7.5 dplyr_1.1.4       dada2_1.30.0     </span></span>
 <span><span class="co">#&gt; [5] Rcpp_1.0.12       ggplot2_3.4.4     phyloseq_1.46.0  </span></span>
 <span><span class="co">#&gt; </span></span>
 <span><span class="co">#&gt; loaded via a namespace (and not attached):</span></span>
@@ -204,7 +204,7 @@ <h2 id="session-information">Session information<a class="anchor" aria-label="an
 <span><span class="co">#&gt;  [21] Rsamtools_2.18.0            rmarkdown_2.25             </span></span>
 <span><span class="co">#&gt;  [23] ragg_1.2.7                  purrr_1.0.2                </span></span>
 <span><span class="co">#&gt;  [25] xfun_0.41                   zlibbioc_1.48.0            </span></span>
-<span><span class="co">#&gt;  [27] cachem_1.0.8                GenomeInfoDb_1.38.5        </span></span>
+<span><span class="co">#&gt;  [27] cachem_1.0.8                GenomeInfoDb_1.38.6        </span></span>
 <span><span class="co">#&gt;  [29] jsonlite_1.8.8              biomformat_1.30.0          </span></span>
 <span><span class="co">#&gt;  [31] rhdf5filters_1.14.1         DelayedArray_0.28.0        </span></span>
 <span><span class="co">#&gt;  [33] Rhdf5lib_1.24.2             BiocParallel_1.36.0        </span></span>
diff --git a/articles/index.html b/articles/index.html
index 90e8602f..fdfba7b2 100644
--- a/articles/index.html
+++ b/articles/index.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/articles/states_of_fields_in_R.html b/articles/states_of_fields_in_R.html
index 2c0ad463..e9b1935c 100644
--- a/articles/states_of_fields_in_R.html
+++ b/articles/states_of_fields_in_R.html
@@ -33,7 +33,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/articles/tengeler.html b/articles/tengeler.html
index df5f378b..21b52273 100644
--- a/articles/tengeler.html
+++ b/articles/tengeler.html
@@ -33,7 +33,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
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@@ -306,8 +306,8 @@ <h2 id="beta-diversity-analysis-effect-of-patient-status-and-cohort">Beta-divers
 <span><span class="co">#&gt; </span></span>
 <span><span class="co">#&gt; vegan::adonis2(formula = .formula, data = metadata)</span></span>
 <span><span class="co">#&gt;                Df SumOfSqs      R2      F Pr(&gt;F)  </span></span>
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-<span><span class="co">#&gt; patient_status  1   0.4503 0.06698 1.8898  0.064 .</span></span>
+<span><span class="co">#&gt; cohort          2   0.7922 0.11785 1.6626  0.055 .</span></span>
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 <span><span class="co">#&gt; Residual       23   5.4799 0.81517                </span></span>
 <span><span class="co">#&gt; Total          26   6.7223 1.00000                </span></span>
 <span><span class="co">#&gt; ---</span></span>
@@ -388,7 +388,7 @@ <h2 id="session-information">Session information<a class="anchor" aria-label="an
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 <span><span class="co">#&gt; other attached packages:</span></span>
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-<span><span class="co">#&gt;  [4] MiscMetabar_0.7.4        dplyr_1.1.4              dada2_1.30.0            </span></span>
+<span><span class="co">#&gt;  [4] MiscMetabar_0.7.5        dplyr_1.1.4              dada2_1.30.0            </span></span>
 <span><span class="co">#&gt;  [7] Rcpp_1.0.12              ggplot2_3.4.4            phyloseq_1.46.0         </span></span>
 <span><span class="co">#&gt; [10] MicrobiotaProcess_1.14.0</span></span>
 <span><span class="co">#&gt; </span></span>
@@ -455,7 +455,7 @@ <h2 id="session-information">Session information<a class="anchor" aria-label="an
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diff --git a/articles/tree_visualization.html b/articles/tree_visualization.html
index 6e1202a9..67def358 100644
--- a/articles/tree_visualization.html
+++ b/articles/tree_visualization.html
@@ -33,7 +33,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -174,7 +174,7 @@ <h2 id="session-information">Session information<a class="anchor" aria-label="an
 <span><span class="co">#&gt; </span></span>
 <span><span class="co">#&gt; other attached packages:</span></span>
 <span><span class="co">#&gt;  [1] ggtree_3.10.0     treeio_1.26.0     phangorn_2.11.1   ape_5.7-1        </span></span>
-<span><span class="co">#&gt;  [5] MiscMetabar_0.7.4 dplyr_1.1.4       dada2_1.30.0      Rcpp_1.0.12      </span></span>
+<span><span class="co">#&gt;  [5] MiscMetabar_0.7.5 dplyr_1.1.4       dada2_1.30.0      Rcpp_1.0.12      </span></span>
 <span><span class="co">#&gt;  [9] ggplot2_3.4.4     phyloseq_1.46.0   tidytree_0.4.6   </span></span>
 <span><span class="co">#&gt; </span></span>
 <span><span class="co">#&gt; loaded via a namespace (and not attached):</span></span>
@@ -232,7 +232,7 @@ <h2 id="session-information">Session information<a class="anchor" aria-label="an
 <span><span class="co">#&gt; [103] ggplotify_0.1.2             cli_3.6.2                  </span></span>
 <span><span class="co">#&gt; [105] RcppParallel_5.1.7          systemfonts_1.0.5          </span></span>
 <span><span class="co">#&gt; [107] munsell_0.5.0               jquerylib_0.1.4            </span></span>
-<span><span class="co">#&gt; [109] GenomeInfoDb_1.38.5         png_0.1-8                  </span></span>
+<span><span class="co">#&gt; [109] GenomeInfoDb_1.38.6         png_0.1-8                  </span></span>
 <span><span class="co">#&gt; [111] parallel_4.3.2              pkgdown_2.0.7              </span></span>
 <span><span class="co">#&gt; [113] blob_1.2.4                  latticeExtra_0.6-30        </span></span>
 <span><span class="co">#&gt; [115] jpeg_0.1-10                 bitops_1.0-7               </span></span>
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diff --git a/authors.html b/authors.html
index 14b91971..b93cc9bd 100644
--- a/authors.html
+++ b/authors.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -85,14 +85,14 @@ <h2 id="citation">Citation</h2>
 
       <p>Taudière A (2024).
 <em>MiscMetabar: Miscellaneous Functions for Metabarcoding Analysis</em>.
-R package version 0.7.4, 
+R package version 0.7.5, 
 https://adrientaudiere.github.io/MiscMetabar/, <a href="https://github.com/adrientaudiere/MiscMetabar" class="external-link">https://github.com/adrientaudiere/MiscMetabar</a>. 
 </p>
       <pre>@Manual{,
   title = {MiscMetabar: Miscellaneous Functions for Metabarcoding Analysis},
   author = {Adrien Taudière},
   year = {2024},
-  note = {R package version 0.7.4, 
+  note = {R package version 0.7.5, 
 https://adrientaudiere.github.io/MiscMetabar/},
   url = {https://github.com/adrientaudiere/MiscMetabar},
 }</pre>
diff --git a/index.html b/index.html
index 895a38a4..e3b6a9d8 100644
--- a/index.html
+++ b/index.html
@@ -33,7 +33,7 @@
     
     <a class="navbar-brand me-2" href="index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -171,12 +171,18 @@ <h3 id="beta-diversity-analysis">Beta-diversity analysis<a class="anchor" aria-l
 <p><img src="reference/figures/README-unnamed-chunk-6-1.png" width="100%"></p>
 </div>
 <div class="section level3">
+<h3 id="note-for-non-linux-users">Note for non-linux users<a class="anchor" aria-label="anchor" href="#note-for-non-linux-users"></a>
+</h3>
+<p>Some functions may not work on windows (<em>e.g.</em> [track_wflow()], [cutadapt_remove_primers()], [krona()], [vsearch_clustering()], …). A solution is to exploit docker container, for example the using the great <a href="https://rocker-project.org/" class="external-link">rocker project</a>.</p>
+<p>MiscMetabar is developed under Linux and the vast majority of functions may works on Unix system, but its functionning is not test under iOS.</p>
+</div>
+<div class="section level3">
 <h3 id="installation-of-other-softwares-for-debian-linux-distributions">Installation of other softwares for debian Linux distributions<a class="anchor" aria-label="anchor" href="#installation-of-other-softwares-for-debian-linux-distributions"></a>
 </h3>
 <p>If you encounter any errors or have any questions about the installation of these softwares, please visit their dedicated websites.</p>
 <div class="section level4">
 <h4 id="blast">
-<a href="https://blast.ncbi.nlm.nih.gov/doc/blast-help/downloadblastdata.html#downloadblastdata" class="external-link">blast@</a><a class="anchor" aria-label="anchor" href="#blast"></a>
+<a href="https://blast.ncbi.nlm.nih.gov/doc/blast-help/downloadblastdata.html#downloadblastdata" class="external-link">blast+</a><a class="anchor" aria-label="anchor" href="#blast"></a>
 </h4>
 <div class="sourceCode" id="cb7"><pre class="sourceCode sh"><code class="sourceCode bash"><span id="cb7-1"><a href="#cb7-1" aria-hidden="true" tabindex="-1"></a><span class="fu">sudo</span> apt-get install ncbi-blast+</span></code></pre></div>
 </div>
diff --git a/news/index.html b/news/index.html
index 9224a771..da670663 100644
--- a/news/index.html
+++ b/news/index.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/pkgdown.yml b/pkgdown.yml
index d91363b2..61411f38 100644
--- a/pkgdown.yml
+++ b/pkgdown.yml
@@ -13,7 +13,7 @@ articles:
   states_of_fields_in_R: states_of_fields_in_R.html
   tengeler: tengeler.html
   tree_visualization: tree_visualization.html
-last_built: 2024-02-09T14:18Z
+last_built: 2024-02-10T07:00Z
 urls:
   reference: https://adrientaudiere.github.io/MiscMetabar/reference
   article: https://adrientaudiere.github.io/MiscMetabar/articles
diff --git a/reference/LCBD_pq.html b/reference/LCBD_pq.html
index 5dff0bd1..bd47986b 100644
--- a/reference/LCBD_pq.html
+++ b/reference/LCBD_pq.html
@@ -16,7 +16,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/MiscMetabar-deprecated.html b/reference/MiscMetabar-deprecated.html
index 6278dcfe..8dceec41 100644
--- a/reference/MiscMetabar-deprecated.html
+++ b/reference/MiscMetabar-deprecated.html
@@ -14,7 +14,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/MiscMetabar-package.html b/reference/MiscMetabar-package.html
index f4336432..d7195563 100644
--- a/reference/MiscMetabar-package.html
+++ b/reference/MiscMetabar-package.html
@@ -12,7 +12,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/SRS_curve_pq.html b/reference/SRS_curve_pq.html
index 7fb83d44..f77bf987 100644
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diff --git a/reference/Tengeler2020_pq.html b/reference/Tengeler2020_pq.html
index 153a9afb..008ed3eb 100644
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index 1fcdbe08..ac815d36 100644
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index ae2b96b3..0ebd1127 100644
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index f5b39758..4875cfc7 100644
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index 7a22b379..36d89d39 100644
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index a2b306d8..b825d0a0 100644
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diff --git a/reference/add_new_taxonomy_pq.html b/reference/add_new_taxonomy_pq.html
index 58a85e88..cc23f9d7 100644
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diff --git a/reference/adonis_pq.html b/reference/adonis_pq.html
index 12b78012..5ceaa59f 100644
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diff --git a/reference/all_object_size.html b/reference/all_object_size.html
index 94224617..8d313ff3 100644
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index 9abc1abd..96dfe7aa 100644
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diff --git a/reference/as_binary_otu_table.html b/reference/as_binary_otu_table.html
index b2a74057..37af409d 100644
--- a/reference/as_binary_otu_table.html
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diff --git a/reference/asv2otu.html b/reference/asv2otu.html
index ab8f58dc..c63ddeec 100644
--- a/reference/asv2otu.html
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@@ -259,7 +259,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>object 'temp' not found</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> ================================================================================</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> Time difference of 0.05 secs</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Time difference of 0.06 secs</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> Clusters via relatedness sorting: 100% (0% exclusively)</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> Clusters via rare 3-mers: 100% (0% exclusively)</span>
diff --git a/reference/biplot_pq.html b/reference/biplot_pq.html
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diff --git a/reference/blast_pq.html b/reference/blast_pq.html
index 6b447b3e..7e3eaea7 100644
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diff --git a/reference/blast_to_phyloseq.html b/reference/blast_to_phyloseq.html
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diff --git a/reference/build_phytree_pq.html b/reference/build_phytree_pq.html
index 0e8e8098..dcad671d 100644
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index e363f533..1bb95830 100644
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diff --git a/reference/clean_pq.html b/reference/clean_pq.html
index 9bb40d4b..433e3ac5 100644
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diff --git a/reference/compare_pairs_pq.html b/reference/compare_pairs_pq.html
index e929031d..ba5bf785 100644
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diff --git a/reference/cutadapt_remove_primers.html b/reference/cutadapt_remove_primers.html
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diff --git a/reference/data_fungi.html b/reference/data_fungi.html
index dafc0373..ed638281 100644
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     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/data_fungi_sp_known.html b/reference/data_fungi_sp_known.html
index ab4fddaa..e4b08712 100644
--- a/reference/data_fungi_sp_known.html
+++ b/reference/data_fungi_sp_known.html
@@ -12,7 +12,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/diff_fct_diff_class.html b/reference/diff_fct_diff_class.html
index ce25f446..7316d633 100644
--- a/reference/diff_fct_diff_class.html
+++ b/reference/diff_fct_diff_class.html
@@ -12,7 +12,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/dist_bycol.html b/reference/dist_bycol.html
index 6dc5f8f5..378b0d9e 100644
--- a/reference/dist_bycol.html
+++ b/reference/dist_bycol.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/dist_pos_control.html b/reference/dist_pos_control.html
index 567c0de3..ae312d77 100644
--- a/reference/dist_pos_control.html
+++ b/reference/dist_pos_control.html
@@ -24,7 +24,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/filter_asv_blast.html b/reference/filter_asv_blast.html
index b07c2062..e996b83a 100644
--- a/reference/filter_asv_blast.html
+++ b/reference/filter_asv_blast.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/filter_trim.html b/reference/filter_trim.html
index dde73a2f..3d2e1c00 100644
--- a/reference/filter_trim.html
+++ b/reference/filter_trim.html
@@ -20,7 +20,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/funguild_assign.html b/reference/funguild_assign.html
index da64d707..f72339d7 100644
--- a/reference/funguild_assign.html
+++ b/reference/funguild_assign.html
@@ -28,7 +28,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/funky_color.html b/reference/funky_color.html
index 1a6a0e1d..19b762a7 100644
--- a/reference/funky_color.html
+++ b/reference/funky_color.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/get_file_extension.html b/reference/get_file_extension.html
index e897f7a1..3e76dfc7 100644
--- a/reference/get_file_extension.html
+++ b/reference/get_file_extension.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/get_funguild_db.html b/reference/get_funguild_db.html
index 3f829824..f8655aae 100644
--- a/reference/get_funguild_db.html
+++ b/reference/get_funguild_db.html
@@ -16,7 +16,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/ggbetween_pq.html b/reference/ggbetween_pq.html
index 8d887a09..83f1ae42 100644
--- a/reference/ggbetween_pq.html
+++ b/reference/ggbetween_pq.html
@@ -22,7 +22,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/ggvenn_pq.html b/reference/ggvenn_pq.html
index 25d4fc9b..a5a31091 100644
--- a/reference/ggvenn_pq.html
+++ b/reference/ggvenn_pq.html
@@ -20,7 +20,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/graph_test_pq.html b/reference/graph_test_pq.html
index e4df7450..7d43be8d 100644
--- a/reference/graph_test_pq.html
+++ b/reference/graph_test_pq.html
@@ -14,7 +14,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/heat_tree_pq.html b/reference/heat_tree_pq.html
index 37cf3a70..90ec9910 100644
--- a/reference/heat_tree_pq.html
+++ b/reference/heat_tree_pq.html
@@ -14,7 +14,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/hill_pq.html b/reference/hill_pq.html
index cccf0fb2..8d1f8081 100644
--- a/reference/hill_pq.html
+++ b/reference/hill_pq.html
@@ -14,7 +14,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/hill_tuckey_pq.html b/reference/hill_tuckey_pq.html
index 6316f8e5..f0b37844 100644
--- a/reference/hill_tuckey_pq.html
+++ b/reference/hill_tuckey_pq.html
@@ -14,7 +14,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/iNEXT_pq.html b/reference/iNEXT_pq.html
index 1e883bd5..5942e8be 100644
--- a/reference/iNEXT_pq.html
+++ b/reference/iNEXT_pq.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/index.html b/reference/index.html
index feff2c7f..7c881cd0 100644
--- a/reference/index.html
+++ b/reference/index.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/install_pkg_needed.html b/reference/install_pkg_needed.html
index 0035a37a..f6f7614c 100644
--- a/reference/install_pkg_needed.html
+++ b/reference/install_pkg_needed.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/krona.html b/reference/krona.html
index 2a8afa3b..c5c649a4 100644
--- a/reference/krona.html
+++ b/reference/krona.html
@@ -12,7 +12,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -147,7 +147,8 @@ <h2 id="author">Author<a class="anchor" aria-label="anchor" href="#author"></a><
 
     <div class="section level2">
     <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/data.html" class="external-link">data</a></span><span class="op">(</span><span class="st">"GlobalPatterns"</span>, package <span class="op">=</span> <span class="st">"phyloseq"</span><span class="op">)</span></span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/data.html" class="external-link">data</a></span><span class="op">(</span><span class="st">"GlobalPatterns"</span>, package <span class="op">=</span> <span class="st">"phyloseq"</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="va">GA</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/phyloseq/man/subset_taxa-methods.html" class="external-link">subset_taxa</a></span><span class="op">(</span><span class="va">GlobalPatterns</span>, <span class="va">Phylum</span> <span class="op">==</span> <span class="st">"Acidobacteria"</span><span class="op">)</span></span></span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> Found more than one class "phylo" in cache; using the first, from namespace 'phyloseq'</span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> Also defined by ‘RNeXML’ ‘tidytree’</span>
@@ -157,9 +158,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-msg co"><span class="r-pr">#&gt;</span> Also defined by ‘RNeXML’ ‘tidytree’</span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> Found more than one class "phylo" in cache; using the first, from namespace 'phyloseq'</span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> Also defined by ‘RNeXML’ ‘tidytree’</span>
-<span class="r-in"><span><span class="co"># krona(GA, "Number.of.sequences.html")</span></span></span>
-<span class="r-in"><span><span class="co"># krona(GA, "Number.of.ASVs.html", nb_seq = FALSE)</span></span></span>
-<span class="r-in"><span><span class="co"># merge_krona(c("Number.of.sequences.html", "Number.of.ASVs.html"))</span></span></span>
+<span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="cn">FALSE</span><span class="op">)</span> <span class="op">{</span></span></span>
+<span class="r-in"><span> <span class="fu">krona</span><span class="op">(</span><span class="va">GA</span>, <span class="st">"Number.of.sequences.html"</span><span class="op">)</span></span></span>
+<span class="r-in"><span> <span class="fu">krona</span><span class="op">(</span><span class="va">GA</span>, <span class="st">"Number.of.ASVs.html"</span>, nb_seq <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span></span>
+<span class="r-in"><span> <span class="fu"><a href="merge_krona.html">merge_krona</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Number.of.sequences.html"</span>, <span class="st">"Number.of.ASVs.html"</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="op">}</span></span></span>
 </code></pre></div>
     </div>
   </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
diff --git a/reference/list_fastq_files.html b/reference/list_fastq_files.html
index d1e69463..a60dfd0c 100644
--- a/reference/list_fastq_files.html
+++ b/reference/list_fastq_files.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/lulu.html b/reference/lulu.html
index c77dbae4..31f3fb51 100644
--- a/reference/lulu.html
+++ b/reference/lulu.html
@@ -32,7 +32,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/lulu_pq.html b/reference/lulu_pq.html
index 23016507..6841d362 100644
--- a/reference/lulu_pq.html
+++ b/reference/lulu_pq.html
@@ -14,7 +14,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/merge_krona.html b/reference/merge_krona.html
index f01eee5e..ac925823 100644
--- a/reference/merge_krona.html
+++ b/reference/merge_krona.html
@@ -22,7 +22,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -132,10 +132,7 @@ <h2 id="author">Author<a class="anchor" aria-label="anchor" href="#author"></a><
 
     <div class="section level2">
     <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">krona_error_or_not</span> <span class="op">&lt;-</span> <span class="kw"><a href="https://rdrr.io/r/base/try.html" class="external-link">try</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/system.html" class="external-link">system</a></span><span class="op">(</span><span class="st">"ktImportText 2&gt;&amp;1"</span>, intern <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> Error in system("ktImportText 2&gt;&amp;1", intern = TRUE) : </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   error in running command</span>
-<span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/class.html" class="external-link">class</a></span><span class="op">(</span><span class="va">krona_error_or_not</span><span class="op">)</span> <span class="op">!=</span> <span class="st">"try-error"</span><span class="op">)</span> <span class="op">{</span></span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="cn">FALSE</span><span class="op">)</span> <span class="op">{</span></span></span>
 <span class="r-in"><span>  <span class="fu"><a href="https://rdrr.io/r/utils/data.html" class="external-link">data</a></span><span class="op">(</span><span class="st">"GlobalPatterns"</span>, package <span class="op">=</span> <span class="st">"phyloseq"</span><span class="op">)</span></span></span>
 <span class="r-in"><span>  <span class="va">GA</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/phyloseq/man/subset_taxa-methods.html" class="external-link">subset_taxa</a></span><span class="op">(</span><span class="va">GlobalPatterns</span>, <span class="va">Phylum</span> <span class="op">==</span> <span class="st">"Acidobacteria"</span><span class="op">)</span></span></span>
 <span class="r-in"><span>  <span class="fu"><a href="krona.html">krona</a></span><span class="op">(</span><span class="va">GA</span>, <span class="st">"Number.of.sequences.html"</span>, name <span class="op">=</span> <span class="st">"Nb_seq_GP_acidobacteria"</span><span class="op">)</span></span></span>
diff --git a/reference/merge_samples2.html b/reference/merge_samples2.html
index 84bbb197..36c289ce 100644
--- a/reference/merge_samples2.html
+++ b/reference/merge_samples2.html
@@ -30,7 +30,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/merge_taxa_vec.html b/reference/merge_taxa_vec.html
index 02f6666c..21d48dc1 100644
--- a/reference/merge_taxa_vec.html
+++ b/reference/merge_taxa_vec.html
@@ -56,7 +56,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
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diff --git a/reference/multi_biplot_pq.html b/reference/multi_biplot_pq.html
index 08776664..69f90b0e 100644
--- a/reference/multi_biplot_pq.html
+++ b/reference/multi_biplot_pq.html
@@ -14,7 +14,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
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     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/multipatt_pq.html b/reference/multipatt_pq.html
index 35a386cf..f697565d 100644
--- a/reference/multipatt_pq.html
+++ b/reference/multipatt_pq.html
@@ -14,7 +14,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
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     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/multiplot.html b/reference/multiplot.html
index 06ac37e3..e90ac062 100644
--- a/reference/multiplot.html
+++ b/reference/multiplot.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
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diff --git a/reference/multitax_bar_pq.html b/reference/multitax_bar_pq.html
index 5822c56f..c855ca86 100644
--- a/reference/multitax_bar_pq.html
+++ b/reference/multitax_bar_pq.html
@@ -16,7 +16,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
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diff --git a/reference/mumu_pq.html b/reference/mumu_pq.html
index cf407e3f..869e3157 100644
--- a/reference/mumu_pq.html
+++ b/reference/mumu_pq.html
@@ -18,7 +18,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
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diff --git a/reference/perc.html b/reference/perc.html
index e8473b37..f4ce62b0 100644
--- a/reference/perc.html
+++ b/reference/perc.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
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diff --git a/reference/phyloseq_to_edgeR.html b/reference/phyloseq_to_edgeR.html
index 5f277eee..ef4d6743 100644
--- a/reference/phyloseq_to_edgeR.html
+++ b/reference/phyloseq_to_edgeR.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
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diff --git a/reference/physeq_or_string_to_dna.html b/reference/physeq_or_string_to_dna.html
index c3dd9b4d..032803fd 100644
--- a/reference/physeq_or_string_to_dna.html
+++ b/reference/physeq_or_string_to_dna.html
@@ -16,7 +16,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
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diff --git a/reference/plot_LCBD_pq.html b/reference/plot_LCBD_pq.html
index 73fab601..246f4530 100644
--- a/reference/plot_LCBD_pq.html
+++ b/reference/plot_LCBD_pq.html
@@ -14,7 +14,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
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diff --git a/reference/plot_SCBD_pq.html b/reference/plot_SCBD_pq.html
index 445e5905..f23b4f20 100644
--- a/reference/plot_SCBD_pq.html
+++ b/reference/plot_SCBD_pq.html
@@ -14,7 +14,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
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diff --git a/reference/plot_deseq2_pq.html b/reference/plot_deseq2_pq.html
index 3be6d7f0..01c4aa0b 100644
--- a/reference/plot_deseq2_pq.html
+++ b/reference/plot_deseq2_pq.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
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diff --git a/reference/plot_edgeR_pq.html b/reference/plot_edgeR_pq.html
index aebe2f81..3687fba2 100644
--- a/reference/plot_edgeR_pq.html
+++ b/reference/plot_edgeR_pq.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/plot_guild_pq.html b/reference/plot_guild_pq.html
index 7b338cf0..1a5f933e 100644
--- a/reference/plot_guild_pq.html
+++ b/reference/plot_guild_pq.html
@@ -12,7 +12,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/plot_mt.html b/reference/plot_mt.html
index 5c1946a7..a969c9ca 100644
--- a/reference/plot_mt.html
+++ b/reference/plot_mt.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/plot_tax_pq.html b/reference/plot_tax_pq.html
index e8ebc666..533710e1 100644
--- a/reference/plot_tax_pq.html
+++ b/reference/plot_tax_pq.html
@@ -12,7 +12,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
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diff --git a/reference/plot_tsne_pq.html b/reference/plot_tsne_pq.html
index b93ed785..be57a4e4 100644
--- a/reference/plot_tsne_pq.html
+++ b/reference/plot_tsne_pq.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
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diff --git a/reference/read_pq.html b/reference/read_pq.html
index acf8f78b..4bfb40ce 100644
--- a/reference/read_pq.html
+++ b/reference/read_pq.html
@@ -12,7 +12,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
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diff --git a/reference/rename_samples.html b/reference/rename_samples.html
index fa8e98ce..f54f4b8e 100644
--- a/reference/rename_samples.html
+++ b/reference/rename_samples.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
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diff --git a/reference/rename_samples_otu_table.html b/reference/rename_samples_otu_table.html
index 873f24ab..c16a4cc5 100644
--- a/reference/rename_samples_otu_table.html
+++ b/reference/rename_samples_otu_table.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
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diff --git a/reference/reorder_taxa_pq.html b/reference/reorder_taxa_pq.html
index 9884d085..d2a7b622 100644
--- a/reference/reorder_taxa_pq.html
+++ b/reference/reorder_taxa_pq.html
@@ -14,7 +14,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/ridges_pq.html b/reference/ridges_pq.html
index dff5b005..84c4cc4f 100644
--- a/reference/ridges_pq.html
+++ b/reference/ridges_pq.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
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diff --git a/reference/rotl_pq.html b/reference/rotl_pq.html
index 8630c17c..e49ee6ee 100644
--- a/reference/rotl_pq.html
+++ b/reference/rotl_pq.html
@@ -14,7 +14,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
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diff --git a/reference/sample_data_with_new_names.html b/reference/sample_data_with_new_names.html
index 5cffbd2c..4120a5ce 100644
--- a/reference/sample_data_with_new_names.html
+++ b/reference/sample_data_with_new_names.html
@@ -12,7 +12,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
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diff --git a/reference/sankey_pq.html b/reference/sankey_pq.html
index dfe38008..36fa702e 100644
--- a/reference/sankey_pq.html
+++ b/reference/sankey_pq.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
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diff --git a/reference/save_pq.html b/reference/save_pq.html
index a362e36f..e09fcfbb 100644
--- a/reference/save_pq.html
+++ b/reference/save_pq.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
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diff --git a/reference/search_exact_seq_pq.html b/reference/search_exact_seq_pq.html
index be6e3b76..061c1542 100644
--- a/reference/search_exact_seq_pq.html
+++ b/reference/search_exact_seq_pq.html
@@ -12,7 +12,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/select_one_sample.html b/reference/select_one_sample.html
index 0d52c4cf..400ceb99 100644
--- a/reference/select_one_sample.html
+++ b/reference/select_one_sample.html
@@ -12,7 +12,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/select_taxa-methods.html b/reference/select_taxa-methods.html
index 76602bbb..be155d30 100644
--- a/reference/select_taxa-methods.html
+++ b/reference/select_taxa-methods.html
@@ -12,7 +12,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/simplify_taxo.html b/reference/simplify_taxo.html
index c4c233cb..d989fbed 100644
--- a/reference/simplify_taxo.html
+++ b/reference/simplify_taxo.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/subsample_fastq.html b/reference/subsample_fastq.html
index f0e8ae38..8e841f46 100644
--- a/reference/subsample_fastq.html
+++ b/reference/subsample_fastq.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/subset_samples_pq.html b/reference/subset_samples_pq.html
index 74c12c47..59fc5755 100644
--- a/reference/subset_samples_pq.html
+++ b/reference/subset_samples_pq.html
@@ -30,7 +30,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/subset_taxa_pq.html b/reference/subset_taxa_pq.html
index a98e58f7..d34b7139 100644
--- a/reference/subset_taxa_pq.html
+++ b/reference/subset_taxa_pq.html
@@ -16,7 +16,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/subset_taxa_tax_control.html b/reference/subset_taxa_tax_control.html
index 074c2305..644bcc7d 100644
--- a/reference/subset_taxa_tax_control.html
+++ b/reference/subset_taxa_tax_control.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/summary_plot_pq.html b/reference/summary_plot_pq.html
index 9b236869..4afe8c57 100644
--- a/reference/summary_plot_pq.html
+++ b/reference/summary_plot_pq.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/swarm_clustering.html b/reference/swarm_clustering.html
index 861e31ec..d91f866b 100644
--- a/reference/swarm_clustering.html
+++ b/reference/swarm_clustering.html
@@ -12,7 +12,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/tax_bar_pq.html b/reference/tax_bar_pq.html
index 4b217b72..e04d2935 100644
--- a/reference/tax_bar_pq.html
+++ b/reference/tax_bar_pq.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/tax_datatable.html b/reference/tax_datatable.html
index 21e70c30..833e1ec3 100644
--- a/reference/tax_datatable.html
+++ b/reference/tax_datatable.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/tbl_sum_samdata.html b/reference/tbl_sum_samdata.html
index 63c32b67..482a8ec3 100644
--- a/reference/tbl_sum_samdata.html
+++ b/reference/tbl_sum_samdata.html
@@ -14,7 +14,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/track_wkflow.html b/reference/track_wkflow.html
index 1f85251d..5757aa41 100644
--- a/reference/track_wkflow.html
+++ b/reference/track_wkflow.html
@@ -30,7 +30,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -147,7 +147,34 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
 <p>The number of sequences, clusters (e.g. OTUs, ASVs) and samples for
 each object.</p>
     </div>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
+    <div class="dont-index"><p><code><a href="track_wkflow_samples.html">track_wkflow_samples()</a></code></p></div>
+    </div>
 
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/data.html" class="external-link">data</a></span><span class="op">(</span><span class="va">enterotype</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu">track_wkflow</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="va">data_fungi</span>, <span class="va">enterotype</span><span class="op">)</span>, taxonomy_rank <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">3</span>, <span class="fl">5</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> Compute the number of sequences</span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> Start object of class: phyloseq</span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> Start object of class: phyloseq</span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> Compute the number of clusters</span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> Start object of class: phyloseq</span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> Start object of class: phyloseq</span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> Compute the number of samples</span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> Start object of class: phyloseq</span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> Start object of class: phyloseq</span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> Compute the number of values in taxonomic rank</span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> Start object of class: phyloseq</span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> Start object of class: phyloseq</span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> Start object of class: phyloseq</span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> Start object of class: phyloseq</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   nb_sequences nb_clusters nb_samples Class Family</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1 1839124.0000        1420        185    25    163</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2     279.9807         553        280     1      1</span>
+</code></pre></div>
+    </div>
   </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
     </nav></aside></div>
 
diff --git a/reference/track_wkflow_samples.html b/reference/track_wkflow_samples.html
index dccf3dbf..d6cc14bf 100644
--- a/reference/track_wkflow_samples.html
+++ b/reference/track_wkflow_samples.html
@@ -16,7 +16,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -114,8 +114,7 @@ <h2 id="author">Author<a class="anchor" aria-label="anchor" href="#author"></a><
 
     <div class="section level2">
     <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span></span></span>
-<span class="r-in"><span><span class="va">tree_A10_005</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/phyloseq/man/subset_samples-methods.html" class="external-link">subset_samples</a></span><span class="op">(</span><span class="va">data_fungi</span>, <span class="va">Tree_name</span> <span class="op">==</span> <span class="st">"A10-005"</span><span class="op">)</span></span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">tree_A10_005</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/phyloseq/man/subset_samples-methods.html" class="external-link">subset_samples</a></span><span class="op">(</span><span class="va">data_fungi</span>, <span class="va">Tree_name</span> <span class="op">==</span> <span class="st">"A10-005"</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="fu">track_wkflow_samples</span><span class="op">(</span><span class="va">tree_A10_005</span><span class="op">)</span></span></span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> You select 1 of 3 samples and conserved 67 out of 1420 taxa represented by 13314 sequences (out of 56868 sequences [23%])</span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> Compute the number of sequences</span>
diff --git a/reference/treemap_pq.html b/reference/treemap_pq.html
index 8a382b13..7d7a51c9 100644
--- a/reference/treemap_pq.html
+++ b/reference/treemap_pq.html
@@ -12,7 +12,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/tsne_pq.html b/reference/tsne_pq.html
index 38c1c65b..46cc7587 100644
--- a/reference/tsne_pq.html
+++ b/reference/tsne_pq.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/unique_or_na.html b/reference/unique_or_na.html
index 6084b800..d2627acd 100644
--- a/reference/unique_or_na.html
+++ b/reference/unique_or_na.html
@@ -16,7 +16,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/upset_pq.html b/reference/upset_pq.html
index aca21b13..8e701dd5 100644
--- a/reference/upset_pq.html
+++ b/reference/upset_pq.html
@@ -12,7 +12,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/upset_test_pq.html b/reference/upset_test_pq.html
index 8d4f54d6..b2eb0f3c 100644
--- a/reference/upset_test_pq.html
+++ b/reference/upset_test_pq.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/venn_pq.html b/reference/venn_pq.html
index 6c52873d..f0c2a0d1 100644
--- a/reference/venn_pq.html
+++ b/reference/venn_pq.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/verify_pq.html b/reference/verify_pq.html
index 3e62d75c..6d039ed9 100644
--- a/reference/verify_pq.html
+++ b/reference/verify_pq.html
@@ -12,7 +12,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/vs_search_global.html b/reference/vs_search_global.html
index 96dcba0e..e7030bff 100644
--- a/reference/vs_search_global.html
+++ b/reference/vs_search_global.html
@@ -12,7 +12,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/vsearch_clustering.html b/reference/vsearch_clustering.html
index c809caba..438f3232 100644
--- a/reference/vsearch_clustering.html
+++ b/reference/vsearch_clustering.html
@@ -12,7 +12,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/reference/write_pq.html b/reference/write_pq.html
index 7f205c08..9fb483a1 100644
--- a/reference/write_pq.html
+++ b/reference/write_pq.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">MiscMetabar</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.7.5</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -204,10 +204,10 @@ <h2 id="author">Author<a class="anchor" aria-label="anchor" href="#author"></a><
 
     <div class="section level2">
     <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span></span></span>
-<span class="r-in"><span><span class="co"># write_pq(data_fungi, path = "phyloseq")</span></span></span>
-<span class="r-in"><span><span class="co"># write_pq(data_fungi, path = "phyloseq", one_file = TRUE)</span></span></span>
-<span class="r-in"></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="cn">FALSE</span><span class="op">)</span> <span class="op">{</span></span></span>
+<span class="r-in"><span>  <span class="fu">write_pq</span><span class="op">(</span><span class="va">data_fungi</span>, path <span class="op">=</span> <span class="st">"phyloseq"</span><span class="op">)</span></span></span>
+<span class="r-in"><span>  <span class="fu">write_pq</span><span class="op">(</span><span class="va">data_fungi</span>, path <span class="op">=</span> <span class="st">"phyloseq"</span>, one_file <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="op">}</span></span></span>
 </code></pre></div>
     </div>
   </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
diff --git a/search.json b/search.json
index 66c41433..eaf1951e 100644
--- a/search.json
+++ b/search.json
@@ -1 +1 @@
-[{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/CODE_OF_CONDUCT.html","id":"our-pledge","dir":"","previous_headings":"","what":"Our Pledge","title":"Contributor Covenant Code of Conduct","text":"members, contributors, leaders pledge make participation community harassment-free experience everyone, regardless age, body size, visible invisible disability, ethnicity, sex characteristics, gender identity expression, level experience, education, socio-economic status, nationality, personal appearance, race, religion, sexual identity orientation. pledge act interact ways contribute open, welcoming, diverse, inclusive, healthy community.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CODE_OF_CONDUCT.html","id":"our-standards","dir":"","previous_headings":"","what":"Our Standards","title":"Contributor Covenant Code of Conduct","text":"Examples behavior contributes positive environment community include: Demonstrating empathy kindness toward people respectful differing opinions, viewpoints, experiences Giving gracefully accepting constructive feedback Accepting responsibility apologizing affected mistakes, learning experience Focusing best just us individuals, overall community Examples unacceptable behavior include: use sexualized language imagery, sexual attention advances kind Trolling, insulting derogatory comments, personal political attacks Public private harassment Publishing others’ private information, physical email address, without explicit permission conduct reasonably considered inappropriate professional setting","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CODE_OF_CONDUCT.html","id":"enforcement-responsibilities","dir":"","previous_headings":"","what":"Enforcement Responsibilities","title":"Contributor Covenant Code of Conduct","text":"Community leaders responsible clarifying enforcing standards acceptable behavior take appropriate fair corrective action response behavior deem inappropriate, threatening, offensive, harmful. Community leaders right responsibility remove, edit, reject comments, commits, code, wiki edits, issues, contributions aligned Code Conduct, communicate reasons moderation decisions appropriate.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CODE_OF_CONDUCT.html","id":"scope","dir":"","previous_headings":"","what":"Scope","title":"Contributor Covenant Code of Conduct","text":"Code Conduct applies within community spaces, also applies individual officially representing community public spaces. Examples representing community include using official e-mail address, posting via official social media account, acting appointed representative online offline event.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CODE_OF_CONDUCT.html","id":"enforcement","dir":"","previous_headings":"","what":"Enforcement","title":"Contributor Covenant Code of Conduct","text":"Instances abusive, harassing, otherwise unacceptable behavior may reported community leaders responsible enforcement adrientaudiere@tutanota.com. complaints reviewed investigated promptly fairly. community leaders obligated respect privacy security reporter incident.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CODE_OF_CONDUCT.html","id":"enforcement-guidelines","dir":"","previous_headings":"","what":"Enforcement Guidelines","title":"Contributor Covenant Code of Conduct","text":"Community leaders follow Community Impact Guidelines determining consequences action deem violation Code Conduct:","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CODE_OF_CONDUCT.html","id":"id_1-correction","dir":"","previous_headings":"Enforcement Guidelines","what":"1. Correction","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Use inappropriate language behavior deemed unprofessional unwelcome community. Consequence: private, written warning community leaders, providing clarity around nature violation explanation behavior inappropriate. public apology may requested.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CODE_OF_CONDUCT.html","id":"id_2-warning","dir":"","previous_headings":"Enforcement Guidelines","what":"2. Warning","title":"Contributor Covenant Code of Conduct","text":"Community Impact: violation single incident series actions. Consequence: warning consequences continued behavior. interaction people involved, including unsolicited interaction enforcing Code Conduct, specified period time. includes avoiding interactions community spaces well external channels like social media. Violating terms may lead temporary permanent ban.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CODE_OF_CONDUCT.html","id":"id_3-temporary-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"3. Temporary Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: serious violation community standards, including sustained inappropriate behavior. Consequence: temporary ban sort interaction public communication community specified period time. public private interaction people involved, including unsolicited interaction enforcing Code Conduct, allowed period. Violating terms may lead permanent ban.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CODE_OF_CONDUCT.html","id":"id_4-permanent-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"4. Permanent Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Demonstrating pattern violation community standards, including sustained inappropriate behavior, harassment individual, aggression toward disparagement classes individuals. Consequence: permanent ban sort public interaction within community.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CODE_OF_CONDUCT.html","id":"attribution","dir":"","previous_headings":"","what":"Attribution","title":"Contributor Covenant Code of Conduct","text":"Code Conduct adapted Contributor Covenant, version 2.0, available https://www.contributor-covenant.org/version/2/0/code_of_conduct.html. Community Impact Guidelines inspired Mozilla’s code conduct enforcement ladder. answers common questions code conduct, see FAQ https://www.contributor-covenant.org/faq. Translations available https://www.contributor-covenant.org/translations.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CONTRIBUTING.html","id":null,"dir":"","previous_headings":"","what":"Contributing to MiscMetabar","title":"Contributing to MiscMetabar","text":"First , thanks taking time contribute MiscMetabar! contributing guide heavily based contributing guide rcompendium. types contributions encouraged valued. See Table contents different ways help details project handles . Please make sure read relevant section making contribution. make lot easier us maintainers smooth experience involved.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CONTRIBUTING.html","id":"table-of-contents","dir":"","previous_headings":"","what":"Table of contents","title":"Contributing to MiscMetabar","text":"Code conduct Style guide Commit messages Asking questions Reporting bugs Requesting features Contributing code","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CONTRIBUTING.html","id":"code-of-conduct","dir":"","previous_headings":"","what":"Code of conduct","title":"Contributing to MiscMetabar","text":"project released Contributor Code Conduct. participating, expected uphold code. Please report unacceptable behavior adrien.taudiere@zaclys.net.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CONTRIBUTING.html","id":"style-guide","dir":"","previous_headings":"","what":"Style guide","title":"Contributing to MiscMetabar","text":"use Tidyverse style guide writing R code. Functions documented roxygen2 syntax. MiscMetabar uses lower_snake_case except want integrate names packages.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CONTRIBUTING.html","id":"commit-messages","dir":"","previous_headings":"","what":"Commit messages","title":"Contributing to MiscMetabar","text":"want contribute commiting changes, please try use (least ) Conventional commits specification.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CONTRIBUTING.html","id":"asking-questions","dir":"","previous_headings":"","what":"Asking questions","title":"Contributing to MiscMetabar","text":"ask question, best search existing Issues might help . case found suitable issue still need clarification, can write question issue. still feel need ask question need clarification, recommend following: Open new Issue. Use template other_issue.md. Provide much context can ’re running . Provide project platform versions (paste output sessionInfo()). take care issue soon possible.","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/CONTRIBUTING.html","id":"before-submitting-a-bug-report","dir":"","previous_headings":"Reporting bugs","what":"Before submitting a bug report","title":"Contributing to MiscMetabar","text":"good bug report shouldn’t leave others needing chase information. Therefore, ask investigate carefully, collect information describe issue detail report. Please complete following steps advance help us fix potential bug fast possible. Make sure using latest version MiscMetabar. Determine bug really bug error side. see users experienced (potentially already solved) issue , check already bug report existing bug error bug tracker.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CONTRIBUTING.html","id":"how-do-i-submit-a-bug-report","dir":"","previous_headings":"Reporting bugs","what":"How do I submit a bug report?","title":"Contributing to MiscMetabar","text":"use GitHub Issues track bugs errors. run issue project: Open new Issue. Use template bug_report.md. Explain behavior expect actual behavior. Please provide much context possible describe reproduction steps someone else can follow recreate issue . usually includes code reproducible example. take care issue soon possible.","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/CONTRIBUTING.html","id":"before-requesting-a-feature","dir":"","previous_headings":"Requesting features","what":"Before requesting a feature","title":"Contributing to MiscMetabar","text":"Make sure using latest version MiscMetabar. Read documentationcarefully find functionality already covered. Perform search see enhancement already suggested. , add comment existing issue instead opening new one.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CONTRIBUTING.html","id":"how-do-i-submit-a-feature-request","dir":"","previous_headings":"Requesting features","what":"How do I submit a feature request?","title":"Contributing to MiscMetabar","text":"Feature requests tracked GitHub Issues. Open new Issue. Use template feature_request.md. Provide clear descriptive title issue identify suggestion. Provide step--step description suggested enhancement many details possible. Explain enhancement useful MiscMetabar users. take care issue soon possible.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CONTRIBUTING.html","id":"contributing-code","dir":"","previous_headings":"","what":"Contributing code","title":"Contributing to MiscMetabar","text":"add rules package development pkgdown site . short : Always indicate required params (required) Indicate default values () set values possible (e.g “bray” parameter method [vegan::vegdist()]) (ii) value well thought good default value users (e.g. number permutation processors, level identity cluster 97%). Indicate type logical integer params. Homogenize params names across function. Prefer ASVs OTUs denomination, even thought almost interchangeable MiscMetabar package. #### Lifecycle Experimental: First status function Maturing: tests /analyses make stronger functions Stable: Good level confidence","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CONTRIBUTING.html","id":"general-workflow","dir":"","previous_headings":"Contributing code","what":"General workflow","title":"Contributing to MiscMetabar","text":"use GitHub flow collaborate project: Fork repository using GitHub interface. Clone fork using git clone fork-url (replace fork-url URL fork). Alternatively, open RStudio IDE create New Project Version Control. Create new branch w/ git checkout -b branch-name (replace branch-name name new branch). Make contribution (see examples). Stage (git add) commit (git commit) changes often necessary Push changes GitHub w/ git push origin branch-name. Submit Pull Request original repo. review PR soon possible.","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/CONTRIBUTING.html","id":"editing-the-readme","dir":"","previous_headings":"Contributing code > Improve documentation","what":"Editing the README","title":"Contributing to MiscMetabar","text":"want contribute improving README, please edit README.Rmd (README.md). forget update README.md running:","code":"rmarkdown::render(\"README.Rmd\")"},{"path":"https://adrientaudiere.github.io/MiscMetabar/CONTRIBUTING.html","id":"editing-vignettes","dir":"","previous_headings":"Contributing code > Improve documentation","what":"Editing vignettes","title":"Contributing to MiscMetabar","text":"want contribute editing existing vignette, just edit corresponding Rmd file stored vignettes/ folder. want contribute adding new vignette, create new Rmd file vignettes/ folder add following header: use new external dependency, forget add DESCRIPTION file section Suggests (package already listed section Imports). Check integrity package :","code":"--- title: \"Vignette Title\" output: rmarkdown::html_vignette vignette: >   %\\VignetteIndexEntry{Vignette Title}   %\\VignetteEngine{knitr::rmarkdown}   %\\VignetteEncoding{UTF-8} --- devtools::check()"},{"path":"https://adrientaudiere.github.io/MiscMetabar/CONTRIBUTING.html","id":"editing-function-documentation","dir":"","previous_headings":"Contributing code > Improve documentation","what":"Editing function documentation","title":"Contributing to MiscMetabar","text":"want contribute improving documentation function, open corresponding file R/ folder edit lines starting #' (roxygen2 syntax). Update documentation (Rd files man/ folder) running: use new external dependency example section, forget add DESCRIPTION file section Imports (package already listed). Check integrity package :","code":"devtools::document() devtools::check()"},{"path":"https://adrientaudiere.github.io/MiscMetabar/CONTRIBUTING.html","id":"fix-bug","dir":"","previous_headings":"Contributing code","what":"Fix bug","title":"Contributing to MiscMetabar","text":"want contribute improving code function, open edit corresponding file R/ folder. Check integrity package : forget adapt unit tests function editing corresponding file stored tests/testthat/ folder. use package testthat implement unit tests. Check tests running: Warning, test time-consuming. Feel free improve speed tests!","code":"devtools::check() devtools::test()"},{"path":"https://adrientaudiere.github.io/MiscMetabar/CONTRIBUTING.html","id":"new-feature","dir":"","previous_headings":"Contributing code","what":"New feature","title":"Contributing to MiscMetabar","text":"want contribute submitting new feature, please follow workflow: Create new R file folder R/. Implement code function. Document function w/ roxygen2 syntax. necessary, add additional dependencies DESCRIPTION file. Update package documentation w/ devtools::document(). Create new R file folder tests/testthat/. Implement unit tests new function. Check integrity package w/ devtools::check(). Thanks contribution!","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/MiscMetabar.html","id":"raison-dêtre","dir":"Articles","previous_headings":"Introduction to MiscMetabar: an R package to facilitate visualization and reproducibility in metabarcoding analysis","what":"Raison d’être","title":"Introduction","text":"Complete R packages dada2 phyloseq Useful visualizations (biplot_pq, circle_pq, upset_pq, ggvenn_pq) Facilitate use targets package","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/MiscMetabar.html","id":"quick-overview","dir":"Articles","previous_headings":"Introduction to MiscMetabar: an R package to facilitate visualization and reproducibility in metabarcoding analysis","what":"Quick overview","title":"Introduction","text":"introduction metabarcoding R, Please visite state field vignettes. import, export track vignette explains import export phyloseq object. also show summarize useful information (number sequences, samples clusters) accross bioinformatic pipelines. interested ecological metrics, see vignettes describing alpha-diversity beta-diversity analysis. vignette filter taxa samples describes data-filtering processes using MiscMetabar reclustering tutorial introduces different way clustering already-clustered OTU/ASV. vignette tengeler explore dataset Tengeler et al. (2020) using MiscMetabar functions. developers, also wrote vignette describing som rules codes.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/MiscMetabar.html","id":"summarize-a-physeq-object","dir":"Articles","previous_headings":"Introduction to MiscMetabar: an R package to facilitate visualization and reproducibility in metabarcoding analysis > Quick overview","what":"Summarize a physeq object","title":"Introduction","text":"","code":"library(\"MiscMetabar\") #> Warning: replacing previous import 'S4Arrays::makeNindexFromArrayViewport' by #> 'DelayedArray::makeNindexFromArrayViewport' when loading 'SummarizedExperiment' library(\"phyloseq\") library(\"magrittr\") data(\"data_fungi\") summary_plot_pq(data_fungi)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/MiscMetabar.html","id":"create-an-interactive-table-of-the-tax_table","dir":"Articles","previous_headings":"Introduction to MiscMetabar: an R package to facilitate visualization and reproducibility in metabarcoding analysis > Quick overview","what":"Create an interactive table of the tax_table","title":"Introduction","text":"","code":"data(\"GlobalPatterns\", package = \"phyloseq\") tax_datatable(subset_taxa(   GlobalPatterns,   rowSums(GlobalPatterns@otu_table) > 100000 ))"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/MiscMetabar.html","id":"sankey-diagram-of-the-tax_table","dir":"Articles","previous_headings":"Introduction to MiscMetabar: an R package to facilitate visualization and reproducibility in metabarcoding analysis > Quick overview","what":"Sankey diagram of the tax_table","title":"Introduction","text":"","code":"gp <- subset_taxa(GlobalPatterns, GlobalPatterns@tax_table[, 1] == \"Archaea\") sankey_pq(gp, taxa = c(1:5))"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/MiscMetabar.html","id":"circle-for-visualize-distribution-of-taxa-in-function-of-samples-variables","dir":"Articles","previous_headings":"Introduction to MiscMetabar: an R package to facilitate visualization and reproducibility in metabarcoding analysis > Quick overview","what":"Circle for visualize distribution of taxa in function of samples variables","title":"Introduction","text":"","code":"circle_pq(gp, \"SampleType\", taxa = \"Class\")"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/MiscMetabar.html","id":"references","dir":"Articles","previous_headings":"","what":"References","title":"Introduction","text":"Tengeler, .C., Dam, S.., Wiesmann, M. et al. Gut microbiota persons attention-deficit/hyperactivity disorder affects brain mice. Microbiome 8, 44 (2020). https://doi.org/10.1186/s40168-020-00816-x","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/MiscMetabar.html","id":"session-inform","dir":"Articles","previous_headings":"","what":"Session inform","title":"Introduction","text":"","code":"sessionInfo() #> R version 4.3.2 (2023-10-31) #> Platform: x86_64-pc-linux-gnu (64-bit) #> Running under: Ubuntu 22.04.3 LTS #>  #> Matrix products: default #> BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3  #> LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so;  LAPACK version 3.10.0 #>  #> locale: #>  [1] LC_CTYPE=C.UTF-8       LC_NUMERIC=C           LC_TIME=C.UTF-8        #>  [4] LC_COLLATE=C.UTF-8     LC_MONETARY=C.UTF-8    LC_MESSAGES=C.UTF-8    #>  [7] LC_PAPER=C.UTF-8       LC_NAME=C              LC_ADDRESS=C           #> [10] LC_TELEPHONE=C         LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C    #>  #> time zone: UTC #> tzcode source: system (glibc) #>  #> attached base packages: #> [1] stats     graphics  grDevices utils     datasets  methods   base      #>  #> other attached packages: #> [1] magrittr_2.0.3    MiscMetabar_0.7.4 dplyr_1.1.4       dada2_1.30.0      #> [5] Rcpp_1.0.12       ggplot2_3.4.4     phyloseq_1.46.0   #>  #> loaded via a namespace (and not attached): #>   [1] bitops_1.0-7                pbapply_1.7-2               #>   [3] deldir_2.0-2                permute_0.9-7               #>   [5] rlang_1.1.3                 ade4_1.7-22                 #>   [7] matrixStats_1.2.0           compiler_4.3.2              #>   [9] mgcv_1.9-0                  png_0.1-8                   #>  [11] systemfonts_1.0.5           vctrs_0.6.5                 #>  [13] reshape2_1.4.4              stringr_1.5.1               #>  [15] shape_1.4.6                 pkgconfig_2.0.3             #>  [17] crayon_1.5.2                fastmap_1.1.1               #>  [19] ellipsis_0.3.2              XVector_0.42.0              #>  [21] labeling_0.4.3              utf8_1.2.4                  #>  [23] Rsamtools_2.18.0            rmarkdown_2.25              #>  [25] ragg_1.2.7                  purrr_1.0.2                 #>  [27] xfun_0.41                   zlibbioc_1.48.0             #>  [29] cachem_1.0.8                GenomeInfoDb_1.38.5         #>  [31] jsonlite_1.8.8              biomformat_1.30.0           #>  [33] highr_0.10                  rhdf5filters_1.14.1         #>  [35] DelayedArray_0.28.0         Rhdf5lib_1.24.2             #>  [37] BiocParallel_1.36.0         jpeg_0.1-10                 #>  [39] parallel_4.3.2              cluster_2.1.4               #>  [41] R6_2.5.1                    bslib_0.6.1                 #>  [43] stringi_1.8.3               RColorBrewer_1.1-3          #>  [45] GenomicRanges_1.54.1        jquerylib_0.1.4             #>  [47] SummarizedExperiment_1.32.0 iterators_1.0.14            #>  [49] knitr_1.45                  IRanges_2.36.0              #>  [51] Matrix_1.6-1.1              splines_4.3.2               #>  [53] igraph_2.0.1.1              tidyselect_1.2.0            #>  [55] abind_1.4-5                 yaml_2.3.8                  #>  [57] vegan_2.6-4                 codetools_0.2-19            #>  [59] hwriter_1.3.2.1             lattice_0.21-9              #>  [61] tibble_3.2.1                plyr_1.8.9                  #>  [63] Biobase_2.62.0              withr_3.0.0                 #>  [65] ShortRead_1.60.0            evaluate_0.23               #>  [67] desc_1.4.3                  survival_3.5-7              #>  [69] RcppParallel_5.1.7          circlize_0.4.15             #>  [71] Biostrings_2.70.2           pillar_1.9.0                #>  [73] MatrixGenerics_1.14.0       DT_0.31                     #>  [75] foreach_1.5.2               stats4_4.3.2                #>  [77] generics_0.1.3              RCurl_1.98-1.14             #>  [79] S4Vectors_0.40.2            munsell_0.5.0               #>  [81] scales_1.3.0                glue_1.7.0                  #>  [83] tools_4.3.2                 interp_1.1-6                #>  [85] data.table_1.15.0           GenomicAlignments_1.38.2    #>  [87] fs_1.6.3                    rhdf5_2.46.1                #>  [89] grid_4.3.2                  ape_5.7-1                   #>  [91] crosstalk_1.2.1             latticeExtra_0.6-30         #>  [93] colorspace_2.1-0            networkD3_0.4               #>  [95] nlme_3.1-163                GenomeInfoDbData_1.2.11     #>  [97] cli_3.6.2                   textshaping_0.3.7           #>  [99] fansi_1.0.6                 S4Arrays_1.2.0              #> [101] gtable_0.3.4                sass_0.4.8                  #> [103] digest_0.6.34               BiocGenerics_0.48.1         #> [105] SparseArray_1.2.3           htmlwidgets_1.6.4           #> [107] farver_2.1.1                memoise_2.0.1               #> [109] htmltools_0.5.7             pkgdown_2.0.7               #> [111] multtest_2.58.0             lifecycle_1.0.4             #> [113] GlobalOptions_0.1.2         MASS_7.3-60"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/Reclustering.html","id":"re-clustering-asvs","dir":"Articles","previous_headings":"","what":"Re-clustering ASVs","title":"Reclustering","text":"ASV (stands Amplicon Sequence Variant; also called ESV Exact Amplicon Variant) DNA sequence obtained high-throughput analysis marker genes. OTU group closely related individuals created clustering sequences based threshold similarity. ASV special case OTU similarity threshold 100%. third concept zero-radius OTU zOTU (Edgar 2016) concept ASV compute softwares dada (e.g. vsearch). choice ASV OTU important lead different results (Joos et al. (2020), Box 2 Tedersoo et al. (2022), Chiarello et al. (2022)). articles recommend making choice depending question. example, ASV may better OTU describing group closely related species. addition, ASV comparable across different datasets (obtained using identical marker genes). hand, (Tedersoo et al. 2022) report ASV approaches overestimate richness common fungal species (due haplotype variation), underestimate richness rare species. therefore recommend use OTUs metabarcoding analyses fungal communities. Finally, (Kauserud 2023) argues ASV term falls within original OTU term recommends adopting OTU terms, concise clear report OTUs generated. Recent articles (Forster et al. 2019; Antich et al. 2021) propose use approach together. recommend () using ASV denoise dataset (ii) questions, clustering ASV sequences OTUs. goal function asv2otu(), using either DECIPHER::Clusterize function R vsearch software.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/Reclustering.html","id":"using-decipher-or-vsearch-algorithm","dir":"Articles","previous_headings":"Re-clustering ASVs","what":"Using decipher or Vsearch algorithm","title":"Reclustering","text":"vsearch method requires installation Vsearch.","code":"data(data_fungi_sp_known) otu <- asv2otu(data_fungi_sp_known, method = \"clusterize\") #> Partitioning sequences by 5-mer similarity: #> ================================================================================ #> Time difference of 0.16 secs #>  #> Sorting by relatedness within 1 group: #>  iteration 106 of up to 325 (100.0% stability)  #>  #> Time difference of 4.02 secs #>  #> Clustering sequences by 8-mer similarity: #> ================================================================================ #>  #> Time difference of 0.87 secs #>  #> Clusters via relatedness sorting: 100% (0% exclusively) #> Clusters via rare 5-mers: 100% (0% exclusively) #> Estimated clustering effectiveness: 100% otu_vs <- asv2otu(data_fungi_sp_known, method = \"vsearch\") summary_plot_pq(data_fungi_sp_known) summary_plot_pq(otu)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/Reclustering.html","id":"using-lulu-algorithm-link-to-lulu-article","dir":"Articles","previous_headings":"Re-clustering ASVs","what":"Using lulu algorithm (link to LULU article)","title":"Reclustering","text":"Another post-clustering transformation method implemented lulu_pq(), uses Frøslev et al. (2017)’s method curation DNA amplicon data. aim clean non-biological information make explicitly less clusters.","code":"data(data_fungi_sp_known) lulu_res <- lulu_pq(data_fungi_sp_known) summary_plot_pq(data_fungi_sp_known) summary_plot_pq(lulu_res$new_physeq)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/Reclustering.html","id":"tracking-number-of-samples-sequences-and-clusters","dir":"Articles","previous_headings":"Re-clustering ASVs","what":"Tracking number of samples, sequences and clusters","title":"Reclustering","text":"","code":"track_wkflow(list(   \"Raw data\" = data_fungi_sp_known,   \"OTU\" = otu,   \"OTU_vsearch\" = otu_vs,   \"LULU\" = lulu_res[[1]] )) #>             nb_sequences nb_clusters nb_samples #> Raw data         1106581         651        185 #> OTU              1106581         360        185 #> OTU_vsearch      1106581         362        185 #> LULU             1106581         549        185"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/Reclustering.html","id":"session-information","dir":"Articles","previous_headings":"","what":"Session information","title":"Reclustering","text":"","code":"sessionInfo() #> R version 4.3.2 (2023-10-31) #> Platform: x86_64-pc-linux-gnu (64-bit) #> Running under: Ubuntu 22.04.3 LTS #>  #> Matrix products: default #> BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3  #> LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so;  LAPACK version 3.10.0 #>  #> locale: #>  [1] LC_CTYPE=C.UTF-8       LC_NUMERIC=C           LC_TIME=C.UTF-8        #>  [4] LC_COLLATE=C.UTF-8     LC_MONETARY=C.UTF-8    LC_MESSAGES=C.UTF-8    #>  [7] LC_PAPER=C.UTF-8       LC_NAME=C              LC_ADDRESS=C           #> [10] LC_TELEPHONE=C         LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C    #>  #> time zone: UTC #> tzcode source: system (glibc) #>  #> attached base packages: #> [1] stats     graphics  grDevices utils     datasets  methods   base      #>  #> other attached packages: #> [1] MiscMetabar_0.7.4 dplyr_1.1.4       dada2_1.30.0      Rcpp_1.0.12       #> [5] ggplot2_3.4.4     phyloseq_1.46.0   #>  #> loaded via a namespace (and not attached): #>   [1] DBI_1.2.1                   bitops_1.0-7                #>   [3] pbapply_1.7-2               deldir_2.0-2                #>   [5] permute_0.9-7               rlang_1.1.3                 #>   [7] magrittr_2.0.3              ade4_1.7-22                 #>   [9] RSQLite_2.3.5               matrixStats_1.2.0           #>  [11] compiler_4.3.2              mgcv_1.9-0                  #>  [13] png_0.1-8                   systemfonts_1.0.5           #>  [15] vctrs_0.6.5                 reshape2_1.4.4              #>  [17] stringr_1.5.1               pkgconfig_2.0.3             #>  [19] crayon_1.5.2                fastmap_1.1.1               #>  [21] XVector_0.42.0              labeling_0.4.3              #>  [23] utf8_1.2.4                  Rsamtools_2.18.0            #>  [25] rmarkdown_2.25              ragg_1.2.7                  #>  [27] bit_4.0.5                   purrr_1.0.2                 #>  [29] xfun_0.41                   zlibbioc_1.48.0             #>  [31] cachem_1.0.8                GenomeInfoDb_1.38.5         #>  [33] jsonlite_1.8.8              biomformat_1.30.0           #>  [35] blob_1.2.4                  highr_0.10                  #>  [37] rhdf5filters_1.14.1         DelayedArray_0.28.0         #>  [39] Rhdf5lib_1.24.2             BiocParallel_1.36.0         #>  [41] jpeg_0.1-10                 parallel_4.3.2              #>  [43] cluster_2.1.4               R6_2.5.1                    #>  [45] bslib_0.6.1                 stringi_1.8.3               #>  [47] RColorBrewer_1.1-3          GenomicRanges_1.54.1        #>  [49] jquerylib_0.1.4             SummarizedExperiment_1.32.0 #>  [51] iterators_1.0.14            knitr_1.45                  #>  [53] DECIPHER_2.30.0             IRanges_2.36.0              #>  [55] Matrix_1.6-1.1              splines_4.3.2               #>  [57] igraph_2.0.1.1              tidyselect_1.2.0            #>  [59] abind_1.4-5                 yaml_2.3.8                  #>  [61] vegan_2.6-4                 codetools_0.2-19            #>  [63] hwriter_1.3.2.1             lattice_0.21-9              #>  [65] tibble_3.2.1                plyr_1.8.9                  #>  [67] Biobase_2.62.0              withr_3.0.0                 #>  [69] ShortRead_1.60.0            evaluate_0.23               #>  [71] desc_1.4.3                  survival_3.5-7              #>  [73] RcppParallel_5.1.7          Biostrings_2.70.2           #>  [75] pillar_1.9.0                MatrixGenerics_1.14.0       #>  [77] foreach_1.5.2               stats4_4.3.2                #>  [79] generics_0.1.3              RCurl_1.98-1.14             #>  [81] S4Vectors_0.40.2            munsell_0.5.0               #>  [83] scales_1.3.0                glue_1.7.0                  #>  [85] tools_4.3.2                 interp_1.1-6                #>  [87] data.table_1.15.0           GenomicAlignments_1.38.2    #>  [89] fs_1.6.3                    rhdf5_2.46.1                #>  [91] grid_4.3.2                  ape_5.7-1                   #>  [93] latticeExtra_0.6-30         colorspace_2.1-0            #>  [95] nlme_3.1-163                GenomeInfoDbData_1.2.11     #>  [97] cli_3.6.2                   textshaping_0.3.7           #>  [99] fansi_1.0.6                 S4Arrays_1.2.0              #> [101] gtable_0.3.4                sass_0.4.8                  #> [103] digest_0.6.34               BiocGenerics_0.48.1         #> [105] SparseArray_1.2.3           farver_2.1.1                #> [107] memoise_2.0.1               htmltools_0.5.7             #> [109] pkgdown_2.0.7               multtest_2.58.0             #> [111] lifecycle_1.0.4             bit64_4.0.5                 #> [113] MASS_7.3-60"},{"path":[]},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/Rules.html","id":"documentation","dir":"Articles","previous_headings":"Rules for the package development","what":"Documentation","title":"Rules","text":"Always indicate required params (required) Indicate default values () set values possible [e.g \"bray\" parameter method vegan::vegdist()] (ii) value well thought good default value users [e.g. number permutation processors, level identity cluster 97%]. Indicate type logical integer params. Homogenize params names across function. Prefer ASVs OTUs denomination, even thought almost interchangeable MiscMetabar package.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/Rules.html","id":"lifecycle","dir":"Articles","previous_headings":"Rules for the package development","what":"Lifecycle","title":"Rules","text":"Experimental: First status function Maturing: tests /analyses make stronger functions Stable: Good level confidence","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/Rules.html","id":"session-information","dir":"Articles","previous_headings":"","what":"Session information","title":"Rules","text":"","code":"sessionInfo() ## R version 4.3.2 (2023-10-31) ## Platform: x86_64-pc-linux-gnu (64-bit) ## Running under: Ubuntu 22.04.3 LTS ##  ## Matrix products: default ## BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3  ## LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so;  LAPACK version 3.10.0 ##  ## locale: ##  [1] LC_CTYPE=C.UTF-8       LC_NUMERIC=C           LC_TIME=C.UTF-8        ##  [4] LC_COLLATE=C.UTF-8     LC_MONETARY=C.UTF-8    LC_MESSAGES=C.UTF-8    ##  [7] LC_PAPER=C.UTF-8       LC_NAME=C              LC_ADDRESS=C           ## [10] LC_TELEPHONE=C         LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C    ##  ## time zone: UTC ## tzcode source: system (glibc) ##  ## attached base packages: ## [1] stats     graphics  grDevices utils     datasets  methods   base      ##  ## loaded via a namespace (and not attached): ##  [1] vctrs_0.6.5       cli_3.6.2         knitr_1.45        rlang_1.1.3       ##  [5] xfun_0.41         stringi_1.8.3     purrr_1.0.2       textshaping_0.3.7 ##  [9] jsonlite_1.8.8    glue_1.7.0        htmltools_0.5.7   ragg_1.2.7        ## [13] sass_0.4.8        rmarkdown_2.25    evaluate_0.23     jquerylib_0.1.4   ## [17] fastmap_1.1.1     yaml_2.3.8        lifecycle_1.0.4   memoise_2.0.1     ## [21] stringr_1.5.1     compiler_4.3.2    fs_1.6.3          systemfonts_1.0.5 ## [25] digest_0.6.34     R6_2.5.1          magrittr_2.0.3    bslib_0.6.1       ## [29] tools_4.3.2       pkgdown_2.0.7     cachem_1.0.8      desc_1.4.3"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/alpha-div.html","id":"hill-number","dir":"Articles","previous_headings":"Alpha diversity","what":"Hill number","title":"alpha-div","text":"Numerous metrics diversity exist. Hill numbers 1 kind general framework alpha diversity index.","code":"renyi_res <- vegan::renyi(data_fungi@otu_table) head(renyi_res) #>                                       0     0.25      0.5         1         2 #> A10-005-B_S188_MERGED.fastq.gz 4.204693 3.615323 3.044244 2.0754183 1.1561862 #> A10-005-H_S189_MERGED.fastq.gz 4.248495 3.150337 2.063712 0.9938545 0.6464533 #> A10-005-M_S190_MERGED.fastq.gz 3.988984 3.607773 3.308361 2.9304156 2.5781603 #> A12-007_S191_MERGED.fastq.gz   5.036953 4.423283 3.751946 2.6309045 1.8468497 #> A12-007-B_S2_MERGED.fastq.gz   3.850148 3.349461 2.874269 2.1881145 1.6533262 #> A15-004_S3_MERGED.fastq.gz     4.025352 3.890614 3.747555 3.4533352 2.9618789 #>                                        4         8        16        32 #> A10-005-B_S188_MERGED.fastq.gz 0.8007816 0.6864775 0.6407124 0.6200442 #> A10-005-H_S189_MERGED.fastq.gz 0.5146170 0.4469617 0.4172228 0.4037640 #> A10-005-M_S190_MERGED.fastq.gz 2.3022639 2.1015018 1.9744485 1.9110311 #> A12-007_S191_MERGED.fastq.gz   1.5920328 1.4947479 1.4421368 1.4109287 #> A12-007-B_S2_MERGED.fastq.gz   1.3979355 1.2774402 1.2106906 1.1733049 #> A15-004_S3_MERGED.fastq.gz     2.4997916 2.2378349 2.1045646 2.0377518 #>                                       64       Inf #> A10-005-B_S188_MERGED.fastq.gz 0.6102022 0.6006678 #> A10-005-H_S189_MERGED.fastq.gz 0.3973550 0.3911464 #> A10-005-M_S190_MERGED.fastq.gz 1.8806976 1.8513117 #> A12-007_S191_MERGED.fastq.gz   1.3916365 1.3700776 #> A12-007-B_S2_MERGED.fastq.gz   1.1547034 1.1366612 #> A15-004_S3_MERGED.fastq.gz     2.0054156 1.9740810"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/alpha-div.html","id":"test-for-difference-in-diversity-hill-number","dir":"Articles","previous_headings":"Alpha diversity","what":"Test for difference in diversity (hill number)","title":"alpha-div","text":"One way keep account difference number sequences per samples use Tukey test linear model square roots number sequence first explanatory variable linear model 2. Hill number 1 Result Tuckey post-hoc test See also tutorial microbiome package alternative using non-parametric Kolmogorov-Smirnov test two-group comparisons relevant covariates.","code":"p <- MiscMetabar::hill_pq(data_fungi, variable = \"Height\") p$plot_Hill_0 p$plot_tuckey"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/alpha-div.html","id":"alpha-diversity-using-package-microbiotaprocess","dir":"Articles","previous_headings":"","what":"Alpha diversity using package MicrobiotaProcess","title":"alpha-div","text":"","code":"library(\"MicrobiotaProcess\") library(\"ggh4x\") clean_pq(subset_samples_pq(data_fungi, !is.na(data_fungi@sam_data$Height))) %>%   as.MPSE() %>%   mp_cal_alpha() %>%   mp_plot_alpha(.group = \"Height\") #> Warning in wilcox.test.default(c(4, 4, 5, 5, 4, 4, 3, 6, 3, 4, 3, 2, 3, : #> cannot compute exact p-value with ties #> Warning in wilcox.test.default(c(3, 4, 3, 5, 4, 6, 3, 5, 4, 4, 3, 3, 3, : #> cannot compute exact p-value with ties #> Warning in wilcox.test.default(c(3, 4, 3, 5, 4, 6, 3, 5, 4, 4, 3, 3, 3, : #> cannot compute exact p-value with ties #> Warning in wilcox.test.default(c(1.32966134885476, 1.242453324894, #> 1.56071040904141, : cannot compute exact p-value with ties #> Warning in wilcox.test.default(c(0.867563228481461, 1.32966134885476, #> 0.867563228481461, : cannot compute exact p-value with ties #> Warning in wilcox.test.default(c(0.867563228481461, 1.32966134885476, #> 0.867563228481461, : cannot compute exact p-value with ties"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/alpha-div.html","id":"session-information","dir":"Articles","previous_headings":"","what":"Session information","title":"alpha-div","text":"","code":"sessionInfo() #> R version 4.3.2 (2023-10-31) #> Platform: x86_64-pc-linux-gnu (64-bit) #> Running under: Ubuntu 22.04.3 LTS #>  #> Matrix products: default #> BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3  #> LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so;  LAPACK version 3.10.0 #>  #> locale: #>  [1] LC_CTYPE=C.UTF-8       LC_NUMERIC=C           LC_TIME=C.UTF-8        #>  [4] LC_COLLATE=C.UTF-8     LC_MONETARY=C.UTF-8    LC_MESSAGES=C.UTF-8    #>  [7] LC_PAPER=C.UTF-8       LC_NAME=C              LC_ADDRESS=C           #> [10] LC_TELEPHONE=C         LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C    #>  #> time zone: UTC #> tzcode source: system (glibc) #>  #> attached base packages: #> [1] stats     graphics  grDevices utils     datasets  methods   base      #>  #> other attached packages: #> [1] ggh4x_0.2.8              MicrobiotaProcess_1.14.0 MiscMetabar_0.7.4        #> [4] dplyr_1.1.4              dada2_1.30.0             Rcpp_1.0.12              #> [7] ggplot2_3.4.4            phyloseq_1.46.0          #>  #> loaded via a namespace (and not attached): #>   [1] libcoin_1.0-10              RColorBrewer_1.1-3          #>   [3] jsonlite_1.8.8              magrittr_2.0.3              #>   [5] TH.data_1.1-2               modeltools_0.2-23           #>   [7] farver_2.1.1                rmarkdown_2.25              #>   [9] fs_1.6.3                    zlibbioc_1.48.0             #>  [11] ragg_1.2.7                  vctrs_0.6.5                 #>  [13] multtest_2.58.0             memoise_2.0.1               #>  [15] Rsamtools_2.18.0            RCurl_1.98-1.14             #>  [17] ggtree_3.10.0               htmltools_0.5.7             #>  [19] S4Arrays_1.2.0              Rhdf5lib_1.24.2             #>  [21] gridGraphics_0.5-1          SparseArray_1.2.3           #>  [23] rhdf5_2.46.1                sass_0.4.8                  #>  [25] bslib_0.6.1                 desc_1.4.3                  #>  [27] plyr_1.8.9                  sandwich_3.1-0              #>  [29] zoo_1.8-12                  cachem_1.0.8                #>  [31] GenomicAlignments_1.38.2    igraph_2.0.1.1              #>  [33] lifecycle_1.0.4             iterators_1.0.14            #>  [35] pkgconfig_2.0.3             Matrix_1.6-1.1              #>  [37] R6_2.5.1                    fastmap_1.1.1               #>  [39] GenomeInfoDbData_1.2.11     MatrixGenerics_1.14.0       #>  [41] aplot_0.2.2                 digest_0.6.34               #>  [43] ggnewscale_0.4.9            colorspace_2.1-0            #>  [45] ShortRead_1.60.0            patchwork_1.2.0             #>  [47] S4Vectors_0.40.2            textshaping_0.3.7           #>  [49] GenomicRanges_1.54.1        hwriter_1.3.2.1             #>  [51] vegan_2.6-4                 labeling_0.4.3              #>  [53] fansi_1.0.6                 abind_1.4-5                 #>  [55] mgcv_1.9-0                  compiler_4.3.2              #>  [57] withr_3.0.0                 BiocParallel_1.36.0         #>  [59] highr_0.10                  ggsignif_0.6.4              #>  [61] MASS_7.3-60                 DelayedArray_0.28.0         #>  [63] biomformat_1.30.0           permute_0.9-7               #>  [65] tools_4.3.2                 ape_5.7-1                   #>  [67] glue_1.7.0                  nlme_3.1-163                #>  [69] rhdf5filters_1.14.1         grid_4.3.2                  #>  [71] cluster_2.1.4               reshape2_1.4.4              #>  [73] ade4_1.7-22                 generics_0.1.3              #>  [75] gtable_0.3.4                tidyr_1.3.1                 #>  [77] data.table_1.15.0           coin_1.4-3                  #>  [79] utf8_1.2.4                  XVector_0.42.0              #>  [81] BiocGenerics_0.48.1         ggrepel_0.9.5               #>  [83] foreach_1.5.2               pillar_1.9.0                #>  [85] stringr_1.5.1               yulab.utils_0.1.4           #>  [87] splines_4.3.2               gghalves_0.1.4              #>  [89] treeio_1.26.0               lattice_0.21-9              #>  [91] survival_3.5-7              deldir_2.0-2                #>  [93] tidyselect_1.2.0            Biostrings_2.70.2           #>  [95] knitr_1.45                  gridExtra_2.3               #>  [97] IRanges_2.36.0              SummarizedExperiment_1.32.0 #>  [99] ggtreeExtra_1.12.0          stats4_4.3.2                #> [101] xfun_0.41                   Biobase_2.62.0              #> [103] matrixStats_1.2.0           stringi_1.8.3               #> [105] lazyeval_0.2.2              ggfun_0.1.4                 #> [107] yaml_2.3.8                  evaluate_0.23               #> [109] codetools_0.2-19            interp_1.1-6                #> [111] tibble_3.2.1                ggplotify_0.1.2             #> [113] cli_3.6.2                   RcppParallel_5.1.7          #> [115] systemfonts_1.0.5           munsell_0.5.0               #> [117] jquerylib_0.1.4             GenomeInfoDb_1.38.5         #> [119] png_0.1-8                   parallel_4.3.2              #> [121] pkgdown_2.0.7               latticeExtra_0.6-30         #> [123] jpeg_0.1-10                 bitops_1.0-7                #> [125] ggstar_1.0.4                mvtnorm_1.2-4               #> [127] tidytree_0.4.6              scales_1.3.0                #> [129] purrr_1.0.2                 crayon_1.5.2                #> [131] rlang_1.1.3                 multcomp_1.4-25"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/beta-div.html","id":"permanova","dir":"Articles","previous_headings":"","what":"Permanova","title":"beta-div","text":"","code":"data_fungi_woNA4height <- subset_samples(data_fungi, !is.na(data_fungi@sam_data$Height)) res_ado <- adonis_pq(data_fungi_woNA4height, \"Tree_name+Height\") knitr::kable(res_ado)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/beta-div.html","id":"graph-test","dir":"Articles","previous_headings":"","what":"Graph Test","title":"beta-div","text":"","code":"data_fungi_woNA4height <- subset_samples(data_fungi, !is.na(data_fungi@sam_data$Height)) graph_test_pq(data_fungi_woNA4height, \"Height\")"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/beta-div.html","id":"circle-of-asvs","dir":"Articles","previous_headings":"","what":"Circle of ASVs","title":"beta-div","text":"","code":"circle_pq(data_fungi_woNA4height, \"Height\")"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/beta-div.html","id":"biplot","dir":"Articles","previous_headings":"Compare two (group of) samples","what":"Biplot","title":"beta-div","text":"","code":"data_fungi_low_high <- subset_samples(   data_fungi,   data_fungi@sam_data$Height %in%     c(\"Low\", \"High\") ) data_fungi_low_high <- subset_taxa_pq(   data_fungi_low_high,   taxa_sums(data_fungi_low_high) > 5000 ) biplot_pq(data_fungi_low_high, fact = \"Height\", merge_sample_by = \"Height\") #> Warning: Removed 1 rows containing missing values (`geom_rect()`)."},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/beta-div.html","id":"compare-two-group-of-samples-with-a-table","dir":"Articles","previous_headings":"Compare two (group of) samples","what":"Compare two (group of) samples with a table","title":"beta-div","text":"","code":"compare_pairs_pq(data_fungi_low_high,   bifactor = \"Height\",   merge_sample_by = \"Height\",   modality = \"Time\" ) #> # A tibble: 4 × 13 #>   modality nb_ASV_High nb_ASV_Low nb_shared_ASV div_High div_Low nb_shared_seq #>   <chr>          <dbl>      <dbl>         <dbl>    <dbl>   <dbl>         <dbl> #> 1 0                 12         16             9     1.8     1.37         57639 #> 2 5                 20         18            14     1.95    1.98         76006 #> 3 10                11         13            10     1.18    1.25         47042 #> 4 15                17         19            12     2       2.04        161348 #> # ℹ 6 more variables: percent_shared_seq_High <dbl>, #> #   percent_shared_seq_Low <dbl>, percent_shared_ASV_High <dbl>, #> #   percent_shared_ASV_Low <dbl>, ratio_nb_High_Low <dbl>, #> #   ratio_div_High_Low <dbl>"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/beta-div.html","id":"venn-diagram","dir":"Articles","previous_headings":"","what":"Venn diagram","title":"beta-div","text":"","code":"library(\"grid\") venn_pq(data_fungi, fact = \"Height\") ggvenn_pq(data_fungi, fact = \"Height\") +   ggplot2::scale_fill_distiller(palette = \"BuPu\", direction = 1) +   labs(title = \"Share number of ASV among Height in tree\") ggvenn_pq(data_fungi, fact = \"Height\", min_nb_seq = 5000) +   ggplot2::scale_fill_distiller(palette = \"BuPu\", direction = 1) +   labs(title = \"Share number of ASV with more than 5000 seqs\") ggvenn_pq(data_fungi,   fact = \"Height\", taxonomic_rank = \"Genus\",   min_nb_seq = 100 ) +   ggplot2::scale_fill_distiller(palette = \"BuPu\", direction = 1) +   labs(title = \"Share number of Genus represented by at least one ASV with more than 100 seqs\")"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/beta-div.html","id":"upset-plot","dir":"Articles","previous_headings":"","what":"Upset plot","title":"beta-div","text":"Venn diagram can quickly become complex read number modalities increase. One graphical solution upset plot. MiscMetabar propose solution based package ComplexUpset.   ComplexUpset package allow powerful configuration plot can see following figure.","code":"upset_pq(data_fungi, fact = \"Height\") upset_pq(data_fungi, fact = \"Time\") upset_pq(   data_fungi,   fact = \"Time\",   width_ratio = 0.2,   annotations = list(     \"Sequences per ASV \\n (log10)\" = (       ggplot(mapping = aes(y = log10(Abundance)))       +         geom_jitter(aes(           color =             Abundance         ), na.rm = TRUE)         +         geom_violin(alpha = 0.5, na.rm = TRUE) +         theme(legend.key.size = unit(0.2, \"cm\")) +         theme(axis.text = element_text(size = 12))     ),     \"ASV per phylum\" = (       ggplot(mapping = aes(fill = Phylum))       +         geom_bar() +         ylab(\"ASV per phylum\") +         theme(legend.key.size = unit(0.2, \"cm\")) +         theme(axis.text = element_text(size = 12))     )   ) )"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/beta-div.html","id":"benchdamic","dir":"Articles","previous_headings":"Change in abundance across a factor","what":"Benchdamic","title":"beta-div","text":"lot available methods. Please refer R package benchdamic list method implementation benchmark data.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/beta-div.html","id":"library-requirement-for-debian-linux-os","dir":"Articles","previous_headings":"Change in abundance across a factor","what":"Library requirement for Debian Linux OS","title":"beta-div","text":"","code":"sudo apt-get install libgsl-dev libmpfr-dev"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/beta-div.html","id":"using-deseq2-package","dir":"Articles","previous_headings":"Change in abundance across a factor","what":"Using Deseq2 package","title":"beta-div","text":"","code":"data(\"GlobalPatterns\", package = \"phyloseq\") GP <- subset_samples(   GlobalPatterns,   GlobalPatterns@sam_data$SampleType %in% c(\"Soil\", \"Skin\") )  plot_deseq2_pq(GP, c(\"SampleType\", \"Soil\", \"Skin\"), pval = 0.001)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/beta-div.html","id":"session-information","dir":"Articles","previous_headings":"","what":"Session information","title":"beta-div","text":"","code":"sessionInfo() #> R version 4.3.2 (2023-10-31) #> Platform: x86_64-pc-linux-gnu (64-bit) #> Running under: Ubuntu 22.04.3 LTS #>  #> Matrix products: default #> BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3  #> LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so;  LAPACK version 3.10.0 #>  #> locale: #>  [1] LC_CTYPE=C.UTF-8          LC_NUMERIC=C              #>  [3] LC_TIME=C.UTF-8           LC_COLLATE=C.UTF-8        #>  [5] LC_MONETARY=C.UTF-8       LC_MESSAGES=C.UTF-8       #>  [7] LC_PAPER=C.UTF-8          LC_NAME=C.UTF-8           #>  [9] LC_ADDRESS=C.UTF-8        LC_TELEPHONE=C.UTF-8      #> [11] LC_MEASUREMENT=C.UTF-8    LC_IDENTIFICATION=C.UTF-8 #>  #> time zone: UTC #> tzcode source: system (glibc) #>  #> attached base packages: #> [1] grid      stats     graphics  grDevices utils     datasets  methods   #> [8] base      #>  #> other attached packages: #> [1] MiscMetabar_0.7.4 dplyr_1.1.4       dada2_1.30.0      Rcpp_1.0.12       #> [5] ggplot2_3.4.4     phyloseq_1.46.0   #>  #> loaded via a namespace (and not attached): #>   [1] bitops_1.0-7                pbapply_1.7-2               #>   [3] deldir_2.0-2                gridExtra_2.3               #>   [5] permute_0.9-7               rlang_1.1.3                 #>   [7] magrittr_2.0.3              ade4_1.7-22                 #>   [9] matrixStats_1.2.0           compiler_4.3.2              #>  [11] mgcv_1.9-0                  png_0.1-8                   #>  [13] systemfonts_1.0.5           vctrs_0.6.5                 #>  [15] reshape2_1.4.4              phyloseqGraphTest_0.1.1     #>  [17] stringr_1.5.1               shape_1.4.6                 #>  [19] pkgconfig_2.0.3             crayon_1.5.2                #>  [21] fastmap_1.1.1               XVector_0.42.0              #>  [23] labeling_0.4.3              utf8_1.2.4                  #>  [25] Rsamtools_2.18.0            rmarkdown_2.25              #>  [27] ragg_1.2.7                  purrr_1.0.2                 #>  [29] xfun_0.41                   zlibbioc_1.48.0             #>  [31] cachem_1.0.8                GenomeInfoDb_1.38.5         #>  [33] jsonlite_1.8.8              biomformat_1.30.0           #>  [35] highr_0.10                  rhdf5filters_1.14.1         #>  [37] DelayedArray_0.28.0         Rhdf5lib_1.24.2             #>  [39] BiocParallel_1.36.0         jpeg_0.1-10                 #>  [41] parallel_4.3.2              cluster_2.1.4               #>  [43] R6_2.5.1                    bslib_0.6.1                 #>  [45] stringi_1.8.3               RColorBrewer_1.1-3          #>  [47] ComplexUpset_1.3.3          GenomicRanges_1.54.1        #>  [49] jquerylib_0.1.4             SummarizedExperiment_1.32.0 #>  [51] iterators_1.0.14            knitr_1.45                  #>  [53] IRanges_2.36.0              Matrix_1.6-1.1              #>  [55] splines_4.3.2               igraph_2.0.1.1              #>  [57] tidyselect_1.2.0            abind_1.4-5                 #>  [59] yaml_2.3.8                  ggVennDiagram_1.5.0         #>  [61] vegan_2.6-4                 codetools_0.2-19            #>  [63] hwriter_1.3.2.1             lattice_0.21-9              #>  [65] tibble_3.2.1                plyr_1.8.9                  #>  [67] Biobase_2.62.0              withr_3.0.0                 #>  [69] ShortRead_1.60.0            evaluate_0.23               #>  [71] desc_1.4.3                  survival_3.5-7              #>  [73] rJava_1.0-11                RcppParallel_5.1.7          #>  [75] circlize_0.4.15             Biostrings_2.70.2           #>  [77] pillar_1.9.0                MatrixGenerics_1.14.0       #>  [79] foreach_1.5.2               stats4_4.3.2                #>  [81] generics_0.1.3              RCurl_1.98-1.14             #>  [83] S4Vectors_0.40.2            munsell_0.5.0               #>  [85] scales_1.3.0                ggnetwork_0.5.12            #>  [87] glue_1.7.0                  tools_4.3.2                 #>  [89] interp_1.1-6                data.table_1.15.0           #>  [91] locfit_1.5-9.8              GenomicAlignments_1.38.2    #>  [93] fs_1.6.3                    rhdf5_2.46.1                #>  [95] tidyr_1.3.1                 ape_5.7-1                   #>  [97] latticeExtra_0.6-30         colorspace_2.1-0            #>  [99] patchwork_1.2.0             nlme_3.1-163                #> [101] GenomeInfoDbData_1.2.11     cli_3.6.2                   #> [103] textshaping_0.3.7           fansi_1.0.6                 #> [105] S4Arrays_1.2.0              gtable_0.3.4                #> [107] DESeq2_1.42.0               sass_0.4.8                  #> [109] digest_0.6.34               BiocGenerics_0.48.1         #> [111] SparseArray_1.2.3           farver_2.1.1                #> [113] venneuler_1.1-4             memoise_2.0.1               #> [115] htmltools_0.5.7             pkgdown_2.0.7               #> [117] multtest_2.58.0             lifecycle_1.0.4             #> [119] GlobalOptions_0.1.2         MASS_7.3-60"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/explore_data.html","id":"explore-samples-metadata","dir":"Articles","previous_headings":"","what":"Explore samples metadata","title":"explore_data","text":"Table scan generated pointblank. X  character  Sample_names  character  Tree_name  character  Sample_id  integer  Height  character  Diameter  character  Time  integer","code":"sam_tab <- tibble::as_tibble(unclass(data_fungi@sam_data)) summarytools::dfSummary(sam_tab) #> Warning: no DISPLAY variable so Tk is not available #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display ''  #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display ''  #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display '' #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display '' #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display ''  #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display ''  #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display '' #> Data Frame Summary   #> sam_tab   #> Dimensions: 185 x 7   #> Duplicates: 0   #>  #> -------------------------------------------------------------------------------------------------------------------- #> No   Variable       Stats / Values                  Freqs (% of Valid)    Graph                 Valid      Missing   #> ---- -------------- ------------------------------- --------------------- --------------------- ---------- --------- #> 1    X              1. A10-005-B_S188_MERGED.fas      1 ( 0.5%)                                 185        0         #>      [character]    2. A10-005-H_S189_MERGED.fas      1 ( 0.5%)                                 (100.0%)   (0.0%)    #>                     3. A10-005-M_S190_MERGED.fas      1 ( 0.5%)                                                      #>                     4. A12-007_S191_MERGED.fastq      1 ( 0.5%)                                                      #>                     5. A12-007-B_S2_MERGED.fastq      1 ( 0.5%)                                                      #>                     6. A15-004_S3_MERGED.fastq.g      1 ( 0.5%)                                                      #>                     7. A8-005_S4_MERGED.fastq.gz      1 ( 0.5%)                                                      #>                     8. A9-012_S5_MERGED.fastq.gz      1 ( 0.5%)                                                      #>                     9. AB29-ABMX-H_S6_MERGED.fas      1 ( 0.5%)                                                      #>                     10. AC27-013_S7_MERGED.fastq.     1 ( 0.5%)                                                      #>                     [ 175 others ]                  175 (94.6%)           IIIIIIIIIIIIIIIIII                         #>  #> 2    Sample_names   1. A10-005-B_S188                 1 ( 0.5%)                                 185        0         #>      [character]    2. A10-005-H_S189                 1 ( 0.5%)                                 (100.0%)   (0.0%)    #>                     3. A10-005-M_S190                 1 ( 0.5%)                                                      #>                     4. A12-007_S191                   1 ( 0.5%)                                                      #>                     5. A12-007-B_S2                   1 ( 0.5%)                                                      #>                     6. A15-004_S3                     1 ( 0.5%)                                                      #>                     7. A8-005_S4                      1 ( 0.5%)                                                      #>                     8. A9-012_S5                      1 ( 0.5%)                                                      #>                     9. AB29-ABMX-H_S6                 1 ( 0.5%)                                                      #>                     10. AC27-013_S7                   1 ( 0.5%)                                                      #>                     [ 175 others ]                  175 (94.6%)           IIIIIIIIIIIIIIIIII                         #>  #> 3    Tree_name      1. AD30-abm-X                     4 ( 2.2%)                                 185        0         #>      [character]    2. A10-005                        3 ( 1.6%)                                 (100.0%)   (0.0%)    #>                     3. AD26-005                       3 ( 1.6%)                                                      #>                     4. BB6-019                        3 ( 1.6%)                                                      #>                     5. BE9-006                        3 ( 1.6%)                                                      #>                     6. BG7-010                        3 ( 1.6%)                                                      #>                     7. BL7-006                        3 ( 1.6%)                                                      #>                     8. BP11-001                       3 ( 1.6%)                                                      #>                     9. BQ4-018                        3 ( 1.6%)                                                      #>                     10. BU11-002                      3 ( 1.6%)                                                      #>                     [ 102 others ]                  154 (83.2%)           IIIIIIIIIIIIIIII                           #>  #> 4    Sample_id      Mean (sd) : 96.5 (55.7)         185 distinct values   : : : . :   : : : :   185        0         #>      [integer]      min < med < max:                                      : : : : : : : : : :   (100.0%)   (0.0%)    #>                     2 < 96 < 191                                          : : : : : : : : : :                        #>                     IQR (CV) : 97 (0.6)                                   : : : : : : : : : :                        #>                                                                           : : : : : : : : : :                        #>  #> 5    Height         1. High                         41 (31.3%)            IIIIII                131        54        #>      [character]    2. Low                          45 (34.4%)            IIIIII                (70.8%)    (29.2%)   #>                     3. Middle                       45 (34.4%)            IIIIII                                     #>  #> 6    Diameter       1. 30                            13 ( 7.2%)           I                     180        5         #>      [character]    2. 25                             8 ( 4.4%)                                 (97.3%)    (2.7%)    #>                     3. -                              6 ( 3.3%)                                                      #>                     4. 34                             6 ( 3.3%)                                                      #>                     5. 32                             5 ( 2.8%)                                                      #>                     6. 40                             5 ( 2.8%)                                                      #>                     7. 52                             5 ( 2.8%)                                                      #>                     8. 21,5                           4 ( 2.2%)                                                      #>                     9. 33,3                           4 ( 2.2%)                                                      #>                     10. 33,5                          4 ( 2.2%)                                                      #>                     [ 67 others ]                   120 (66.7%)           IIIIIIIIIIIII                              #>  #> 7    Time           Mean (sd) : 5.8 (5.9)           0 : 67 (41.4%)        IIIIIIII              162        23        #>      [integer]      min < med < max:                5 : 38 (23.5%)        IIII                  (87.6%)    (12.4%)   #>                     0 < 5 < 15                      10 : 21 (13.0%)       II                                         #>                     IQR (CV) : 10 (1)               15 : 36 (22.2%)       IIII                                       #> -------------------------------------------------------------------------------------------------------------------- datawizard::data_codebook(sam_tab) #> sam_tab (185 rows and 7 variables, 7 shown) #>  #> ID | Name         | Type      |   Missings |                         Values |          N #> ---+--------------+-----------+------------+--------------------------------+----------- #> 1  | X            | character |   0 (0.0%) | A10-005-B_S188_MERGED.fastq.gz |  1 ( 0.5%) #>    |              |           |            | A10-005-H_S189_MERGED.fastq.gz |  1 ( 0.5%) #>    |              |           |            | A10-005-M_S190_MERGED.fastq.gz |  1 ( 0.5%) #>    |              |           |            |   A12-007_S191_MERGED.fastq.gz |  1 ( 0.5%) #>    |              |           |            |   A12-007-B_S2_MERGED.fastq.gz |  1 ( 0.5%) #>    |              |           |            |     A15-004_S3_MERGED.fastq.gz |  1 ( 0.5%) #>    |              |           |            |      A8-005_S4_MERGED.fastq.gz |  1 ( 0.5%) #>    |              |           |            |      A9-012_S5_MERGED.fastq.gz |  1 ( 0.5%) #>    |              |           |            | AB29-ABMX-H_S6_MERGED.fastq.gz |  1 ( 0.5%) #>    |              |           |            |    AC27-013_S7_MERGED.fastq.gz |  1 ( 0.5%) #>    |              |           |            |                          (...) |            #> ---+--------------+-----------+------------+--------------------------------+----------- #> 2  | Sample_names | character |   0 (0.0%) |                 A10-005-B_S188 |  1 ( 0.5%) #>    |              |           |            |                 A10-005-H_S189 |  1 ( 0.5%) #>    |              |           |            |                 A10-005-M_S190 |  1 ( 0.5%) #>    |              |           |            |                   A12-007_S191 |  1 ( 0.5%) #>    |              |           |            |                   A12-007-B_S2 |  1 ( 0.5%) #>    |              |           |            |                     A15-004_S3 |  1 ( 0.5%) #>    |              |           |            |                      A8-005_S4 |  1 ( 0.5%) #>    |              |           |            |                      A9-012_S5 |  1 ( 0.5%) #>    |              |           |            |                 AB29-ABMX-H_S6 |  1 ( 0.5%) #>    |              |           |            |                    AC27-013_S7 |  1 ( 0.5%) #>    |              |           |            |                          (...) |            #> ---+--------------+-----------+------------+--------------------------------+----------- #> 3  | Tree_name    | character |   0 (0.0%) |                        A10-005 |  3 ( 1.6%) #>    |              |           |            |                        A12-007 |  2 ( 1.1%) #>    |              |           |            |                        A15-004 |  1 ( 0.5%) #>    |              |           |            |                         A8-005 |  1 ( 0.5%) #>    |              |           |            |                         A9-012 |  1 ( 0.5%) #>    |              |           |            |                     AB29-abm-X |  1 ( 0.5%) #>    |              |           |            |                       AC27-013 |  1 ( 0.5%) #>    |              |           |            |                       AC29-033 |  1 ( 0.5%) #>    |              |           |            |                       AD26-005 |  3 ( 1.6%) #>    |              |           |            |                     AD30-abm-X |  4 ( 2.2%) #>    |              |           |            |                          (...) |            #> ---+--------------+-----------+------------+--------------------------------+----------- #> 4  | Sample_id    | integer   |   0 (0.0%) |                       [2, 191] |        185 #> ---+--------------+-----------+------------+--------------------------------+----------- #> 5  | Height       | character | 54 (29.2%) |                           High | 41 (31.3%) #>    |              |           |            |                            Low | 45 (34.4%) #>    |              |           |            |                         Middle | 45 (34.4%) #> ---+--------------+-----------+------------+--------------------------------+----------- #> 6  | Diameter     | character |   5 (2.7%) |                              - |  6 ( 3.3%) #>    |              |           |            |                             10 |  2 ( 1.1%) #>    |              |           |            |                             11 |  2 ( 1.1%) #>    |              |           |            |                          115,5 |  3 ( 1.7%) #>    |              |           |            |                           18,3 |  1 ( 0.6%) #>    |              |           |            |                           18,4 |  1 ( 0.6%) #>    |              |           |            |                           18,9 |  3 ( 1.7%) #>    |              |           |            |                             20 |  3 ( 1.7%) #>    |              |           |            |                           21,5 |  4 ( 2.2%) #>    |              |           |            |                             23 |  1 ( 0.6%) #>    |              |           |            |                          (...) |            #> ---+--------------+-----------+------------+--------------------------------+----------- #> 7  | Time         | integer   | 23 (12.4%) |                              0 | 67 (41.4%) #>    |              |           |            |                              5 | 38 (23.5%) #>    |              |           |            |                             10 | 21 (13.0%) #>    |              |           |            |                             15 | 36 (22.2%) #> ---------------------------------------------------------------------------------------- pillar::glimpse(sam_tab) #> Rows: 185 #> Warning in class(x) <- tibble_class: Setting class(x) to multiple strings #> (\"tbl_df\", \"tbl\", ...); result will no longer be an S4 object #> Columns: 7 #> $ X            <chr> \"A10-005-B_S188_MERGED.fastq.gz\", \"A10-005-H_S189_MERGED.… #> $ Sample_names <chr> \"A10-005-B_S188\", \"A10-005-H_S189\", \"A10-005-M_S190\", \"A1… #> $ Tree_name    <chr> \"A10-005\", \"A10-005\", \"A10-005\", \"A12-007\", \"A12-007\", \"A… #> $ Sample_id    <int> 188, 189, 190, 191, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 1… #> $ Height       <chr> \"Low\", \"High\", \"Middle\", NA, \"Low\", NA, NA, NA, \"High\", N… #> $ Diameter     <chr> \"52\", \"52\", \"52\", \"28,4\", \"28,4\", \"30,7\", \"32,8\", \"33,3\",… #> $ Time         <int> 15, 15, 15, 0, 0, 0, 0, 0, 5, 15, 15, 15, 15, 15, 5, NA, … pointblank::scan_data(sam_tab, sections = \"OVSCMI\") #> Warning in class(x) <- tibble_class: Setting class(x) to multiple strings #> (\"tbl_df\", \"tbl\", ...); result will no longer be an S4 object pointblank::create_informant(   tbl = sam_tab,   tbl_name = \"Sample data\",   label = \"data_fungi\" ) gtExtras::gt_plt_summary(sam_tab)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/explore_data.html","id":null,"dir":"Articles","previous_headings":"","what":"explore_data","title":"explore_data","text":"Overview Reproducibility Table Overview Columns Rows NAs Duplicate Rows Column Types Reproducibility Information Scan Build Time 2024-02-09 14:27:16 pointblank Version 0.11.4 R Version R version 4.3.2 (2023–10–31)Eye Holes Operating System x86_64-pc-linux-gnu","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/explore_data.html","id":null,"dir":"Articles","previous_headings":"","what":"explore_data","title":"explore_data","text":"X  character Distinct NAs Inf/-Inf Common Values String Lengths  Values (175) String Lengths Histogram Sample_names  character Distinct NAs Inf/-Inf Common Values String Lengths  Values (175) String Lengths Histogram Tree_name  character Distinct NAs Inf/-Inf Common Values String Lengths  Values (154) String Lengths Histogram Sample_id  integer Distinct NAs Inf/-Inf Mean Minimum Maximum Statistics Common Values Max/Min Slices Quantile Statistics Descriptive Statistics  Values (175) Maximum Values Minimum Values Height  character Distinct NAs Inf/-Inf Common Values String Lengths  Values (0) String Lengths Histogram Diameter  character Distinct NAs Inf/-Inf Common Values String Lengths  Values (124) String Lengths Histogram Time  integer Distinct NAs Inf/-Inf Mean Minimum Maximum Statistics Common Values Max/Min Slices Quantile Statistics Descriptive Statistics  Values (0) Maximum Values Minimum Values","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/explore_data.html","id":null,"dir":"Articles","previous_headings":"","what":"explore_data","title":"explore_data","text":"Pearson Kendall Spearman","code":""},{"path":[]},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/explore_data.html","id":"explore-taxonomic-data","dir":"Articles","previous_headings":"","what":"Explore taxonomic data","title":"explore_data","text":"Table scan generated pointblank. Domain  character  Phylum  character  Class  character  Order  character  Family  character  Genus  character  Species  character  Trophic.Mode  character  Guild  character  Trait  character  Confidence.Ranking  character  Genus_species  character","code":"tax_tab <- tibble::as_tibble(unclass(data_fungi@tax_table)) summarytools::dfSummary(tax_tab) #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display ''  #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display ''  #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display ''  #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display ''  #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display ''  #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display ''  #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display ''  #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display ''  #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display ''  #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display ''  #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display ''  #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display '' #> Data Frame Summary   #> tax_tab   #> Dimensions: 1420 x 12   #> Duplicates: 976   #>  #> -------------------------------------------------------------------------------------------------------------------------- #> No   Variable             Stats / Values                  Freqs (% of Valid)   Graph                  Valid      Missing   #> ---- -------------------- ------------------------------- -------------------- ---------------------- ---------- --------- #> 1    Domain               1. Fungi                        1420 (100.0%)        IIIIIIIIIIIIIIIIIIII   1420       0         #>      [character]                                                                                      (100.0%)   (0.0%)    #>  #> 2    Phylum               1. Ascomycota                   1066 (75.1%)         IIIIIIIIIIIIIII        1420       0         #>      [character]          2. Basidiomycota                 345 (24.3%)         IIII                   (100.0%)   (0.0%)    #>                           3. Monoblepharomycota              1 ( 0.1%)                                                     #>                           4. Mortierellomycota               1 ( 0.1%)                                                     #>                           5. Mucoromycota                    3 ( 0.2%)                                                     #>                           6. Rozellomycota                   4 ( 0.3%)                                                     #>  #> 3    Class                1. Sordariomycetes              297 (22.4%)          IIII                   1327       93        #>      [character]          2. Agaricomycetes               245 (18.5%)          III                    (93.5%)    (6.5%)    #>                           3. Dothideomycetes              207 (15.6%)          III                                         #>                           4. Leotiomycetes                149 (11.2%)          II                                          #>                           5. Eurotiomycetes               121 ( 9.1%)          I                                           #>                           6. Lecanoromycetes              117 ( 8.8%)          I                                           #>                           7. Tremellomycetes               45 ( 3.4%)                                                      #>                           8. Saccharomycetes               42 ( 3.2%)                                                      #>                           9. Orbiliomycetes                30 ( 2.3%)                                                      #>                           10. Dacrymycetes                 24 ( 1.8%)                                                      #>                           [ 15 others ]                    50 ( 3.8%)                                                      #>  #> 4    Order                1. Pleosporales                 132 (10.7%)          II                     1231       189       #>      [character]          2. Helotiales                   126 (10.2%)          II                     (86.7%)    (13.3%)   #>                           3. Chaetothyriales               73 ( 5.9%)          I                                           #>                           4. Xylariales                    53 ( 4.3%)                                                      #>                           5. Capnodiales                   49 ( 4.0%)                                                      #>                           6. Russulales                    45 ( 3.7%)                                                      #>                           7. Agaricales                    43 ( 3.5%)                                                      #>                           8. Saccharomycetales             42 ( 3.4%)                                                      #>                           9. Hypocreales                   39 ( 3.2%)                                                      #>                           10. Coniochaetales               38 ( 3.1%)                                                      #>                           [ 63 others ]                   591 (48.0%)          IIIIIIIII                                   #>  #> 5    Family               1. Herpotrichiellaceae           64 ( 5.8%)          I                      1103       317       #>      [character]          2. Coniochaetaceae               38 ( 3.4%)                                 (77.7%)    (22.3%)   #>                           3. Stereaceae                    35 ( 3.2%)                                                      #>                           4. Aspergillaceae                34 ( 3.1%)                                                      #>                           5. Cucurbitariaceae              34 ( 3.1%)                                                      #>                           6. Helotiaceae                   30 ( 2.7%)                                                      #>                           7. Pleurotheciaceae              30 ( 2.7%)                                                      #>                           8. Orbiliaceae                   29 ( 2.6%)                                                      #>                           9. Xylariaceae                   29 ( 2.6%)                                                      #>                           10. Lecanoraceae                 28 ( 2.5%)                                                      #>                           [ 153 others ]                  752 (68.2%)          IIIIIIIIIIIII                               #>  #> 6    Genus                1. Coniochaeta                   38 ( 3.8%)                                 1010       410       #>      [character]          2. Penicillium                   31 ( 3.1%)                                 (71.1%)    (28.9%)   #>                           3. Neocucurbitaria               29 ( 2.9%)                                                      #>                           4. Orbilia                       22 ( 2.2%)                                                      #>                           5. Scytalidium                   22 ( 2.2%)                                                      #>                           6. Eutypa                        20 ( 2.0%)                                                      #>                           7. Scheffersomyces               20 ( 2.0%)                                                      #>                           8. Exophiala                     19 ( 1.9%)                                                      #>                           9. Pertusaria                    19 ( 1.9%)                                                      #>                           10. Phaeoisaria                  19 ( 1.9%)                                                      #>                           [ 242 others ]                  771 (76.3%)          IIIIIIIIIIIIIII                             #>  #> 7    Species              1. adglutinata                   15 ( 2.3%)                                 651        769       #>      [character]          2. spinosa                       15 ( 2.3%)                                 (45.8%)    (54.2%)   #>                           3. brevicompactum                14 ( 2.2%)                                                      #>                           4. stenosporus                   14 ( 2.2%)                                                      #>                           5. lignicola                     13 ( 2.0%)                                                      #>                           6. ostrea                        13 ( 2.0%)                                                      #>                           7. lignosus                      11 ( 1.7%)                                                      #>                           8. raduloides                    11 ( 1.7%)                                                      #>                           9. acerina                       10 ( 1.5%)                                                      #>                           10. leioplaca                     9 ( 1.4%)                                                      #>                           [ 253 others ]                  526 (80.8%)          IIIIIIIIIIIIIIII                            #>  #> 8    Trophic.Mode         1. -                            358 (25.2%)          IIIII                  1420       0         #>      [character]          2. Pathotroph                    82 ( 5.8%)          I                      (100.0%)   (0.0%)    #>                           3. Pathotroph-Saprotroph        137 ( 9.6%)          I                                           #>                           4. Pathotroph-Saprotroph-Sym    104 ( 7.3%)          I                                           #>                           5. Pathotroph-Symbiotroph        15 ( 1.1%)                                                      #>                           6. Saprotroph                   531 (37.4%)          IIIIIII                                     #>                           7. Saprotroph-Symbiotroph        47 ( 3.3%)                                                      #>                           8. Symbiotroph                  146 (10.3%)          II                                          #>  #> 9    Guild                1. -                            358 (25.2%)          IIIII                  1420       0         #>      [character]          2. Undefined Saprotroph         351 (24.7%)          IIII                   (100.0%)   (0.0%)    #>                           3. Wood Saprotroph              114 ( 8.0%)          I                                           #>                           4. Lichenized                    97 ( 6.8%)          I                                           #>                           5. Plant Pathogen                62 ( 4.4%)                                                      #>                           6. Plant Pathogen-Wood Sapro     39 ( 2.7%)                                                      #>                           7. Animal Pathogen-Dung Sapr     38 ( 2.7%)                                                      #>                           8. Undefined Saprotroph-Wood     31 ( 2.2%)                                                      #>                           9. Fungal Parasite-Undefined     28 ( 2.0%)                                                      #>                           10. Animal Pathogen-Undefined    27 ( 1.9%)                                                      #>                           [ 53 others ]                   275 (19.4%)          III                                         #>  #> 10   Trait                1. -                            358 (25.2%)          IIIII                  1420       0         #>      [character]          2. Brown Rot                     27 ( 1.9%)                                 (100.0%)   (0.0%)    #>                           3. Brown Rot-White Rot            6 ( 0.4%)                                                      #>                           4. Microfungus                    2 ( 0.1%)                                                      #>                           5. NULL                         840 (59.2%)          IIIIIIIIIII                                 #>                           6. Soft Rot                      76 ( 5.4%)          I                                           #>                           7. White Rot                    111 ( 7.8%)          I                                           #>  #> 11   Confidence.Ranking   1. -                            358 (25.2%)          IIIII                  1420       0         #>      [character]          2. Highly Probable              176 (12.4%)          II                     (100.0%)   (0.0%)    #>                           3. Possible                     233 (16.4%)          III                                         #>                           4. Probable                     653 (46.0%)          IIIIIIIII                                   #>  #> 12   Genus_species        1. NA_NA                        410 (28.9%)          IIIII                  1420       0         #>      [character]          2. Coniochaeta_NA                36 ( 2.5%)                                 (100.0%)   (0.0%)    #>                           3. Neocucurbitaria_NA            29 ( 2.0%)                                                      #>                           4. Lentomitella_NA               16 ( 1.1%)                                                      #>                           5. Penicillium_NA                16 ( 1.1%)                                                      #>                           6. Eutypa_spinosa                15 ( 1.1%)                                                      #>                           7. Hyperphyscia_adglutinata      15 ( 1.1%)                                                      #>                           8. Dacrymyces_stenosporus        14 ( 1.0%)                                                      #>                           9. Penicillium_brevicompactu     14 ( 1.0%)                                                      #>                           10. Exophiala_NA                 13 ( 0.9%)                                                      #>                           [ 364 others ]                  842 (59.3%)          IIIIIIIIIII                                 #> -------------------------------------------------------------------------------------------------------------------------- datawizard::data_codebook(tax_tab) #> tax_tab (1420 rows and 12 variables, 12 shown) #>  #> ID | Name               | Type      |    Missings |                                                                                        Values |             N #> ---+--------------------+-----------+-------------+-----------------------------------------------------------------------------------------------+-------------- #> 1  | Domain             | character |    0 (0.0%) |                                                                                         Fungi | 1420 (100.0%) #> ---+--------------------+-----------+-------------+-----------------------------------------------------------------------------------------------+-------------- #> 2  | Phylum             | character |    0 (0.0%) |                                                                                    Ascomycota | 1066 ( 75.1%) #>    |                    |           |             |                                                                                 Basidiomycota |  345 ( 24.3%) #>    |                    |           |             |                                                                            Monoblepharomycota |    1 (  0.1%) #>    |                    |           |             |                                                                             Mortierellomycota |    1 (  0.1%) #>    |                    |           |             |                                                                                  Mucoromycota |    3 (  0.2%) #>    |                    |           |             |                                                                                 Rozellomycota |    4 (  0.3%) #> ---+--------------------+-----------+-------------+-----------------------------------------------------------------------------------------------+-------------- #> 3  | Class              | character |   93 (6.5%) |                                                                                Agaricomycetes |  245 ( 18.5%) #>    |                    |           |             |                                                                          Agaricostilbomycetes |    5 (  0.4%) #>    |                    |           |             |                                                                               Arthoniomycetes |    5 (  0.4%) #>    |                    |           |             |                                                                            Atractiellomycetes |    6 (  0.5%) #>    |                    |           |             |                                                                           Cystobasidiomycetes |    5 (  0.4%) #>    |                    |           |             |                                                                                  Dacrymycetes |   24 (  1.8%) #>    |                    |           |             |                                                                               Dothideomycetes |  207 ( 15.6%) #>    |                    |           |             |                                                                                Eurotiomycetes |  121 (  9.1%) #>    |                    |           |             |                                                                               Lecanoromycetes |  117 (  8.8%) #>    |                    |           |             |                                                                                 Leotiomycetes |  149 ( 11.2%) #>    |                    |           |             |                                                                                         (...) |               #> ---+--------------------+-----------+-------------+-----------------------------------------------------------------------------------------------+-------------- #> 4  | Order              | character | 189 (13.3%) |                                                                                    Agaricales |   43 (  3.5%) #>    |                    |           |             |                                                                              Agaricostilbales |    5 (  0.4%) #>    |                    |           |             |                                                                                Annulatascales |    2 (  0.2%) #>    |                    |           |             |                                                                                   Arthoniales |    3 (  0.2%) #>    |                    |           |             |                                                                                Atractiellales |    6 (  0.5%) #>    |                    |           |             |                                                                                Auriculariales |   31 (  2.5%) #>    |                    |           |             |                                                                             Botryosphaeriales |    5 (  0.4%) #>    |                    |           |             |                                                                                    Caliciales |   25 (  2.0%) #>    |                    |           |             |                                                                               Calosphaeriales |    2 (  0.2%) #>    |                    |           |             |                                                                                 Candelariales |    7 (  0.6%) #>    |                    |           |             |                                                                                         (...) |               #> ---+--------------------+-----------+-------------+-----------------------------------------------------------------------------------------------+-------------- #> 5  | Family             | character | 317 (22.3%) |                                                                 Agaricales_fam_Incertae_sedis |    2 (  0.2%) #>    |                    |           |             |                                                                                   Amanitaceae |    1 (  0.1%) #>    |                    |           |             |                                                                                  Amorosiaceae |   15 (  1.4%) #>    |                    |           |             |                                                                               Annulatascaceae |    2 (  0.2%) #>    |                    |           |             |                                                                                   Aporpiaceae |    1 (  0.1%) #>    |                    |           |             |                                                                                  Ascobolaceae |    1 (  0.1%) #>    |                    |           |             |                                                                                Aspergillaceae |   34 (  3.1%) #>    |                    |           |             |                                                             Atractiellales_fam_Incertae_sedis |    6 (  0.5%) #>    |                    |           |             |                                                                              Aureobasidiaceae |    1 (  0.1%) #>    |                    |           |             |                                                                               Auriculariaceae |    4 (  0.4%) #>    |                    |           |             |                                                                                         (...) |               #> ---+--------------------+-----------+-------------+-----------------------------------------------------------------------------------------------+-------------- #> 6  | Genus              | character | 410 (28.9%) |                                                                                       Absidia |    1 (  0.1%) #>    |                    |           |             |                                                                                 Acanthostigma |    2 (  0.2%) #>    |                    |           |             |                                                                                     Acericola |    3 (  0.3%) #>    |                    |           |             |                                                                           Achroceratosphaeria |    1 (  0.1%) #>    |                    |           |             |                                                                                    Acremonium |    1 (  0.1%) #>    |                    |           |             |                                                                                    Alatospora |    1 (  0.1%) #>    |                    |           |             |                                                                                    Alternaria |    3 (  0.3%) #>    |                    |           |             |                                                                                     Amandinea |    1 (  0.1%) #>    |                    |           |             |                                                                                       Amanita |    1 (  0.1%) #>    |                    |           |             |                                                                                     Amaurodon |    1 (  0.1%) #>    |                    |           |             |                                                                                         (...) |               #> ---+--------------------+-----------+-------------+-----------------------------------------------------------------------------------------------+-------------- #> 7  | Species            | character | 769 (54.2%) |                                                                                      abramsii |    1 (  0.2%) #>    |                    |           |             |                                                                                       acerina |   10 (  1.5%) #>    |                    |           |             |                                                                                     acuminata |    1 (  0.2%) #>    |                    |           |             |                                                                                     acutiseta |    1 (  0.2%) #>    |                    |           |             |                                                                                   adglutinata |   15 (  2.3%) #>    |                    |           |             |                                                                                 aeruginascens |    2 (  0.3%) #>    |                    |           |             |                                                                                       agelaea |    6 (  0.9%) #>    |                    |           |             |                                                                                        albida |    1 (  0.2%) #>    |                    |           |             |                                                                                   albohyalina |    3 (  0.5%) #>    |                    |           |             |                                                                                         album |    4 (  0.6%) #>    |                    |           |             |                                                                                         (...) |               #> ---+--------------------+-----------+-------------+-----------------------------------------------------------------------------------------------+-------------- #> 8  | Trophic.Mode       | character |    0 (0.0%) |                                                                                             - |  358 ( 25.2%) #>    |                    |           |             |                                                                                    Pathotroph |   82 (  5.8%) #>    |                    |           |             |                                                                         Pathotroph-Saprotroph |  137 (  9.6%) #>    |                    |           |             |                                                             Pathotroph-Saprotroph-Symbiotroph |  104 (  7.3%) #>    |                    |           |             |                                                                        Pathotroph-Symbiotroph |   15 (  1.1%) #>    |                    |           |             |                                                                                    Saprotroph |  531 ( 37.4%) #>    |                    |           |             |                                                                        Saprotroph-Symbiotroph |   47 (  3.3%) #>    |                    |           |             |                                                                                   Symbiotroph |  146 ( 10.3%) #> ---+--------------------+-----------+-------------+-----------------------------------------------------------------------------------------------+-------------- #> 9  | Guild              | character |    0 (0.0%) |                                                                                             - |  358 ( 25.2%) #>    |                    |           |             |                                                                           Animal Endosymbiont |    7 (  0.5%) #>    |                    |           |             |                                                      Animal Endosymbiont-Undefined Saprotroph |    1 (  0.1%) #>    |                    |           |             |                                                                               Animal Pathogen |    2 (  0.1%) #>    |                    |           |             |           Animal Pathogen-Dung Saprotroph-Endophyte-Epiphyte-Plant Saprotroph-Wood Saprotroph |    1 (  0.1%) #>    |                    |           |             | Animal Pathogen-Dung Saprotroph-Endophyte-Lichen Parasite-Plant Pathogen-Undefined Saprotroph |   38 (  2.7%) #>    |                    |           |             |                        Animal Pathogen-Endophyte-Epiphyte-Plant Pathogen-Undefined Saprotroph |    1 (  0.1%) #>    |                    |           |             |                  Animal Pathogen-Endophyte-Ericoid Mycorrhizal-Plant Pathogen-Wood Saprotroph |    1 (  0.1%) #>    |                    |           |             |                      Animal Pathogen-Endophyte-Fungal Parasite-Plant Pathogen-Wood Saprotroph |    1 (  0.1%) #>    |                    |           |             |                      Animal Pathogen-Endophyte-Lichen Parasite-Plant Pathogen-Wood Saprotroph |   19 (  1.3%) #>    |                    |           |             |                                                                                         (...) |               #> ---+--------------------+-----------+-------------+-----------------------------------------------------------------------------------------------+-------------- #> 10 | Trait              | character |    0 (0.0%) |                                                                                             - |  358 ( 25.2%) #>    |                    |           |             |                                                                                     Brown Rot |   27 (  1.9%) #>    |                    |           |             |                                                                           Brown Rot-White Rot |    6 (  0.4%) #>    |                    |           |             |                                                                                   Microfungus |    2 (  0.1%) #>    |                    |           |             |                                                                                          NULL |  840 ( 59.2%) #>    |                    |           |             |                                                                                      Soft Rot |   76 (  5.4%) #>    |                    |           |             |                                                                                     White Rot |  111 (  7.8%) #> ---+--------------------+-----------+-------------+-----------------------------------------------------------------------------------------------+-------------- #> 11 | Confidence.Ranking | character |    0 (0.0%) |                                                                                             - |  358 ( 25.2%) #>    |                    |           |             |                                                                               Highly Probable |  176 ( 12.4%) #>    |                    |           |             |                                                                                      Possible |  233 ( 16.4%) #>    |                    |           |             |                                                                                      Probable |  653 ( 46.0%) #> ---+--------------------+-----------+-------------+-----------------------------------------------------------------------------------------------+-------------- #> 12 | Genus_species      | character |    0 (0.0%) |                                                                                Absidia_glauca |    1 (  0.1%) #>    |                    |           |             |                                                                     Acanthostigma_perpusillum |    2 (  0.1%) #>    |                    |           |             |                                                                             Acericola_italica |    3 (  0.2%) #>    |                    |           |             |                                                                   Achroceratosphaeria_potamia |    1 (  0.1%) #>    |                    |           |             |                                                                        Acremonium_hennebertii |    1 (  0.1%) #>    |                    |           |             |                                                                                 Alatospora_NA |    1 (  0.1%) #>    |                    |           |             |                                                                     Alternaria_metachromatica |    1 (  0.1%) #>    |                    |           |             |                                                                                 Alternaria_NA |    2 (  0.1%) #>    |                    |           |             |                                                                            Amandinea_punctata |    1 (  0.1%) #>    |                    |           |             |                                                                              Amanita_sepiacea |    1 (  0.1%) #>    |                    |           |             |                                                                                         (...) |               #> ----------------------------------------------------------------------------------------------------------------------------------------------------------------- pillar::glimpse(tax_tab) #> Rows: 1,420 #> Columns: 12 #> $ Domain             <chr> \"Fungi\", \"Fungi\", \"Fungi\", \"Fungi\", \"Fungi\", \"Fungi… #> $ Phylum             <chr> \"Ascomycota\", \"Ascomycota\", \"Basidiomycota\", \"Basid… #> $ Class              <chr> \"Sordariomycetes\", \"Sordariomycetes\", \"Agaricomycet… #> $ Order              <chr> \"Xylariales\", \"Xylariales\", \"Russulales\", \"Russulal… #> $ Family             <chr> \"Diatrypaceae\", \"Xylariaceae\", \"Stereaceae\", \"Stere… #> $ Genus              <chr> \"Eutypa\", \"Xylaria\", NA, \"Stereum\", NA, \"Xylodon\", … #> $ Species            <chr> \"spinosa\", NA, NA, \"ostrea\", NA, \"raduloides\", NA, … #> $ Trophic.Mode       <chr> \"Pathotroph\", \"Saprotroph-Symbiotroph\", \"Saprotroph… #> $ Guild              <chr> \"Plant Pathogen\", \"Endophyte-Undefined Saprotroph-W… #> $ Trait              <chr> \"NULL\", \"Soft Rot\", \"NULL\", \"White Rot\", \"-\", \"Whit… #> $ Confidence.Ranking <chr> \"Probable\", \"Probable\", \"Probable\", \"Probable\", \"-\"… #> $ Genus_species      <chr> \"Eutypa_spinosa\", \"Xylaria_NA\", \"NA_NA\", \"Stereum_o… pointblank::scan_data(tax_tab, sections = \"OVSCM\") pointblank::create_informant(   tbl = tax_tab,   tbl_name = \"Taxonomic table\",   label = \"data_fungi\" ) gtExtras::gt_plt_summary(tax_tab) fungi_order <- tax_glom(data_fungi, taxrank = \"Order\") taxa_names(fungi_order) <- fungi_order@tax_table[, \"Order\"] heatmap(fungi_order@otu_table)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/explore_data.html","id":null,"dir":"Articles","previous_headings":"","what":"explore_data","title":"explore_data","text":"Overview Reproducibility Table Overview Columns Rows NAs Duplicate Rows Column Types Reproducibility Information Scan Build Time 2024-02-09 14:27:25 pointblank Version 0.11.4 R Version R version 4.3.2 (2023–10–31)Eye Holes Operating System x86_64-pc-linux-gnu","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/explore_data.html","id":null,"dir":"Articles","previous_headings":"","what":"explore_data","title":"explore_data","text":"Domain  character Distinct NAs Inf/-Inf Common Values String Lengths  Values (0) String Lengths Histogram Phylum  character Distinct NAs Inf/-Inf Common Values String Lengths  Values (0) String Lengths Histogram Class  character Distinct NAs Inf/-Inf Common Values String Lengths  Values (74) String Lengths Histogram Order  character Distinct NAs Inf/-Inf Common Values String Lengths  Values (629) String Lengths Histogram Family  character Distinct NAs Inf/-Inf Common Values String Lengths  Values (780) String Lengths Histogram Genus  character Distinct NAs Inf/-Inf Common Values String Lengths  Values (790) String Lengths Histogram Species  character Distinct NAs Inf/-Inf Common Values String Lengths  Values (535) String Lengths Histogram Trophic.Mode  character Distinct NAs Inf/-Inf Common Values String Lengths  Values (0) String Lengths Histogram Guild  character Distinct NAs Inf/-Inf Common Values String Lengths  Values (275) String Lengths Histogram Trait  character Distinct NAs Inf/-Inf Common Values String Lengths  Values (0) String Lengths Histogram Confidence.Ranking  character Distinct NAs Inf/-Inf Common Values String Lengths  Values (0) String Lengths Histogram Genus_species  character Distinct NAs Inf/-Inf Common Values String Lengths  Values (842) String Lengths Histogram","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/explore_data.html","id":null,"dir":"Articles","previous_headings":"","what":"explore_data","title":"explore_data","text":"Pearson Kendall Spearman","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/explore_data.html","id":"session-information","dir":"Articles","previous_headings":"","what":"Session information","title":"explore_data","text":"","code":"sessionInfo() #> R version 4.3.2 (2023-10-31) #> Platform: x86_64-pc-linux-gnu (64-bit) #> Running under: Ubuntu 22.04.3 LTS #>  #> Matrix products: default #> BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3  #> LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so;  LAPACK version 3.10.0 #>  #> locale: #>  [1] LC_CTYPE=C.UTF-8       LC_NUMERIC=C           LC_TIME=C.UTF-8        #>  [4] LC_COLLATE=C.UTF-8     LC_MONETARY=C.UTF-8    LC_MESSAGES=C.UTF-8    #>  [7] LC_PAPER=C.UTF-8       LC_NAME=C              LC_ADDRESS=C           #> [10] LC_TELEPHONE=C         LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C    #>  #> time zone: UTC #> tzcode source: system (glibc) #>  #> attached base packages: #> [1] stats     graphics  grDevices utils     datasets  methods   base      #>  #> other attached packages: #> [1] MiscMetabar_0.7.4 dplyr_1.1.4       dada2_1.30.0      Rcpp_1.0.12       #> [5] ggplot2_3.4.4     phyloseq_1.46.0   #>  #> loaded via a namespace (and not attached): #>   [1] RColorBrewer_1.1-3          gtExtras_0.5.0              #>   [3] jsonlite_1.8.8              datawizard_0.9.1            #>   [5] magrittr_2.0.3              magick_2.8.2                #>   [7] farver_2.1.1                rmarkdown_2.25              #>   [9] fs_1.6.3                    zlibbioc_1.48.0             #>  [11] ragg_1.2.7                  vctrs_0.6.5                 #>  [13] multtest_2.58.0             memoise_2.0.1               #>  [15] Rsamtools_2.18.0            paletteer_1.6.0             #>  [17] RCurl_1.98-1.14             base64enc_0.1-3             #>  [19] htmltools_0.5.7             S4Arrays_1.2.0              #>  [21] Rhdf5lib_1.24.2             SparseArray_1.2.3           #>  [23] rhdf5_2.46.1                sass_0.4.8                  #>  [25] bslib_0.6.1                 fontawesome_0.5.2           #>  [27] desc_1.4.3                  plyr_1.8.9                  #>  [29] lubridate_1.9.3             cachem_1.0.8                #>  [31] gt_0.10.1                   commonmark_1.9.1            #>  [33] GenomicAlignments_1.38.2    igraph_2.0.1.1              #>  [35] lifecycle_1.0.4             iterators_1.0.14            #>  [37] pkgconfig_2.0.3             Matrix_1.6-1.1              #>  [39] R6_2.5.1                    fastmap_1.1.1               #>  [41] GenomeInfoDbData_1.2.11     MatrixGenerics_1.14.0       #>  [43] digest_0.6.34               colorspace_2.1-0            #>  [45] rematch2_2.1.2              ShortRead_1.60.0            #>  [47] S4Vectors_0.40.2            textshaping_0.3.7           #>  [49] GenomicRanges_1.54.1        hwriter_1.3.2.1             #>  [51] vegan_2.6-4                 labeling_0.4.3              #>  [53] fansi_1.0.6                 timechange_0.3.0            #>  [55] polyclip_1.10-6             abind_1.4-5                 #>  [57] mgcv_1.9-0                  compiler_4.3.2              #>  [59] withr_3.0.0                 pander_0.6.5                #>  [61] backports_1.4.1             BiocParallel_1.36.0         #>  [63] highr_0.10                  ggforce_0.4.1               #>  [65] MASS_7.3-60                 DelayedArray_0.28.0         #>  [67] biomformat_1.30.0           permute_0.9-7               #>  [69] tools_4.3.2                 ape_5.7-1                   #>  [71] glue_1.7.0                  nlme_3.1-163                #>  [73] rhdf5filters_1.14.1         grid_4.3.2                  #>  [75] checkmate_2.3.1             cluster_2.1.4               #>  [77] reshape2_1.4.4              ade4_1.7-22                 #>  [79] generics_0.1.3              isoband_0.2.7               #>  [81] gtable_0.3.4                tzdb_0.4.0                  #>  [83] tidyr_1.3.1                 hms_1.1.3                   #>  [85] data.table_1.15.0           xml2_1.3.6                  #>  [87] utf8_1.2.4                  XVector_0.42.0              #>  [89] BiocGenerics_0.48.1         markdown_1.12               #>  [91] foreach_1.5.2               pillar_1.9.0                #>  [93] stringr_1.5.1               splines_4.3.2               #>  [95] tweenr_2.0.2                pryr_0.1.6                  #>  [97] lattice_0.21-9              survival_3.5-7              #>  [99] deldir_2.0-2                tidyselect_1.2.0            #> [101] Biostrings_2.70.2           knitr_1.45                  #> [103] IRanges_2.36.0              SummarizedExperiment_1.32.0 #> [105] svglite_2.1.3               stats4_4.3.2                #> [107] xfun_0.41                   Biobase_2.62.0              #> [109] rapportools_1.1             matrixStats_1.2.0           #> [111] stringi_1.8.3               yaml_2.3.8                  #> [113] evaluate_0.23               codetools_0.2-19            #> [115] interp_1.1-6                tcltk_4.3.2                 #> [117] tibble_3.2.1                cli_3.6.2                   #> [119] blastula_0.3.4              RcppParallel_5.1.7          #> [121] systemfonts_1.0.5           munsell_0.5.0               #> [123] jquerylib_0.1.4             GenomeInfoDb_1.38.5         #> [125] pointblank_0.11.4           summarytools_1.0.1          #> [127] png_0.1-8                   parallel_4.3.2              #> [129] readr_2.1.5                 pkgdown_2.0.7               #> [131] latticeExtra_0.6-30         jpeg_0.1-10                 #> [133] bitops_1.0-7                scales_1.3.0                #> [135] insight_0.19.8              purrr_1.0.2                 #> [137] crayon_1.5.2                rlang_1.1.3"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/filter.html","id":"filter-samples","dir":"Articles","previous_headings":"","what":"Filter samples","title":"Filter","text":"Phyloseq package already propose function select samples (subset_samples()), case, subset internal function painful. MiscMetabar propose complementary function ([subset_samples_pq()]) versatile need used caution order condition must match orders samples.","code":"data(data_fungi) cond_samp <- grepl(\"A1\", data_fungi@sam_data[[\"Sample_names\"]]) subset_samples_pq(data_fungi, cond_samp) #> phyloseq-class experiment-level object #> otu_table()   OTU Table:         [ 1420 taxa and 9 samples ] #> sample_data() Sample Data:       [ 9 samples by 7 sample variables ] #> tax_table()   Taxonomy Table:    [ 1420 taxa by 12 taxonomic ranks ] #> refseq()      DNAStringSet:      [ 1420 reference sequences ]"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/filter.html","id":"filter-taxa-using-conditions","dir":"Articles","previous_headings":"Filter Taxa","what":"Filter taxa using condition(s)","title":"Filter","text":"Phyloseq package already propose function select samples (subset_taxa()), case, subset internal function painful. MiscMetabar propose complementary function ([subset_taxa_pq()]) versatile based names taxa match condition taxa phyloseq object. example code , filter fungi Phylum “Basidiomycota” using phyloseq::subset_taxa() select taxa 1000 nb_sequences using subset_taxa_pq().","code":"df_basidio <- subset_taxa(data_fungi, Phylum == \"Basidiomycota\") df_basidio_abundant <- subset_taxa_pq(   df_basidio,   colSums(df_basidio@otu_table) > 1000 )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/filter.html","id":"filter-taxa-using-blast-score-against-a-database","dir":"Articles","previous_headings":"Filter Taxa","what":"Filter taxa using blast score against a database","title":"Filter","text":"cases, want select given clade taxon. One solution select taxa information given taxonomic assignment (e.g. using function dada2::assignTaxonomy()). However, cases, information lead false positive false negative selection. MiscMetabar implement method relying blast software (Altschul et al. 1990 & 1997) database. idea set cutoff four parameters select taxa close enough sequences database : id_filter (default: 90) cut identity percent keep result. bit_score_filter (default: 50) cut bit score keep result. higher bit-score, better sequence similarity. bit-score requires size sequence database current match found just chance. bit-score log2 scaled normalized raw-score. increase one doubles required database size (2bit-score). min_cover_filter (default: 50) cut query cover (%) keep result. e_value_filter (default: 1e-30) cut e-value (%) keep result. BLAST E-value number expected hits similar quality (score) found just chance.","code":"path_db <- system.file(\"extdata\",   \"100_sp_UNITE_sh_general_release_dynamic.fasta\",   package = \"MiscMetabar\", mustWork = TRUE )  suppressWarnings(blast_error_or_not <-   try(system(\"blastn 2>&1\", intern = TRUE), silent = TRUE))  if (!is(blast_error_or_not, \"try-error\")) {   df_blast_80 <- filter_asv_blast(df_basidio, fasta_for_db = path_db)   df_blast_50 <- filter_asv_blast(df_basidio,     fasta_for_db = path_db,     id_filter = 50, e_value_filter = 10,     bit_score_filter = 20, min_cover_filter = 20   )    track_formattable <-     track_wkflow(       list(         \"raw data\" = df_basidio,         \"id_filter = 80\" = df_blast_80,         \"id_filter = 50\" = df_blast_50       )     ) } if (!is(blast_error_or_not, \"try-error\")) {   formattable(     track_formattable,     list(       area(col = nb_sequences) ~ color_bar(\"cyan\", na.rm = TRUE),       area(col = nb_clusters) ~ normalize_bar(\"yellowgreen\",         na.rm = TRUE, min = 0.3       ),       area(col = nb_samples) ~ normalize_bar(\"lightpink\",         na.rm = TRUE, min = 0.3       )     )   ) }"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/filter.html","id":"filter-taxa-using-a-known-taxa-for-control","dir":"Articles","previous_headings":"Filter Taxa","what":"Filter taxa using a known taxa for control","title":"Filter","text":"filter contamination, one solution add proportion known taxa present environment study. case can define threshold sample discard taxon based pseudo-abundance. example code , select taxon using ASV_50 control 6 different algorithms.","code":"res_seq <-   suppressWarnings(     subset_taxa_tax_control(data_fungi, as.numeric(data_fungi@otu_table[, 50]),       method = \"cutoff_seq\"     )   ) res_mixt <-   suppressWarnings(     subset_taxa_tax_control(data_fungi, as.numeric(data_fungi@otu_table[, 50]),       method = \"cutoff_mixt\"     )   ) res_diff <- suppressWarnings(   subset_taxa_tax_control(     data_fungi,     as.numeric(data_fungi@otu_table[, 50]),     method = \"cutoff_diff\",     min_diff_for_cutoff = 2   ) ) res_min <-   suppressWarnings(     subset_taxa_tax_control(       data_fungi,       as.numeric(data_fungi@otu_table[, 50]),       method = \"min\",       min_diff_for_cutoff = 2     )   ) res_max <-   suppressWarnings(     subset_taxa_tax_control(       data_fungi,       as.numeric(data_fungi@otu_table[, 50]),       method = \"max\",       min_diff_for_cutoff = 2     )   ) res_mean <-   suppressWarnings(     subset_taxa_tax_control(       data_fungi,       as.numeric(data_fungi@otu_table[, 50]),       method = \"mean\",       min_diff_for_cutoff = 2     )   ) track_formattable <- track_wkflow(list(   \"raw data\" = data_fungi,   \"cutoff_seq\" = res_seq,   \"cutoff_mixt\" = res_mixt,   \"cutoff_diff\" = res_diff,   \"min\" = res_min,   \"max\" = res_max,   \"mean\" = res_mean ))  formattable(   track_formattable,   list(     area(col = nb_sequences) ~ color_bar(\"cyan\"),     area(col = nb_clusters) ~ normalize_bar(\"yellowgreen\",       na.rm = TRUE,       min = 0.3     ),     area(col = nb_samples) ~ normalize_bar(\"lightpink\", na.rm = TRUE)   ) )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/filter.html","id":"session-information","dir":"Articles","previous_headings":"","what":"Session information","title":"Filter","text":"","code":"sessionInfo() #> R version 4.3.2 (2023-10-31) #> Platform: x86_64-pc-linux-gnu (64-bit) #> Running under: Ubuntu 22.04.3 LTS #>  #> Matrix products: default #> BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3  #> LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so;  LAPACK version 3.10.0 #>  #> locale: #>  [1] LC_CTYPE=C.UTF-8       LC_NUMERIC=C           LC_TIME=C.UTF-8        #>  [4] LC_COLLATE=C.UTF-8     LC_MONETARY=C.UTF-8    LC_MESSAGES=C.UTF-8    #>  [7] LC_PAPER=C.UTF-8       LC_NAME=C              LC_ADDRESS=C           #> [10] LC_TELEPHONE=C         LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C    #>  #> time zone: UTC #> tzcode source: system (glibc) #>  #> attached base packages: #> [1] stats     graphics  grDevices utils     datasets  methods   base      #>  #> other attached packages: #> [1] formattable_0.2.1 MiscMetabar_0.7.4 dplyr_1.1.4       dada2_1.30.0      #> [5] Rcpp_1.0.12       ggplot2_3.4.4     phyloseq_1.46.0   #>  #> loaded via a namespace (and not attached): #>   [1] bitops_1.0-7                pbapply_1.7-2               #>   [3] deldir_2.0-2                permute_0.9-7               #>   [5] rlang_1.1.3                 magrittr_2.0.3              #>   [7] ade4_1.7-22                 matrixStats_1.2.0           #>   [9] compiler_4.3.2              mgcv_1.9-0                  #>  [11] png_0.1-8                   systemfonts_1.0.5           #>  [13] vctrs_0.6.5                 reshape2_1.4.4              #>  [15] stringr_1.5.1               pkgconfig_2.0.3             #>  [17] crayon_1.5.2                fastmap_1.1.1               #>  [19] XVector_0.42.0              utf8_1.2.4                  #>  [21] Rsamtools_2.18.0            rmarkdown_2.25              #>  [23] ragg_1.2.7                  purrr_1.0.2                 #>  [25] xfun_0.41                   zlibbioc_1.48.0             #>  [27] cachem_1.0.8                GenomeInfoDb_1.38.5         #>  [29] jsonlite_1.8.8              biomformat_1.30.0           #>  [31] rhdf5filters_1.14.1         DelayedArray_0.28.0         #>  [33] Rhdf5lib_1.24.2             BiocParallel_1.36.0         #>  [35] jpeg_0.1-10                 parallel_4.3.2              #>  [37] cluster_2.1.4               R6_2.5.1                    #>  [39] bslib_0.6.1                 stringi_1.8.3               #>  [41] RColorBrewer_1.1-3          GenomicRanges_1.54.1        #>  [43] jquerylib_0.1.4             SummarizedExperiment_1.32.0 #>  [45] iterators_1.0.14            knitr_1.45                  #>  [47] mixtools_2.0.0              IRanges_2.36.0              #>  [49] Matrix_1.6-1.1              splines_4.3.2               #>  [51] igraph_2.0.1.1              tidyselect_1.2.0            #>  [53] abind_1.4-5                 yaml_2.3.8                  #>  [55] vegan_2.6-4                 codetools_0.2-19            #>  [57] hwriter_1.3.2.1             lattice_0.21-9              #>  [59] tibble_3.2.1                plyr_1.8.9                  #>  [61] Biobase_2.62.0              withr_3.0.0                 #>  [63] ShortRead_1.60.0            evaluate_0.23               #>  [65] desc_1.4.3                  survival_3.5-7              #>  [67] RcppParallel_5.1.7          kernlab_0.9-32              #>  [69] Biostrings_2.70.2           pillar_1.9.0                #>  [71] MatrixGenerics_1.14.0       foreach_1.5.2               #>  [73] stats4_4.3.2                plotly_4.10.4               #>  [75] generics_0.1.3              RCurl_1.98-1.14             #>  [77] S4Vectors_0.40.2            munsell_0.5.0               #>  [79] scales_1.3.0                glue_1.7.0                  #>  [81] lazyeval_0.2.2              tools_4.3.2                 #>  [83] interp_1.1-6                data.table_1.15.0           #>  [85] GenomicAlignments_1.38.2    fs_1.6.3                    #>  [87] rhdf5_2.46.1                grid_4.3.2                  #>  [89] tidyr_1.3.1                 ape_5.7-1                   #>  [91] latticeExtra_0.6-30         colorspace_2.1-0            #>  [93] nlme_3.1-163                GenomeInfoDbData_1.2.11     #>  [95] cli_3.6.2                   textshaping_0.3.7           #>  [97] fansi_1.0.6                 segmented_2.0-2             #>  [99] viridisLite_0.4.2           S4Arrays_1.2.0              #> [101] gtable_0.3.4                sass_0.4.8                  #> [103] digest_0.6.34               BiocGenerics_0.48.1         #> [105] SparseArray_1.2.3           htmlwidgets_1.6.4           #> [107] memoise_2.0.1               htmltools_0.5.7             #> [109] pkgdown_2.0.7               multtest_2.58.0             #> [111] lifecycle_1.0.4             httr_1.4.7                  #> [113] MASS_7.3-60"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/import_export_track.html","id":"export-phyloseq-object","dir":"Articles","previous_headings":"","what":"Export phyloseq object","title":"import_export_track","text":"can export phyloseq object csv (txt phylogenetic tree) files folder. possible export table one file merge slot (except phytree) one file (args one_file = TRUE). Finally, rdata set TRUE, rdata file containing phyloseq object also writed. Finally, can use function save_pq() write phyloseq object 3 versions (one table slot, file merging slot Rdata file).","code":"write_pq(data_fungi, path = \"fungi_phyloseq\") write_pq(data_fungi, path = \"fungi_phyloseq\", one_file = TRUE) write_pq(data_fungi, path = \"fungi_phyloseq\", rdata = TRUE) save_pq(data_fungi)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/import_export_track.html","id":"import","dir":"Articles","previous_headings":"","what":"Import","title":"import_export_track","text":"import Rdata file, just use load() base function. order import phyloseq object folder create using write_pq() save_pq(), please use function read_pq().","code":"d <- read_pq(path = \"fungi_phyloseq\")"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/import_export_track.html","id":"tracking-sequences-clusters-and-samples","dir":"Articles","previous_headings":"","what":"Tracking sequences, clusters and samples","title":"import_export_track","text":"bioinformatic pipeline, often need track number samples, sequences clusters across step pipeline. MiscMetabar propose two utilities achieve goal : track_wkflow() version compute value per samples : track_wkflow_samples(). function track_wkflow() can deal () fastq fastg.gz files, dada-class object, derep-class object, matrix samples x clusters (e.g. otu_table) phyloseq-class object.","code":"track_wkflow(list(data_fungi, data_fungi_sp_known)) #>   nb_sequences nb_clusters nb_samples #> 1      1839124        1420        185 #> 2      1106581         651        185"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/import_export_track.html","id":"session-information","dir":"Articles","previous_headings":"","what":"Session information","title":"import_export_track","text":"","code":"sessionInfo() #> R version 4.3.2 (2023-10-31) #> Platform: x86_64-pc-linux-gnu (64-bit) #> Running under: Ubuntu 22.04.3 LTS #>  #> Matrix products: default #> BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3  #> LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so;  LAPACK version 3.10.0 #>  #> locale: #>  [1] LC_CTYPE=C.UTF-8       LC_NUMERIC=C           LC_TIME=C.UTF-8        #>  [4] LC_COLLATE=C.UTF-8     LC_MONETARY=C.UTF-8    LC_MESSAGES=C.UTF-8    #>  [7] LC_PAPER=C.UTF-8       LC_NAME=C              LC_ADDRESS=C           #> [10] LC_TELEPHONE=C         LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C    #>  #> time zone: UTC #> tzcode source: system (glibc) #>  #> attached base packages: #> [1] stats     graphics  grDevices utils     datasets  methods   base      #>  #> other attached packages: #> [1] formattable_0.2.1 MiscMetabar_0.7.4 dplyr_1.1.4       dada2_1.30.0      #> [5] Rcpp_1.0.12       ggplot2_3.4.4     phyloseq_1.46.0   #>  #> loaded via a namespace (and not attached): #>   [1] bitops_1.0-7                pbapply_1.7-2               #>   [3] deldir_2.0-2                permute_0.9-7               #>   [5] rlang_1.1.3                 magrittr_2.0.3              #>   [7] ade4_1.7-22                 matrixStats_1.2.0           #>   [9] compiler_4.3.2              mgcv_1.9-0                  #>  [11] png_0.1-8                   systemfonts_1.0.5           #>  [13] vctrs_0.6.5                 reshape2_1.4.4              #>  [15] stringr_1.5.1               pkgconfig_2.0.3             #>  [17] crayon_1.5.2                fastmap_1.1.1               #>  [19] XVector_0.42.0              utf8_1.2.4                  #>  [21] Rsamtools_2.18.0            rmarkdown_2.25              #>  [23] ragg_1.2.7                  purrr_1.0.2                 #>  [25] xfun_0.41                   zlibbioc_1.48.0             #>  [27] cachem_1.0.8                GenomeInfoDb_1.38.5         #>  [29] jsonlite_1.8.8              biomformat_1.30.0           #>  [31] rhdf5filters_1.14.1         DelayedArray_0.28.0         #>  [33] Rhdf5lib_1.24.2             BiocParallel_1.36.0         #>  [35] jpeg_0.1-10                 parallel_4.3.2              #>  [37] cluster_2.1.4               R6_2.5.1                    #>  [39] bslib_0.6.1                 stringi_1.8.3               #>  [41] RColorBrewer_1.1-3          GenomicRanges_1.54.1        #>  [43] jquerylib_0.1.4             SummarizedExperiment_1.32.0 #>  [45] iterators_1.0.14            knitr_1.45                  #>  [47] IRanges_2.36.0              Matrix_1.6-1.1              #>  [49] splines_4.3.2               igraph_2.0.1.1              #>  [51] tidyselect_1.2.0            abind_1.4-5                 #>  [53] yaml_2.3.8                  vegan_2.6-4                 #>  [55] codetools_0.2-19            hwriter_1.3.2.1             #>  [57] lattice_0.21-9              tibble_3.2.1                #>  [59] plyr_1.8.9                  Biobase_2.62.0              #>  [61] withr_3.0.0                 ShortRead_1.60.0            #>  [63] evaluate_0.23               desc_1.4.3                  #>  [65] survival_3.5-7              RcppParallel_5.1.7          #>  [67] Biostrings_2.70.2           pillar_1.9.0                #>  [69] MatrixGenerics_1.14.0       foreach_1.5.2               #>  [71] stats4_4.3.2                generics_0.1.3              #>  [73] RCurl_1.98-1.14             S4Vectors_0.40.2            #>  [75] munsell_0.5.0               scales_1.3.0                #>  [77] glue_1.7.0                  tools_4.3.2                 #>  [79] interp_1.1-6                data.table_1.15.0           #>  [81] GenomicAlignments_1.38.2    fs_1.6.3                    #>  [83] rhdf5_2.46.1                grid_4.3.2                  #>  [85] ape_5.7-1                   latticeExtra_0.6-30         #>  [87] colorspace_2.1-0            nlme_3.1-163                #>  [89] GenomeInfoDbData_1.2.11     cli_3.6.2                   #>  [91] textshaping_0.3.7           fansi_1.0.6                 #>  [93] S4Arrays_1.2.0              gtable_0.3.4                #>  [95] sass_0.4.8                  digest_0.6.34               #>  [97] BiocGenerics_0.48.1         SparseArray_1.2.3           #>  [99] htmlwidgets_1.6.4           memoise_2.0.1               #> [101] htmltools_0.5.7             pkgdown_2.0.7               #> [103] multtest_2.58.0             lifecycle_1.0.4             #> [105] MASS_7.3-60"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/states_of_fields_in_R.html","id":"state-of-the-field-in-r","dir":"Articles","previous_headings":"","what":"State of the Field in R","title":"Metabarcoding with R","text":"metabarcoding ecosystem R language mature, well-constructed, relies active community bioconductor cran projects. bioconductor even creates specific task views Metagenomics Microbiome. R package dada2 (Callahan et al. 2016) provides highly cited recommended clustering method (Pauvert et al. 2019). dada2 also provides tools complete metabarcoding analysis pipeline, including chimera detection taxonomic assignment. phyloseq (McMurdie Holmes 2013) (https://bioconductor.org/packages/release/bioc/html/phyloseq.html) facilitate metagenomics analysis providing way store data (phyloseq class) graphical statistical functions. phyloseq package introduces S4 class object (class physeq), contains () OTU sample matrix, (ii) taxonomic table, (iii) sample metadata table, two optional slots (iv) phylogenetic tree (v) reference sequences. packages already extend phyloseq packages. example, microbiome package collection (Ernst et al. 2023) provides scripts functions manipulating microbiome datasets.speedyseq package (McLaren 2020) provides faster versions phyloseq’s plotting taxonomic merging functions, ([merge_samples2()] [merge_taxa_vec()]) integrated MiscMetabar (thanks Mike. R. McLaren). phylosmith Smith (2023) package already provides functions extend simplify use phyloseq packages. packages (mia forming microbiome package collection MicrobiotaProcess (Xu et al. 2023)) extend new data structure using comprehensive Bioconductor ecosystem SummarizedExperiment family. MiscMetabar enriches R ecosystem providing functions () describe dataset visually, (ii) transform data, (iii) explore biological diversity (alpha, beta, taxonomic diversity), (iv) simplify reproducibility. MiscMetabar designed complement compete R packages mentioned . example. mia package recommended studies focusing phylogenetic trees, phylosmith allows easy visualization co-occurrence networks. Using MicrobiotaProcess::.MPSE function, utilities MicrobiotaProcess package available functions MiscMetabar. try reinvent wheel prefer rely existing packages classes rather building new framework. MiscMetabar based phyloseq class phyloseq, cited package metagenomics (Wen et al. 2023). description comparison integrated packages competing phyloseq (e.g. microeco C. Liu et al. (2020), EasyAmplicon Y.-X. Liu et al. (2023) MicrobiomeAnalystR Lu et al. (2023)) see Wen et al. (2023). Note limitations phyloseq packages circumvented thanks phylosmith (Smith 2023), microViz ((Barnett, Arts, Penders 2021)) MiscMetabar. packages provide interactive interface useful rapid exploration code-beginner biologists. Animalcules (Zhao et al. 2021) microViz (Barnett, Arts, Penders 2021) provides shiny interactive interface whereas MicrobiomeAnalystR (Lu et al. 2023) web-based platform.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/states_of_fields_in_R.html","id":"session-information","dir":"Articles","previous_headings":"","what":"Session information","title":"Metabarcoding with R","text":"","code":"sessionInfo() ## R version 4.3.2 (2023-10-31) ## Platform: x86_64-pc-linux-gnu (64-bit) ## Running under: Ubuntu 22.04.3 LTS ##  ## Matrix products: default ## BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3  ## LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so;  LAPACK version 3.10.0 ##  ## locale: ##  [1] LC_CTYPE=C.UTF-8       LC_NUMERIC=C           LC_TIME=C.UTF-8        ##  [4] LC_COLLATE=C.UTF-8     LC_MONETARY=C.UTF-8    LC_MESSAGES=C.UTF-8    ##  [7] LC_PAPER=C.UTF-8       LC_NAME=C              LC_ADDRESS=C           ## [10] LC_TELEPHONE=C         LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C    ##  ## time zone: UTC ## tzcode source: system (glibc) ##  ## attached base packages: ## [1] stats     graphics  grDevices utils     datasets  methods   base      ##  ## loaded via a namespace (and not attached): ##  [1] vctrs_0.6.5       cli_3.6.2         knitr_1.45        rlang_1.1.3       ##  [5] xfun_0.41         stringi_1.8.3     purrr_1.0.2       textshaping_0.3.7 ##  [9] jsonlite_1.8.8    glue_1.7.0        htmltools_0.5.7   ragg_1.2.7        ## [13] sass_0.4.8        rmarkdown_2.25    evaluate_0.23     jquerylib_0.1.4   ## [17] fastmap_1.1.1     yaml_2.3.8        lifecycle_1.0.4   memoise_2.0.1     ## [21] stringr_1.5.1     compiler_4.3.2    fs_1.6.3          systemfonts_1.0.5 ## [25] digest_0.6.34     R6_2.5.1          magrittr_2.0.3    bslib_0.6.1       ## [29] tools_4.3.2       pkgdown_2.0.7     cachem_1.0.8      desc_1.4.3"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/tengeler.html","id":"load-library","dir":"Articles","previous_headings":"","what":"Load library","title":"tengeler","text":"","code":"library(\"MicrobiotaProcess\") #> Warning: replacing previous import 'S4Arrays::makeNindexFromArrayViewport' by #> 'DelayedArray::makeNindexFromArrayViewport' when loading 'SummarizedExperiment' library(\"MiscMetabar\") library(\"ggplot2\") library(\"patchwork\") library(\"iNEXT\") ?Tengeler2020"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/tengeler.html","id":"import-dataset-in-phyloseq-format","dir":"Articles","previous_headings":"","what":"Import dataset in phyloseq format","title":"tengeler","text":"","code":"data(Tengeler2020_pq) ten <- Tengeler2020_pq summary_plot_pq(ten)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/tengeler.html","id":"alpha-diversity-analysis","dir":"Articles","previous_headings":"","what":"Alpha-diversity analysis","title":"tengeler","text":"","code":"hill_pq(ten, \"patient_status\", one_plot = TRUE) res_inext <-   iNEXT_pq(ten,     datatype = \"abundance\",     merge_sample_by = \"patient_status_vs_cohort\",     nboot = 5   ) ggiNEXT(res_inext) accu_plot(   ten,   fact = \"sample_name\",   add_nb_seq = TRUE,   by.fact = TRUE,   step = 100 ) + theme(legend.position = c(.8, .6)) #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 9 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 17 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 25 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 7 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 8 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 6 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 14 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 28 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 3 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 7 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 2 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 15 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 5  #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 5 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 3 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 6 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 3 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 4 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 6 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 3  #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 3 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 21 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 5 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 13 #> Warning: Removed 1 row containing missing values (`geom_line()`)."},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/tengeler.html","id":"explore-taxonomy","dir":"Articles","previous_headings":"","what":"Explore taxonomy","title":"tengeler","text":"","code":"library(metacoder) heat_tree_pq(ten,   node_size = n_obs,   node_color = nb_sequences,   node_label = taxon_names,   tree_label = taxon_names,   node_size_trans = \"log10 area\" ) treemap_pq(ten, lvl1 = \"Order\", lvl2 = \"Family\")"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/tengeler.html","id":"beta-diversity-analysis-effect-of-patient-status-and-cohort","dir":"Articles","previous_headings":"","what":"Beta-diversity analysis : effect of patient status and cohort","title":"tengeler","text":"","code":"circle_pq(ten, \"patient_status\") upset_pq(ten, \"patient_status_vs_cohort\") ggvenn_pq(clean_pq(ten, force_taxa_as_columns = TRUE),   \"cohort\",   rarefy_before_merging = TRUE ) +   theme(legend.position = \"none\") ten_control <- clean_pq(subset_samples(ten, patient_status == \"Control\")) p_control <- heat_tree_pq(ten_control,   node_size = n_obs,   node_color = nb_sequences,   node_label = taxon_names,   tree_label = taxon_names,   node_size_trans = \"log10 area\" )  ten_ADHD <- clean_pq(subset_samples(ten, patient_status == \"ADHD\")) p_ADHD <- heat_tree_pq(ten_ADHD,   node_size = n_obs,   node_color = nb_sequences,   node_label = taxon_names,   tree_label = taxon_names,   node_size_trans = \"log10 area\" )  p_control + ggtitle(\"Control\") + p_ADHD + ggtitle(\"ADHD\") knitr::kable(track_wkflow(list(   \"All samples\" = ten,   \"Control samples\" = ten_control,   \"ADHD samples\" = ten_ADHD ))) adonis_pq(ten, \"cohort + patient_status\") #> Permutation test for adonis under reduced model #> Terms added sequentially (first to last) #> Permutation: free #> Number of permutations: 999 #>  #> vegan::adonis2(formula = .formula, data = metadata) #>                Df SumOfSqs      R2      F Pr(>F)   #> cohort          2   0.7922 0.11785 1.6626  0.070 . #> patient_status  1   0.4503 0.06698 1.8898  0.064 . #> Residual       23   5.4799 0.81517                 #> Total          26   6.7223 1.00000                 #> --- #> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 ten@tax_table <- phyloseq::tax_table(cbind(   ten@tax_table,   \"Species\" = taxa_names(ten) ))  biplot_pq(subset_taxa_pq(ten, taxa_sums(ten) > 3000),   merge_sample_by = \"patient_status\",   fact = \"patient_status\",   nudge_y = 0.4 ) multitax_bar_pq(ten, \"Phylum\", \"Class\", \"Order\", \"patient_status\") multitax_bar_pq(ten, \"Phylum\", \"Class\", \"Order\", \"patient_status\",   nb_seq = FALSE, log10trans = FALSE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/tengeler.html","id":"differential-abundance-analysis","dir":"Articles","previous_headings":"","what":"Differential abundance analysis","title":"tengeler","text":"","code":"plot_deseq2_pq(ten,   contrast = c(\"patient_status\", \"ADHD\", \"Control\"),   taxolev = \"Genus\" ) #> Warning in DESeqDataSet(se, design = design, ignoreRank): some variables in #> design formula are characters, converting to factors LEfSe <- diff_analysis(   ten,   classgroup = \"patient_status\",   mlfun = \"lda\",   ldascore = 2,   p.adjust.methods = \"bh\" ) library(ggplot2) ggeffectsize(LEfSe) +   scale_color_manual(values = c(     \"#00AED7\",     \"#FD9347\"   )) +   theme_bw()"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/tengeler.html","id":"session-information","dir":"Articles","previous_headings":"","what":"Session information","title":"tengeler","text":"","code":"sessionInfo() #> R version 4.3.2 (2023-10-31) #> Platform: x86_64-pc-linux-gnu (64-bit) #> Running under: Ubuntu 22.04.3 LTS #>  #> Matrix products: default #> BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3  #> LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so;  LAPACK version 3.10.0 #>  #> locale: #>  [1] LC_CTYPE=C.UTF-8       LC_NUMERIC=C           LC_TIME=C.UTF-8        #>  [4] LC_COLLATE=C.UTF-8     LC_MONETARY=C.UTF-8    LC_MESSAGES=C.UTF-8    #>  [7] LC_PAPER=C.UTF-8       LC_NAME=C              LC_ADDRESS=C           #> [10] LC_TELEPHONE=C         LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C    #>  #> time zone: UTC #> tzcode source: system (glibc) #>  #> attached base packages: #> [1] stats     graphics  grDevices utils     datasets  methods   base      #>  #> other attached packages: #>  [1] metacoder_0.3.6          iNEXT_3.0.0              patchwork_1.2.0          #>  [4] MiscMetabar_0.7.4        dplyr_1.1.4              dada2_1.30.0             #>  [7] Rcpp_1.0.12              ggplot2_3.4.4            phyloseq_1.46.0          #> [10] MicrobiotaProcess_1.14.0 #>  #> loaded via a namespace (and not attached): #>   [1] libcoin_1.0-10              RColorBrewer_1.1-3          #>   [3] shape_1.4.6                 jsonlite_1.8.8              #>   [5] magrittr_2.0.3              TH.data_1.1-2               #>   [7] modeltools_0.2-23           farver_2.1.1                #>   [9] rmarkdown_2.25              GlobalOptions_0.1.2         #>  [11] fs_1.6.3                    zlibbioc_1.48.0             #>  [13] ragg_1.2.7                  vctrs_0.6.5                 #>  [15] multtest_2.58.0             memoise_2.0.1               #>  [17] Rsamtools_2.18.0            RCurl_1.98-1.14             #>  [19] ggtree_3.10.0               htmltools_0.5.7             #>  [21] S4Arrays_1.2.0              ComplexUpset_1.3.3          #>  [23] Rhdf5lib_1.24.2             SparseArray_1.2.3           #>  [25] rhdf5_2.46.1                gridGraphics_0.5-1          #>  [27] sass_0.4.8                  bslib_0.6.1                 #>  [29] desc_1.4.3                  plyr_1.8.9                  #>  [31] sandwich_3.1-0              zoo_1.8-12                  #>  [33] cachem_1.0.8                ggfittext_0.10.2            #>  [35] GenomicAlignments_1.38.2    igraph_2.0.1.1              #>  [37] lifecycle_1.0.4             iterators_1.0.14            #>  [39] pkgconfig_2.0.3             Matrix_1.6-1.1              #>  [41] R6_2.5.1                    fastmap_1.1.1               #>  [43] GenomeInfoDbData_1.2.11     MatrixGenerics_1.14.0       #>  [45] digest_0.6.34               aplot_0.2.2                 #>  [47] colorspace_2.1-0            ggnewscale_0.4.9            #>  [49] ShortRead_1.60.0            S4Vectors_0.40.2            #>  [51] DESeq2_1.42.0               textshaping_0.3.7           #>  [53] GenomicRanges_1.54.1        hwriter_1.3.2.1             #>  [55] vegan_2.6-4                 labeling_0.4.3              #>  [57] fansi_1.0.6                 abind_1.4-5                 #>  [59] mgcv_1.9-0                  compiler_4.3.2              #>  [61] withr_3.0.0                 BiocParallel_1.36.0         #>  [63] highr_0.10                  ggsignif_0.6.4              #>  [65] MASS_7.3-60                 DelayedArray_0.28.0         #>  [67] biomformat_1.30.0           permute_0.9-7               #>  [69] tools_4.3.2                 ape_5.7-1                   #>  [71] glue_1.7.0                  treemapify_2.5.6            #>  [73] nlme_3.1-163                rhdf5filters_1.14.1         #>  [75] grid_4.3.2                  cluster_2.1.4               #>  [77] reshape2_1.4.4              ade4_1.7-22                 #>  [79] generics_0.1.3              gtable_0.3.4                #>  [81] tidyr_1.3.1                 ggVennDiagram_1.5.0         #>  [83] data.table_1.15.0           coin_1.4-3                  #>  [85] utf8_1.2.4                  XVector_0.42.0              #>  [87] BiocGenerics_0.48.1         ggrepel_0.9.5               #>  [89] foreach_1.5.2               pillar_1.9.0                #>  [91] stringr_1.5.1               yulab.utils_0.1.4           #>  [93] circlize_0.4.15             splines_4.3.2               #>  [95] treeio_1.26.0               lattice_0.21-9              #>  [97] survival_3.5-7              deldir_2.0-2                #>  [99] tidyselect_1.2.0            locfit_1.5-9.8              #> [101] pbapply_1.7-2               Biostrings_2.70.2           #> [103] knitr_1.45                  gridExtra_2.3               #> [105] IRanges_2.36.0              SummarizedExperiment_1.32.0 #> [107] ggtreeExtra_1.12.0          stats4_4.3.2                #> [109] xfun_0.41                   Biobase_2.62.0              #> [111] matrixStats_1.2.0           stringi_1.8.3               #> [113] lazyeval_0.2.2              ggfun_0.1.4                 #> [115] yaml_2.3.8                  evaluate_0.23               #> [117] codetools_0.2-19            interp_1.1-6                #> [119] tibble_3.2.1                ggplotify_0.1.2             #> [121] cli_3.6.2                   RcppParallel_5.1.7          #> [123] systemfonts_1.0.5           munsell_0.5.0               #> [125] jquerylib_0.1.4             GenomeInfoDb_1.38.5         #> [127] png_0.1-8                   parallel_4.3.2              #> [129] ggh4x_0.2.8                 pkgdown_2.0.7               #> [131] latticeExtra_0.6-30         jpeg_0.1-10                 #> [133] bitops_1.0-7                ggstar_1.0.4                #> [135] mvtnorm_1.2-4               tidytree_0.4.6              #> [137] GA_3.2.4                    scales_1.3.0                #> [139] purrr_1.0.2                 crayon_1.5.2                #> [141] rlang_1.1.3                 multcomp_1.4-25"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/tengeler.html","id":"references","dir":"Articles","previous_headings":"","what":"References","title":"tengeler","text":"Tengeler, .C., Dam, S.., Wiesmann, M. et al. Gut microbiota persons attention-deficit/hyperactivity disorder affects brain mice. Microbiome 8, 44 (2020). https://microbiomejournal.biomedcentral.com/articles/10.1186/s40168-020-00816-x","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/tree_visualization.html","id":"session-information","dir":"Articles","previous_headings":"","what":"Session information","title":"Tree visualization","text":"","code":"sessionInfo() #> R version 4.3.2 (2023-10-31) #> Platform: x86_64-pc-linux-gnu (64-bit) #> Running under: Ubuntu 22.04.3 LTS #>  #> Matrix products: default #> BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3  #> LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so;  LAPACK version 3.10.0 #>  #> locale: #>  [1] LC_CTYPE=C.UTF-8       LC_NUMERIC=C           LC_TIME=C.UTF-8        #>  [4] LC_COLLATE=C.UTF-8     LC_MONETARY=C.UTF-8    LC_MESSAGES=C.UTF-8    #>  [7] LC_PAPER=C.UTF-8       LC_NAME=C              LC_ADDRESS=C           #> [10] LC_TELEPHONE=C         LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C    #>  #> time zone: UTC #> tzcode source: system (glibc) #>  #> attached base packages: #> [1] stats     graphics  grDevices utils     datasets  methods   base      #>  #> other attached packages: #>  [1] ggtree_3.10.0     treeio_1.26.0     phangorn_2.11.1   ape_5.7-1         #>  [5] MiscMetabar_0.7.4 dplyr_1.1.4       dada2_1.30.0      Rcpp_1.0.12       #>  [9] ggplot2_3.4.4     phyloseq_1.46.0   tidytree_0.4.6    #>  #> loaded via a namespace (and not attached): #>   [1] RColorBrewer_1.1-3          jsonlite_1.8.8              #>   [3] magrittr_2.0.3              farver_2.1.1                #>   [5] rmarkdown_2.25              fs_1.6.3                    #>   [7] zlibbioc_1.48.0             ragg_1.2.7                  #>   [9] vctrs_0.6.5                 multtest_2.58.0             #>  [11] memoise_2.0.1               Rsamtools_2.18.0            #>  [13] RCurl_1.98-1.14             htmltools_0.5.7             #>  [15] S4Arrays_1.2.0              Rhdf5lib_1.24.2             #>  [17] SparseArray_1.2.3           rhdf5_2.46.1                #>  [19] gridGraphics_0.5-1          sass_0.4.8                  #>  [21] bslib_0.6.1                 desc_1.4.3                  #>  [23] plyr_1.8.9                  DECIPHER_2.30.0             #>  [25] cachem_1.0.8                GenomicAlignments_1.38.2    #>  [27] igraph_2.0.1.1              lifecycle_1.0.4             #>  [29] iterators_1.0.14            pkgconfig_2.0.3             #>  [31] Matrix_1.6-1.1              R6_2.5.1                    #>  [33] fastmap_1.1.1               GenomeInfoDbData_1.2.11     #>  [35] MatrixGenerics_1.14.0       digest_0.6.34               #>  [37] aplot_0.2.2                 colorspace_2.1-0            #>  [39] ShortRead_1.60.0            patchwork_1.2.0             #>  [41] S4Vectors_0.40.2            textshaping_0.3.7           #>  [43] GenomicRanges_1.54.1        RSQLite_2.3.5               #>  [45] hwriter_1.3.2.1             vegan_2.6-4                 #>  [47] labeling_0.4.3              fansi_1.0.6                 #>  [49] abind_1.4-5                 mgcv_1.9-0                  #>  [51] compiler_4.3.2              bit64_4.0.5                 #>  [53] withr_3.0.0                 BiocParallel_1.36.0         #>  [55] DBI_1.2.1                   highr_0.10                  #>  [57] MASS_7.3-60                 DelayedArray_0.28.0         #>  [59] biomformat_1.30.0           permute_0.9-7               #>  [61] tools_4.3.2                 glue_1.7.0                  #>  [63] quadprog_1.5-8              nlme_3.1-163                #>  [65] rhdf5filters_1.14.1         grid_4.3.2                  #>  [67] cluster_2.1.4               reshape2_1.4.4              #>  [69] ade4_1.7-22                 generics_0.1.3              #>  [71] gtable_0.3.4                tidyr_1.3.1                 #>  [73] data.table_1.15.0           utf8_1.2.4                  #>  [75] XVector_0.42.0              BiocGenerics_0.48.1         #>  [77] foreach_1.5.2               pillar_1.9.0                #>  [79] stringr_1.5.1               yulab.utils_0.1.4           #>  [81] splines_4.3.2               lattice_0.21-9              #>  [83] survival_3.5-7              bit_4.0.5                   #>  [85] deldir_2.0-2                tidyselect_1.2.0            #>  [87] Biostrings_2.70.2           knitr_1.45                  #>  [89] IRanges_2.36.0              SummarizedExperiment_1.32.0 #>  [91] stats4_4.3.2                xfun_0.41                   #>  [93] Biobase_2.62.0              matrixStats_1.2.0           #>  [95] stringi_1.8.3               lazyeval_0.2.2              #>  [97] ggfun_0.1.4                 yaml_2.3.8                  #>  [99] evaluate_0.23               codetools_0.2-19            #> [101] interp_1.1-6                tibble_3.2.1                #> [103] ggplotify_0.1.2             cli_3.6.2                   #> [105] RcppParallel_5.1.7          systemfonts_1.0.5           #> [107] munsell_0.5.0               jquerylib_0.1.4             #> [109] GenomeInfoDb_1.38.5         png_0.1-8                   #> [111] parallel_4.3.2              pkgdown_2.0.7               #> [113] blob_1.2.4                  latticeExtra_0.6-30         #> [115] jpeg_0.1-10                 bitops_1.0-7                #> [117] scales_1.3.0                purrr_1.0.2                 #> [119] crayon_1.5.2                rlang_1.1.3                 #> [121] fastmatch_1.1-4"},{"path":"https://adrientaudiere.github.io/MiscMetabar/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Adrien Taudière. Author, maintainer, copyright holder.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Taudière (2024). MiscMetabar: Miscellaneous Functions Metabarcoding Analysis. R package version 0.7.4,  https://adrientaudiere.github.io/MiscMetabar/, https://github.com/adrientaudiere/MiscMetabar.","code":"@Manual{,   title = {MiscMetabar: Miscellaneous Functions for Metabarcoding Analysis},   author = {Adrien Taudière},   year = {2024},   note = {R package version 0.7.4,  https://adrientaudiere.github.io/MiscMetabar/},   url = {https://github.com/adrientaudiere/MiscMetabar}, }"},{"path":"https://adrientaudiere.github.io/MiscMetabar/index.html","id":"miscmetabar-","dir":"","previous_headings":"","what":"Miscellaneous Functions for Metabarcoding Analysis","title":"Miscellaneous Functions for Metabarcoding Analysis","text":"See pkgdown documentation site package paper Journal Open Softwares. Biological studies, especially ecology, health sciences taxonomy, need describe biological composition samples. last twenty years, () development DNA sequencing, (ii) reference databases, (iii) high-throughput sequencing (HTS), (iv) bioinformatics resources allowed description biological communities metabarcoding. Metabarcoding involves sequencing millions (meta-) short regions specific DNA (-barcoding, Valentini, Pompanon, Taberlet (2009)) often environmental samples (eDNA, Taberlet et al. (2012)) human stomach contents, lake water, soil air. MiscMetabar aims facilitate description, transformation, exploration reproducibility metabarcoding analysis using R. development MiscMetabar relies heavily R packages dada2 (Callahan et al. 2016), phyloseq (McMurdie Holmes 2013) targets (Landau 2021).","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Miscellaneous Functions for Metabarcoding Analysis","text":"CRAN version MiscMetabar now (work progress). MiscMetabar heavily relies two bioconductor packages (dada phyloseq), need first install 2 packages using BiocManager. can install stable version GitHub : can install development version GitHub :","code":"if (!require(\"devtools\", quietly = TRUE)) {   install.packages(\"devtools\") } devtools::install_github(\"adrientaudiere/MiscMetabar\") if (!require(\"devtools\", quietly = TRUE)) {   install.packages(\"devtools\") } devtools::install_github(\"adrientaudiere/MiscMetabar\", ref = \"dev\")"},{"path":"https://adrientaudiere.github.io/MiscMetabar/index.html","id":"some-use-of-miscmetabar","dir":"","previous_headings":"","what":"Some use of MiscMetabar","title":"Miscellaneous Functions for Metabarcoding Analysis","text":"See articles MiscMetabar website examples. introduction metabarcoding R, Please visite state field articles. import, export track article explains import export phyloseq object. also show summarize useful information (number sequences, samples clusters) accross bioinformatic pipelines. article explore data takes closer look different way explore samples taxonomical data phyloseq object. interested ecological metrics, see articles describing alpha-diversity beta-diversity analysis. article filter taxa samples describes data-filtering processes using MiscMetabar reclustering tutorial introduces different way clustering already-clustered OTU/ASV. article tengeler explore dataset Tengeler et al. (2020) using MiscMetabar functions. developers, also wrote article describing som rules codes.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/index.html","id":"summarize-a-physeq-object","dir":"","previous_headings":"Some use of MiscMetabar","what":"Summarize a physeq object","title":"Miscellaneous Functions for Metabarcoding Analysis","text":"","code":"library(\"MiscMetabar\") library(\"phyloseq\") library(\"magrittr\") data(\"data_fungi\") summary_plot_pq(data_fungi)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/index.html","id":"alpha-diversity-analysis","dir":"","previous_headings":"Some use of MiscMetabar","what":"Alpha-diversity analysis","title":"Miscellaneous Functions for Metabarcoding Analysis","text":"Hill number 1 Result Tuckey post-hoc test","code":"p <- MiscMetabar::hill_pq(data_fungi, variable = \"Height\") p$plot_Hill_0 p$plot_tuckey"},{"path":"https://adrientaudiere.github.io/MiscMetabar/index.html","id":"beta-diversity-analysis","dir":"","previous_headings":"Some use of MiscMetabar","what":"Beta-diversity analysis","title":"Miscellaneous Functions for Metabarcoding Analysis","text":"","code":"if (!require(\"ggVennDiagram\", quietly = TRUE)) {   install.packages(\"ggVennDiagramà\") } ggvenn_pq(data_fungi, fact = \"Height\") +   ggplot2::scale_fill_distiller(palette = \"BuPu\", direction = 1) +   labs(title = \"Share number of ASV among Height in tree\")"},{"path":"https://adrientaudiere.github.io/MiscMetabar/index.html","id":"installation-of-other-softwares-for-debian-linux-distributions","dir":"","previous_headings":"Some use of MiscMetabar","what":"Installation of other softwares for debian Linux distributions","title":"Miscellaneous Functions for Metabarcoding Analysis","text":"encounter errors questions installation softwares, please visit dedicated websites.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/index.html","id":"blast","dir":"","previous_headings":"Some use of MiscMetabar > Installation of other softwares for debian Linux distributions","what":"blast@","title":"Miscellaneous Functions for Metabarcoding Analysis","text":"","code":"sudo apt-get install ncbi-blast+"},{"path":"https://adrientaudiere.github.io/MiscMetabar/index.html","id":"vsearch","dir":"","previous_headings":"Some use of MiscMetabar > Installation of other softwares for debian Linux distributions","what":"vsearch","title":"Miscellaneous Functions for Metabarcoding Analysis","text":"possibilities install vsearch conda.","code":"sudo apt-get install vsearch"},{"path":"https://adrientaudiere.github.io/MiscMetabar/index.html","id":"swarm","dir":"","previous_headings":"Some use of MiscMetabar > Installation of other softwares for debian Linux distributions","what":"swarm","title":"Miscellaneous Functions for Metabarcoding Analysis","text":"possibilities install swarm conda.","code":"git clone https://github.com/torognes/swarm.git cd swarm/ make"},{"path":"https://adrientaudiere.github.io/MiscMetabar/index.html","id":"mumu","dir":"","previous_headings":"Some use of MiscMetabar > Installation of other softwares for debian Linux distributions","what":"Mumu","title":"Miscellaneous Functions for Metabarcoding Analysis","text":"","code":"git clone https://github.com/frederic-mahe/mumu.git cd ./mumu/ make make check make install  # as root or sudo"},{"path":"https://adrientaudiere.github.io/MiscMetabar/index.html","id":"cutadapt","dir":"","previous_headings":"Some use of MiscMetabar > Installation of other softwares for debian Linux distributions","what":"cutadapt","title":"Miscellaneous Functions for Metabarcoding Analysis","text":"","code":"conda create -n cutadaptenv cutadapt"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/LCBD_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute and test local contributions to beta diversity (LCBD) of\nsamples — LCBD_pq","title":"Compute and test local contributions to beta diversity (LCBD) of\nsamples — LCBD_pq","text":"wrapper adespatial::beta.div() function case physeq object.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/LCBD_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute and test local contributions to beta diversity (LCBD) of\nsamples — LCBD_pq","text":"","code":"LCBD_pq(physeq, p_adjust_method = \"BH\", ...)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/LCBD_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute and test local contributions to beta diversity (LCBD) of\nsamples — LCBD_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. p_adjust_method (chr, default \"BH\"): method used adjust p-value ... Others arguments passed adespatial::beta.div() function","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/LCBD_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute and test local contributions to beta diversity (LCBD) of\nsamples — LCBD_pq","text":"object class beta.div see adespatial::beta.div() function information","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/LCBD_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Compute and test local contributions to beta diversity (LCBD) of\nsamples — LCBD_pq","text":"Adrien Taudière function mainly wrapper work others. Please make reference adespatial::beta.div() use function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/LCBD_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compute and test local contributions to beta diversity (LCBD) of\nsamples — LCBD_pq","text":"","code":"res <- LCBD_pq(data_fungi_sp_known, nperm = 5) str(res) #> List of 8 #>  $ beta  : Named num [1:2] 173.647 0.949 #>   ..- attr(*, \"names\")= chr [1:2] \"SStotal\" \"BDtotal\" #>  $ SCBD  : Named num [1:651] 0.0533 0.0307 0.0206 0.0123 0.0122 ... #>   ..- attr(*, \"names\")= chr [1:651] \"ASV2\" \"ASV8\" \"ASV12\" \"ASV18\" ... #>  $ LCBD  : Named num [1:184] 0.00522 0.00559 0.00545 0.00516 0.00488 ... #>   ..- attr(*, \"names\")= chr [1:184] \"A10-005-B_S188_MERGED.fastq.gz\" \"A10-005-H_S189_MERGED.fastq.gz\" \"A10-005-M_S190_MERGED.fastq.gz\" \"A12-007_S191_MERGED.fastq.gz\" ... #>  $ p.LCBD: Named num [1:184] 1 0.5 0.667 1 1 ... #>   ..- attr(*, \"names\")= chr [1:184] \"A10-005-B_S188_MERGED.fastq.gz\" \"A10-005-H_S189_MERGED.fastq.gz\" \"A10-005-M_S190_MERGED.fastq.gz\" \"A12-007_S191_MERGED.fastq.gz\" ... #>  $ p.adj : Named num [1:184] 1 0.948 1 1 1 ... #>   ..- attr(*, \"names\")= chr [1:184] \"A10-005-B_S188_MERGED.fastq.gz\" \"A10-005-H_S189_MERGED.fastq.gz\" \"A10-005-M_S190_MERGED.fastq.gz\" \"A12-007_S191_MERGED.fastq.gz\" ... #>  $ method: chr [1:2] \"hellinger\" NA #>  $ note  : chr \"Info -- This coefficient is Euclidean\" #>  $ D     : logi NA #>  - attr(*, \"class\")= chr \"beta.div\" length(res$LCBD) #> [1] 184 length(res$SCBD) #> [1] 651 LCBD_pq(data_fungi_sp_known, nperm = 5, method = \"jaccard\") #> $beta #>    SStotal    BDtotal  #> 85.9986349  0.4699379  #>  #> $SCBD #> [1] NA #>  #> $LCBD #>    A10-005-B_S188_MERGED.fastq.gz    A10-005-H_S189_MERGED.fastq.gz  #>                       0.005431337                       0.005585492  #>    A10-005-M_S190_MERGED.fastq.gz      A12-007_S191_MERGED.fastq.gz  #>                       0.005478440                       0.005475019  #>      A12-007-B_S2_MERGED.fastq.gz        A15-004_S3_MERGED.fastq.gz  #>                       0.005495528                       0.005107525  #>         A8-005_S4_MERGED.fastq.gz         A9-012_S5_MERGED.fastq.gz  #>                       0.005393136                       0.005158405  #>    AB29-ABMX-H_S6_MERGED.fastq.gz       AC27-013_S7_MERGED.fastq.gz  #>                       0.005598452                       0.005362440  #>        AC29033_S8_MERGED.fastq.gz     AD26-005-B_S9_MERGED.fastq.gz  #>                       0.005435153                       0.005590336  #>    AD26-005-H_S10_MERGED.fastq.gz    AD26-005-M_S11_MERGED.fastq.gz  #>                       0.005541210                       0.005601384  #>   AD30-ABMX-M_S12_MERGED.fastq.gz    AD32-007-M_S13_MERGED.fastq.gz  #>                       0.005500683                       0.005415709  #>    ADABM30X-B_S14_MERGED.fastq.gz    ADABM30X-H_S15_MERGED.fastq.gz  #>                       0.005521256                       0.005515426  #>    ADABM30X-M_S16_MERGED.fastq.gz   AE30-ABM507_S17_MERGED.fastq.gz  #>                       0.005664555                       0.005417710  #>       B17-014_S18_MERGED.fastq.gz     B18-006-B_S19_MERGED.fastq.gz  #>                       0.005223051                       0.005124279  #>   BA16-036bis_S20_MERGED.fastq.gz    BA17-050-B_S21_MERGED.fastq.gz  #>                       0.005596074                       0.005383404  #>    BB19-006-H_S22_MERGED.fastq.gz     BB6-019-B_S23_MERGED.fastq.gz  #>                       0.005479949                       0.005473285  #>     BB6-019-H_S24_MERGED.fastq.gz     BB6-019-M_S25_MERGED.fastq.gz  #>                       0.005516622                       0.005405949  #>      BD14-021_S26_MERGED.fastq.gz     BE9-006-B_S27_MERGED.fastq.gz  #>                       0.005391203                       0.005416875  #>     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       0.1666667                         0.3333333  #>     D61-010-B_S82_MERGED.fastq.gz      D9-027-B_S83_MERGED.fastq.gz  #>                         0.3333333                         1.0000000  #>      D9-027-H_S84_MERGED.fastq.gz      D9-027-M_S85_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>   DBM-ABM-001_S86_MERGED.fastq.gz     DJ2-008-B_S87_MERGED.fastq.gz  #>                         1.0000000                         0.5000000  #>     DJ2-008-H_S88_MERGED.fastq.gz     DJ2-008-M_S89_MERGED.fastq.gz  #>                         0.1666667                         0.5000000  #>    DP4-ABM001_S90_MERGED.fastq.gz  DS1-ABM002-B_S91_MERGED.fastq.gz  #>                         0.3333333                         0.1666667  #>  DS1-ABM002-H_S92_MERGED.fastq.gz  DS1-ABM002-M_S93_MERGED.fastq.gz  #>                         0.1666667                         0.3333333  #>     DU3-045-B_S94_MERGED.fastq.gz       DW4-007_S95_MERGED.fastq.gz  #>           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                     1.0000000                         0.5000000  #> H24-NVABM1-H_S111_MERGED.fastq.gz    J18-004-B_S114_MERGED.fastq.gz  #>                         0.8333333                         1.0000000  #>    J18-004-H_S115_MERGED.fastq.gz    J18-004-M_S116_MERGED.fastq.gz  #>                         0.1666667                         1.0000000  #>    K18-002-H_S117_MERGED.fastq.gz   K26-NVABM1_S118_MERGED.fastq.gz  #>                         0.5000000                         0.3333333  #>       L19X-B_S119_MERGED.fastq.gz       L19X-H_S120_MERGED.fastq.gz  #>                         0.1666667                         0.5000000  #>       L19X-M_S121_MERGED.fastq.gz    L23-002-B_S122_MERGED.fastq.gz  #>                         0.6666667                         1.0000000  #>    L23-002-H_S123_MERGED.fastq.gz    L23-002-M_S124_MERGED.fastq.gz  #>                         0.1666667                         1.0000000  #>      M22-001_S125_MERGED.fastq.gz       N19X-B_S126_MERGED.fastq.gz  #>                         0.3333333                         1.0000000  #>       N19X-H_S127_MERGED.fastq.gz       N19X-M_S128_MERGED.fastq.gz  #>                         1.0000000                         0.6666667  #>    N22-001-B_S129_MERGED.fastq.gz    N23-002-B_S130_MERGED.fastq.gz  #>                         0.1666667                         0.3333333  #>    N23-002-H_S131_MERGED.fastq.gz     N25-ABMX_S133_MERGED.fastq.gz  #>                         0.8333333                         0.1666667  #>   NVABM-0058_S134_MERGED.fastq.gz NVABM-0163-H_S135_MERGED.fastq.gz  #>                         0.6666667                         0.1666667  #>   NVABM-0397_S138_MERGED.fastq.gz    NVABM0216_S136_MERGED.fastq.gz  #>                         0.5000000                         0.1666667  #>  NVABM0244-M_S137_MERGED.fastq.gz      O20-X-B_S139_MERGED.fastq.gz  #>                         0.1666667                         0.3333333  #>      O20-X-H_S140_MERGED.fastq.gz      O20-X-M_S141_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>    O21-007-B_S142_MERGED.fastq.gz    O21-007-H_S143_MERGED.fastq.gz  #>                         0.1666667                         0.1666667  #>    O21-007-M_S144_MERGED.fastq.gz    O24-003-B_S145_MERGED.fastq.gz  #>                         0.1666667                         0.8333333  #>    O24-003-H_S146_MERGED.fastq.gz    O24-003-M_S147_MERGED.fastq.gz  #>                         0.3333333                         1.0000000  #>    O26-004-B_S148_MERGED.fastq.gz    O26-004-H_S149_MERGED.fastq.gz  #>                         0.1666667                         0.1666667  #>    O26-004-M_S150_MERGED.fastq.gz      O27-012_S151_MERGED.fastq.gz  #>                         0.1666667                         0.3333333  #>     O9-005-B_S152_MERGED.fastq.gz    P19-023-M_S153_MERGED.fastq.gz  #>                         1.0000000                         0.1666667  #>    P27-015-M_S154_MERGED.fastq.gz   P27-ABM001_S155_MERGED.fastq.gz  #>                         0.1666667                         0.1666667  #> Q27-ABM003-B_S156_MERGED.fastq.gz     R25-ABMX_S157_MERGED.fastq.gz  #>                         0.3333333                         0.5000000  #>    R28-008-B_S158_MERGED.fastq.gz    R28-008-H_S159_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>    R28-008-M_S160_MERGED.fastq.gz      T28-011_S161_MERGED.fastq.gz  #>                         1.0000000                         0.3333333  #> T28-ABM602-B_S162_MERGED.fastq.gz   U27-ABM002_S163_MERGED.fastq.gz  #>                         0.1666667                         0.5000000  #>     W25-ABMX_S164_MERGED.fastq.gz    W26-001-B_S165_MERGED.fastq.gz  #>                         0.3333333                         1.0000000  #>    W26-001-H_S166_MERGED.fastq.gz    W26-001-M_S167_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>      W30-006_S168_MERGED.fastq.gz     W9-025-M_S169_MERGED.fastq.gz  #>                         0.3333333                         0.1666667  #>    X24-009-B_S170_MERGED.fastq.gz    X24-009-H_S171_MERGED.fastq.gz  #>                         0.8333333                         0.1666667  #>    X24-009-M_S172_MERGED.fastq.gz      X24-010_S173_MERGED.fastq.gz  #>                         0.1666667                         0.1666667  #>    X29-004-B_S174_MERGED.fastq.gz    X29-004-H_S175_MERGED.fastq.gz  #>                         0.1666667                         0.5000000  #>    X29-004-M_S176_MERGED.fastq.gz Y21-ABM484-H_S177_MERGED.fastq.gz  #>                         0.8333333                         0.6666667  #>    Y28-002-B_S178_MERGED.fastq.gz    Y28-002-H_S179_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>    Y28-002-M_S180_MERGED.fastq.gz    Y29-007-B_S181_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>    Y29-007-H_S182_MERGED.fastq.gz    Y29-007-M_S183_MERGED.fastq.gz  #>                         1.0000000                         0.1666667  #> Y31-ABM484-B_S184_MERGED.fastq.gz    Z29-001-H_S185_MERGED.fastq.gz  #>                         0.1666667                         0.6666667  #>      Z30-002_S186_MERGED.fastq.gz Z30-ABM560-M_S187_MERGED.fastq.gz  #>                         1.0000000                         0.8333333  #>  #> $p.adj #>    A10-005-B_S188_MERGED.fastq.gz    A10-005-H_S189_MERGED.fastq.gz  #>                         0.7572016                         0.7572016  #>    A10-005-M_S190_MERGED.fastq.gz      A12-007_S191_MERGED.fastq.gz  #>                         0.8363636                         0.6388889  #>      A12-007-B_S2_MERGED.fastq.gz        A15-004_S3_MERGED.fastq.gz  #>                         0.6388889                         1.0000000  #>         A8-005_S4_MERGED.fastq.gz         A9-012_S5_MERGED.fastq.gz  #>                         0.8363636                         1.0000000  #>    AB29-ABMX-H_S6_MERGED.fastq.gz       AC27-013_S7_MERGED.fastq.gz  #>                         0.6388889                         0.9972900  #>        AC29033_S8_MERGED.fastq.gz     AD26-005-B_S9_MERGED.fastq.gz  #>                         1.0000000                         0.7572016  #>    AD26-005-H_S10_MERGED.fastq.gz    AD26-005-M_S11_MERGED.fastq.gz  #>                         0.7572016                         0.6388889  #>   AD30-ABMX-M_S12_MERGED.fastq.gz    AD32-007-M_S13_MERGED.fastq.gz  #>                         0.7572016                         0.7572016  #>    ADABM30X-B_S14_MERGED.fastq.gz    ADABM30X-H_S15_MERGED.fastq.gz  #>                         0.8363636                         0.9972900  #>    ADABM30X-M_S16_MERGED.fastq.gz   AE30-ABM507_S17_MERGED.fastq.gz  #>                         0.6388889                         0.8363636  #>       B17-014_S18_MERGED.fastq.gz     B18-006-B_S19_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>   BA16-036bis_S20_MERGED.fastq.gz    BA17-050-B_S21_MERGED.fastq.gz  #>                         0.6388889                         1.0000000  #>    BB19-006-H_S22_MERGED.fastq.gz     BB6-019-B_S23_MERGED.fastq.gz  #>                         0.8363636                         0.8363636  #>     BB6-019-H_S24_MERGED.fastq.gz     BB6-019-M_S25_MERGED.fastq.gz  #>                         0.6388889                         0.8363636  #>      BD14-021_S26_MERGED.fastq.gz     BE9-006-B_S27_MERGED.fastq.gz  #>                         1.0000000                         0.8363636  #>     BE9-006-H_S28_MERGED.fastq.gz     BE9-006-M_S29_MERGED.fastq.gz  #>                         1.0000000                         0.8363636  #>     BG7-010-B_S30_MERGED.fastq.gz     BG7-010-H_S31_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>     BG7-010-M_S32_MERGED.fastq.gz       BH9-021_S33_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>    BJ17-007-M_S34_MERGED.fastq.gz   BJ8-ABM-003_S35_MERGED.fastq.gz  #>                         0.9972900                         0.6388889  #>     BL7-006-B_S36_MERGED.fastq.gz     BL7-006-H_S37_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>     BL7-006-M_S38_MERGED.fastq.gz      BN11-041_S39_MERGED.fastq.gz  #>                         1.0000000                         0.8363636  #>       BN9-002_S40_MERGED.fastq.gz       BO8-002_S41_MERGED.fastq.gz  #>                         0.7572016                         0.7572016  #>       BO8-005_S42_MERGED.fastq.gz    BP11-001-B_S43_MERGED.fastq.gz  #>                         0.8363636                         0.7572016  #>    BP11-001-H_S44_MERGED.fastq.gz    BP11-001-M_S45_MERGED.fastq.gz  #>                         1.0000000                         0.8363636  #>    BP12-025-B_S46_MERGED.fastq.gz      BP14-006_S47_MERGED.fastq.gz  #>                         0.8363636                         1.0000000  #>       BQ3-019_S48_MERGED.fastq.gz     BQ4-018-B_S49_MERGED.fastq.gz  #>                         0.6388889                         0.9972900  #>     BQ4-018-H_S50_MERGED.fastq.gz     BQ4-018-M_S51_MERGED.fastq.gz  #>                         0.8363636                         0.7572016  #>    BQ9ABM-002_S52_MERGED.fastq.gz       BR8-005_S53_MERGED.fastq.gz  #>                         0.7572016                         0.9972900  #>      BS14-006_S54_MERGED.fastq.gz      BT-006-M_S55_MERGED.fastq.gz  #>                         0.9972900                         1.0000000  #>       BT7-006_S56_MERGED.fastq.gz    BV11-002-B_S57_MERGED.fastq.gz  #>                         1.0000000                         0.8363636  #>    BV11-002-H_S58_MERGED.fastq.gz    BV11-002-M_S59_MERGED.fastq.gz  #>                         0.7572016                         0.6388889  #>       BW8-003_S60_MERGED.fastq.gz        C1-001_S61_MERGED.fastq.gz  #>    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 #>                         0.6388889                         0.9972900  #>     D18-003-B_S78_MERGED.fastq.gz     D18-003-H_S79_MERGED.fastq.gz  #>                         0.7572016                         0.7572016  #>     D18-003-M_S80_MERGED.fastq.gz    D22-NVABM1_S81_MERGED.fastq.gz  #>                         0.6388889                         0.7572016  #>     D61-010-B_S82_MERGED.fastq.gz      D9-027-B_S83_MERGED.fastq.gz  #>                         0.7572016                         1.0000000  #>      D9-027-H_S84_MERGED.fastq.gz      D9-027-M_S85_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>   DBM-ABM-001_S86_MERGED.fastq.gz     DJ2-008-B_S87_MERGED.fastq.gz  #>                         1.0000000                         0.8363636  #>     DJ2-008-H_S88_MERGED.fastq.gz     DJ2-008-M_S89_MERGED.fastq.gz  #>                         0.6388889                         0.8363636  #>    DP4-ABM001_S90_MERGED.fastq.gz  DS1-ABM002-B_S91_MERGED.fastq.gz  #>                         0.7572016                         0.6388889  #>  DS1-ABM002-H_S92_MERGED.fastq.gz  DS1-ABM002-M_S93_MERGED.fastq.gz  #>                         0.6388889                         0.7572016  #>     DU3-045-B_S94_MERGED.fastq.gz       DW4-007_S95_MERGED.fastq.gz  #>                         0.9972900                         0.7572016  #>     DY5-004-B_S96_MERGED.fastq.gz     DY5-004-H_S97_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>     DY5-004-M_S98_MERGED.fastq.gz   DZ6-ABM-001_S99_MERGED.fastq.gz  #>                         1.0000000                         0.6388889  #>     E9-009-B_S100_MERGED.fastq.gz     E9-009-H_S101_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>     E9-009-M_S102_MERGED.fastq.gz  EA5-ABM-001_S103_MERGED.fastq.gz  #>                         1.0000000                         0.8363636  #>    EC2-013-B_S104_MERGED.fastq.gz   F6-ABM-001_S105_MERGED.fastq.gz  #>                         0.6388889                         0.6388889  #>     F7-015-M_S106_MERGED.fastq.gz    FOMES19-H_S108_MERGED.fastq.gz  #>                         0.6388889                         1.0000000  #>    FOMES19-M_S109_MERGED.fastq.gz    H10-018-M_S110_MERGED.fastq.gz  #>                         1.0000000                         0.8363636  #> H24-NVABM1-H_S111_MERGED.fastq.gz    J18-004-B_S114_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>    J18-004-H_S115_MERGED.fastq.gz    J18-004-M_S116_MERGED.fastq.gz  #>                         0.6388889                         1.0000000  #>    K18-002-H_S117_MERGED.fastq.gz   K26-NVABM1_S118_MERGED.fastq.gz  #>                         0.8363636                         0.7572016  #>       L19X-B_S119_MERGED.fastq.gz       L19X-H_S120_MERGED.fastq.gz  #>                         0.6388889                         0.8363636  #>       L19X-M_S121_MERGED.fastq.gz    L23-002-B_S122_MERGED.fastq.gz  #>                         0.9972900                         1.0000000  #>    L23-002-H_S123_MERGED.fastq.gz    L23-002-M_S124_MERGED.fastq.gz  #>                         0.6388889                         1.0000000  #>      M22-001_S125_MERGED.fastq.gz       N19X-B_S126_MERGED.fastq.gz  #>                         0.7572016                         1.0000000  #>       N19X-H_S127_MERGED.fastq.gz       N19X-M_S128_MERGED.fastq.gz  #>                         1.0000000                         0.9972900  #>    N22-001-B_S129_MERGED.fastq.gz    N23-002-B_S130_MERGED.fastq.gz  #>                         0.6388889                         0.7572016  #>    N23-002-H_S131_MERGED.fastq.gz     N25-ABMX_S133_MERGED.fastq.gz  #>                         1.0000000                         0.6388889  #>   NVABM-0058_S134_MERGED.fastq.gz NVABM-0163-H_S135_MERGED.fastq.gz  #>                         0.9972900                         0.6388889  #>   NVABM-0397_S138_MERGED.fastq.gz    NVABM0216_S136_MERGED.fastq.gz  #>                         0.8363636                         0.6388889  #>  NVABM0244-M_S137_MERGED.fastq.gz      O20-X-B_S139_MERGED.fastq.gz  #>                         0.6388889                         0.7572016  #>      O20-X-H_S140_MERGED.fastq.gz      O20-X-M_S141_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>    O21-007-B_S142_MERGED.fastq.gz    O21-007-H_S143_MERGED.fastq.gz  #>                         0.6388889                         0.6388889  #>    O21-007-M_S144_MERGED.fastq.gz    O24-003-B_S145_MERGED.fastq.gz  #>                         0.6388889                         1.0000000  #>    O24-003-H_S146_MERGED.fastq.gz    O24-003-M_S147_MERGED.fastq.gz  #>                         0.7572016                         1.0000000  #>    O26-004-B_S148_MERGED.fastq.gz    O26-004-H_S149_MERGED.fastq.gz  #>                         0.6388889                         0.6388889  #>    O26-004-M_S150_MERGED.fastq.gz      O27-012_S151_MERGED.fastq.gz  #>                         0.6388889                         0.7572016  #>     O9-005-B_S152_MERGED.fastq.gz    P19-023-M_S153_MERGED.fastq.gz  #>                         1.0000000                         0.6388889  #>    P27-015-M_S154_MERGED.fastq.gz   P27-ABM001_S155_MERGED.fastq.gz  #>                         0.6388889                         0.6388889  #> Q27-ABM003-B_S156_MERGED.fastq.gz     R25-ABMX_S157_MERGED.fastq.gz  #>                         0.7572016                         0.8363636  #>    R28-008-B_S158_MERGED.fastq.gz    R28-008-H_S159_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>    R28-008-M_S160_MERGED.fastq.gz      T28-011_S161_MERGED.fastq.gz  #>                         1.0000000                         0.7572016  #> T28-ABM602-B_S162_MERGED.fastq.gz   U27-ABM002_S163_MERGED.fastq.gz  #>                         0.6388889                         0.8363636  #>     W25-ABMX_S164_MERGED.fastq.gz    W26-001-B_S165_MERGED.fastq.gz  #>                         0.7572016                         1.0000000  #>    W26-001-H_S166_MERGED.fastq.gz    W26-001-M_S167_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>      W30-006_S168_MERGED.fastq.gz     W9-025-M_S169_MERGED.fastq.gz  #>                         0.7572016                         0.6388889  #>    X24-009-B_S170_MERGED.fastq.gz    X24-009-H_S171_MERGED.fastq.gz  #>                         1.0000000                         0.6388889  #>    X24-009-M_S172_MERGED.fastq.gz      X24-010_S173_MERGED.fastq.gz  #>                         0.6388889                         0.6388889  #>    X29-004-B_S174_MERGED.fastq.gz    X29-004-H_S175_MERGED.fastq.gz  #>                         0.6388889                         0.8363636  #>    X29-004-M_S176_MERGED.fastq.gz Y21-ABM484-H_S177_MERGED.fastq.gz  #>                         1.0000000                         0.9972900  #>    Y28-002-B_S178_MERGED.fastq.gz    Y28-002-H_S179_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>    Y28-002-M_S180_MERGED.fastq.gz    Y29-007-B_S181_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>    Y29-007-H_S182_MERGED.fastq.gz    Y29-007-M_S183_MERGED.fastq.gz  #>                         1.0000000                         0.6388889  #> Y31-ABM484-B_S184_MERGED.fastq.gz    Z29-001-H_S185_MERGED.fastq.gz  #>                         0.6388889                         0.9972900  #>      Z30-002_S186_MERGED.fastq.gz Z30-ABM560-M_S187_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>  #> $method #> [1] \"jaccard\"      \"sqrt.D=FALSE\" #>  #> $note #> [1] \"Info -- D is Euclidean because beta.div outputs D[jk] = sqrt(1-S[jk])\" #> [2] \"For this D functions, use beta.div with option sqrt.D=FALSE\"           #>  #> $D #> [1] NA #>  #> attr(,\"class\") #> [1] \"beta.div\""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/MiscMetabar-deprecated.html","id":null,"dir":"Reference","previous_headings":"","what":"Deprecated function(s) in the MiscMetabar package — MiscMetabar-deprecated","title":"Deprecated function(s) in the MiscMetabar package — MiscMetabar-deprecated","text":"functions provided compatibility older version MiscMetabar package. may eventually completely removed.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/MiscMetabar-deprecated.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Deprecated function(s) in the MiscMetabar package — MiscMetabar-deprecated","text":"","code":"physeq_graph_test(...)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/MiscMetabar-deprecated.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Deprecated function(s) in the MiscMetabar package — MiscMetabar-deprecated","text":"... Parameters passed modern version function","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/MiscMetabar-deprecated.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Deprecated function(s) in the MiscMetabar package — MiscMetabar-deprecated","text":"Depend functions.","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/MiscMetabar-package.html","id":null,"dir":"Reference","previous_headings":"","what":"MiscMetabar package — MiscMetabar-package","title":"MiscMetabar package — MiscMetabar-package","text":"Functions help analyze visualize metabarcoding data. Mainly based phyloseq dada2 packages.","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/SRS_curve_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Scaling with ranked subsampling (SRS) curve of phyloseq object — SRS_curve_pq","text":"","code":"SRS_curve_pq(physeq, clean_pq = FALSE, ...)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/SRS_curve_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Scaling with ranked subsampling (SRS) curve of phyloseq object — SRS_curve_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. clean_pq (logical): phyloseq object cleaned using clean_pq() function? ... arguments passed SRS::SRScurve()","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/SRS_curve_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Scaling with ranked subsampling (SRS) curve of phyloseq object — SRS_curve_pq","text":"plot","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/Tengeler2020_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"This tutorial explore the dataset from Tengeler et al. (2020) available in the mia package.\nobtain using mia::makePhyloseqFromTreeSE(Tengeler2020) — Tengeler2020_pq","title":"This tutorial explore the dataset from Tengeler et al. (2020) available in the mia package.\nobtain using mia::makePhyloseqFromTreeSE(Tengeler2020) — Tengeler2020_pq","text":"phyloseq version Tengeler2020 dataset.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/Tengeler2020_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"This tutorial explore the dataset from Tengeler et al. (2020) available in the mia package.\nobtain using mia::makePhyloseqFromTreeSE(Tengeler2020) — Tengeler2020_pq","text":"","code":"data(Tengeler2020_pq)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/Tengeler2020_pq.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"This tutorial explore the dataset from Tengeler et al. (2020) available in the mia package.\nobtain using mia::makePhyloseqFromTreeSE(Tengeler2020) — Tengeler2020_pq","text":"phyloseq object","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/Tengeler2020_pq.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"This tutorial explore the dataset from Tengeler et al. (2020) available in the mia package.\nobtain using mia::makePhyloseqFromTreeSE(Tengeler2020) — Tengeler2020_pq","text":"Tengeler2020 includes gut microbiota profiles 27 persons ADHD. standard bioinformatic statistical analysis done demonstrate altered microbial composition driver altered brain structure function concomitant changes animals behavior. investigated colonizing young, male, germ-free C57BL/6JOlaHsd mice microbiota individuals without ADHD. Tengeler, .C., Dam, S.., Wiesmann, M. et al. Gut microbiota persons attention-deficit/hyperactivity disorder affects brain mice. Microbiome 8, 44 (2020). https://microbiomejournal.biomedcentral.com/articles/10.1186/s40168-020-00816-x","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/accu_plot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot accumulation curves for phyloseq-class object — accu_plot","text":"","code":"accu_plot(   physeq,   fact = NULL,   add_nb_seq = TRUE,   step = NULL,   by.fact = FALSE,   ci_col = NULL,   col = NULL,   lwd = 3,   leg = TRUE,   print_sam_names = FALSE,   ci = 2,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/accu_plot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot accumulation curves for phyloseq-class object — accu_plot","text":"physeq (required): phyloseq-class object obtained using phyloseq package. fact (required) Name factor physeq@sam_data used plot different lines add_nb_seq (default: TRUE, logical) Either plot accumulation curves using sequences using samples step (Integer) distance among points calculated plot lines. low value give better plot time consuming. used add_nb_seq = TRUE. .fact (default: FALSE, logical) First merge OTU table factor plot one line factor ci_col Color vector confidence interval. use add_nb_seq = FALSE. add_nb_seq = TRUE, can use ggplot modify plot. col Color vector lines. use add_nb_seq = FALSE. add_nb_seq = TRUE, can use ggplot modify plot. lwd (default: 3) thickness lines. use add_nb_seq = FALSE. leg (default: TRUE, logical) Plot legend . use add_nb_seq = FALSE. print_sam_names (default: FALSE, logical) Print samples names ? use add_nb_seq = TRUE. ci (default: 2, integer) Confidence interval value used multiply standard error plot confidence interval ... Additional arguments passed ggplot add_nb_seq = TRUE plot add_nb_seq = FALSE","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/accu_plot.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot accumulation curves for phyloseq-class object — accu_plot","text":"ggplot2 plot representing richness accumulation plot add_nb_seq = TRUE, else, add_nb_seq = FALSE return base plot.","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/accu_plot.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot accumulation curves for phyloseq-class object — accu_plot","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/accu_plot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot accumulation curves for phyloseq-class object — accu_plot","text":"","code":"data(\"GlobalPatterns\", package = \"phyloseq\") GP <- subset_taxa(GlobalPatterns, GlobalPatterns@tax_table[, 1] == \"Archaea\") #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ GP <- rarefy_even_depth(subset_samples_pq(GP, sample_sums(GP) > 3000)) #> You set `rngseed` to FALSE. Make sure you've set & recorded #>  the random seed of your session for reproducibility. #> See `?set.seed` #> ... #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> 56OTUs were removed because they are no longer  #> present in any sample after random subsampling #> ... #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ p <- accu_plot(GP, \"SampleType\", add_nb_seq = TRUE, by.fact = TRUE, step = 10) p <- accu_plot(GP, \"SampleType\", add_nb_seq = TRUE, step = 10) #> Warning: no non-missing arguments to max; returning -Inf  p + theme(legend.position = \"none\") #> Warning: Removed 8 rows containing missing values (`geom_line()`).   p + xlim(c(0, 400)) #> Warning: Removed 3256 rows containing missing values (`geom_line()`)."},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/accu_samp_threshold.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute the number of sequence to obtain a given proportion of ASV in\naccumulation curves — accu_samp_threshold","text":"","code":"accu_samp_threshold(res_accuplot, threshold = 0.95)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/accu_samp_threshold.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute the number of sequence to obtain a given proportion of ASV in\naccumulation curves — accu_samp_threshold","text":"res_accuplot result function accu_plot() threshold proportion ASV obtain samples","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/accu_samp_threshold.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute the number of sequence to obtain a given proportion of ASV in\naccumulation curves — accu_samp_threshold","text":"value samples number sequences needed obtain threshold proportion ASV","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/accu_samp_threshold.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Compute the number of sequence to obtain a given proportion of ASV in\naccumulation curves — accu_samp_threshold","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/accu_samp_threshold.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compute the number of sequence to obtain a given proportion of ASV in\naccumulation curves — accu_samp_threshold","text":"","code":"data(\"GlobalPatterns\", package = \"phyloseq\") GP <- subset_taxa(GlobalPatterns, GlobalPatterns@tax_table[, 1] == \"Archaea\") #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ GP <- rarefy_even_depth(subset_samples_pq(GP, sample_sums(GP) > 3000)) #> You set `rngseed` to FALSE. Make sure you've set & recorded #>  the random seed of your session for reproducibility. #> See `?set.seed` #> ... #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> 72OTUs were removed because they are no longer  #> present in any sample after random subsampling #> ... #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ p <- accu_plot(GP, \"SampleType\", add_nb_seq = TRUE, by.fact = TRUE, step = 10)  val_threshold <- accu_samp_threshold(p)  summary(val_threshold) #>    Min. 1st Qu.  Median    Mean 3rd Qu.    Max.  #>    3661    6084    6976    6814    7706    9641   # Plot the number of sequences needed to accumulate 0.95% of ASV in 50%, 75% # and 100% of samples p + geom_vline(xintercept = quantile(val_threshold, probs = c(0.50, 0.75, 1))) #> Warning: Removed 1 row containing missing values (`geom_line()`)."},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_blast_info.html","id":null,"dir":"Reference","previous_headings":"","what":"Add information from blast_pq() to the tax_table slot of a phyloseq object — add_blast_info","title":"Add information from blast_pq() to the tax_table slot of a phyloseq object — add_blast_info","text":"Basically wrapper blast_pq() option unique_per_seq = TRUE score_filter = FALSE. Add information taxtable","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_blast_info.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add information from blast_pq() to the tax_table slot of a phyloseq object — add_blast_info","text":"","code":"add_blast_info(physeq, fasta_for_db, silent = FALSE, ...)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_blast_info.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add information from blast_pq() to the tax_table slot of a phyloseq object — add_blast_info","text":"physeq (required): phyloseq-class object obtained using phyloseq package. fasta_for_db path fasta file make blast database silent (logical) true, message printing. ... arguments passed blast_pq() function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_blast_info.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add information from blast_pq() to the tax_table slot of a phyloseq object — add_blast_info","text":"physeq object information tax_table based blast given database","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_blast_info.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Add information from blast_pq() to the tax_table slot of a phyloseq object — add_blast_info","text":"Adrien Taudière","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_dna_to_phyloseq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add dna in refseq slot of a physeq object using taxa names and renames taxa\nusing ASV_1, ASV_2, … — add_dna_to_phyloseq","text":"","code":"add_dna_to_phyloseq(physeq)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_dna_to_phyloseq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add dna in refseq slot of a physeq object using taxa names and renames taxa\nusing ASV_1, ASV_2, … — add_dna_to_phyloseq","text":"physeq (required): phyloseq-class object obtained using phyloseq package.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_dna_to_phyloseq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add dna in refseq slot of a physeq object using taxa names and renames taxa\nusing ASV_1, ASV_2, … — add_dna_to_phyloseq","text":"new phyloseq-class object refseq slot new taxa names","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_funguild_info.html","id":null,"dir":"Reference","previous_headings":"","what":"Add information about Guild for FUNGI the FUNGuild databse — add_funguild_info","title":"Add information about Guild for FUNGI the FUNGuild databse — add_funguild_info","text":"Please cite Nguyen et al. 2016 (doi:10.1016/j.funeco.2015.06.006 )","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_funguild_info.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add information about Guild for FUNGI the FUNGuild databse — add_funguild_info","text":"","code":"add_funguild_info(   physeq,   taxLevels = c(\"Kingdom\", \"Phylum\", \"Class\", \"Order\", \"Family\", \"Genus\", \"Species\") )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_funguild_info.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add information about Guild for FUNGI the FUNGuild databse — add_funguild_info","text":"physeq (required): phyloseq-class object obtained using phyloseq package. taxLevels Name 7 columns tax_table required funguild","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_funguild_info.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add information about Guild for FUNGI the FUNGuild databse — add_funguild_info","text":"new object class physeq Guild information added tax_table slot","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_funguild_info.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Add information about Guild for FUNGI the FUNGuild databse — add_funguild_info","text":"function mainly wrapper work others. Please make reference FUNGuildR package associate publication use function.","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_funguild_info.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Add information about Guild for FUNGI the FUNGuild databse — add_funguild_info","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_funguild_info.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Add information about Guild for FUNGI the FUNGuild databse — add_funguild_info","text":"","code":"df <- subset_taxa_pq(data_fungi, taxa_sums(data_fungi) > 5000) #> Cleaning suppress 0 taxa (  ) and 8 sample(s) ( C21-NV1-M_S64_MERGED.fastq.gz / DY5-004-M_S98_MERGED.fastq.gz / E9-009-B_S100_MERGED.fastq.gz / N22-001-B_S129_MERGED.fastq.gz / O20-X-B_S139_MERGED.fastq.gz / O21-007-M_S144_MERGED.fastq.gz / W26-001-M_S167_MERGED.fastq.gz / Y29-007-H_S182_MERGED.fastq.gz ). #> Number of non-matching ASV 0 #> Number of matching ASV 1420 #> Number of filtered-out ASV 1337 #> Number of kept ASV 83 #> Number of kept samples 177 if (FALSE) { df <- add_funguild_info(df,   taxLevels = c(     \"Domain\", \"Phylum\", \"Class\", \"Order\",     \"Family\", \"Genus\", \"Species\"   ) ) sort(table(df@tax_table[, \"guild\"]), decreasing = TRUE) }"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_info_to_sam_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Add information to sample_data slot of a phyloseq-class object — add_info_to_sam_data","title":"Add information to sample_data slot of a phyloseq-class object — add_info_to_sam_data","text":"Warning: value nb_seq nb_otu may outdated transform phyloseq object, e.g. using subset_taxa_pq() function","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_info_to_sam_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add information to sample_data slot of a phyloseq-class object — add_info_to_sam_data","text":"","code":"add_info_to_sam_data(   physeq,   df_info = NULL,   add_nb_seq = TRUE,   add_nb_otu = TRUE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_info_to_sam_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add information to sample_data slot of a phyloseq-class object — add_info_to_sam_data","text":"physeq (required): phyloseq-class object obtained using phyloseq package. df_info : dataframe rownames matching sample names phyloseq object add_nb_seq (Logical, default TRUE) add column nb_seq collecting number sequences per sample? add_nb_otu (Logical, default TRUE) add column nb_otu collecting number OTUs per sample?","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_info_to_sam_data.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add information to sample_data slot of a phyloseq-class object — add_info_to_sam_data","text":"phyloseq object updated sam_data slot","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_info_to_sam_data.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Add information to sample_data slot of a phyloseq-class object — add_info_to_sam_data","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_info_to_sam_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Add information to sample_data slot of a phyloseq-class object — add_info_to_sam_data","text":"","code":"data_fungi <- add_info_to_sam_data(data_fungi) boxplot(data_fungi@sam_data$nb_otu ~ data_fungi@sam_data$Time)   new_df <- data.frame(   variable_1 = runif(n = nsamples(data_fungi), min = 1, max = 20),   variable_2 = runif(n = nsamples(data_fungi), min = 1, max = 2) ) rownames(new_df) <- sample_names(data_fungi) data_fungi <- add_info_to_sam_data(data_fungi, new_df) plot(data_fungi@sam_data$nb_otu ~ data_fungi@sam_data$variable_1)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_new_taxonomy_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Add new taxonomic rank to a phyloseq object. — add_new_taxonomy_pq","title":"Add new taxonomic rank to a phyloseq object. — add_new_taxonomy_pq","text":"One main use function add taxonomic assignment new database.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_new_taxonomy_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add new taxonomic rank to a phyloseq object. — add_new_taxonomy_pq","text":"","code":"add_new_taxonomy_pq(physeq, ref_fasta, suffix = NULL, ...)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_new_taxonomy_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add new taxonomic rank to a phyloseq object. — add_new_taxonomy_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. ref_fasta (required) link database. Pass dada2::assignTaxonomy. suffix (character) suffix name new columns. set NULL (default), basename file reFasta used. ... Others arguments pass dada2::assignTaxonomy.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_new_taxonomy_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add new taxonomic rank to a phyloseq object. — add_new_taxonomy_pq","text":"physeq object larger slot tax_table","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_new_taxonomy_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Add new taxonomic rank to a phyloseq object. — add_new_taxonomy_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/adonis_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Permanova on a phyloseq object — adonis_pq","title":"Permanova on a phyloseq object — adonis_pq","text":"wrapper vegan::adonis2() function case physeq object.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/adonis_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Permanova on a phyloseq object — adonis_pq","text":"","code":"adonis_pq(   physeq,   formula,   dist_method = \"bray\",   merge_sample_by = NULL,   na_remove = FALSE,   correction_for_sample_size = FALSE,   rarefy_nb_seqs = FALSE,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/adonis_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Permanova on a phyloseq object — adonis_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. formula (required) right part formula vegan::adonis2(). Variables must present physeq@sam_data slot. dist_method (default \"bray\") distance used. See phyloseq::distance() available distances run phyloseq::distanceMethodList(). aitchison robust.aitchison distance, vegan::vegdist() function directly used. merge_sample_by vector determine samples merge using merge_samples2() function. Need physeq@sam_data na_remove (logical, default FALSE) set TRUE, remove samples NA variables set formula. correction_for_sample_size (logical, default FALSE) set TRUE, sample size (number sequences samples) add formula form y~Library_Size + Biological_Effect following recommendation Weiss et al. 2017. correction_for_sample_size overcome rarefy_nb_seqs TRUE. rarefy_nb_seqs (logical, default FALSE) Rarefy sample (merging merge_sample_by set) using phyloseq::rarefy_even_depth(). correction_for_sample_size TRUE, rarefy_nb_seqs effect. ... arguments passed vegan::adonis2() function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/adonis_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Permanova on a phyloseq object — adonis_pq","text":"function returns anova.cca result object new column partial R^2. See help vegan::adonis2() information.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/adonis_pq.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Permanova on a phyloseq object — adonis_pq","text":"function mainly wrapper work others. Please make reference vegan::adonis2() use function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/adonis_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Permanova on a phyloseq object — adonis_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/adonis_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Permanova on a phyloseq object — adonis_pq","text":"","code":"data(enterotype) adonis_pq(enterotype, \"SeqTech*Enterotype\", na_remove = TRUE) #> Taxa are now in columns. #> [1] \"SeqTech\" #> [1] \"Enterotype\" #> 9 were discarded due to NA in variables present in formula. #> Permutation test for adonis under reduced model #> Terms added sequentially (first to last) #> Permutation: free #> Number of permutations: 999 #>  #> vegan::adonis2(formula = .formula, data = metadata) #>                     Df SumOfSqs      R2        F Pr(>F)     #> SeqTech              2   29.175 0.54055 242.2289  0.001 *** #> Enterotype           2    8.651 0.16028  71.8250  0.001 *** #> SeqTech:Enterotype   4    0.368 0.00683   1.5293  0.103     #> Residual           262   15.778 0.29234                     #> Total              270   53.972 1.00000                     #> --- #> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 adonis_pq(enterotype, \"SeqTech\") #> Taxa are now in columns. #> Permutation test for adonis under reduced model #> Terms added sequentially (first to last) #> Permutation: free #> Number of permutations: 999 #>  #> vegan::adonis2(formula = .formula, data = metadata) #>           Df SumOfSqs      R2      F Pr(>F)     #> SeqTech    2   30.538 0.53153 157.14  0.001 *** #> Residual 277   26.915 0.46847                   #> Total    279   57.453 1.00000                   #> --- #> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 adonis_pq(enterotype, \"SeqTech\", dist_method = \"jaccard\") #> Taxa are now in columns. #> Permutation test for adonis under reduced model #> Terms added sequentially (first to last) #> Permutation: free #> Number of permutations: 999 #>  #> vegan::adonis2(formula = .formula, data = metadata) #>           Df SumOfSqs      R2      F Pr(>F)     #> SeqTech    2   31.330 0.40211 93.147  0.001 *** #> Residual 277   46.585 0.59789                   #> Total    279   77.915 1.00000                   #> --- #> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 adonis_pq(enterotype, \"SeqTech\", dist_method = \"robust.aitchison\") #> Taxa are now in columns. #> Permutation test for adonis under reduced model #> Terms added sequentially (first to last) #> Permutation: free #> Number of permutations: 999 #>  #> vegan::adonis2(formula = .formula, data = metadata) #>           Df SumOfSqs      R2      F Pr(>F)     #> SeqTech    2    83943 0.71401 345.79  0.001 *** #> Residual 277    33622 0.28599                   #> Total    279   117565 1.00000                   #> --- #> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/all_object_size.html","id":null,"dir":"Reference","previous_headings":"","what":"List the size of all objects of the GlobalEnv. — all_object_size","title":"List the size of all objects of the GlobalEnv. — all_object_size","text":"Code https://tolstoy.newcastle.edu.au/R/e6/help/09/01/1121.html","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/all_object_size.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"List the size of all objects of the GlobalEnv. — all_object_size","text":"","code":"all_object_size()"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/all_object_size.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"List the size of all objects of the GlobalEnv. — all_object_size","text":"list size","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ancombc_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Run ANCOMBC2 on phyloseq object — ancombc_pq","title":"Run ANCOMBC2 on phyloseq object — ancombc_pq","text":"wrapper ANCOMBC::ancombc2() function","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ancombc_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run ANCOMBC2 on phyloseq object — ancombc_pq","text":"","code":"ancombc_pq(physeq, fact, levels_fact = NULL, tax_level = \"Class\", ...)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ancombc_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run ANCOMBC2 on phyloseq object — ancombc_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. fact (required) Name factor physeq@sam_data used plot different lines levels_fact (default NULL) order level factor. Used reorder levels select levels (filter levels present en levels_fact) tax_level taxonomic level passed ANCOMBC::ancombc2() ... arguments passed ANCOMBC::ancombc2() function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ancombc_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run ANCOMBC2 on phyloseq object — ancombc_pq","text":"result ANCOMBC::ancombc2() function","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ancombc_pq.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Run ANCOMBC2 on phyloseq object — ancombc_pq","text":"function mainly wrapper work others. Please make reference ANCOMBC::ancombc2() use function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ancombc_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Run ANCOMBC2 on phyloseq object — ancombc_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ancombc_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run ANCOMBC2 on phyloseq object — ancombc_pq","text":"","code":"res_height <- ancombc_pq(   data_fungi_mini,   fact = \"Height\",   levels_fact = c(\"Low\", \"High\"),   verbose = TRUE ) #> Warning: The group variable has < 3 categories  #> The multi-group comparisons (global/pairwise/dunnet/trend) will be deactivated #> Warning: The number of taxa used for estimating sample-specific biases is: 11 #> A large number of taxa (>50) is required for the consistent estimation of biases #> Obtaining initial estimates ... #> Estimating sample-specific biases ... #> Loading required package: foreach #> Loading required package: rngtools #> Warning: Estimation of sampling fractions failed for the following samples: #> B18-006-B_S19_MERGED.fastq.gz, DY5-004-B_S96_MERGED.fastq.gz, W26-001-B_S165_MERGED.fastq.gz, X24-009-B_S170_MERGED.fastq.gz, X29-004-B_S174_MERGED.fastq.gz, Y28-002-B_S178_MERGED.fastq.gz, Z29-001-H_S185_MERGED.fastq.gz #> These samples may have an excessive number of zero values #> Sensitivity analysis for pseudo-count addition to 0s: ... #> ANCOM-BC2 primary results ...  ggplot(   res_height$res,   aes(     y = reorder(taxon, lfc_HeightHigh),     x = lfc_HeightHigh,     color = diff_HeightHigh   ) ) +   geom_vline(xintercept = 0) +   geom_segment(aes(     xend = 0, y = reorder(taxon, lfc_HeightHigh),     yend = reorder(taxon, lfc_HeightHigh)   ), color = \"darkgrey\") +   geom_point()   res_time <- ancombc_pq(   data_fungi_mini,   fact = \"Time\",   levels_fact = c(\"0\", \"15\"),   tax_level = \"Family\",   verbose = TRUE ) #> Warning: The group variable has < 3 categories  #> The multi-group comparisons (global/pairwise/dunnet/trend) will be deactivated #> Warning: The number of taxa used for estimating sample-specific biases is: 9 #> A large number of taxa (>50) is required for the consistent estimation of biases #> Obtaining initial estimates ... #> Estimating sample-specific biases ... #> Warning: Estimation of sampling fractions failed for the following samples: #> BT-006-M_S55_MERGED.fastq.gz, C21-NV1-B_S62_MERGED.fastq.gz, CB8-019-H_S70_MERGED.fastq.gz, DY5-004-B_S96_MERGED.fastq.gz, DY5-004-H_S97_MERGED.fastq.gz, J18-004-M_S116_MERGED.fastq.gz, W26-001-B_S165_MERGED.fastq.gz, X24-009-B_S170_MERGED.fastq.gz #> These samples may have an excessive number of zero values #> Sensitivity analysis for pseudo-count addition to 0s: ... #> ANCOM-BC2 primary results ..."},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/are_modality_even_depth.html","id":null,"dir":"Reference","previous_headings":"","what":"Test if the mean number of sequences by samples is link to the modality of\na factor — are_modality_even_depth","title":"Test if the mean number of sequences by samples is link to the modality of\na factor — are_modality_even_depth","text":"aim function provide warnings samples depth significantly vary among modalities factor present sam_data slot. function apply Kruskal-Wallis rank sum test number sequences per samples function factor fact.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/are_modality_even_depth.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Test if the mean number of sequences by samples is link to the modality of\na factor — are_modality_even_depth","text":"","code":"are_modality_even_depth(physeq, fact, boxplot = FALSE)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/are_modality_even_depth.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Test if the mean number of sequences by samples is link to the modality of\na factor — are_modality_even_depth","text":"physeq (required): phyloseq-class object obtained using phyloseq package. fact (required): Name factor cluster samples modalities. Need physeq@sam_data. boxplot (logical) want plot boxplot?","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/are_modality_even_depth.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Test if the mean number of sequences by samples is link to the modality of\na factor — are_modality_even_depth","text":"result Kruskal-Wallis rank sum test","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/are_modality_even_depth.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Test if the mean number of sequences by samples is link to the modality of\na factor — are_modality_even_depth","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/are_modality_even_depth.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Test if the mean number of sequences by samples is link to the modality of\na factor — are_modality_even_depth","text":"","code":"are_modality_even_depth(data_fungi, \"Time\")$p.value #> [1] 2.047777e-13 are_modality_even_depth(rarefy_even_depth(data_fungi), \"Time\")$p.value #> You set `rngseed` to FALSE. Make sure you've set & recorded #>  the random seed of your session for reproducibility. #> See `?set.seed` #> ... #> 1031OTUs were removed because they are no longer  #> present in any sample after random subsampling #> ... #> All modality were undoubtedly rarefy in the physeq object. #> [1] 1 are_modality_even_depth(data_fungi, \"Height\", boxplot = TRUE)  #>  #> \tKruskal-Wallis rank sum test #>  #> data:  nb_seq by fact #> Kruskal-Wallis chi-squared = 1.5366, df = 2, p-value = 0.4638 #>"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/as_binary_otu_table.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Transform the otu_table of a phyloseq-class object into a\nphyloseq-class object with a binary otu_table. — as_binary_otu_table","text":"","code":"as_binary_otu_table(physeq, min_number = 1)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/as_binary_otu_table.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Transform the otu_table of a phyloseq-class object into a\nphyloseq-class object with a binary otu_table. — as_binary_otu_table","text":"physeq (required): phyloseq-class object obtained using phyloseq package. min_number (int) minimum number sequences put 1 otu table.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/as_binary_otu_table.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Transform the otu_table of a phyloseq-class object into a\nphyloseq-class object with a binary otu_table. — as_binary_otu_table","text":"physeq object 0/1 OTU table","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/as_binary_otu_table.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Transform the otu_table of a phyloseq-class object into a\nphyloseq-class object with a binary otu_table. — as_binary_otu_table","text":"Useful test results biased sequences bias appended PCR NGS pipeline.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/as_binary_otu_table.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Transform the otu_table of a phyloseq-class object into a\nphyloseq-class object with a binary otu_table. — as_binary_otu_table","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/as_binary_otu_table.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Transform the otu_table of a phyloseq-class object into a\nphyloseq-class object with a binary otu_table. — as_binary_otu_table","text":"","code":"data(enterotype) enterotype_bin <- as_binary_otu_table(enterotype)"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/asv2otu.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Recluster sequences of an object of class physeq\nor a list of DNA sequences — asv2otu","text":"","code":"asv2otu(   physeq = NULL,   dna_seq = NULL,   nproc = 1,   method = \"clusterize\",   id = 0.97,   vsearchpath = \"vsearch\",   tax_adjust = 0,   vsearch_cluster_method = \"--cluster_size\",   vsearch_args = \"--strand both\",   keep_temporary_files = FALSE,   swarmpath = \"swarm\",   d = 1,   swarm_args = \"--fastidious\",   method_clusterize = \"overlap\",   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/asv2otu.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Recluster sequences of an object of class physeq\nor a list of DNA sequences — asv2otu","text":"physeq (required): phyloseq-class object obtained using phyloseq package. dna_seq may directly use character vector DNA sequences place physeq args. physeq set, dna sequences take value physeq@refseq nproc (default: 1) Set number cpus/processors use clustering method (default: clusterize) Set clustering method. clusterize use DECIPHER::Clusterize() fonction, vsearch use vsearch software (https://github.com/torognes/vsearch) arguments --cluster_size default (see args vsearch_cluster_method) -strand (see args vsearch_args) swarm use swarm id (default: 0.97) level identity cluster vsearchpath (default: vsearch) path vsearch tax_adjust (Default 0) See man page merge_taxa_vec() details. conserved taxonomic rank abundant ASV, set tax_adjust 0 (default). moment tax_adjust = 0 robust vsearch_cluster_method (default: \"--cluster_size) See possible methods vsearch manual (e.g. --cluster_size --cluster_smallmem) --cluster_fast : Clusterize fasta sequences filename, automatically sort decreasing sequence length beforehand. --cluster_size : Clusterize fasta sequences filename, automatically sort decreasing sequence abundance beforehand. --cluster_smallmem : Clusterize fasta sequences filename without automatically modifying order beforehand. Sequence expected sorted decreasing sequence length, unless --usersort used. case may set vsearch_args vsearch_args = \"--strand --usersort\" vsearch_args (default : \"--strand \") one length character element defining parameters passed vsearch. keep_temporary_files (logical, default: FALSE) keep temporary files temp.fasta (refseq fasta dna_seq sequences) cluster.fasta (centroid method = \"vsearch\") temp.uc (clusters method = \"vsearch\") swarmpath (default: swarm) path swarm d (default: 1) maximum number differences allowed two amplicons, meaning two amplicons grouped d (less) differences swarm_args (default : \"--fastidious\") one length character element defining parameters  passed swarm See possible methods SWARM pdf manual method_clusterize (default \"overlap\") method DECIPHER::Clusterize() method ... Others arguments passed DECIPHER::Clusterize()","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/asv2otu.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Recluster sequences of an object of class physeq\nor a list of DNA sequences — asv2otu","text":"new object class physeq list cluster dna_seq args used.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/asv2otu.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Recluster sequences of an object of class physeq\nor a list of DNA sequences — asv2otu","text":"function use merge_taxa_vec function merge taxa clusters. default tax_adjust = 0. See man page merge_taxa_vec().","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/asv2otu.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Recluster sequences of an object of class physeq\nor a list of DNA sequences — asv2otu","text":"VSEARCH can downloaded https://github.com/torognes/vsearch. information associated publication https://pubmed.ncbi.nlm.nih.gov/27781170.","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/asv2otu.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Recluster sequences of an object of class physeq\nor a list of DNA sequences — asv2otu","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/asv2otu.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Recluster sequences of an object of class physeq\nor a list of DNA sequences — asv2otu","text":"","code":"asv2otu(data_fungi_mini) #> Partitioning sequences by 3-mer similarity: #> ================================================================================ #> Time difference of 0.02 secs #>  #> Sorting by relatedness within 23 groups: #>  iteration 1 of up to 10 (100.0% stability)  #>  #> Time difference of 0.01 secs #>  #> Clustering sequences by 8-mer similarity: #> Warning: object 'temp' not found #> ================================================================================ #>  #> Time difference of 0.06 secs #>  #> Clusters via relatedness sorting: 100% (0% exclusively) #> Clusters via rare 3-mers: 100% (0% exclusively) #> Estimated clustering effectiveness: 100% #>  #> phyloseq-class experiment-level object #> otu_table()   OTU Table:         [ 32 taxa and 137 samples ] #> sample_data() Sample Data:       [ 137 samples by 7 sample variables ] #> tax_table()   Taxonomy Table:    [ 32 taxa by 12 taxonomic ranks ] #> refseq()      DNAStringSet:      [ 32 reference sequences ] asv2otu(data_fungi_mini, method_clusterize = \"longest\") #> Partitioning sequences by 3-mer similarity: #> ================================================================================ #> Time difference of 0.02 secs #>  #> Sorting by relatedness within 23 groups: #>  iteration 1 of up to 10 (100.0% stability)  #>  #> Time difference of 0.01 secs #>  #> Clustering sequences by 8-mer similarity: #> Warning: object 'temp' not found #> ================================================================================ #>  #> Time difference of 0.05 secs #>  #> Clusters via relatedness sorting: 100% (0% exclusively) #> Clusters via rare 3-mers: 100% (0% exclusively) #> Estimated clustering effectiveness: 100% #>  #> phyloseq-class experiment-level object #> otu_table()   OTU Table:         [ 32 taxa and 137 samples ] #> sample_data() Sample Data:       [ 137 samples by 7 sample variables ] #> tax_table()   Taxonomy Table:    [ 32 taxa by 12 taxonomic ranks ] #> refseq()      DNAStringSet:      [ 32 reference sequences ] if (MiscMetabar:::is_swarm_installed()) {   d_swarm <- asv2otu(data_fungi_mini, method = \"swarm\") } if (MiscMetabar:::is_vsearch_installed()) {   d_vs <- asv2otu(data_fungi_mini, method = \"vsearch\") }"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/biplot_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Visualization of two samples for comparison — biplot_pq","text":"","code":"biplot_pq(   physeq,   fact = NULL,   merge_sample_by = NULL,   rarefy_after_merging = FALSE,   inverse_side = FALSE,   left_name = NULL,   left_name_col = \"#4B3E1E\",   left_fill = \"#4B3E1E\",   left_col = \"#f3f2d9\",   right_name = NULL,   right_name_col = \"#1d2949\",   right_fill = \"#1d2949\",   right_col = \"#1d2949\",   log10trans = TRUE,   nudge_y = c(0.3, 0.3),   geom_label = FALSE,   text_size = 3,   size_names = 5,   y_names = NA,   ylim_modif = c(1, 1),   nb_samples_info = TRUE,   plotly_version = FALSE,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/biplot_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Visualization of two samples for comparison — biplot_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. fact (default: NULL) Name factor physeq@sam_data. left NULL use left_name right_name parameter modality. merge_sample_by (default: NULL) NULL samples physeq merged using vector set merge_sample_by. merging used merge_samples2(). case biplot_pq() must factor two levels . rarefy_after_merging Rarefy sample merging modalities merge_sample_by inverse_side Inverse side (put right modality left side). left_name Name fo left sample. left_name_col Color left name left_fill Fill fo left sample. left_col Color fo left sample. right_name Name fo right sample. right_name_col Color right name right_fill Fill fo right sample. right_col Color fo right sample. log10trans (logical) abundancy log10 transformed ? nudge_y parameter control y position abundancy values. vector two values set. first value left side. second value right one. one value set, value used side. geom_label (default: FALSE, logical) TRUE use ggplot2::geom_label() function instead ggplot2::geom_text() indicate numbers sequences. text_size size number sequences size_names size names 2 samples y_names y position names 2 samples. NA (default), computed using maximum abundances values. ylim_modif vector two values. Modificator (multiplication) ylim. one value set, value used limits. nb_samples_info (default: TRUE, logical) TRUE merge_sample_by set, add number samples merged levels. plotly_version TRUE, use plotly::ggplotly() return interactive ggplot. ... arguments ggplot function","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/biplot_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Visualization of two samples for comparison — biplot_pq","text":"plot","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/biplot_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Visualization of two samples for comparison — biplot_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/biplot_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Visualization of two samples for comparison — biplot_pq","text":"","code":"data_fungi_2Height <- subset_samples(data_fungi, Height %in% c(\"Low\", \"High\")) biplot_pq(data_fungi_2Height, \"Height\", merge_sample_by = \"Height\") #> Cleaning suppress 256 taxa and 0 samples. #> Scale for y is already present. #> Adding another scale for y, which will replace the existing scale. #> Warning: Removed 1 rows containing missing values (`geom_rect()`)."},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/blast_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Blast all sequence of refseq slot of a phyloseq-class\nobject against a custom database. — blast_pq","text":"","code":"blast_pq(   physeq,   fasta_for_db = NULL,   database = NULL,   blastpath = NULL,   id_cut = 90,   bit_score_cut = 50,   min_cover_cut = 50,   e_value_cut = 1e-30,   unique_per_seq = FALSE,   score_filter = TRUE,   nproc = 1,   args_makedb = NULL,   args_blastn = NULL,   keep_temporary_files = FALSE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/blast_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Blast all sequence of refseq slot of a phyloseq-class\nobject against a custom database. — blast_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. fasta_for_db path fasta file make blast database database path blast database blastpath path blast program id_cut (default: 90) cut identity percent keep result bit_score_cut (default: 50) cut bit score keep result higher bit-score, better sequence similarity. bit-score requires size sequence database current match found just chance. bit-score log2 scaled normalized raw-score. increase one doubles required database size (2bit-score). min_cover_cut (default: 50) cut query cover (%) keep result e_value_cut (default: 1e-30)  cut e-value (%) keep result BLAST E-value number expected hits similar quality (score) found just chance. unique_per_seq (logical, default FALSE) TRUE return better match (higher bit score) sequence score_filter (logical, default TRUE) results filter score? FALSE, id_cut,bit_score_cut, e_value_cut min_cover_cut ignored nproc (default: 1) Set number cpus/processors use blast (args -num_threads blastn command) args_makedb Additional parameters parse makeblastdb command args_blastn Additional parameters parse blastn command keep_temporary_files (logical, default: FALSE) keep temporary files db.fasta (refseq transformed database) dbase list files (output blastn) blast_result.txt summary result blastn using -outfmt \"6 qseqid qlen sseqid slen length pident evalue bitscore qcovs\"","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/blast_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Blast all sequence of refseq slot of a phyloseq-class\nobject against a custom database. — blast_pq","text":"blast table","code":""},{"path":[]},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/blast_to_derep.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Blast some sequence against sequences from of a derep-class\nobject. — blast_to_derep","text":"","code":"blast_to_derep(   derep,   seq2search,   blastpath = NULL,   id_cut = 90,   bit_score_cut = 50,   min_cover_cut = 50,   e_value_cut = 1e-30,   unique_per_seq = FALSE,   score_filter = FALSE,   list_no_output_query = FALSE,   min_length_seq = 200,   args_makedb = NULL,   args_blastn = NULL,   nproc = 1,   keep_temporary_files = FALSE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/blast_to_derep.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Blast some sequence against sequences from of a derep-class\nobject. — blast_to_derep","text":"derep result dada2::derepFastq(). list derep-class object. seq2search (required) path fasta file defining sequences want blast ASV sequences physeq object. blastpath path blast program id_cut (default: 90) cut identity percent keep result bit_score_cut (default: 50) cut bit score keep result higher bit-score, better sequence similarity. bit-score requires size sequence database current match found just chance. bit-score log2 scaled normalized raw-score. increase one doubles required database size (2bit-score). min_cover_cut (default: 50) cut query cover (%) keep result e_value_cut (default: 1e-30)  cut e-value (%) keep result BLAST E-value number expected hits similar quality (score) found just chance. unique_per_seq (logical, default FALSE) TRUE return better match (higher bit score) sequence score_filter (logical, default TRUE) results filter score? FALSE, id_cut,bit_score_cut, e_value_cut min_cover_cut ignored list_no_output_query (logical) result table include query sequences blastn find correspondence? min_length_seq (default: 200) Removed sequences less min_length_seq derep blast. Set 0 discard filtering sequences length. args_makedb Additional parameters parse makeblastdb command args_blastn Additional parameters parse blastn command nproc (default: 1) Set number cpus/processors use blast (args -num_threads blastn command) keep_temporary_files (logical, default: FALSE) keep temporary files : db.fasta (refseq transformed database) dbase list files (output blastn) blast_result.txt summary result blastn using -outfmt \"6 qseqid qlen sseqid slen length pident evalue bitscore qcovs\"","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/blast_to_derep.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Blast some sequence against sequences from of a derep-class\nobject. — blast_to_derep","text":"blast table","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/blast_to_derep.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Blast some sequence against sequences from of a derep-class\nobject. — blast_to_derep","text":"Adrien Taudière","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/blast_to_phyloseq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Blast some sequence against refseq slot of a phyloseq-class\nobject. — blast_to_phyloseq","text":"","code":"blast_to_phyloseq(   physeq,   seq2search,   blastpath = NULL,   id_cut = 90,   bit_score_cut = 50,   min_cover_cut = 50,   e_value_cut = 1e-30,   unique_per_seq = FALSE,   score_filter = TRUE,   list_no_output_query = FALSE,   args_makedb = NULL,   args_blastn = NULL,   nproc = 1,   keep_temporary_files = FALSE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/blast_to_phyloseq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Blast some sequence against refseq slot of a phyloseq-class\nobject. — blast_to_phyloseq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. seq2search (required) path fasta file defining sequences want blast ASV sequences physeq object. blastpath path blast program id_cut (default: 90) cut identity percent keep result bit_score_cut (default: 50) cut bit score keep result higher bit-score, better sequence similarity. bit-score requires size sequence database current match found just chance. bit-score log2 scaled normalized raw-score. increase one doubles required database size (2bit-score). min_cover_cut (default: 50) cut query cover (%) keep result e_value_cut (default: 1e-30)  cut e-value (%) keep result BLAST E-value number expected hits similar quality (score) found just chance. unique_per_seq (logical, default FALSE) TRUE return better match (higher bit score) sequence score_filter (logical, default TRUE) results filter score? FALSE, id_cut,bit_score_cut, e_value_cut min_cover_cut ignored list_no_output_query (logical) result table include query sequences blastn find correspondence? args_makedb Additional parameters parse makeblastdb command args_blastn Additional parameters parse blastn command nproc (default: 1) Set number cpus/processors use blast (args -num_threads blastn command) keep_temporary_files (logical, default: FALSE) keep temporary files db.fasta (refseq transformed database) dbase list files (output blastn) blast_result.txt summary result blastn using -outfmt \"6 qseqid qlen sseqid slen length pident evalue bitscore qcovs\"","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/blast_to_phyloseq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Blast some sequence against refseq slot of a phyloseq-class\nobject. — blast_to_phyloseq","text":"blast table","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/blast_to_phyloseq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Blast some sequence against refseq slot of a phyloseq-class\nobject. — blast_to_phyloseq","text":"","code":"if (FALSE) {  blastpath <- \"...YOUR_PATH_TO_BLAST...\" blast_to_phyloseq(data_fungi,   seq2search = system.file(\"extdata\", \"ex.fasta\",     package = \"MiscMetabar\", mustWork = TRUE   ),   blastpath = blastpath ) }"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/build_phytree_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Build phylogenetic trees from refseq slot of a phyloseq object — build_phytree_pq","title":"Build phylogenetic trees from refseq slot of a phyloseq object — build_phytree_pq","text":"function build tree phylogenetic tree nb_bootstrap set, build also 3 corresponding bootstrapped tree. Default parameters based doi:10.12688/f1000research.8986.2  phangorn vignette Estimating phylogenetic trees phangorn. understand data, especially markers, using function. Note phylogenetic reconstruction markers used metabarcoding robust. must verify robustness phylogenetic tree using taxonomic classification (see vignette Tree visualization) bootstrap multi-tree visualization","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/build_phytree_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Build phylogenetic trees from refseq slot of a phyloseq object — build_phytree_pq","text":"","code":"build_phytree_pq(   physeq,   nb_bootstrap = 0,   model = \"GTR\",   optInv = TRUE,   optGamma = TRUE,   rearrangement = \"NNI\",   control = phangorn::pml.control(trace = 0),   optNni = TRUE,   multicore = FALSE,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/build_phytree_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Build phylogenetic trees from refseq slot of a phyloseq object — build_phytree_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. nb_bootstrap (default 0): positive number set, function also build 3 bootstrapped trees using nb_bootstrap bootstrap samples model allows choose amino acid models nucleotide model, see phangorn::optim.pml() details optInv Logical value indicating whether topology gets optimized (NNI). See phangorn::optim.pml() details optGamma Logical value indicating whether gamma rate parameter gets optimized. See phangorn::optim.pml() details rearrangement type tree tree rearrangements perform, one \"NNI\", \"stochastic\" \"ratchet\" see phangorn::optim.pml() details control list parameters controlling fitting process. see phangorn::optim.pml() details optNni Logical value indicating whether topology gets optimized (NNI). see phangorn::optim.pml() details multicore (logical) whether models estimated parallel. see phangorn::bootstrap.pml() details ... params passed phangorn::optim.pml() function","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/build_phytree_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Build phylogenetic trees from refseq slot of a phyloseq object — build_phytree_pq","text":"list phylogenetic tree","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/build_phytree_pq.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Build phylogenetic trees from refseq slot of a phyloseq object — build_phytree_pq","text":"function mainly wrapper work others. Please make reference phangorn package use function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/build_phytree_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Build phylogenetic trees from refseq slot of a phyloseq object — build_phytree_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/build_phytree_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Build phylogenetic trees from refseq slot of a phyloseq object — build_phytree_pq","text":"","code":"library(\"phangorn\") #> Loading required package: ape #>  #> Attaching package: ‘ape’ #> The following object is masked from ‘package:dplyr’: #>  #>     where  df <- subset_taxa_pq(data_fungi_mini, taxa_sums(data_fungi_mini) > 9000) #> Cleaning suppress 0 taxa (  ) and 6 sample(s) ( AD26-005-H_S10_MERGED.fastq.gz / CB8-019-H_S70_MERGED.fastq.gz / DY5-004-H_S97_MERGED.fastq.gz / N23-002-B_S130_MERGED.fastq.gz / NVABM0244-M_S137_MERGED.fastq.gz / T28-ABM602-B_S162_MERGED.fastq.gz ). #> Number of non-matching ASV 0 #> Number of matching ASV 45 #> Number of filtered-out ASV 23 #> Number of kept ASV 22 #> Number of kept samples 131 df_tree <- build_phytree_pq(df, nb_bootstrap = 2) #> Determining distance matrix based on shared 8-mers: #> ================================================================================ #>  #> Time difference of 0 secs #>  #> Clustering into groups by similarity: #> ================================================================================ #>  #> Time difference of 0.01 secs #>  #> Aligning Sequences: #> ================================================================================ #>  #> Time difference of 0.15 secs #>  #> Iteration 1 of 2: #>  #> Determining distance matrix based on alignment: #> ================================================================================ #>  #> Time difference of 0 secs #>  #> Reclustering into groups by similarity: #> ================================================================================ #>  #> Time difference of 0.01 secs #>  #> Realigning Sequences: #> ================================================================================ #>  #> Time difference of 0.1 secs #>  #> Iteration 2 of 2: #>  #> Determining distance matrix based on alignment: #> ================================================================================ #>  #> Time difference of 0 secs #>  #> Reclustering into groups by similarity: #> ================================================================================ #>  #> Time difference of 0 secs #>  #> Realigning Sequences: #> ================================================================================ #>  #> Time difference of 0.01 secs #>  #> Refining the alignment: #> ================================================================================ #>  #> Time difference of 0.03 secs #>  #> optimize edge weights:  -4286.922 --> -4180.495  #> optimize edge weights:  -4180.495 --> -4180.495  #> optimize topology:  -4180.495 --> -4173.752  NNI moves:  2  #> optimize edge weights:  -4173.752 --> -4173.751  #> optimize topology:  -4173.751 --> -4173.751  NNI moves:  0  #> optimize edge weights:  -4173.751 --> -4173.751  #> optimize edge weights:  -4002.298 --> -3883.836  #> optimize edge weights:  -3883.836 --> -3883.836  #> optimize topology:  -3883.836 --> -3878.833  NNI moves:  1  #> optimize edge weights:  -3878.833 --> -3878.832  #> optimize topology:  -3878.832 --> -3878.832  NNI moves:  0  #> optimize edge weights:  -3878.832 --> -3878.832  plot(df_tree$UPGMA)  plotBS(df_tree$UPGMA, df_tree$UPGMA_bs, main = \"UPGMA\")  plot(df_tree$NJ, \"unrooted\")  plot(df_tree$ML)  # plotBS(df_tree$ML_bs) plotBS(df_tree$ML$tree, df_tree$ML_bs, p = 20, frame = \"circle\")  plotBS(   df_tree$ML$tree,   df_tree$ML_bs,   p = 20,   frame = \"circle\",   method = \"TBE\" )  plot(consensusNet(df_tree$ML_bs))  plot(consensusNet(df_tree$NJ_bs))  ps_tree <- merge_phyloseq(df, df_tree$ML$tree) #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/chimera_detection_vs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Detect for chimera taxa using vsearch — chimera_detection_vs","text":"","code":"chimera_detection_vs(   seq2search,   nb_seq,   vsearchpath = \"vsearch\",   abskew = 2,   min_seq_length = 100,   vsearch_args = \"--fasta_width 0\",   keep_temporary_files = FALSE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/chimera_detection_vs.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Detect for chimera taxa using vsearch — chimera_detection_vs","text":"seq2search (required) list DNA sequences coercible function Biostrings::DNAStringSet() nb_seq (required) numeric vector giving number sequences DNA sequences vsearchpath (default: vsearch) path vsearch abskew (int, default 2) abundance skew used distinguish three way alignment sequence chimera parents. assumption chimeras appear later PCR amplification process therefore less abundant parents. default value 2.0, means parents least 2 times abundant chimera. positive value equal greater 1.0 can used. min_seq_length (int, default 100)) Minimum length sequences part analysis vsearch_args (default \"--fasta_width 0\") list args vsearch command keep_temporary_files (logical, default: FALSE) keep temporary files ? non_chimeras.fasta chimeras.fasta borderline.fasta","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/chimera_detection_vs.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Detect for chimera taxa using vsearch — chimera_detection_vs","text":"list 3 including non-chimera taxa ($non_chimera), chimera taxa ($chimera) bordeline taxa ($borderline)","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/chimera_detection_vs.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Detect for chimera taxa using vsearch — chimera_detection_vs","text":"function mainly wrapper work others. Please make vsearch.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/chimera_detection_vs.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Detect for chimera taxa using vsearch — chimera_detection_vs","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/chimera_detection_vs.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Detect for chimera taxa using vsearch — chimera_detection_vs","text":"","code":"chimera_detection_vs(   seq2search = data_fungi@refseq,   nb_seq = taxa_sums(data_fungi) ) #> Filtering for sequences under 100 bp remove a total of 0 ( 0 %) unique sequences for a total of 0 sequences removed ( 0 %) #> $non_chimera #> AAStringSet object of length 1051: #>        width seq                                            names                #>    [1]   312 AAATGCGATAAGTAATGTGAAT...TAGGAATACCCGCTGAACTTA ASV1;size=92884 #>    [2]   301 AAATGCGATAAGTAATGTGAAT...TAGGAATACCCGCTGAACTTA ASV2;size=53538 #>    [3]   349 AAATGCGATAAGTAATGTGAAT...TGGGACTACCCGCTGAACTTA ASV3;size=47410 #>    [4]   357 AAATGCGATAAGTAATGTGAAT...TGGGACTACCCGCTGAACTTA ASV4;size=46857 #>    [5]   300 AAATGCGATAAGTAATGTGAAT...TAGGAATACCCGCTGAACTTA ASV5;size=41082 #>    ...   ... ... #> [1047]   260 AAACGCGAAAAGTGTTATGATG...AAGATCACCCGCTGAACTTAA ASV1420;size=2 #> [1048]   365 AAATGCGATAAGTAATGTGAAT...TAGGACTACCCGCTGAACTTA ASV602;size=2 #> [1049]   344 AAATGCGATAAGTAATGTGAAT...TAGGAATACGCGCTGAACTTA ASV1142;size=1 #> [1050]   290 GAAATGCGATAAGTAATGTGAA...TAGGGATACCCGCTGAACTTA ASV246;size=1 #> [1051]   318 GAAATGCGATACGTAATGTGAA...AGGGATACCCGCTGAACTTAA ASV412;size=1 #>  #> $chimera #> AAStringSet object of length 242: #>       width seq                                             names                #>   [1]   341 GAAATGCGATAAGTAATGTGAA...GTAGGATTACCCGCTGAACTTA ASV136;size=2743 #>   [2]   307 AAATGCGATAAGTAATGTGAAT...GTAGGGATACCCGCTGAACTTA ASV163;size=2028 #>   [3]   339 AAATGCGATAAGTAATGTGAAT...GTAGGATTACCCGCTGAACTTA ASV206;size=1471 #>   [4]   312 AAATGCGATAAGTAATGTGAAT...GTAGGAATACCCGCTGAACTTA ASV286;size=875 #>   [5]   306 AAATGCGAAAAGTAGTGTGAAT...GTAGGGATACCCGCTGAACTTA ASV294;size=832 #>   ...   ... ... #> [238]   303 GAAATGCGATACTTGGTGTGAA...GTGGGACTACCCGCTGAACTTA ASV1390;size=29 #> [239]   293 GAACTACGATAAGTAATGTGAA...TAGGGATACCCGCTGAACTTAA ASV1395;size=25 #> [240]   301 AAATGCGAAAAGTAGTGTGAAT...TAGGGATACCCGCTGAACTTAA ASV1407;size=18 #> [241]   382 AAATGCGATAAATAATATGAAT...GCAAGATTACCCGCTGAACTTA ASV1411;size=12 #> [242]   287 GAAATGCGATAAGTAATGTGAA...TAGGGCTACCCGCTGAACTTAA ASV789;size=2 #>  #> $borderline #> AAStringSet object of length 127: #>       width seq                                             names                #>   [1]   344 AAATGCGATAAGTAATGTGAAT...GTAGGACTACCCGCTGAACTTA ASV74;size=5699 #>   [2]   298 AAATGCGATAAGTAATGTGAAT...GTAGGGATACCCGCTGAACTTA ASV123;size=3164 #>   [3]   300 AAATGCGATAAGTAATGTGAAT...GTAGGGATACCCGCTGAACTTA ASV139;size=2712 #>   [4]   304 AAATGCGATAAGTAATGTGAAT...GTAGGACTACCCGCTGAACTTA ASV141;size=2611 #>   [5]   295 AAATGCGATAAGTAATGTGAAT...GTAGGGATACCCGCTGAACTTA ASV153;size=2294 #>   ...   ... ... #> [123]   330 AAACGCGATAGGTAATGTGAAT...GTAGGACTACCCGCTGAACTTA ASV1292;size=62 #> [124]   332 AAATGCGATAAGTAATGTGAAT...GTAGGAATACCCGCTGAACTTA ASV1353;size=48 #> [125]   300 GAAATGCGATAAGTAATGCGAA...GTAGGGATACCCGCTGAACTTA ASV1384;size=31 #> [126]   302 GAAATGCGATACGTAATGTGAA...TAGGAATACCCGCTGAACTTAA ASV1388;size=29 #> [127]   316 GAAATGCGATAAATAATATGAA...ACAAGATTACCCGCTGAACTTA ASV1399;size=22 #>"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/chimera_removal_vs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Search for a list of sequence in an object to remove chimera taxa\nusing vsearch — chimera_removal_vs","text":"","code":"chimera_removal_vs(object, type = \"Discard_only_chim\", clean_pq = FALSE, ...)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/chimera_removal_vs.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Search for a list of sequence in an object to remove chimera taxa\nusing vsearch — chimera_removal_vs","text":"object (required) phyloseq-class object one dada, derep, data.frame list coercible sequences table using function dada2::makeSequenceTable() type (default \"Discard_only_chim\"). type define type filtering. \"Discard_only_chim\" discard taxa classify chimera vsearch \"Select_only_non_chim\" select taxa classify non-chimera vsearch(filtering taxa based sequence length parameter min_seq_length chimera_detection_vs() function) \"Select_only_chim\" select taxa classify chimera vsearch (filtering taxa based sequence length parameter min_seq_length chimera_detection_vs() function) clean_pq (logical; default FALSE) TRUE, return phyloseq object cleaning using default parameter clean_pq() function. ... Others arguments passed chimera_detection_vs() function","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/chimera_removal_vs.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Search for a list of sequence in an object to remove chimera taxa\nusing vsearch — chimera_removal_vs","text":"/ sequences tables () object class dada, derep, data.frame list. II/ phyloseq object without (type = 'Select_only_chim') chimeric taxa","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/chimera_removal_vs.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Search for a list of sequence in an object to remove chimera taxa\nusing vsearch — chimera_removal_vs","text":"function mainly wrapper work others. Please make vsearch.","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/chimera_removal_vs.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Search for a list of sequence in an object to remove chimera taxa\nusing vsearch — chimera_removal_vs","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/chimera_removal_vs.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Search for a list of sequence in an object to remove chimera taxa\nusing vsearch — chimera_removal_vs","text":"","code":"data_fungi_nochim <- chimera_removal_vs(data_fungi) #> Filtering for sequences under 100 bp remove a total of 0 ( 0 %) unique sequences for a total of 0 sequences removed ( 0 %) #> Cleaning suppress 0 taxa (  ) and 0 sample(s) (  ). #> Number of non-matching ASV 0 #> Number of matching ASV 1420 #> Number of filtered-out ASV 242 #> Number of kept ASV 1178 #> Number of kept samples 185 data_fungi_nochim_16 <- chimera_removal_vs(data_fungi,   abskew = 16,   min_seq_length = 10 ) #> Filtering for sequences under 10 bp remove a total of 0 ( 0 %) unique sequences for a total of 0 sequences removed ( 0 %) #> Cleaning suppress 0 taxa (  ) and 0 sample(s) (  ). #> Number of non-matching ASV 0 #> Number of matching ASV 1420 #> Number of filtered-out ASV 161 #> Number of kept ASV 1259 #> Number of kept samples 185 data_fungi_nochim2 <-   chimera_removal_vs(data_fungi, type = \"Select_only_non_chim\") #> Filtering for sequences under 100 bp remove a total of 0 ( 0 %) unique sequences for a total of 0 sequences removed ( 0 %) #> Cleaning suppress 0 taxa (  ) and 0 sample(s) (  ). #> Number of non-matching ASV 0 #> Number of matching ASV 1420 #> Number of filtered-out ASV 369 #> Number of kept ASV 1051 #> Number of kept samples 185 data_fungi_chimera <-   chimera_removal_vs(data_fungi, type = \"Select_only_chim\") #> Filtering for sequences under 100 bp remove a total of 0 ( 0 %) unique sequences for a total of 0 sequences removed ( 0 %) #> Cleaning suppress 0 taxa (  ) and 14 sample(s) ( BA16-036bis_S20_MERGED.fastq.gz / C21-NV1-M_S64_MERGED.fastq.gz / CB8-019-B_S69_MERGED.fastq.gz / DY5-004-M_S98_MERGED.fastq.gz / E9-009-B_S100_MERGED.fastq.gz / H10-018-M_S110_MERGED.fastq.gz / N22-001-B_S129_MERGED.fastq.gz / N23-002-M_S132_MERGED.fastq.gz / O21-007-H_S143_MERGED.fastq.gz / O21-007-M_S144_MERGED.fastq.gz / O24-003-H_S146_MERGED.fastq.gz / X24-009-H_S171_MERGED.fastq.gz / Y28-002-B_S178_MERGED.fastq.gz / Y29-007-H_S182_MERGED.fastq.gz ). #> Number of non-matching ASV 0 #> Number of matching ASV 1420 #> Number of filtered-out ASV 1178 #> Number of kept ASV 242 #> Number of kept samples 171"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/circle_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot OTU circle for phyloseq-class object — circle_pq","text":"","code":"circle_pq(   physeq = NULL,   fact = NULL,   taxa = \"Order\",   nproc = 1,   add_nb_seq = TRUE,   rarefy = FALSE,   min_prop_tax = 0.01,   min_prop_mod = 0.1,   gap_degree = NULL,   start_degree = NULL,   row_col = NULL,   grid_col = NULL,   log10trans = FALSE,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/circle_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot OTU circle for phyloseq-class object — circle_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. fact (required) Name factor cluster samples modalities. Need physeq@sam_data. taxa (default: 'Order') Name taxonomic rank interest nproc (default 1) Set number cpus/processors use parallelization add_nb_seq (default: TRUE) Represent number sequences number OTUs (add_nb_seq = FALSE) rarefy (logical) samples modalities need rarefy order compare amount sequences? min_prop_tax (default: 0.01) minimum proportion taxon plotted min_prop_mod (default: 0.1) minimum proportion modalities plotted gap_degree Gap two neighbour sectors. can single value vector. vector, first value corresponds gap first sector. start_degree starting degree circle begins draw. Note degree measured standard polar coordinate means always reverse-clockwise. row_col Color vector row grid_col Grid colors correspond sectors. length vector either 1 number sectors. preferred grid_col named vector names correspond sectors. named vector, order grid_col corresponds order sectors. log10trans (logical) sequence log10 transformed (precisely log10(1+x))? ... Additional arguments passed chordDiagram circos.par","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/circle_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot OTU circle for phyloseq-class object — circle_pq","text":"chordDiagram plot representing distribution OTUs sequences different modalities factor fact","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/circle_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot OTU circle for phyloseq-class object — circle_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/circle_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot OTU circle for phyloseq-class object — circle_pq","text":"","code":"data(\"GlobalPatterns\", package = \"phyloseq\") GP <- subset_taxa(GlobalPatterns, GlobalPatterns@tax_table[, 1] == \"Archaea\") #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ circle_pq(GP, \"SampleType\") #> Only 4 modalities are plot (44.44%). Use 'min_prop_mod' to plot more samples. #> Only 5 taxa are plot (45.45%). Use 'min_prop_tax' to plot more taxa  # circle_pq(GP, \"SampleType\", add_nb_seq = FALSE) # circle_pq(GP, \"SampleType\", taxa = \"Class\")"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/clean_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Clean phyloseq object by removing empty samples and taxa — clean_pq","title":"Clean phyloseq object by removing empty samples and taxa — clean_pq","text":"addition, function check discrepancy (rename) () taxa names refseq, taxonomy table otu_table (ii) sample names sam_data otu_table.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/clean_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Clean phyloseq object by removing empty samples and taxa — clean_pq","text":"","code":"clean_pq(   physeq,   remove_empty_samples = TRUE,   remove_empty_taxa = TRUE,   clean_samples_names = TRUE,   silent = FALSE,   verbose = FALSE,   force_taxa_as_columns = FALSE,   force_taxa_as_rows = FALSE,   reorder_asv = FALSE,   rename_asv = FALSE,   simplify_taxo = FALSE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/clean_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Clean phyloseq object by removing empty samples and taxa — clean_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. remove_empty_samples (logical) want remove samples without sequences (done removing empty taxa) remove_empty_taxa (logical) want remove taxa without sequences (done removing empty samples) clean_samples_names (logical) want clean samples names? silent (logical) true, message printing. verbose (logical) Additional informations message verbose parameter overwrite silent parameter. force_taxa_as_columns (logical) true, taxa rows transpose otu_table set taxa_are_rows false force_taxa_as_rows (logical) true, taxa columns transpose otu_table set taxa_are_rows true reorder_asv (logical) TRUE otu_table ordered number sequences ASV (descending order). Default FALSE. rename_asv (logical) TRUE, ASV renamed position OTU_table (asv_1, asv_2, ...). Default FALSE. rename ASV true, ASV names verbose information can misleading. simplify_taxo (logical) TRUE, correct taxonomy_table using MiscMetabar::simplify_taxo() function","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/clean_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Clean phyloseq object by removing empty samples and taxa — clean_pq","text":"new phyloseq-class object","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/compare_pairs_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Compare samples in pairs using diversity and number of ASV including\nshared ASV. — compare_pairs_pq","title":"Compare samples in pairs using diversity and number of ASV including\nshared ASV. — compare_pairs_pq","text":"#'   moment refseq slot need Null.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/compare_pairs_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compare samples in pairs using diversity and number of ASV including\nshared ASV. — compare_pairs_pq","text":"","code":"compare_pairs_pq(   physeq = NULL,   bifactor = NULL,   modality = NULL,   merge_sample_by = NULL,   nb_min_seq = 0,   veg_index = \"shannon\",   na_remove = TRUE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/compare_pairs_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compare samples in pairs using diversity and number of ASV including\nshared ASV. — compare_pairs_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. bifactor (required) factor (present sam_data slot physeq object) presenting pair names modality name column sam_data slot physeq object split samples pairs merge_sample_by vector determine samples merge using merge_samples2() function. Need physeq@sam_data nb_min_seq minimum number sequences per sample count ASV/OTU veg_index (default: \"shannon\") index vegan::diversity function na_remove (logical, default TRUE) set TRUE, remove samples NA variables set bifactor, modality merge_sample_by. NA variables well managed even na_remove = FALSE, na_remove may useless.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/compare_pairs_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compare samples in pairs using diversity and number of ASV including\nshared ASV. — compare_pairs_pq","text":"tibble information number shared ASV, shared number sequences diversity","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/compare_pairs_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compare samples in pairs using diversity and number of ASV including\nshared ASV. — compare_pairs_pq","text":"","code":"data_fungi_low_high <- subset_samples(data_fungi, Height %in% c(\"Low\", \"High\")) compare_pairs_pq(data_fungi_low_high, bifactor = \"Height\", merge_sample_by = \"Height\") #> Cleaning suppress 0 taxa and 0 samples. #> # A tibble: 1 × 13 #>   modality nb_ASV_High nb_ASV_Low nb_shared_ASV div_High div_Low nb_shared_seq #>   <chr>          <dbl>      <dbl>         <dbl>    <dbl>   <dbl>         <dbl> #> 1 Height           919        963           718     4.53    4.46        671081 #> # ℹ 6 more variables: percent_shared_seq_High <dbl>, #> #   percent_shared_seq_Low <dbl>, percent_shared_ASV_High <dbl>, #> #   percent_shared_ASV_Low <dbl>, ratio_nb_High_Low <dbl>, #> #   ratio_div_High_Low <dbl> compare_pairs_pq(data_fungi_low_high,   bifactor = \"Height\",   merge_sample_by = \"Height\", modality = \"Time\" ) #> 11 were discarded due to NA in variable modality. #> Cleaning suppress 37 taxa and 0 samples. #> # A tibble: 4 × 13 #>   modality nb_ASV_High nb_ASV_Low nb_shared_ASV div_High div_Low nb_shared_seq #>   <chr>          <dbl>      <dbl>         <dbl>    <dbl>   <dbl>         <dbl> #> 1 0                324        383           188     3.44    3.11         92766 #> 2 5                488        444           224     3.86    3.73        138450 #> 3 10               239        359           138     2.85    3.35         67475 #> 4 15               365        490           217     3.03    3.46        195794 #> # ℹ 6 more variables: percent_shared_seq_High <dbl>, #> #   percent_shared_seq_Low <dbl>, percent_shared_ASV_High <dbl>, #> #   percent_shared_ASV_Low <dbl>, ratio_nb_High_Low <dbl>, #> #   ratio_div_High_Low <dbl>"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/count_seq.html","id":null,"dir":"Reference","previous_headings":"","what":"Count sequences in fasta or fastq file — count_seq","title":"Count sequences in fasta or fastq file — count_seq","text":"Use grep count number line one '+' (fastq, fastq.gz) lines starting '>' (fasta) count sequences.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/count_seq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Count sequences in fasta or fastq file — count_seq","text":"","code":"count_seq(file_path = NULL, folder_path = NULL, pattern = NULL)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/count_seq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Count sequences in fasta or fastq file — count_seq","text":"file_path path  fasta, fastq fastq.gz file folder_path path folder fasta, fastq fastq.gz files pattern pattern filter files folder. E.g. R2","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/count_seq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Count sequences in fasta or fastq file — count_seq","text":"number sequences","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/count_seq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Count sequences in fasta or fastq file — count_seq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/count_seq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Count sequences in fasta or fastq file — count_seq","text":"","code":"count_seq(file_path = system.file(   \"extdata\",   \"ex.fasta\",   package = \"MiscMetabar\",   mustWork = TRUE )) #> [1] 3 count_seq(folder_path = \"extdata/\", pattern = \"*.fasta\") #> numeric(0)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/cutadapt_remove_primers.html","id":null,"dir":"Reference","previous_headings":"","what":"Remove primers using cutadapt — cutadapt_remove_primers","title":"Remove primers using cutadapt — cutadapt_remove_primers","text":"need install Cutadapt","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/cutadapt_remove_primers.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Remove primers using cutadapt — cutadapt_remove_primers","text":"","code":"cutadapt_remove_primers(   path_to_fastq,   primer_fw = NULL,   primer_rev = NULL,   folder_output = \"wo_primers\",   nproc = 1,   pattern = \"fastq.gz\",   pattern_R1 = \"_R1\",   pattern_R2 = \"_R2\",   nb_files = Inf,   cmd_is_run = TRUE,   args_before_cutadapt =     \"source ~/miniconda3/etc/profile.d/conda.sh && conda activate cutadaptenv && \" )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/cutadapt_remove_primers.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Remove primers using cutadapt — cutadapt_remove_primers","text":"path_to_fastq (Required) path folder fastq files. See list_fastq_files() help. primer_fw (Required, String) forward primer DNA sequence. primer_rev (String)  reverse primer DNA sequence. folder_output path folder output files nproc (default 1) Set number cpus/processors use clustering pattern pattern filter files (passed list.files function). pattern_R1 pattern filter R1 files (default \"R1\") pattern_R2 pattern filter R2 files (default \"R2\") nb_files number fastq files list (default FALSE) cmd_is_run (logical, default TRUE) cutadapt command run. set FALSE, effect function return list command manually run terminal. args_before_cutadapt (String) one line bash command run run cutadapt. examples, \"source ~/miniconda3/etc/profile.d/conda.sh && conda activate cutadaptenv &&\" allow bypass conda init asks restart shell","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/cutadapt_remove_primers.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Remove primers using cutadapt — cutadapt_remove_primers","text":"list command ","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/cutadapt_remove_primers.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Remove primers using cutadapt — cutadapt_remove_primers","text":"function mainly wrapper work others. Please cite cutadapt (doi:10.14806/ej.17.1.200 ).","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/cutadapt_remove_primers.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Remove primers using cutadapt — cutadapt_remove_primers","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/cutadapt_remove_primers.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Remove primers using cutadapt — cutadapt_remove_primers","text":"","code":"if (FALSE) { cutadapt_remove_primers(\"inst/extdata\", \"TTC\", \"GAA\",   folder_output = tempdir() )   cutadapt_remove_primers(   system.file(\"extdata\",     package = \"dada2\"   ),   pattern_R1 = \"F.fastq.gz\",   pattern_R2 = \"R.fastq.gz\",   primer_fw = \"TTC\",   primer_rev = \"GAA\",   folder_output = tempdir() )  cutadapt_remove_primers(   system.file(\"extdata\",     package = \"dada2\"   ),   pattern_R1 = \"F.fastq.gz\",   primer_fw = \"TTC\",   folder_output = tempdir(),   cmd_is_run = FALSE )   unlink(tempdir(), recursive = TRUE) }"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/data_fungi.html","id":null,"dir":"Reference","previous_headings":"","what":"Fungal OTU in phyloseq format — data_fungi","title":"Fungal OTU in phyloseq format — data_fungi","text":"Fungal OTU phyloseq format","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/data_fungi.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fungal OTU in phyloseq format — data_fungi","text":"","code":"data(data_fungi)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/data_fungi.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Fungal OTU in phyloseq format — data_fungi","text":"physeq object containing 1420 taxa references sequences described 14 taxonomic ranks 185 samples described 7 sample variables: X: name fastq-file Sample_names: names ... samples Treename: name tree Sample_id: identifier sample Height: height sample tree Diameter: diameter trunk Time: time since dead tree","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/data_fungi_mini.html","id":null,"dir":"Reference","previous_headings":"","what":"Fungal OTU in phyloseq format — data_fungi_mini","title":"Fungal OTU in phyloseq format — data_fungi_mini","text":"subset data_fungi dataset including Basidiomycota 5000 sequences.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/data_fungi_mini.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fungal OTU in phyloseq format — data_fungi_mini","text":"","code":"data(data_fungi_mini)  data(data_fungi_mini)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/data_fungi_mini.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Fungal OTU in phyloseq format — data_fungi_mini","text":"physeq object containing 45 taxa references sequences described 14 taxonomic ranks 137 samples described 7 sample variables: X: name fastq-file Sample_names: names ... samples Treename: name tree Sample_id: identifier sample Height: height sample tree Diameter: diameter trunk Time: time since dead tree physeq object containing 45 taxa references sequences described 14 taxonomic ranks 137 samples described 7 sample variables: X: name fastq-file Sample_names: names ... samples Treename: name tree Sample_id: identifier sample Height: height sample tree Diameter: diameter trunk Time: time since dead tree","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/data_fungi_mini.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Fungal OTU in phyloseq format — data_fungi_mini","text":"Obtain using data_fungi_mini <- subset_taxa(data_fungi, Phylum == \"Basidiomycota\") data_fungi_mini <-   subset_taxa_pq(data_fungi_mini, colSums(data_fungi_mini@otu_table) > 5000)","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/data_fungi_sp_known.html","id":null,"dir":"Reference","previous_headings":"","what":"Fungal OTU in phyloseq format — data_fungi_sp_known","title":"Fungal OTU in phyloseq format — data_fungi_sp_known","text":"subset data_fungi dataset including taxa information species level","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/data_fungi_sp_known.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fungal OTU in phyloseq format — data_fungi_sp_known","text":"","code":"data(data_fungi_sp_known)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/data_fungi_sp_known.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Fungal OTU in phyloseq format — data_fungi_sp_known","text":"physeq object containing 651 taxa references sequences described 14 taxonomic ranks 185 samples described 7 sample variables: X: name fastq-file Sample_names: names ... samples Treename: name tree Sample_id: identifier sample Height: height sample tree Diameter: diameter trunk Time: time since dead tree","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/data_fungi_sp_known.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Fungal OTU in phyloseq format — data_fungi_sp_known","text":"Obtain using data_fungi_sp_known <- subset_taxa(data_fungi, !.na(data_fungi@tax_table[,\"Species\"]))","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/diff_fct_diff_class.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute different functions for different class of vector. — diff_fct_diff_class","title":"Compute different functions for different class of vector. — diff_fct_diff_class","text":"Mainly internal function useful \"lapply(..., tapply)\" methods","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/diff_fct_diff_class.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute different functions for different class of vector. — diff_fct_diff_class","text":"","code":"diff_fct_diff_class(   x,   numeric_fonction = mean,   logical_method = \"TRUE_if_one\",   character_method = \"unique_or_na\",   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/diff_fct_diff_class.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute different functions for different class of vector. — diff_fct_diff_class","text":"x : vector numeric_fonction : function numeric vector. ex. sum mean logical_method : method logical vector. One : TRUE_if_one (default) NA_if_not_all_TRUE FALSE_if_not_all_TRUE character_method : method character vector (factor). One : unique_or_na (default) more_frequent more_frequent_without_equality ... arguments passed numeric function (ex. na.rm=TRUE)","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/diff_fct_diff_class.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute different functions for different class of vector. — diff_fct_diff_class","text":"single value","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/diff_fct_diff_class.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Compute different functions for different class of vector. — diff_fct_diff_class","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/diff_fct_diff_class.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compute different functions for different class of vector. — diff_fct_diff_class","text":"","code":"diff_fct_diff_class(   data_fungi@sam_data$Sample_id,   numeric_fonction = sum,   na.rm = TRUE ) #> [1] 17852 diff_fct_diff_class(   data_fungi@sam_data$Time,   numeric_fonction = mean,   na.rm = TRUE ) #> [1] 5.802469 diff_fct_diff_class(   data_fungi@sam_data$Height == \"Low\",   logical_method = \"TRUE_if_one\" ) #> [1] TRUE diff_fct_diff_class(   data_fungi@sam_data$Height == \"Low\",   logical_method = \"NA_if_not_all_TRUE\" ) #> [1] NA diff_fct_diff_class(   data_fungi@sam_data$Height == \"Low\",   logical_method = \"FALSE_if_not_all_TRUE\" ) #> [1] FALSE diff_fct_diff_class(   data_fungi@sam_data$Height,   character_method = \"unique_or_na\" ) #> [1] NA diff_fct_diff_class(   c(\"IE\", \"IE\"),   character_method = \"unique_or_na\" ) #> [1] \"IE\" diff_fct_diff_class(   c(\"IE\", \"IE\", \"TE\", \"TE\"),   character_method = \"more_frequent\" ) #> [1] \"IE\" diff_fct_diff_class(   c(\"IE\", \"IE\", \"TE\", \"TE\"),   character_method = \"more_frequent_without_equality\" ) #> [1] NA"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/dist_bycol.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute paired distances among matrix (e.g. otu_table) — dist_bycol","text":"","code":"dist_bycol(x, y, method = \"bray\", nperm = 99, ...)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/dist_bycol.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute paired distances among matrix (e.g. otu_table) — dist_bycol","text":"x (required) first matrix. y (required) second matrix. method (default: 'bray') method use internally vegdist function. nperm (default: 99) number permutations ... others argument vegan::vegdist function","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/dist_bycol.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute paired distances among matrix (e.g. otu_table) — dist_bycol","text":"list length two : () vector observed distance ($obs) (ii) matrix distance randomization ($null)","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/dist_bycol.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Compute paired distances among matrix (e.g. otu_table) — dist_bycol","text":"first column first matrix compare first column second matrix, second column first matrix compare second column second matrix .","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/dist_bycol.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Compute paired distances among matrix (e.g. otu_table) — dist_bycol","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/dist_pos_control.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate ecological distance among positive controls vs\ndistance for all samples — dist_pos_control","title":"Calculate ecological distance among positive controls vs\ndistance for all samples — dist_pos_control","text":"Compute distance among positive controls, .e. samples duplicated test variation, example () step sampling, (ii) step extraction, (iii) step sequencing.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/dist_pos_control.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate ecological distance among positive controls vs\ndistance for all samples — dist_pos_control","text":"","code":"dist_pos_control(physeq, samples_names, method = \"bray\")"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/dist_pos_control.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate ecological distance among positive controls vs\ndistance for all samples — dist_pos_control","text":"physeq (required): phyloseq-class object obtained using phyloseq package. samples_names (required) vector names samples positives controls samples name method (default: \"bray\") method calculate distance, parsed vegan::vegdist(). See ?vegdist list possible values.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/dist_pos_control.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate ecological distance among positive controls vs\ndistance for all samples — dist_pos_control","text":"list two data-frames () distance among positive controls (ii) distance among samples","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/dist_pos_control.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Calculate ecological distance among positive controls vs\ndistance for all samples — dist_pos_control","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/dist_pos_control.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate ecological distance among positive controls vs\ndistance for all samples — dist_pos_control","text":"","code":"data(\"enterotype\") sam_name_factice <- gsub(\"TS1_V2\", \"TS10_V2\", sample_names(enterotype)) res_dist_cont <- dist_pos_control(enterotype, sam_name_factice) hist(unlist(res_dist_cont$distAllSamples)) abline(   v = mean(unlist(res_dist_cont$dist_controlontrolSamples), na.rm = TRUE),   col = \"red\", lwd = 3 )"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/filter_asv_blast.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Filter undesirable taxa using blast against a against a custom database. — filter_asv_blast","text":"","code":"filter_asv_blast(   physeq,   fasta_for_db = NULL,   database = NULL,   clean_pq = TRUE,   add_info_to_taxtable = TRUE,   id_filter = 90,   bit_score_filter = 50,   min_cover_filter = 50,   e_value_filter = 1e-30,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/filter_asv_blast.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Filter undesirable taxa using blast against a against a custom database. — filter_asv_blast","text":"physeq (required): phyloseq-class object obtained using phyloseq package. fasta_for_db path fasta file make blast database database path blast database clean_pq (logical) set TRUE, empty samples empty ASV discarded filtering. add_info_to_taxtable (logical, default TRUE) blast information added taxtable ? id_filter (default: 90) cut identity percent keep result bit_score_filter (default: 50) cut bit score keep result higher bit-score, better sequence similarity. bit-score requires size sequence database current match found just chance. bit-score log2 scaled normalized raw-score. increase one doubles required database size (2bit-score). min_cover_filter (default: 50) cut query cover (%) keep result e_value_filter (default: 1e-30)  cut e-value (%) keep result BLAST E-value number expected hits similar quality (score) found just chance. ... Others options blast_pq() function. See ?blast_pq. Note params unique_per_seq must lft TRUE score_filter must left FALSE.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/filter_asv_blast.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Filter undesirable taxa using blast against a against a custom database. — filter_asv_blast","text":"new phyloseq-class object.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/filter_trim.html","id":null,"dir":"Reference","previous_headings":"","what":"A wrapper of the function dada2::filterAndTrim() to use in\ntargets pipeline — filter_trim","title":"A wrapper of the function dada2::filterAndTrim() to use in\ntargets pipeline — filter_trim","text":"function filter trim (parameters passed dada2::filterAndTrim() function) forward sequences paired end sequence 'rev' parameter set. return list files subsequent analysis targets pipeline.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/filter_trim.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"A wrapper of the function dada2::filterAndTrim() to use in\ntargets pipeline — filter_trim","text":"","code":"filter_trim(   fw = NULL,   rev = NULL,   output_fw = paste(getwd(), \"/output/filterAndTrim_fwd\", sep = \"\"),   output_rev = paste(getwd(), \"/output/filterAndTrim_rev\", sep = \"\"),   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/filter_trim.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"A wrapper of the function dada2::filterAndTrim() to use in\ntargets pipeline — filter_trim","text":"fw (required) list forward fastq files rev list reverse fastq files paired end trimming output_fw Path output folder forward files. default, function create folder \"output/filterAndTrim_fwd\" current working directory. output_rev Path output folder reverse files. default, function create folder \"output/filterAndTrim_fwd\" current working directory. ... parameters passed dada2::filterAndTrim() function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/filter_trim.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"A wrapper of the function dada2::filterAndTrim() to use in\ntargets pipeline — filter_trim","text":"list files. rev set, return list two lists. first list list forward files, second one list reverse files.","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/filter_trim.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"A wrapper of the function dada2::filterAndTrim() to use in\ntargets pipeline — filter_trim","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/filter_trim.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"A wrapper of the function dada2::filterAndTrim() to use in\ntargets pipeline — filter_trim","text":"","code":"testFastqs_fw <- c(   system.file(\"extdata\", \"sam1F.fastq.gz\", package = \"dada2\"),   system.file(\"extdata\", \"sam2F.fastq.gz\", package = \"dada2\") ) testFastqs_rev <- c(   system.file(\"extdata\", \"sam1R.fastq.gz\", package = \"dada2\"),   system.file(\"extdata\", \"sam2R.fastq.gz\", package = \"dada2\") )  filt_fastq_fw <- filter_trim(testFastqs_fw, output_fw = tempdir()) derep_fw <- derepFastq(filt_fastq_fw[1]) derep_fw #> $sam1F.fastq.gz #> derep-class: R object describing dereplicated sequencing reads #> $uniques: 1500 reads in 896 unique sequences #>   Sequence lengths: min=250, median=250, max=250 #> $quals: Quality matrix dimension:  896 250 #>   Consensus quality scores: min=7, median=36, max=38 #> $map: Map from reads to unique sequences:  4 155 627 265 5 ... #>  #> $sam2F.fastq.gz #> derep-class: R object describing dereplicated sequencing reads #> $uniques: 1500 reads in 909 unique sequences #>   Sequence lengths: min=250, median=250, max=250 #> $quals: Quality matrix dimension:  909 250 #>   Consensus quality scores: min=7, median=36, max=38 #> $map: Map from reads to unique sequences:  890 14 2 246 797 ... #>   filt_fastq_pe <- filter_trim(testFastqs_fw,   testFastqs_rev,   output_fw = tempdir(\"fw\"),   output_rev = tempdir(\"rev\") ) derep_fw_pe <- derepFastq(filt_fastq_pe[[1]]) derep_rv_pe <- derepFastq(filt_fastq_pe[[2]]) derep_fw_pe #> $sam1F.fastq.gz #> derep-class: R object describing dereplicated sequencing reads #> $uniques: 1500 reads in 896 unique sequences #>   Sequence lengths: min=250, median=250, max=250 #> $quals: Quality matrix dimension:  896 250 #>   Consensus quality scores: min=7, median=36, max=38 #> $map: Map from reads to unique sequences:  4 155 627 265 5 ... #>  #> $sam1R.fastq.gz #> derep-class: R object describing dereplicated sequencing reads #> $uniques: 1500 reads in 1373 unique sequences #>   Sequence lengths: min=250, median=250, max=250 #> $quals: Quality matrix dimension:  1373 250 #>   Consensus quality scores: min=7, median=34, max=38 #> $map: Map from reads to unique sequences:  2 1029 664 983 156 ... #>  #> $sam2F.fastq.gz #> derep-class: R object describing dereplicated sequencing reads #> $uniques: 1500 reads in 909 unique sequences #>   Sequence lengths: min=250, median=250, max=250 #> $quals: Quality matrix dimension:  909 250 #>   Consensus quality scores: min=7, median=36, max=38 #> $map: Map from reads to unique sequences:  890 14 2 246 797 ... #>  #> $sam2R.fastq.gz #> derep-class: R object describing dereplicated sequencing reads #> $uniques: 1500 reads in 1401 unique sequences #>   Sequence lengths: min=250, median=250, max=250 #> $quals: Quality matrix dimension:  1401 250 #>   Consensus quality scores: min=7, median=34, max=38 #> $map: Map from reads to unique sequences:  1353 1171 1059 947 293 ... #>  derep_rv_pe #> $sam1F.fastq.gz #> derep-class: R object describing dereplicated sequencing reads #> $uniques: 1500 reads in 896 unique sequences #>   Sequence lengths: min=250, median=250, max=250 #> $quals: Quality matrix dimension:  896 250 #>   Consensus quality scores: min=7, median=36, max=38 #> $map: Map from reads to unique sequences:  4 155 627 265 5 ... #>  #> $sam1R.fastq.gz #> derep-class: R object describing dereplicated sequencing reads #> $uniques: 1500 reads in 1373 unique sequences #>   Sequence lengths: min=250, median=250, max=250 #> $quals: Quality matrix dimension:  1373 250 #>   Consensus quality scores: min=7, median=34, max=38 #> $map: Map from reads to unique sequences:  2 1029 664 983 156 ... #>  #> $sam2F.fastq.gz #> derep-class: R object describing dereplicated sequencing reads #> $uniques: 1500 reads in 909 unique sequences #>   Sequence lengths: min=250, median=250, max=250 #> $quals: Quality matrix dimension:  909 250 #>   Consensus quality scores: min=7, median=36, max=38 #> $map: Map from reads to unique sequences:  890 14 2 246 797 ... #>  #> $sam2R.fastq.gz #> derep-class: R object describing dereplicated sequencing reads #> $uniques: 1500 reads in 1401 unique sequences #>   Sequence lengths: min=250, median=250, max=250 #> $quals: Quality matrix dimension:  1401 250 #>   Consensus quality scores: min=7, median=34, max=38 #> $map: Map from reads to unique sequences:  1353 1171 1059 947 293 ... #>"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/funguild_assign.html","id":null,"dir":"Reference","previous_headings":"","what":"Assign Guilds to Organisms Based on Taxonomic Classification — funguild_assign","title":"Assign Guilds to Organisms Based on Taxonomic Classification — funguild_assign","text":"original function documentation written Brendan Furneaux FUNGuildR package. functions identical behavior supplied database; however download database corresponding name default. Taxa present database matched taxa present supplied otu_table exact name. case multiple matches, lowest (specific) rank chosen. attempt made check correct classification otu_table$Taxonomy.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/funguild_assign.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Assign Guilds to Organisms Based on Taxonomic Classification — funguild_assign","text":"","code":"funguild_assign(   otu_table,   db_funguild = get_funguild_db(),   tax_col = \"Taxonomy\" )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/funguild_assign.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Assign Guilds to Organisms Based on Taxonomic Classification — funguild_assign","text":"otu_table data.frame character column named \"Taxonomy\" (another name specified tax_col), well columns. entry \"otu_table$Taxonomy\" comma-, colon-, underscore-, semicolon-delimited classification organism. Rank indicators given Sintax (\"k:\", \"p:\"...) Unite (\"k__, \"p__\", ...) also allowed. character vector, representing taxonomic classification, also accepted. db_funguild data.frame representing FUNGuild returned get_funguild_db() supplied, default database downloaded. tax_col character string, optionally giving alternate column name otu_table use instead otu_table$Taxonomy.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/funguild_assign.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Assign Guilds to Organisms Based on Taxonomic Classification — funguild_assign","text":"tibble::tibble containing columns otu_table, plus relevant columns information FUNGuild","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/funguild_assign.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Assign Guilds to Organisms Based on Taxonomic Classification — funguild_assign","text":"Nguyen NH, Song Z, Bates ST, Branco S, Tedersoo L, Menke J, Schilling JS, Kennedy PG. 2016. FUNGuild: open annotation tool parsing fungal community datasets ecological guild. Fungal Ecology 20:241-248.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/funguild_assign.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Assign Guilds to Organisms Based on Taxonomic Classification — funguild_assign","text":"Brendan Furneaux (orcid: 0000-0003-3522-7363), modified Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/funky_color.html","id":null,"dir":"Reference","previous_headings":"","what":"Funky palette color — funky_color","title":"Funky palette color — funky_color","text":"Funky palette color","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/funky_color.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Funky palette color — funky_color","text":"","code":"funky_color(n)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/funky_color.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Funky palette color — funky_color","text":"n number colors","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/funky_color.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Funky palette color — funky_color","text":"color palette","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/funky_color.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Funky palette color — funky_color","text":"Thibaut Jombart","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/get_file_extension.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get the extension of a file — get_file_extension","text":"","code":"get_file_extension(file_path)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/get_file_extension.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get the extension of a file — get_file_extension","text":"file_path (required): path file","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/get_file_extension.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get the extension of a file — get_file_extension","text":" phyloseq-class object simplified taxonomy","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/get_file_extension.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Get the extension of a file — get_file_extension","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/get_funguild_db.html","id":null,"dir":"Reference","previous_headings":"","what":"Retrieve the FUNGuild database — get_funguild_db","title":"Retrieve the FUNGuild database — get_funguild_db","text":"original function documentation written Brendan Furneaux FUNGuildR package. Please cite publication.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/get_funguild_db.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Retrieve the FUNGuild database — get_funguild_db","text":"","code":"get_funguild_db(db_url = \"http://www.stbates.org/funguild_db_2.php\")"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/get_funguild_db.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Retrieve the FUNGuild database — get_funguild_db","text":"db_url length 1 character string giving URL retrieve database ","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/get_funguild_db.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Retrieve the FUNGuild database — get_funguild_db","text":"tibble::tibble containing database, can passed db argument funguild_assign()","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/get_funguild_db.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Retrieve the FUNGuild database — get_funguild_db","text":"Nguyen NH, Song Z, Bates ST, Branco S, Tedersoo L, Menke J, Schilling JS, Kennedy PG. 2016. FUNGuild: open annotation tool parsing fungal community datasets ecological guild. Fungal Ecology 20:241-248.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/get_funguild_db.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Retrieve the FUNGuild database — get_funguild_db","text":"Brendan Furneaux (orcid: 0000-0003-3522-7363), modified Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ggbetween_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Box/Violin plots for between-subjects comparisons of Hill Number — ggbetween_pq","title":"Box/Violin plots for between-subjects comparisons of Hill Number — ggbetween_pq","text":"Note contrary hill_pq(), function take account difference number sequences per samples/modalities. may use rarefy_by_sample = TRUE mean number sequences per samples differs among modalities. Basically wrapper function ggstatsplot::ggbetweenstats() object class phyloseq","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ggbetween_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Box/Violin plots for between-subjects comparisons of Hill Number — ggbetween_pq","text":"","code":"ggbetween_pq(physeq, variable, one_plot = FALSE, rarefy_by_sample = FALSE, ...)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ggbetween_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Box/Violin plots for between-subjects comparisons of Hill Number — ggbetween_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. variable (required): variable test. Must present sam_data slot physeq object. one_plot (logical, default FALSE) TRUE, return unique plot three plot inside using patchwork package. rarefy_by_sample (logical, default FALSE) TRUE, rarefy samples using phyloseq::rarefy_even_depth() function ... arguments passed ggstatsplot::ggbetweenstats() function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ggbetween_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Box/Violin plots for between-subjects comparisons of Hill Number — ggbetween_pq","text":"Either unique ggplot2 object (one_plot TRUE) list 3 ggplot2 plot: plot_Hill_0 : ggbetweenstats Hill number 0 (= species richness) variable plot_Hill_1 : ggbetweenstats Hill number 1 (= Shannon index) variable plot_Hill_2 : ggbetweenstats Hill number 2 (= Simpson index) variable","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ggbetween_pq.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Box/Violin plots for between-subjects comparisons of Hill Number — ggbetween_pq","text":"function mainly wrapper work others. Please make reference ggstatsplot::ggbetweenstats() use function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ggbetween_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Box/Violin plots for between-subjects comparisons of Hill Number — ggbetween_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ggbetween_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Box/Violin plots for between-subjects comparisons of Hill Number — ggbetween_pq","text":"","code":"p <- ggbetween_pq(data_fungi, variable = \"Time\", p.adjust.method = \"BH\") #> Cleaning suppress 0 taxa and 0 samples. #> Warning: The mean number of sequences per samples vary across modalities of the variable 'Time' You should use rarefy_by_sample = TRUE or try hill_pq() with correction_for_sample_size = TRUE p[[1]]  ggbetween_pq(data_fungi, variable = \"Height\", one_plot = TRUE) #> Cleaning suppress 0 taxa and 0 samples.  ggbetween_pq(data_fungi, variable = \"Height\", one_plot = TRUE, rarefy_by_sample = TRUE) #> Cleaning suppress 0 taxa and 0 samples. #> You set `rngseed` to FALSE. Make sure you've set & recorded #>  the random seed of your session for reproducibility. #> See `?set.seed` #> ... #> 1022OTUs were removed because they are no longer  #> present in any sample after random subsampling #> ... #> Cleaning suppress 0 taxa and 0 samples. #> All modality were undoubtedly rarefy in the physeq object."},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ggvenn_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Venn diagram of phyloseq-class object using\nggVennDiagram::ggVennDiagram function — ggvenn_pq","title":"Venn diagram of phyloseq-class object using\nggVennDiagram::ggVennDiagram function — ggvenn_pq","text":"Note can use ggplot2 function customize plot ex. + scale_fill_distiller(palette = \"BuPu\", direction = 1) + scale_x_continuous(expand = expansion(mult = 0.5)). See examples.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ggvenn_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Venn diagram of phyloseq-class object using\nggVennDiagram::ggVennDiagram function — ggvenn_pq","text":"","code":"ggvenn_pq(   physeq = NULL,   fact = NULL,   min_nb_seq = 0,   taxonomic_rank = NULL,   split_by = NULL,   add_nb_samples = TRUE,   add_nb_seq = FALSE,   rarefy_before_merging = FALSE,   rarefy_after_merging = FALSE,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ggvenn_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Venn diagram of phyloseq-class object using\nggVennDiagram::ggVennDiagram function — ggvenn_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. fact (required): Name factor cluster samples modalities. Need physeq@sam_data. min_nb_seq minimum number sequences OTUs samples take count OTUs sample. example, min_nb_seq=2,value 2 less OTU table count venn diagram taxonomic_rank Name (number) taxonomic rank count. set Null (default) number OTUs counted. split_by Split multiple plot using variable split_by. name variable must present sam_data slot physeq object. add_nb_samples (logical, default TRUE) Add number samples levels names add_nb_seq (logical, default FALSE) Add number sequences levels names rarefy_before_merging Rarefy sample merging modalities args fact. Use phyloseq::rarefy_even_depth() function rarefy_after_merging Rarefy sample merging modalities args fact. ... arguments ggVennDiagram::ggVennDiagram function ex. category.names.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ggvenn_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Venn diagram of phyloseq-class object using\nggVennDiagram::ggVennDiagram function — ggvenn_pq","text":"ggplot2 plot representing Venn diagram modalities argument factor split_by set list plots.","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ggvenn_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Venn diagram of phyloseq-class object using\nggVennDiagram::ggVennDiagram function — ggvenn_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ggvenn_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Venn diagram of phyloseq-class object using\nggVennDiagram::ggVennDiagram function — ggvenn_pq","text":"","code":"ggvenn_pq(data_fungi, fact = \"Height\")  ggvenn_pq(data_fungi, fact = \"Height\") +   ggplot2::scale_fill_distiller(palette = \"BuPu\", direction = 1)  pl <- ggvenn_pq(data_fungi, fact = \"Height\", split_by = \"Time\") #> Two modalities differ greatly (more than x2) in their number of sequences (159635 vs 53355). You may be interested by the parameter rarefy_after_merging for (i in 1:length(pl)) {   p <- pl[[i]] +     scale_fill_distiller(palette = \"BuPu\", direction = 1) +     theme(plot.title = element_text(hjust = 0.5, size = 22))   print(p) }      data_fungi2 <- subset_samples(data_fungi, data_fungi@sam_data$Tree_name == \"A10-005\" |   data_fungi@sam_data$Height %in% c(\"Low\", \"High\")) ggvenn_pq(data_fungi2, fact = \"Height\") #> Two modalities differ greatly (more than x2) in their number of sequences (432919 vs 3961). You may be interested by the parameter rarefy_after_merging   ggvenn_pq(data_fungi, fact = \"Height\", add_nb_seq = TRUE, set_size = 4)  ggvenn_pq(data_fungi, fact = \"Height\", rarefy_before_merging = TRUE) #> You set `rngseed` to FALSE. Make sure you've set & recorded #>  the random seed of your session for reproducibility. #> See `?set.seed` #> ... #> 1017OTUs were removed because they are no longer  #> present in any sample after random subsampling #> ... #> Cleaning suppress 0 taxa and 0 samples.  ggvenn_pq(data_fungi, fact = \"Height\", rarefy_after_merging = TRUE) +   scale_x_continuous(expand = expansion(mult = 0.5)) #> Warning: `group` has missing values; corresponding samples will be dropped #> You set `rngseed` to FALSE. Make sure you've set & recorded #>  the random seed of your session for reproducibility. #> See `?set.seed` #> ... #> 157OTUs were removed because they are no longer  #> present in any sample after random subsampling #> ... #> Cleaning suppress 0 taxa and 0 samples."},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/graph_test_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Performs graph-based permutation tests on phyloseq object — graph_test_pq","title":"Performs graph-based permutation tests on phyloseq object — graph_test_pq","text":"wrapper phyloseqGraphTest::graph_perm_test() quick plot important statistics","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/graph_test_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Performs graph-based permutation tests on phyloseq object — graph_test_pq","text":"","code":"graph_test_pq(   physeq,   fact,   merge_sample_by = NULL,   nperm = 999,   return_plot = TRUE,   title = \"Graph Test\",   na_remove = FALSE,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/graph_test_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Performs graph-based permutation tests on phyloseq object — graph_test_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. fact (required) Name factor cluster samples modalities. Need physeq@sam_data. factor two levels. merge_sample_by vector determine samples merge using merge_samples2() function. Need physeq@sam_data nperm (int) number permutations perform. return_plot (logical) return result test plot result? title title Graph. na_remove (logical, default FALSE) set TRUE, remove samples NA variables set formula. ... params passed phyloseqGraphTest::graph_perm_test() function","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/graph_test_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Performs graph-based permutation tests on phyloseq object — graph_test_pq","text":"ggplot2 plot subtitle indicating pvalue number permutations","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/graph_test_pq.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Performs graph-based permutation tests on phyloseq object — graph_test_pq","text":"function mainly wrapper work others. Please cite phyloseqGraphTest package.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/graph_test_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Performs graph-based permutation tests on phyloseq object — graph_test_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/graph_test_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Performs graph-based permutation tests on phyloseq object — graph_test_pq","text":"","code":"data(enterotype) graph_test_pq(enterotype, fact = \"SeqTech\")  graph_test_pq(enterotype, fact = \"Enterotype\", na_remove = TRUE) #> 9 were discarded due to NA in variables present in formula."},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/heat_tree_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Heat tree from metacoder package using tax_table slot — heat_tree_pq","title":"Heat tree from metacoder package using tax_table slot — heat_tree_pq","text":"Note number ASV store name n_obs number sequences name nb_sequences","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/heat_tree_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Heat tree from metacoder package using tax_table slot — heat_tree_pq","text":"","code":"heat_tree_pq(physeq, taxonomic_level = NULL, ...)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/heat_tree_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Heat tree from metacoder package using tax_table slot — heat_tree_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. taxonomic_level (default: NULL): vector selected taxonomic level using column numbers (e.g. taxonomic_level = 1:7) ... Arguments passed heat_tree","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/heat_tree_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Heat tree from metacoder package using tax_table slot — heat_tree_pq","text":"plot","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/heat_tree_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Heat tree from metacoder package using tax_table slot — heat_tree_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/heat_tree_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Heat tree from metacoder package using tax_table slot — heat_tree_pq","text":"","code":"library(\"metacoder\") #> This is metacoder version 0.3.6 (stable) #>  #> Attaching package: ‘metacoder’ #> The following object is masked from ‘package:ape’: #>  #>     complement #> The following object is masked from ‘package:ggplot2’: #>  #>     map_data #> The following object is masked from ‘package:phyloseq’: #>  #>     filter_taxa data(\"GlobalPatterns\", package = \"phyloseq\")  GPsubset <- subset_taxa(   GlobalPatterns,   GlobalPatterns@tax_table[, 1] == \"Bacteria\" ) #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’  GPsubset <- subset_taxa(   GPsubset,   rowSums(GPsubset@otu_table) > 5000 ) #> Error in eval(e, x, parent.frame()): object 'GPsubset' not found  GPsubset <- subset_taxa(   GPsubset,   rowSums(is.na(GPsubset@tax_table)) == 0 ) #> Error in eval(e, x, parent.frame()): object 'GPsubset' not found  heat_tree_pq(GPsubset,   node_size = n_obs,   node_color = n_obs,   node_label = taxon_names,   tree_label = taxon_names,   node_size_trans = \"log10 area\" ) #> The following 17689 of 19008 (93.1%) input indexes have `NA` in their classifications: #>    4, 6, 7, 8, 9, 10 ... 19003, 19004, 19005, 19006, 19007, 19008 #> No `cols` specified, so using all numeric columns: #>    CL3, CC1, SV1, M31Fcsw, M11Fcsw ... TS29, Even1, Even2, Even3 #> Summing per-taxon counts from 26 columns for 2616 taxa   if (FALSE) {   heat_tree_pq(GPsubset,     node_size = nb_sequences,     node_color = n_obs,     node_label = taxon_names,     tree_label = taxon_names,     node_size_trans = \"log10 area\"   ) }"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/hill_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Graphical representation of hill number 0, 1 and 2 across a factor — hill_pq","title":"Graphical representation of hill number 0, 1 and 2 across a factor — hill_pq","text":"Note function use sqrt read numbers linear model order correct uneven sampling depth.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/hill_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Graphical representation of hill number 0, 1 and 2 across a factor — hill_pq","text":"","code":"hill_pq(   physeq,   variable,   color_fac = NA,   letters = FALSE,   add_points = FALSE,   add_info = TRUE,   one_plot = FALSE,   correction_for_sample_size = TRUE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/hill_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Graphical representation of hill number 0, 1 and 2 across a factor — hill_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. variable (required): variable test. Must present sam_data slot physeq object. color_fac (optional): variable color barplot letters (optional, default=FALSE): set TRUE, plot show letters based p-values comparison. Use multcompLetters function package multcompLetters. BROKEN moment. Note na values variable param need removed (see examples) use letters. add_points (logical): add jitter point boxplot add_info (logical, default TRUE) add subtitle information number samples per modality ? one_plot (logical, default FALSE) TRUE, return unique plot four plot inside using patchwork package. Note letters one_plot TRUE, tuckey HSD results discarded unique plot. case, use one_plot = FALSE see tuckey HSD results fourth plot resulting list. correction_for_sample_size (logical, default TRUE) function use sqrt read numbers linear model order correct uneven sampling depth.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/hill_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Graphical representation of hill number 0, 1 and 2 across a factor — hill_pq","text":"Either unique ggplot2 object (one_plot TRUE) list 4 ggplot2 plot: plot_Hill_0 : boxplot Hill number 0 (= species richness) variable plot_Hill_1 : boxplot Hill number 1 (= Shannon index) variable plot_Hill_2 : boxplot Hill number 2 (= Simpson index) variable plot_tuckey : plot result Tuckey HSD test","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/hill_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Graphical representation of hill number 0, 1 and 2 across a factor — hill_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/hill_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Graphical representation of hill number 0, 1 and 2 across a factor — hill_pq","text":"","code":"p <- hill_pq(data_fungi, \"Height\") #> Taxa are now in rows. #> Cleaning suppress 0 taxa and 0 samples. p_h1 <- p[[1]] + theme(legend.position = \"none\") p_h2 <- p[[2]] + theme(legend.position = \"none\") p_h3 <- p[[3]] + theme(legend.position = \"none\") multiplot(plotlist = list(p_h1, p_h2, p_h3, p[[4]]), cols = 4)   # Artificially modify data_fungi to force alpha-diversity effect data_fungi_modif <- clean_pq(subset_samples_pq(data_fungi, !is.na(data_fungi@sam_data$Height))) #> Cleaning suppress 144 taxa and 0 samples. data_fungi_modif@otu_table[data_fungi_modif@sam_data$Height == \"High\", ] <-   data_fungi_modif@otu_table[data_fungi_modif@sam_data$Height == \"High\", ] +   sample(c(rep(0, ntaxa(data_fungi_modif) / 2), rep(100, ntaxa(data_fungi_modif) / 2))) p2 <- hill_pq(data_fungi_modif, \"Height\", letters = TRUE) #> Taxa are now in rows. #> Cleaning suppress 0 taxa and 0 samples. #> Joining with `by = join_by(Height)` #> Joining with `by = join_by(Height)` #> Joining with `by = join_by(Height)`"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/hill_tuckey_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate hill number and compute Tuckey post-hoc test — hill_tuckey_pq","title":"Calculate hill number and compute Tuckey post-hoc test — hill_tuckey_pq","text":"Note , default, function use sqrt read numbers linear model order correct uneven sampling depth.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/hill_tuckey_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate hill number and compute Tuckey post-hoc test — hill_tuckey_pq","text":"","code":"hill_tuckey_pq(   physeq,   modality,   silent = TRUE,   correction_for_sample_size = TRUE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/hill_tuckey_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate hill number and compute Tuckey post-hoc test — hill_tuckey_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. modality (required) variable test silent (logical) TRUE, message printing. correction_for_sample_size (logical, default TRUE) function use sqrt read numbers linear model order correct uneven sampling depth.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/hill_tuckey_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate hill number and compute Tuckey post-hoc test — hill_tuckey_pq","text":"ggplot2 object","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/hill_tuckey_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Calculate hill number and compute Tuckey post-hoc test — hill_tuckey_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/hill_tuckey_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate hill number and compute Tuckey post-hoc test — hill_tuckey_pq","text":"","code":"data(\"GlobalPatterns\", package = \"phyloseq\") GlobalPatterns@sam_data[, \"Soil_logical\"] <-   ifelse(GlobalPatterns@sam_data[, \"SampleType\"] == \"Soil\", \"Soil\", \"Not Soil\") hill_tuckey_pq(GlobalPatterns, \"Soil_logical\") #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/iNEXT_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"iNterpolation and EXTrapolation of Hill numbers (with iNEXT) — iNEXT_pq","text":"","code":"iNEXT_pq(physeq, merge_sample_by = NULL, ...)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/iNEXT_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"iNterpolation and EXTrapolation of Hill numbers (with iNEXT) — iNEXT_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. merge_sample_by (default: NULL) NULL samples physeq merged using vector set merge_sample_by. merging used merge_samples2(). case biplot_pq() must factor two levels . ... arguments iNEXT::iNEXT() function","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/iNEXT_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"iNterpolation and EXTrapolation of Hill numbers (with iNEXT) — iNEXT_pq","text":"see iNEXT::iNEXT() documentation","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/iNEXT_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"iNterpolation and EXTrapolation of Hill numbers (with iNEXT) — iNEXT_pq","text":"Adrien Taudière function mainly wrapper work others. Please make reference iNEXT::iNEXT() use function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/iNEXT_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"iNterpolation and EXTrapolation of Hill numbers (with iNEXT) — iNEXT_pq","text":"","code":"if (FALSE) { library(\"iNEXT\") data(\"GlobalPatterns\", package = \"phyloseq\") GPsubset <- subset_taxa(   GlobalPatterns,   GlobalPatterns@tax_table[, 1] == \"Bacteria\" ) GPsubset <- subset_taxa(   GPsubset,   rowSums(GPsubset@otu_table) > 1000 ) GPsubset <- subset_taxa(   GPsubset,   rowSums(is.na(GPsubset@tax_table)) == 0 ) GPsubset@sam_data$human <- GPsubset@sam_data$SampleType %in%   c(\"Skin\", \"Feces\", \"Tong\") res_iNEXT <- iNEXT_pq(   GPsubset,   merge_sample_by = \"human\",   q = 1,   datatype = \"abundance\",   nboot = 2 ) ggiNEXT(res_iNEXT) ggiNEXT(res_iNEXT, type = 2) ggiNEXT(res_iNEXT, type = 3) }"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/install_pkg_needed.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Install a package if not present — install_pkg_needed","text":"","code":"install_pkg_needed(   pkg,   use_pak = TRUE,   bioconductor_pkg = FALSE,   github_pkg = FALSE,   verbose = FALSE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/install_pkg_needed.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Install a package if not present — install_pkg_needed","text":"pkg name package use_pak (logical, default TRUE) Use pak::pkg_install(). FALSE use base install.package() function function BiocManager::install() bioconductor_pkg true function bioconductor_pkg (logical, default FALSE). use_pak TRUE, nothing, else use BiocManager::install() install package. github_pkg (logical, default FALSE). use_pak TRUE, nothing, else use devtools::install_github install package. verbose (logical, default FALSE) function print message?","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/install_pkg_needed.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Install a package if not present — install_pkg_needed","text":"Nothing","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/install_pkg_needed.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Install a package if not present — install_pkg_needed","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/krona.html","id":null,"dir":"Reference","previous_headings":"","what":"Make Krona files using KronaTools. — krona","title":"Make Krona files using KronaTools. — krona","text":"Need installation kronatools computer (installation instruction).","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/krona.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Make Krona files using KronaTools. — krona","text":"","code":"krona(   physeq,   file = \"krona.html\",   nb_seq = TRUE,   ranks = \"All\",   add_unassigned_rank = 0,   name = NULL )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/krona.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Make Krona files using KronaTools. — krona","text":"physeq (required): phyloseq-class object obtained using phyloseq package. file (required) location html file save nb_seq (logical) true, Krona set distribution sequences taxonomy. False, Krona set distribution ASVs taxonomy. ranks Number taxonomic ranks plot (num column tax_table slot physeq object). Default setting plot ranks (argument ''). add_unassigned_rank (int) Add unassigned rank inferior 'add_unassigned_rank' necessary. name name intermediary files, Useful name krona result files merging using merge_krona()","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/krona.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Make Krona files using KronaTools. — krona","text":"html file","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/krona.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Make Krona files using KronaTools. — krona","text":"function mainly wrapper work others. Please cite Krona use function.","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/krona.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Make Krona files using KronaTools. — krona","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/krona.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Make Krona files using KronaTools. — krona","text":"","code":"data(\"GlobalPatterns\", package = \"phyloseq\") GA <- subset_taxa(GlobalPatterns, Phylum == \"Acidobacteria\") #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ # krona(GA, \"Number.of.sequences.html\") # krona(GA, \"Number.of.ASVs.html\", nb_seq = FALSE) # merge_krona(c(\"Number.of.sequences.html\", \"Number.of.ASVs.html\"))"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/list_fastq_files.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"List fastq files — list_fastq_files","text":"","code":"list_fastq_files(   path,   paired_end = TRUE,   pattern = \"fastq\",   pattern_R1 = \"_R1_\",   pattern_R2 = \"_R2_\",   nb_files = Inf )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/list_fastq_files.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"List fastq files — list_fastq_files","text":"path path files (required) paired_end paired_end files? (default TRUE) pattern pattern filter files (passed list.files function). pattern_R1 pattern filter R1 files (default \"R1\") pattern_R2 pattern filter R2 files (default \"R2\") nb_files number fastq files list (default FALSE)","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/list_fastq_files.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"List fastq files — list_fastq_files","text":"list one (single end) two (paired end) list files files sorted names (default behavior list.files())","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/list_fastq_files.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"List fastq files — list_fastq_files","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/list_fastq_files.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"List fastq files — list_fastq_files","text":"","code":"list_fastq_files(\"extdata\") #> $fnfs #> character(0) #>  #> $fnrs #> character(0) #>  list_fastq_files(\"extdata\", paired_end = FALSE, pattern_R1 = \"\") #> $fnfs #> character(0) #>"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/lulu.html","id":null,"dir":"Reference","previous_headings":"","what":"Post Clustering Curation of Amplicon Data. — lulu","title":"Post Clustering Curation of Amplicon Data. — lulu","text":"original function documentation written Tobias Guldberg Frøslev lulu package. algorithm lulu consumes OTU table matchlist, evaluates cooccurence 'daughters' (potential analytical artefacts) 'parents' (~= real biological species/OTUs). algorithm requires OTU table (species/site matrix), match list. OTU table can made various r-packages (e.g. DADA2) external pipelines (VSEARCH, USEARCH, QIIME, etc.), match-list can made external bioinformatic tools like VSEARCH, USEARCH, BLASTN another algorithm pair-wise sequence matching.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/lulu.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Post Clustering Curation of Amplicon Data. — lulu","text":"","code":"lulu(   otu_table,   matchlist,   minimum_ratio_type = \"min\",   minimum_ratio = 1,   minimum_match = 84,   minimum_relative_cooccurence = 0.95,   progress_bar = TRUE,   log_conserved = FALSE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/lulu.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Post Clustering Curation of Amplicon Data. — lulu","text":"otu_table data.frame OTU table sites/samples columns OTUs (unique OTU id's) rows, observations read counts. matchlist data.frame containing three columns: (1) OTU id potential child, (2) OTU id potential parent, (3) match - % identiti sequences potential parent potential child OTUs. NB: matchlist product mapping OTU sequences . currently carried external script e.g. Blastn VSEARCH, prior running lulu! minimum_ratio_type sets whether potential error must lower abundance parent samples min (default), error just needs lower abundance average avg. Choosing lower abundance average globally lower abundance greatly increase number designated errors. option introduced make possible account non-sufficiently clustered intraspecific variation, generally recommended, also increase potential cluster well-separated, co-occuring, sequence similar species. minimum_ratio sets minimim abundance ratio potential error potential parent identified error. minimum_ratio_type set min (default), minimum_ratio applies lowest observed ration across samples.  minimum_ratio_type set avg (default), minimum_ratio applies mean observed ration across samples.avg. (default 1). minimum_match minimum threshold sequence similarity considering OTU error another can set (default 84%). minimum_relative_cooccurence minimum co-occurrence rate, .e. lower rate occurrence potential error explained co-occurrence potential parent considering error state. progress_bar (Logical, default TRUE) print progress calculation . log_conserved (Logical, default FALSE) conserved log files writed disk","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/lulu.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Post Clustering Curation of Amplicon Data. — lulu","text":"Function lulu returns list results based input OTU table match list. curated_table - curated OTU table daughters merged matching parents. curated_count - number curated (parent) OTUs. curated_otus - ids OTUs accepted valid OTUs. discarded_count - number discarded (merged parent) OTUs. discarded_otus - ids OTUs identified errors (daughters) merged respective parents. runtime - time used script. minimum_match - id threshold (minimum match \\ user). minimum_relative_cooccurence - minimum ratio daughter-occurences explained co-occurence parent (set user). otu_map - information daughters mapped parents. original_table - original OTU table. matchlist product mapping OTU sequences . currently carried external script e.g. BLASTN VSEARCH, prior running lulu! Producing match list requires file OTU sequences (centroids) - e.g. OTUcentroids.fasta. matchlist can produced mapping OTUs external algorithm like VSEARCH BLASTN. VSEARCH matchlist can produced e.g. following command: vsearch --usearch_global OTUcentroids.fasta --db OTUcentroids.fasta --strand plus --self --id .80 --iddef 1 --userout matchlist.txt --userfields query+target+id --maxaccepts 0 --query_cov .9 --maxhits 10. BLASTN matchlist can produces e.g. following commands. First produce blast-database fasta file: makeblastdb -OTUcentroids.fasta -parse_seqids -dbtype nucl, match centroids database: blastn -db OTUcentoids.fasta -num_threads 10 -outfmt'6 qseqid sseqid pident' -matchlist.txt -qcov_hsp_perc .90 -perc_identity .84 -query OTUcentroids.fasta","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/lulu.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Post Clustering Curation of Amplicon Data. — lulu","text":"Please cite lulu original paper: https://www.nature.com/articles/s41467-017-01312-x","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/lulu.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Post Clustering Curation of Amplicon Data. — lulu","text":"Tobias Guldberg Frøslev (orcid: 0000-0002-3530-013X), modified Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/lulu_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Lulu reclustering of class physeq — lulu_pq","title":"Lulu reclustering of class physeq — lulu_pq","text":"See https://www.nature.com/articles/s41467-017-01312-x information method.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/lulu_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Lulu reclustering of class physeq — lulu_pq","text":"","code":"lulu_pq(   physeq,   nproc = 1,   id = 0.84,   vsearchpath = \"vsearch\",   verbose = FALSE,   clean_pq = FALSE,   keep_temporary_files = FALSE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/lulu_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Lulu reclustering of class physeq — lulu_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. nproc (default 1) Set number cpus/processors use clustering id (default: 0.84) id --usearch_global. vsearchpath (default: vsearch) path vsearch. verbose (logical) true, print additional messages. clean_pq (logical) true, empty samples empty ASV discarded clustering. keep_temporary_files (logical, default: FALSE) keep temporary files","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/lulu_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Lulu reclustering of class physeq — lulu_pq","text":"list object \"new_physeq\": new phyloseq object (class physeq) \"discrepancy_vector\": vector discrepancy showing taxonomic level proportion identic value lulu reclustering. value 0.6 stands 60% ASV re-clustering identical value re-clustering. word, 40% ASV assigned different taxonomic value. NA value counted discrepancy. \"res_lulu\": list result lulu function \"merged_ASV\": data.frame used merged ASV","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/lulu_pq.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Lulu reclustering of class physeq — lulu_pq","text":"version LULU fork Adrien Taudière (https://github.com/adrientaudiere/lulu) https://github.com/tobiasgf/lulu","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/lulu_pq.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Lulu reclustering of class physeq — lulu_pq","text":"LULU : https://github.com/adrientaudiere/lulu forked https://github.com/tobiasgf/lulu. VSEARCH can downloaded https://github.com/torognes/vsearch.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/lulu_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Lulu reclustering of class physeq — lulu_pq","text":"Tobias Guldberg Frøslev tobiasgf@snm.ku.dk & Adrien Taudière adrien.taudiere@zaclys.net","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/lulu_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Lulu reclustering of class physeq — lulu_pq","text":"","code":"if (FALSE) { data(data_fungi_sp_known) lulu_pq(data_fungi_sp_known) }"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/merge_krona.html","id":null,"dir":"Reference","previous_headings":"","what":"Merge Krona files using KronaTools. — merge_krona","title":"Merge Krona files using KronaTools. — merge_krona","text":"Need installation kronatools computer (installation instruction). Function merge_krona allows merging multiple html files one interactive krona file Note need use name args krona() function merge_krona() order give good name krona pie output.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/merge_krona.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Merge Krona files using KronaTools. — merge_krona","text":"","code":"merge_krona(files = NULL, output = \"mergeKrona.html\")"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/merge_krona.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Merge Krona files using KronaTools. — merge_krona","text":"files (required) path html files merged output path output file","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/merge_krona.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Merge Krona files using KronaTools. — merge_krona","text":"html file","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/merge_krona.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Merge Krona files using KronaTools. — merge_krona","text":"function mainly wrapper work others. Please cite Krona use function.","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/merge_krona.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Merge Krona files using KronaTools. — merge_krona","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/merge_krona.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Merge Krona files using KronaTools. — merge_krona","text":"","code":"krona_error_or_not <- try(system(\"ktImportText 2>&1\", intern = TRUE)) #> Error in system(\"ktImportText 2>&1\", intern = TRUE) :  #>   error in running command if (class(krona_error_or_not) != \"try-error\") {   data(\"GlobalPatterns\", package = \"phyloseq\")   GA <- subset_taxa(GlobalPatterns, Phylum == \"Acidobacteria\")   krona(GA, \"Number.of.sequences.html\", name = \"Nb_seq_GP_acidobacteria\")   krona(GA, \"Number.of.ASVs.html\", nb_seq = FALSE, name = \"Nb_asv_GP_acidobacteria\")   merge_krona(c(\"Number.of.sequences.html\", \"Number.of.ASVs.html\"), \"mergeKrona.html\")   unlink(c(\"Number.of.sequences.html\", \"Number.of.ASVs.html\", \"mergeKrona.html\")) }"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/merge_samples2.html","id":null,"dir":"Reference","previous_headings":"","what":"Merge samples by a sample variable or factor — merge_samples2","title":"Merge samples by a sample variable or factor — merge_samples2","text":"Firstly release speedyseq R package Michael R. McLaren. function provides alternative phyloseq::merge_samples() better handles sample variables different types, especially categorical sample variables. combines samples x defined sample variable factor group summing abundances otu_table(x) combines sample variables summary functions funs. default summary function, unique_or_na(), collapses values within group single unique value exists otherwise returns NA. new (merged) samples named values group.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/merge_samples2.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Merge samples by a sample variable or factor — merge_samples2","text":"","code":"merge_samples2(x, group, fun_otu = sum, funs = list(), reorder = FALSE)  # S4 method for phyloseq merge_samples2(x, group, fun_otu = sum, funs = list(), reorder = FALSE)  # S4 method for otu_table merge_samples2(x, group, fun_otu = sum, reorder = FALSE)  # S4 method for sample_data merge_samples2(x, group, funs = list(), reorder = FALSE)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/merge_samples2.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Merge samples by a sample variable or factor — merge_samples2","text":"x phyloseq, otu_table, sample_data object group sample variable vector length nsamples(x) defining sample grouping. vector must supplied x otu_table fun_otu Function combining abundances otu table; default sum. Can formula converted function purrr::as_mapper() funs Named list merge functions sample variables; default unique_or_na reorder Logical specifying whether reorder new (merged) samples name","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/merge_samples2.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Merge samples by a sample variable or factor — merge_samples2","text":"Michael R. McLaren (orcid: 0000-0003-1575-473X) modified Adrien Taudiere","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/merge_samples2.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Merge samples by a sample variable or factor — merge_samples2","text":"","code":"data(enterotype)  # Merge samples with the same project and clinical status ps <- enterotype sample_data(ps) <- sample_data(ps) %>%   transform(Project.ClinicalStatus = Project:ClinicalStatus) sample_data(ps) %>% head() #>           Enterotype Sample_ID SeqTech  SampleID     Project Nationality Gender #> AM.AD.1         <NA>   AM.AD.1  Sanger   AM.AD.1      gill06    american      F #> AM.AD.2         <NA>   AM.AD.2  Sanger   AM.AD.2      gill06    american      M #> AM.F10.T1       <NA> AM.F10.T1  Sanger AM.F10.T1 turnbaugh09    american      F #> AM.F10.T2          3 AM.F10.T2  Sanger AM.F10.T2 turnbaugh09    american      F #> DA.AD.1            2   DA.AD.1  Sanger   DA.AD.1     MetaHIT      danish      F #> DA.AD.1T        <NA>  DA.AD.1T  Sanger      <NA>        <NA>        <NA>   <NA> #>           Age ClinicalStatus Project.ClinicalStatus #> AM.AD.1    28        healthy         gill06:healthy #> AM.AD.2    37        healthy         gill06:healthy #> AM.F10.T1  NA          obese      turnbaugh09:obese #> AM.F10.T2  NA          obese      turnbaugh09:obese #> DA.AD.1    59        healthy        MetaHIT:healthy #> DA.AD.1T   NA           <NA>                   <NA> ps0 <- merge_samples2(ps, \"Project.ClinicalStatus\",   fun_otu = mean,   funs = list(Age = mean) ) #> Warning: `group` has missing values; corresponding samples will be dropped sample_data(ps0) %>% head() #>                     Enterotype Sample_ID SeqTech SampleID     Project #> gill06:healthy            <NA>      <NA>  Sanger     <NA>      gill06 #> kurokawa07:healthy        <NA>      <NA>  Sanger     <NA>  kurokawa07 #> kurokawa07 :healthy       <NA>      <NA>  Sanger     <NA> kurokawa07  #> MetaHIT:CD                   1   ES.AD.1  Sanger  ES.AD.1     MetaHIT #> MetaHIT:healthy           <NA>      <NA>  Sanger     <NA>     MetaHIT #> MetaHIT:obese             <NA>      <NA>  Sanger     <NA>     MetaHIT #>                     Nationality Gender      Age ClinicalStatus #> gill06:healthy         american   <NA> 32.50000        healthy #> kurokawa07:healthy     japanese      M 15.12500        healthy #> kurokawa07 :healthy    japanese   <NA> 19.17364        healthy #> MetaHIT:CD              spanish      F 25.00000             CD #> MetaHIT:healthy            <NA>   <NA> 50.00000        healthy #> MetaHIT:obese            danish   <NA> 54.00000          obese #>                     Project.ClinicalStatus #> gill06:healthy              gill06:healthy #> kurokawa07:healthy      kurokawa07:healthy #> kurokawa07 :healthy    kurokawa07 :healthy #> MetaHIT:CD                      MetaHIT:CD #> MetaHIT:healthy            MetaHIT:healthy #> MetaHIT:obese                MetaHIT:obese"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/merge_taxa_vec.html","id":null,"dir":"Reference","previous_headings":"","what":"Merge taxa in groups (vectorized version) — merge_taxa_vec","title":"Merge taxa in groups (vectorized version) — merge_taxa_vec","text":"Firstly release speedyseq R package Michael R. McLaren. Merge taxa x smaller set taxa defined vector group. Taxa whose value group NA dropped. New taxa named according abundant taxon group (phyloseq otu_table objects) first taxon group (phyloseq component objects). x phyloseq object phylogenetic tree, new taxa ordered tree. Otherwise, taxa order can controlled reorder argument, behaves like reorder argument base::rowsum(). reorder = FALSE keep taxa original order determined member group first appears taxa_names(x); reorder = TRUE order new taxa according corresponding value group. tax_adjust argument controls handling taxonomic disagreements within groups. Setting tax_adjust == 0 causes adjustment; taxonomy new group set archetype taxon (see ). Otherwise, disagreements within group given rank cause values lower ranks set NA. tax_adjust == 1 (default), rank taxa group already NA counted disagreement, lower ranks may kept taxa agree. corresponds original phyloseq behavior. tax_adjust == 2, NAs treated disagreement; ranks set NA first disagreement NA.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/merge_taxa_vec.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Merge taxa in groups (vectorized version) — merge_taxa_vec","text":"","code":"merge_taxa_vec(x, group, reorder = FALSE, tax_adjust = 1L)  # S4 method for phyloseq merge_taxa_vec(x, group, reorder = FALSE, tax_adjust = 1L)  # S4 method for otu_table merge_taxa_vec(x, group, reorder = FALSE)  # S4 method for taxonomyTable merge_taxa_vec(x, group, reorder = FALSE, tax_adjust = 1L)  # S4 method for phylo merge_taxa_vec(x, group)  # S4 method for XStringSet merge_taxa_vec(x, group, reorder = FALSE)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/merge_taxa_vec.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Merge taxa in groups (vectorized version) — merge_taxa_vec","text":"x phyloseq object component object group vector one element taxon physeq defines new groups. see base::rowsum(). reorder Logical specifying whether reorder taxa group values. Ignored x () phylogenetic tree. tax_adjust 0: adjustment; 1: phyloseq-compatible adjustment; 2: conservative adjustment","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/merge_taxa_vec.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Merge taxa in groups (vectorized version) — merge_taxa_vec","text":"Michael R. McLaren (orcid: 0000-0003-1575-473X) modified Adrien Taudiere","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multi_biplot_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Visualization of a collection of couples of samples for comparison — multi_biplot_pq","title":"Visualization of a collection of couples of samples for comparison — multi_biplot_pq","text":"allow plot possible biplot_pq() combination using one factor.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multi_biplot_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Visualization of a collection of couples of samples for comparison — multi_biplot_pq","text":"","code":"multi_biplot_pq(physeq, split_by = NULL, pairs = NULL, na_remove = TRUE, ...)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multi_biplot_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Visualization of a collection of couples of samples for comparison — multi_biplot_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. split_by (required pairs NULL) name factor make combination couples values pairs (required pairs NULL) name factor physeq@sam_data` slot make plot pairs samples. level must present two times. Note set pairs, also must set fact arguments pass biplot_pq(). na_remove (logical, default TRUE) TRUE remove samples NA split_by variable physeq@sam_data slot ... parameters passed biplot_pq()","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multi_biplot_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Visualization of a collection of couples of samples for comparison — multi_biplot_pq","text":"list ggplot object","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multi_biplot_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Visualization of a collection of couples of samples for comparison — multi_biplot_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multi_biplot_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Visualization of a collection of couples of samples for comparison — multi_biplot_pq","text":"","code":"data_fungi_abun <- subset_taxa_pq(data_fungi, taxa_sums(data_fungi) > 10000) #> Cleaning suppress 0 taxa (  ) and 15 sample(s) ( BE9-006-B_S27_MERGED.fastq.gz / C21-NV1-M_S64_MERGED.fastq.gz / DJ2-008-B_S87_MERGED.fastq.gz / DY5-004-H_S97_MERGED.fastq.gz / DY5-004-M_S98_MERGED.fastq.gz / E9-009-B_S100_MERGED.fastq.gz / E9-009-H_S101_MERGED.fastq.gz / N22-001-B_S129_MERGED.fastq.gz / O20-X-B_S139_MERGED.fastq.gz / O21-007-M_S144_MERGED.fastq.gz / R28-008-H_S159_MERGED.fastq.gz / R28-008-M_S160_MERGED.fastq.gz / W26-001-M_S167_MERGED.fastq.gz / Y29-007-H_S182_MERGED.fastq.gz / Y29-007-M_S183_MERGED.fastq.gz ). #> Number of non-matching ASV 0 #> Number of matching ASV 1420 #> Number of filtered-out ASV 1385 #> Number of kept ASV 35 #> Number of kept samples 170 p <- multi_biplot_pq(data_fungi_abun, \"Height\") #> 54 were discarded due to NA in variables present in formula. #> Cleaning suppress 0 taxa and 0 samples. #> Scale for y is already present. #> Adding another scale for y, which will replace the existing scale. lapply(p, print) #> Warning: Removed 1 rows containing missing values (`geom_rect()`).  #> $`High - Low` #> Warning: Removed 1 rows containing missing values (`geom_rect()`).  #>"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multipatt_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Test and plot multipatt result — multipatt_pq","title":"Test and plot multipatt result — multipatt_pq","text":"wrapper indicspecies::multipatt() function case physeq object.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multipatt_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Test and plot multipatt result — multipatt_pq","text":"","code":"multipatt_pq(   physeq,   fact,   p_adjust_method = \"BH\",   pval = 0.05,   control = permute::how(nperm = 999),   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multipatt_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Test and plot multipatt result — multipatt_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. fact (required) Name factor physeq@sam_data used plot different lines p_adjust_method (chr, default \"BH\"): method used adjust p-value pval (int, default 0.05): value determine significance LCBD control see ?indicspecies::multipatt() ... Others arguments passed indicspecies::multipatt() function","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multipatt_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Test and plot multipatt result — multipatt_pq","text":"ggplot object","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multipatt_pq.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Test and plot multipatt result — multipatt_pq","text":"function mainly wrapper work others. Please make reference indicspecies::multipatt() use function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multipatt_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Test and plot multipatt result — multipatt_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multipatt_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Test and plot multipatt result — multipatt_pq","text":"","code":"data(data_fungi) data_fungi_ab <- subset_taxa_pq(data_fungi, taxa_sums(data_fungi) > 10000) #> Cleaning suppress 0 taxa (  ) and 15 sample(s) ( BE9-006-B_S27_MERGED.fastq.gz / C21-NV1-M_S64_MERGED.fastq.gz / DJ2-008-B_S87_MERGED.fastq.gz / DY5-004-H_S97_MERGED.fastq.gz / DY5-004-M_S98_MERGED.fastq.gz / E9-009-B_S100_MERGED.fastq.gz / E9-009-H_S101_MERGED.fastq.gz / N22-001-B_S129_MERGED.fastq.gz / O20-X-B_S139_MERGED.fastq.gz / O21-007-M_S144_MERGED.fastq.gz / R28-008-H_S159_MERGED.fastq.gz / R28-008-M_S160_MERGED.fastq.gz / W26-001-M_S167_MERGED.fastq.gz / Y29-007-H_S182_MERGED.fastq.gz / Y29-007-M_S183_MERGED.fastq.gz ). #> Number of non-matching ASV 0 #> Number of matching ASV 1420 #> Number of filtered-out ASV 1385 #> Number of kept ASV 35 #> Number of kept samples 170 multipatt_pq(subset_samples(data_fungi_ab, !is.na(Time)), fact = \"Time\") #> Taxa are now in columns. #> Cleaning suppress 0 taxa and 0 samples.  multipatt_pq(subset_samples(data_fungi_ab, !is.na(Time)),   fact = \"Time\",   max.order = 1, control = permute::how(nperm = 99) ) #> Taxa are now in columns. #> Cleaning suppress 0 taxa and 0 samples."},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multiplot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Multiple plot function — multiplot","text":"","code":"multiplot(..., plotlist = NULL, cols = 1, layout = NULL)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multiplot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Multiple plot function — multiplot","text":"... list ggplot objects plotlist list ggplot objects cols number columns layout matrix specifying layout. present, 'cols' ignored.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multiplot.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Multiple plot function — multiplot","text":"Nothing. Print list ggplot objects","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multitax_bar_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot taxonomic distribution across 3 taxonomic levels and optionally\none sample factor — multitax_bar_pq","title":"Plot taxonomic distribution across 3 taxonomic levels and optionally\none sample factor — multitax_bar_pq","text":"Note lvl3 need nested lvl2 need nested lvl1","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multitax_bar_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot taxonomic distribution across 3 taxonomic levels and optionally\none sample factor — multitax_bar_pq","text":"","code":"multitax_bar_pq(   physeq,   lvl1,   lvl2,   lvl3,   fact = NULL,   nb_seq = TRUE,   log10trans = TRUE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multitax_bar_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot taxonomic distribution across 3 taxonomic levels and optionally\none sample factor — multitax_bar_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. lvl1 (required) Name first (higher) taxonomic rank interest lvl2 (required) Name second (middle) taxonomic rank interest lvl3 (required) Name first (lower) taxonomic rank interest fact Name factor cluster samples modalities. Need physeq@sam_data. set, taxonomic distribution plot samples together. nb_seq (logical; default TRUE) set FALSE, number ASV count. Concretely, physeq otu_table transformed binary otu_table (value different zero set one) log10trans (logical, default TRUE) TRUE, number sequences (ASV nb_seq = FALSE) log10 transformed.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multitax_bar_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot taxonomic distribution across 3 taxonomic levels and optionally\none sample factor — multitax_bar_pq","text":"ggplot2 graphic","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multitax_bar_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot taxonomic distribution across 3 taxonomic levels and optionally\none sample factor — multitax_bar_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multitax_bar_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot taxonomic distribution across 3 taxonomic levels and optionally\none sample factor — multitax_bar_pq","text":"","code":"data(data_fungi_sp_known) multitax_bar_pq(data_fungi_sp_known, \"Phylum\", \"Class\", \"Order\", \"Time\")  multitax_bar_pq(data_fungi_sp_known, \"Phylum\", \"Class\", \"Order\")  multitax_bar_pq(data_fungi_sp_known, \"Phylum\", \"Class\", \"Order\",   nb_seq = FALSE, log10trans = FALSE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/mumu_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"MUMU reclustering of class physeq — mumu_pq","title":"MUMU reclustering of class physeq — mumu_pq","text":"See https://www.nature.com/articles/s41467-017-01312-x information original method LULU. wrapper mumu C++ re-implementation LULU Frédéric Mahé","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/mumu_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"MUMU reclustering of class physeq — mumu_pq","text":"","code":"mumu_pq(   physeq,   nproc = 1,   id = 0.84,   vsearchpath = \"vsearch\",   mumupath = \"mumu\",   verbose = FALSE,   clean_pq = TRUE,   keep_temporary_files = FALSE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/mumu_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"MUMU reclustering of class physeq — mumu_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. nproc (default 1) Set number cpus/processors use clustering id (default: 0.84) id --usearch_global. vsearchpath (default: vsearch) path vsearch. mumupath path mumu. See mumu installation instruction verbose (logical) true, print additional messages. clean_pq (logical) true, empty samples empty ASV discarded clustering. keep_temporary_files (logical, default: FALSE) keep temporary files","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/mumu_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"MUMU reclustering of class physeq — mumu_pq","text":"list object \"new_physeq\": new phyloseq object (class physeq) \"mumu_results\": log file mumu software. Run man mumu bash obtain details columns' signification.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/mumu_pq.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"MUMU reclustering of class physeq — mumu_pq","text":"function mainly wrapper work others. Please cite mumu lulu use function work.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/mumu_pq.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"MUMU reclustering of class physeq — mumu_pq","text":"MUMU: https://github.com/frederic-mahe/mumu VSEARCH can downloaded https://github.com/torognes/vsearch.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/mumu_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"MUMU reclustering of class physeq — mumu_pq","text":"Frédéric Mahé & Adrien Taudière adrien.taudiere@zaclys.net","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/mumu_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"MUMU reclustering of class physeq — mumu_pq","text":"","code":"if (FALSE) { data(data_fungi_sp_known) mumu_pq(data_fungi_sp_known) }"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/perc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert a value (or a fraction x/y) in percentage — perc","text":"","code":"perc(x, y = NULL, accuracy = 0, add_symbol = FALSE)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/perc.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert a value (or a fraction x/y) in percentage — perc","text":"x (required): value y y set, compute division x y accuracy number digits (number digits zero) add_symbol set TRUE add % symbol value","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/perc.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Convert a value (or a fraction x/y) in percentage — perc","text":"percentage value (number character add_symbol set TRUE)","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/perc.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Convert a value (or a fraction x/y) in percentage — perc","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/phyloseq_to_edgeR.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert phyloseq OTU count data into DGEList for edgeR package — phyloseq_to_edgeR","title":"Convert phyloseq OTU count data into DGEList for edgeR package — phyloseq_to_edgeR","text":"Convert phyloseq OTU count data DGEList edgeR package","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/phyloseq_to_edgeR.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert phyloseq OTU count data into DGEList for edgeR package — phyloseq_to_edgeR","text":"","code":"phyloseq_to_edgeR(physeq, group, method = \"RLE\", ...)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/phyloseq_to_edgeR.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert phyloseq OTU count data into DGEList for edgeR package — phyloseq_to_edgeR","text":"physeq (required): phyloseq-class object obtained using phyloseq package. group (required) character vector factor giving experimental group/condition sample/library. Alternatively, may provide name sample variable. name among output sample_variables(physeq), case get_variable(physeq, group) return either character vector factor. passed DGEList, may find details examples documentation. method label edgeR-implemented normalization use. See calcNormFactors supported options details. default option \"RLE\", scaling factor method proposed Anders Huber (2010). time writing, edgeR package supported following options method argument: c(\"TMM\", \"RLE\", \"upperquartile\", \"none\"). ... Additional arguments passed DGEList","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/phyloseq_to_edgeR.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Convert phyloseq OTU count data into DGEList for edgeR package — phyloseq_to_edgeR","text":"DGEList object. See edgeR::estimateTagwiseDisp() details.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/physeq_or_string_to_dna.html","id":null,"dir":"Reference","previous_headings":"","what":"Return a DNAStringSet object from either a character vector of DNA sequences\nor the refseq slot of a phyloseq-class object — physeq_or_string_to_dna","title":"Return a DNAStringSet object from either a character vector of DNA sequences\nor the refseq slot of a phyloseq-class object — physeq_or_string_to_dna","text":"Internally used vsearch_clustering(), swarm_clustering() asv2otu().","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/physeq_or_string_to_dna.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Return a DNAStringSet object from either a character vector of DNA sequences\nor the refseq slot of a phyloseq-class object — physeq_or_string_to_dna","text":"","code":"physeq_or_string_to_dna(physeq = NULL, dna_seq = NULL)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/physeq_or_string_to_dna.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Return a DNAStringSet object from either a character vector of DNA sequences\nor the refseq slot of a phyloseq-class object — physeq_or_string_to_dna","text":"physeq (required): phyloseq-class object obtained using phyloseq package. dna_seq may directly use character vector DNA sequences place physeq args. physeq set, dna sequences take value physeq@refseq","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/physeq_or_string_to_dna.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Return a DNAStringSet object from either a character vector of DNA sequences\nor the refseq slot of a phyloseq-class object — physeq_or_string_to_dna","text":"object class DNAStringSet (see Biostrings::DNAStringSet() function)","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/physeq_or_string_to_dna.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Return a DNAStringSet object from either a character vector of DNA sequences\nor the refseq slot of a phyloseq-class object — physeq_or_string_to_dna","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/physeq_or_string_to_dna.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Return a DNAStringSet object from either a character vector of DNA sequences\nor the refseq slot of a phyloseq-class object — physeq_or_string_to_dna","text":"","code":"dna <- physeq_or_string_to_dna(data_fungi) dna #> DNAStringSet object of length 1420: #>        width seq                                            names                #>    [1]   312 AAATGCGATAAGTAATGTGAAT...TAGGAATACCCGCTGAACTTA ASV2 #>    [2]   301 AAATGCGATAAGTAATGTGAAT...TAGGAATACCCGCTGAACTTA ASV6 #>    [3]   349 AAATGCGATAAGTAATGTGAAT...TGGGACTACCCGCTGAACTTA ASV7 #>    [4]   357 AAATGCGATAAGTAATGTGAAT...TGGGACTACCCGCTGAACTTA ASV8 #>    [5]   300 AAATGCGATAAGTAATGTGAAT...TAGGAATACCCGCTGAACTTA ASV10 #>    ...   ... ... #> [1416]   339 AATCGCGATATGTAGTGTGATC...GGGATTACCCGCTGAACTTAA ASV1712 #> [1417]   356 GAAACGCGATATGTAATCGTGC...TAGGACTACCCGCTGAACTTA ASV1714 #> [1418]   420 AACTGCGAAACGTCATGTGACC...TAAGGATACCCGCTGAACTTA ASV1716 #> [1419]   337 GAAGTGCGATAAGCAATGCGAA...CAGGATCACCCGCTGAACTTA ASV1719 #> [1420]   260 AAACGCGAAAAGTGTTATGATG...AAGATCACCCGCTGAACTTAA ASV1726  sequences_ex <- c(   \"TACCTATGTTGCCTTGGCGGCTAAACCTACCCGGGATTTGATGGGGCGAATTAATAACGAATTCATTGAATCA\",   \"TACCTATGTTGCCTTGGCGGCTAAACCTACCCGGGATTTGATGGGGCGAATTACCTGGTAAGGCCCACTT\",   \"TACCTATGTTGCCTTGGCGGCTAAACCTACCCGGGATTTGATGGGGCGAATTACCTGGTAGAGGTG\",   \"TACCTATGTTGCCTTGGCGGCTAAACCTACC\",   \"CGGGATTTGATGGCGAATTACCTGGTATTTTAGCCCACTTACCCGGTACCATGAGGTG\",   \"GCGGCTAAACCTACCCGGGATTTGATGGCGAATTACCTGG\",   \"GCGGCTAAACCTACCCGGGATTTGATGGCGAATTACAAAG\",   \"GCGGCTAAACCTACCCGGGATTTGATGGCGAATTACAAAG\",   \"GCGGCTAAACCTACCCGGGATTTGATGGCGAATTACAAAG\" ) dna2 <- physeq_or_string_to_dna(dna_seq = sequences_ex) dna2 #> DNAStringSet object of length 9: #>     width seq #> [1]    73 TACCTATGTTGCCTTGGCGGCTAAACCTACCCGG...ATGGGGCGAATTAATAACGAATTCATTGAATCA #> [2]    70 TACCTATGTTGCCTTGGCGGCTAAACCTACCCGGGATTTGATGGGGCGAATTACCTGGTAAGGCCCACTT #> [3]    66 TACCTATGTTGCCTTGGCGGCTAAACCTACCCGGGATTTGATGGGGCGAATTACCTGGTAGAGGTG #> [4]    31 TACCTATGTTGCCTTGGCGGCTAAACCTACC #> [5]    58 CGGGATTTGATGGCGAATTACCTGGTATTTTAGCCCACTTACCCGGTACCATGAGGTG #> [6]    40 GCGGCTAAACCTACCCGGGATTTGATGGCGAATTACCTGG #> [7]    40 GCGGCTAAACCTACCCGGGATTTGATGGCGAATTACAAAG #> [8]    40 GCGGCTAAACCTACCCGGGATTTGATGGCGAATTACAAAG #> [9]    40 GCGGCTAAACCTACCCGGGATTTGATGGCGAATTACAAAG"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_LCBD_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot and test local contributions to beta diversity (LCBD) of samples — plot_LCBD_pq","title":"Plot and test local contributions to beta diversity (LCBD) of samples — plot_LCBD_pq","text":"wrapper adespatial::beta.div() function case physeq object.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_LCBD_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot and test local contributions to beta diversity (LCBD) of samples — plot_LCBD_pq","text":"","code":"plot_LCBD_pq(   physeq,   p_adjust_method = \"BH\",   pval = 0.05,   sam_variables = NULL,   only_plot_significant = TRUE,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_LCBD_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot and test local contributions to beta diversity (LCBD) of samples — plot_LCBD_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. p_adjust_method (chr, default \"BH\"): method used adjust p-value pval (int, default 0.05): value determine significance LCBD sam_variables vector variables names present sam_data slot plot alongside LCBD value only_plot_significant (logical, default TRUE) plot LCBD values significant ones ... Others arguments passed adespatial::beta.div() function","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_LCBD_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot and test local contributions to beta diversity (LCBD) of samples — plot_LCBD_pq","text":"ggplot object build package patchwork","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_LCBD_pq.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot and test local contributions to beta diversity (LCBD) of samples — plot_LCBD_pq","text":"function mainly wrapper work others. Please make reference vegan::beta.div() use function.","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_LCBD_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot and test local contributions to beta diversity (LCBD) of samples — plot_LCBD_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_LCBD_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot and test local contributions to beta diversity (LCBD) of samples — plot_LCBD_pq","text":"","code":"data(data_fungi) plot_LCBD_pq(data_fungi_mini,   nperm = 100, only_plot_significant = FALSE,   pval = 0.2 ) #> Taxa are now in columns.  plot_LCBD_pq(data_fungi_mini,   nperm = 100, only_plot_significant = TRUE,   pval = 0.2 ) #> Taxa are now in columns.  library(\"patchwork\") plot_LCBD_pq(data_fungi_mini,   nperm = 100, only_plot_significant = FALSE,   sam_variables = c(\"Time\", \"Height\") ) #> Taxa are now in columns.  plot_LCBD_pq(data_fungi_mini,   nperm = 100, only_plot_significant = TRUE, pval = 0.2,   sam_variables = c(\"Time\", \"Height\", \"Tree_name\") ) &   theme(     legend.key.size = unit(0.4, \"cm\"),     legend.text = element_text(size = 10),     axis.title.x = element_text(size = 6)   ) #> Taxa are now in columns."},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_SCBD_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot species contributions to beta diversity (SCBD) of samples — plot_SCBD_pq","title":"Plot species contributions to beta diversity (SCBD) of samples — plot_SCBD_pq","text":"wrapper adespatial::beta.div() function case physeq object.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_SCBD_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot species contributions to beta diversity (SCBD) of samples — plot_SCBD_pq","text":"","code":"plot_SCBD_pq(   physeq,   tax_level = \"ASV\",   tax_col = \"Order\",   min_SCBD = 0.01,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_SCBD_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot species contributions to beta diversity (SCBD) of samples — plot_SCBD_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. tax_level Taxonomic level used y axis tax_col Taxonomic level colored points min_SCBD (default: 0.01) minimum SCBD value plot taxa ... Others arguments passed adespatial::beta.div() function","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_SCBD_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot species contributions to beta diversity (SCBD) of samples — plot_SCBD_pq","text":"ggplot object build package patchwork","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_SCBD_pq.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot species contributions to beta diversity (SCBD) of samples — plot_SCBD_pq","text":"function mainly wrapper work others. Please make reference vegan::beta.div() use function.","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_SCBD_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot species contributions to beta diversity (SCBD) of samples — plot_SCBD_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_SCBD_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot species contributions to beta diversity (SCBD) of samples — plot_SCBD_pq","text":"","code":"data(data_fungi) plot_SCBD_pq(data_fungi) +   geom_text(aes(label = paste(Genus, Species)), hjust = 1, vjust = 2) +   xlim(c(0, NA))   plot_SCBD_pq(data_fungi, tax_level = \"Class\", tax_col = \"Phylum\", min_SCBD = 0) +   geom_jitter()"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_deseq2_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot DESeq2 results for a phyloseq or a DESeq2 object. — plot_deseq2_pq","text":"","code":"plot_deseq2_pq(   data,   contrast = NULL,   tax_table = NULL,   pval = 0.05,   taxolev = \"Genus\",   select_taxa = NULL,   color_tax = \"Phylum\",   tax_depth = NULL,   verbose = TRUE,   jitter_width = 0.1,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_deseq2_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot DESeq2 results for a phyloseq or a DESeq2 object. — plot_deseq2_pq","text":"data (required) phyloseq-class DESeqDataSet-class object. contrast (required) contrast specifies comparison extract object build results table. See results man page details. tax_table Required data DESeqDataSet-class object. taxonomic table used find taxa color_taxa arguments. data phyloseq-class object, data@tax_table used. pval (default: 0.05) significance cutoff used optimizing independent filtering. adjusted p-value cutoff (FDR) value 0.05, pval set value. taxolev taxonomic level interest select_taxa Either name taxa (form DESeq2::results()) logical vector (length results DESeq2::results()) select taxa plot. color_tax taxonomic level used color color vector. tax_depth Taxonomic depth test differential distribution among contrast. Null analysis done OTU (.e. Species) level. Null, data need column name tax_table slot phyloseq-class object. verbose whether function print information computation jitter_width width jitter positioning ... Additional arguments passed DESeq ggplot","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_deseq2_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot DESeq2 results for a phyloseq or a DESeq2 object. — plot_deseq2_pq","text":"ggplot2 plot representing DESeq2 results","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_deseq2_pq.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot DESeq2 results for a phyloseq or a DESeq2 object. — plot_deseq2_pq","text":"Please cite DESeq2 package use chis function.","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_deseq2_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot DESeq2 results for a phyloseq or a DESeq2 object. — plot_deseq2_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_deseq2_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot DESeq2 results for a phyloseq or a DESeq2 object. — plot_deseq2_pq","text":"","code":"data(\"GlobalPatterns\", package = \"phyloseq\") GP <- subset_taxa(GlobalPatterns, GlobalPatterns@tax_table[, 1] == \"Archaea\") #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ GP <- subset_samples(GP, SampleType %in% c(\"Soil\", \"Skin\")) #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ res <- DESeq2::DESeq(phyloseq_to_deseq2(GP, ~SampleType),   test = \"Wald\", fitType = \"local\" ) #> converting counts to integer mode #> estimating size factors #> estimating dispersions #> gene-wise dispersion estimates #> mean-dispersion relationship #> final dispersion estimates #> fitting model and testing plot_deseq2_pq(res, c(\"SampleType\", \"Soil\", \"Skin\"),   tax_table = GP@tax_table, color_tax = \"Kingdom\" )  plot_deseq2_pq(res, c(\"SampleType\", \"Soil\", \"Skin\"),   tax_table = GP@tax_table, color_tax = \"Kingdom\",   pval = 0.7 )  plot_deseq2_pq(res, c(\"SampleType\", \"Soil\", \"Skin\"),   tax_table = GP@tax_table, color_tax = \"Class\",   select_taxa = c(\"522457\", \"271582\") ) #> None taxa present significant distribution pattern through #>               contrast. #> [1] \"None taxa present significant distribution pattern through\\n             contrast.\""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_edgeR_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot edgeR results for a phyloseq or a edgeR object. — plot_edgeR_pq","text":"","code":"plot_edgeR_pq(   physeq,   contrast = NULL,   pval = 0.05,   taxolev = \"Genus\",   color_tax = \"Phylum\",   verbose = TRUE,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_edgeR_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot edgeR results for a phyloseq or a edgeR object. — plot_edgeR_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. contrast (required):argument specifies comparison extract object build results table. See results man page details. pval (default: 0.05): significance cutoff used optimizing independent filtering. adjusted p-value cutoff (FDR) value 0.05, pval set value. taxolev taxonomic level interest color_tax taxonomic level used color assignation verbose (logical): whether function print information computation ... Additional arguments passed exactTest ggplot","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_edgeR_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot edgeR results for a phyloseq or a edgeR object. — plot_edgeR_pq","text":"ggplot2 plot representing edgeR results","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_edgeR_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot edgeR results for a phyloseq or a edgeR object. — plot_edgeR_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_edgeR_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot edgeR results for a phyloseq or a edgeR object. — plot_edgeR_pq","text":"","code":"data(\"GlobalPatterns\", package = \"phyloseq\") GP_archae <- subset_taxa(GlobalPatterns, GlobalPatterns@tax_table[, 1] == \"Archaea\") #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ plot_edgeR_pq(GP_archae, c(\"SampleType\", \"Soil\", \"Feces\"),   color_tax = \"Kingdom\" ) #> Conversion to edgeR format #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Perform edgeR binary test  if (FALSE) { plot_edgeR_pq(GP_archae, c(\"SampleType\", \"Soil\", \"Feces\"),   taxolev = \"Class\", color_tax = \"Kingdom\" ) }"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_guild_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot information about Guild from tax_table slot previously\ncreated with add_funguild_info() — plot_guild_pq","text":"","code":"plot_guild_pq(physeq, levels_order = NULL, clean_pq = TRUE, ...)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_guild_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot information about Guild from tax_table slot previously\ncreated with add_funguild_info() — plot_guild_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. levels_order (Default NULL) character vector reorder levels guild. See examples. clean_pq (logical, default TRUE): phyloseq object cleaned using clean_pq() function? ... params passed clean_pq() function","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_guild_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot information about Guild from tax_table slot previously\ncreated with add_funguild_info() — plot_guild_pq","text":"ggplot2 object","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_guild_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot information about Guild from tax_table slot previously\ncreated with add_funguild_info() — plot_guild_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_guild_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot information about Guild from tax_table slot previously\ncreated with add_funguild_info() — plot_guild_pq","text":"","code":"if (FALSE) {  df <- subset_taxa_pq(data_fungi, taxa_sums(data_fungi) > 5000) df <- add_funguild_info(df,   taxLevels = c(     \"Domain\", \"Phylum\", \"Class\", \"Order\",     \"Family\", \"Genus\", \"Species\"   ) ) p <- plot_guild_pq(df) library(\"patchwork\") (plot_guild_pq(subset_samples(df, Height == \"Low\"),   levels_order = p$data$Guild[order(p$data$nb_seq)] ) + theme(legend.position = \"none\")) +   (plot_guild_pq(subset_samples(df, Height == \"High\"),     levels_order = p$data$Guild[order(p$data$nb_seq)]   ) + ylab(\"\") + theme(axis.text.y = element_blank())) }"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_mt.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot the result of a mt test phyloseq::mt() — plot_mt","text":"","code":"plot_mt(mt = NULL, alpha = 0.05, color_tax = \"Class\", taxa = \"Species\")"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_mt.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot the result of a mt test phyloseq::mt() — plot_mt","text":"mt (required) Result mt test function phyloseq::mt(). alpha (default: 0.05) Choose cut p-value plot taxa. color_tax (default: \"Class\") taxonomic level color points. taxa (default: \"Species\") taxonomic level choose x-positioning.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_mt.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot the result of a mt test phyloseq::mt() — plot_mt","text":"ggplot2 plot result mt test","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_mt.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot the result of a mt test phyloseq::mt() — plot_mt","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_mt.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot the result of a mt test phyloseq::mt() — plot_mt","text":"","code":"# Filter samples that don't have Enterotype data_fungi <- subset_samples(data_fungi, !is.na(Time)) res <- mt(data_fungi, \"Time\", method = \"fdr\", test = \"f\", B = 300) #> B=300 #> b=3\tb=6\tb=9\tb=12\tb=15\tb=18\tb=21\tb=24\tb=27\tb=30\t #> b=33\tb=36\tb=39\tb=42\tb=45\tb=48\tb=51\tb=54\tb=57\tb=60\t #> b=63\tb=66\tb=69\tb=72\tb=75\tb=78\tb=81\tb=84\tb=87\tb=90\t #> b=93\tb=96\tb=99\tb=102\tb=105\tb=108\tb=111\tb=114\tb=117\tb=120\t #> b=123\tb=126\tb=129\tb=132\tb=135\tb=138\tb=141\tb=144\tb=147\tb=150\t #> b=153\tb=156\tb=159\tb=162\tb=165\tb=168\tb=171\tb=174\tb=177\tb=180\t #> b=183\tb=186\tb=189\tb=192\tb=195\tb=198\tb=201\tb=204\tb=207\tb=210\t #> b=213\tb=216\tb=219\tb=222\tb=225\tb=228\tb=231\tb=234\tb=237\tb=240\t #> b=243\tb=246\tb=249\tb=252\tb=255\tb=258\tb=261\tb=264\tb=267\tb=270\t #> b=273\tb=276\tb=279\tb=282\tb=285\tb=288\tb=291\tb=294\tb=297\tb=300\t #> r=14\tr=28\tr=42\tr=56\tr=70\tr=84\tr=98\tr=112\tr=126\tr=140\t #> r=154\tr=168\tr=182\tr=196\tr=210\tr=224\tr=238\tr=252\tr=266\tr=280\t #> r=294\tr=308\tr=322\tr=336\tr=350\tr=364\tr=378\tr=392\tr=406\tr=420\t #> r=434\tr=448\tr=462\tr=476\tr=490\tr=504\tr=518\tr=532\tr=546\tr=560\t #> r=574\tr=588\tr=602\tr=616\tr=630\tr=644\tr=658\tr=672\tr=686\tr=700\t #> r=714\tr=728\tr=742\tr=756\tr=770\tr=784\tr=798\tr=812\tr=826\tr=840\t #> r=854\tr=868\tr=882\tr=896\tr=910\tr=924\tr=938\tr=952\tr=966\tr=980\t #> r=994\tr=1008\tr=1022\tr=1036\tr=1050\tr=1064\tr=1078\tr=1092\tr=1106\tr=1120\t #> r=1134\tr=1148\tr=1162\tr=1176\tr=1190\tr=1204\tr=1218\tr=1232\tr=1246\tr=1260\t #> r=1274\tr=1288\tr=1302\tr=1316\tr=1330\tr=1344\tr=1358\tr=1372\tr=1386\tr=1400\t #> r=1414\t plot_mt(res) #> Warning: invalid factor level, NA generated #> Warning: Removed 27 rows containing missing values (`geom_point()`).  plot_mt(res, taxa = \"Genus\", color_tax = \"Order\") #> Warning: invalid factor level, NA generated #> Warning: Removed 27 rows containing missing values (`geom_point()`)."},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_tax_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot taxonomic distribution in function of a factor with stacked bar in % — plot_tax_pq","title":"Plot taxonomic distribution in function of a factor with stacked bar in % — plot_tax_pq","text":"alternative phyloseq::plot_bar() function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_tax_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot taxonomic distribution in function of a factor with stacked bar in % — plot_tax_pq","text":"","code":"plot_tax_pq(   physeq,   fact = NULL,   merge_sample_by = NULL,   type = \"nb_seq\",   taxa_fill = \"Order\",   print_values = TRUE,   color_border = \"lightgrey\",   linewidth = 0.1,   prop_print_value = 0.01,   nb_print_value = NULL,   add_info = TRUE,   na_remove = TRUE,   clean_pq = TRUE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_tax_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot taxonomic distribution in function of a factor with stacked bar in % — plot_tax_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. fact (required) Name factor cluster samples modalities. Need physeq@sam_data. merge_sample_by vector determine samples merge using merge_samples2() function. Need physeq@sam_data type \"nb_seq\" (default), number sequences used plot. \"nb_asv\", number ASV plotted. , return list two plots, one nbSeq one ASV. taxa_fill (default: 'Order'): Name taxonomic rank interest print_values (logical, default TRUE): print values plot? color_border color border linewidth line width geom_bar prop_print_value minimal proportion print value (default 0.01) nb_print_value number higher values print (replace prop_print_value set). add_info (logical, default TRUE) add title subtitle information total number sequences number samples per modality. na_remove (logical, default TRUE) TRUE remove samples NA split_by variable physeq@sam_data slot clean_pq (logical) set TRUE, empty samples discarded subsetting ASV","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_tax_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot taxonomic distribution in function of a factor with stacked bar in % — plot_tax_pq","text":"ggplot2 graphic","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_tax_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot taxonomic distribution in function of a factor with stacked bar in % — plot_tax_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_tax_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot taxonomic distribution in function of a factor with stacked bar in % — plot_tax_pq","text":"","code":"data(data_fungi_sp_known) plot_tax_pq(data_fungi_sp_known,   \"Time\",   merge_sample_by = \"Time\",   taxa_fill = \"Class\" ) #> 23 were discarded due to NA in variables present in formula. #> Cleaning suppress 3 taxa and 1 samples.   plot_tax_pq(data_fungi_sp_known,   \"Height\",   merge_sample_by = \"Height\",   taxa_fill = \"Class\",   na_remove = TRUE,   color_border = rgb(0, 0, 0, 0) ) #> 54 were discarded due to NA in variables present in formula. #> Cleaning suppress 52 taxa and 1 samples.   plot_tax_pq(data_fungi_sp_known,   \"Height\",   merge_sample_by = \"Height\",   taxa_fill = \"Class\",   na_remove = FALSE,   clean_pq = FALSE ) #> Warning: `group` has missing values; corresponding samples will be dropped"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_tsne_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot a tsne low dimensional representation of a phyloseq object — plot_tsne_pq","text":"","code":"plot_tsne_pq(   physeq,   method = \"bray\",   dims = 2,   theta = 0,   perplexity = 30,   fact = NA,   ellipse_level = 0.95,   plot_dims = c(1, 2),   na_remove = TRUE,   force_factor = TRUE,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_tsne_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot a tsne low dimensional representation of a phyloseq object — plot_tsne_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. method method calculate distance using vegan::vegdist() function (default: \"bray\") dims (Int) Output dimensionality (default: 2) theta (Numeric) Speed/accuracy trade-(increase less accuracy), set 0.0 exact TSNE (default: 0.0 see details man page Rtsne::Rtsne). perplexity (Numeric) Perplexity parameter (bigger 3 * perplexity < nrow(X) - 1, see details man page Rtsne::Rtsne) fact Name column physeq@sam_data used color points compute ellipses. ellipse_level level used stat_ellipse. Set NULL discard ellipse (default = 0.95) plot_dims vector 2 values defining rank dimension plot (default: c(1,2)) na_remove (logical, default TRUE) samples NA values fact removed? (default: true) force_factor (logical, default TRUE) Force fact column factor. ... : arguments passed Rtsne::Rtsne()","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_tsne_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot a tsne low dimensional representation of a phyloseq object — plot_tsne_pq","text":"ggplot object","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_tsne_pq.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot a tsne low dimensional representation of a phyloseq object — plot_tsne_pq","text":"Partially inspired phylosmith::tsne_phyloseq() function developed Schuyler D. Smith.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_tsne_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot a tsne low dimensional representation of a phyloseq object — plot_tsne_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_tsne_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot a tsne low dimensional representation of a phyloseq object — plot_tsne_pq","text":"","code":"data(data_fungi) plot_tsne_pq(data_fungi, fact = \"Height\", perplexity = 15) #> Taxa are now in rows.  plot_tsne_pq(data_fungi, fact = \"Time\") + geom_label(aes(label = Sample_id, fill = Time)) #> Taxa are now in rows.  plot_tsne_pq(data_fungi, fact = \"Time\", na_remove = FALSE, force_factor = FALSE) #> Taxa are now in rows."},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/read_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Read phyloseq object from multiple csv tables and a phylogenetic tree\nin Newick format. — read_pq","text":"","code":"read_pq(   path = NULL,   taxa_are_rows = FALSE,   sam_names = NULL,   sep_csv = \"\\t\",   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/read_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Read phyloseq object from multiple csv tables and a phylogenetic tree\nin Newick format. — read_pq","text":"path (required) path folder read phyloseq object taxa_are_rows (required, default FALSE) see ?phyloseq details sam_names name variable (column) sam_data.csv rename samples. Note use write_phyloseq() function save physeq object, may use sam_names = \"X\" rename samples names . sep_csv (default tabulation) separator column ... arguments passed utils::write.table() function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/read_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Read phyloseq object from multiple csv tables and a phylogenetic tree\nin Newick format. — read_pq","text":"One four csv tables (refseq.csv, otu_table.csv, tax_table.csv, sam_data.csv) present phy_tree Newick format. least otu_table.csv need present.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/read_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Read phyloseq object from multiple csv tables and a phylogenetic tree\nin Newick format. — read_pq","text":"","code":"if (FALSE) { read_pq(path = \"phyloseq_data\") read_pq(path = \"phyloseq_data\", taxa_are_rows = TRUE) }"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/rename_samples.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Rename the samples of a phyloseq slot — rename_samples","text":"","code":"rename_samples(phyloseq_component, names_of_samples)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/rename_samples.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Rename the samples of a phyloseq slot — rename_samples","text":"phyloseq_component (required) one otu_table sam_data slot phyloseq-class object names_of_samples (required) vector samples names","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/rename_samples.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Rename the samples of a phyloseq slot — rename_samples","text":"otu_table sam_data slot new samples names","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/rename_samples.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Rename the samples of a phyloseq slot — rename_samples","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/rename_samples.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Rename the samples of a phyloseq slot — rename_samples","text":"","code":"otutab <- rename_samples(   data_fungi@otu_table,   paste0(\"data_f\", sample_names(data_fungi)) ) otutab2 <- rename_samples(   clean_pq(data_fungi,     force_taxa_as_rows = TRUE   )@otu_table,   paste0(\"data_f\", sample_names(data_fungi)) ) #> Taxa are now in rows. #> Cleaning suppress 0 taxa and 0 samples. samda <- rename_samples(   data_fungi@sam_data,   paste0(\"data_f\", sample_names(data_fungi)) )"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/rename_samples_otu_table.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Rename samples of an otu_table — rename_samples_otu_table","text":"","code":"rename_samples_otu_table(physeq, names_of_samples)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/rename_samples_otu_table.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Rename samples of an otu_table — rename_samples_otu_table","text":"physeq (required): phyloseq-class object obtained using phyloseq package. names_of_samples (required) new names samples","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/rename_samples_otu_table.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Rename samples of an otu_table — rename_samples_otu_table","text":"matrix new colnames (rownames taxa_are_rows true)","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/rename_samples_otu_table.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Rename samples of an otu_table — rename_samples_otu_table","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/rename_samples_otu_table.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Rename samples of an otu_table — rename_samples_otu_table","text":"","code":"rename_samples_otu_table(data_fungi, as.character(seq_along(sample_names(data_fungi)))) #> OTU Table:          [1420 taxa and 185 samples] #>                      taxa are columns #>      ASV2  ASV6  ASV7  ASV8 ASV10 ASV12 ASV13 ASV18 ASV19 ASV22 ASV23 ASV24 #> 1       1     0   767   578     0     0   638    30     0     0     0     0 #> 2      23 26776 10187     9     0     1    20     0     0     0     0     0 #> 3       1     0   263   399     0     0     4     3     0     0     0     0 #> 4     281     0    35   107     0  3186    87    29  2973     0     0     9 #> 5     260     0     0   829     0     0     0  1040     0     0     0     0 #> 6       0     0     0     2     0     0     0     0     0     0     0     1 #> 7       5     0  4215  1341     0     1     0    42     0     0     0     0 #> 8       1     1     0     0     0     0     0     0     0     0     0     0 #> 9       5     0     0     1     0     1     0     0     0     0     0     0 #> 10      5     0     0     3     0     1     0     0     0     0     0     0 #> 11     19     0     0     1  2168     0   108     0     0     0     0     0 #> 12      8     0     0     0    15     0    17     0     1     0     0     0 #> 13      7     0     0     0 14220     0   543     0     0     0     0     0 #> 14      5     0     1     0  1037  1338    46     0     0     0     0     0 #> 15     20     0     0     1   167     0     0     0     0     0     0     0 #> 16      5     0     0     7     0     0   121     0    51     0     0     0 #> 17      3     0     0     2     0     0     2     0     5     0     0     8 #> 18      3     0   539     2     2     0     0     0     4     0     0     0 #> 19      3     0     0     0     0     0     0     0     0     0     0     1 #> 20      7     0     0    36   224     0  1002    44     1     0     0     0 #> 21      5   274   238 11495     0     0   355   111     0     0     0     0 #> 22      0     3     0     0     0     0     0     0     0     0     0     0 #> 23      7     0     0    10     0     1     0     0     0     0     0     0 #> 24      6     0  2884     4   245     0  6337     0     0     0     0     0 #> 25     13     0     0  9741   121     0   142 11963     0     0     0     0 #> 26     11     0     0     0     0     0    18     0     0     0     0     0 #> 27      5     0     0     0    49     0     1     0     0     0     0     0 #> 28     98     0   873   336     0     0     0     7     6     0     0     0 #> 29     39     0  2351    80   269     1   220   630     0     0     0     0 #> 30      0     0     0     0     0     0     0     0     0     0     0     0 #> 31      0     0     0     0     0     0     0     0     8     0     0     0 #> 32      0     0     0     0     0     0     0     0     5     0     0     2 #> 33      0     0     0     0     0     0     0     0     0     0     0     0 #> 34      0     0     0     0     0     0     0     0     0     0     0     0 #> 35      1     0     0     0     0     0     0     0     0     0     0     0 #> 36      3     0     0     1     0     0     0     0     1     0     0   976 #> 37      7     0     0     6    58     6    10     0     0     0     0     0 #> 38      5     0    21     0     0     0     0     0     0     0     0     0 #> 39      0     0     0     0     1     0     0     0     0     0     0     0 #> 40      0     0     0     2     0     0     0     0     0     0     0     0 #> 41      1     0     0     0     0     0     0     0     0     0     0     0 #> 42     10     0   459     5  3269  9519    70     0     0     0     0     0 #> 43      0     0     0     0     0     0     0     0     0     0     0     0 #> 44      3     1     1     1    13     0    14     0     0     0     0   254 #> 45      1     0     0     1     0     0     0     0     1     0     0  3719 #> 46     19  9876     0     1    20     1     0     0     0     0     0     0 #> 47      5     0   994     8 12292     0    41  1845     0     0     0     0 #> 48      8     0     6     6     0     0     5     0     0     0     0     1 #> 49      2     0     0     1     0     0     3     0   642     0     0  4898 #> 50      4     0   880  1102   676     0   313    39     0     0     0     0 #> 51      0     0     0     1     0     0   251     0     0     0     0     0 #> 52   9409     0     0     1   131     0    89     0     0     0     0     0 #> 53      2     0     0     1     0     0     5     0     0     0     0     0 #> 54      7     2     0     0    52     0    23     0     0  3207     0     0 #> 55      9     0     0     4     0     0     0     0     0     0     0     0 #> 56      1     0     0     0     0     0     0     0     5     0     1    17 #> 57     10     0     0     6     1  3896   812  5685     0     0     0     0 #> 58      1     0     0     0     0     0     0     0  1321     0     0    55 #> 59      4  1990     0     0     0    43     2     0     0     0     0     5 #> 60   2719     0     0     3     0  7550    26     0  8062     0     0     0 #> 61   1201     0     0     2    28     0     0     0  1625     1     0     5 #> 62   2844     0     0     0     0     0    35     0  1070     0     0     0 #> 63     12    10    22    15   582     0  1291     0     0     0     0     0 #> 64     11     0  8964  1052     0     0   263    51     0     0     0     0 #> 65     10     0     0     0     0     0     0     0     0     0     0     0 #> 66      2     0     0     0     0     0     0     0     0     0     0     0 #> 67      0     0     0     0     0     0     0     0     0     0     0     0 #> 68      6    14     0     9     0     0     0     0    23     0     0  8701 #> 69      3     0     0     0     0     0     0     0     0     0     0     0 #> 70      3  3818     0     0     0     0     0     0     0     0     0     0 #>     ASV25 ASV26 ASV27 ASV28 ASV29 ASV31 ASV32 ASV33 ASV34 ASV35 ASV38 ASV41 #> 1       0   351     0     1     0     0     0     0     0     0     0     6 #> 2       0     0     0     0     0     0     0     0     0     0     9     0 #> 3       0     0     0     0     0     0     0     0   337     0     0     5 #> 4       0     0     0     0     0     0     0     0    31     0   337    22 #> 5       0     0     0     0     0     0     0     0     0     0     0     0 #> 6       0     0     0     0     0     0     0     0     0     0     0     0 #> 7       0     0     0     0     0     0     0     0     0     0     0     0 #> 8       0     0     0     0     0     0     0     0     0     0     0     0 #> 9       0     0     0     0     0     0     0     0     8     0     0     0 #> 10      0     0     6     0     0     0     0    19     0     0     0     0 #> 11      0     0     0    78     0     0     0     0     0     0     0     1 #> 12      0     0     0     0     0     0     0     0    16     0   437     0 #> 13      0     0     0     0     0     0     0     0     0     0     0     0 #> 14      0     0     0     0     0     0     0     0   643     0    12     0 #> 15      0     0     0     0     2     0     0     0     0     0     0     0 #> 16      0     0     0     1     0     0     0     0  3019     0     0 10572 #> 17      0     0     0     1     0     0     0     0  2437     0    19     0 #> 18      2     0     0     0     1     0     0     0   153     0   273     0 #> 19      0     0     0     0     0     0     0     0   593     0    37     0 #> 20      0     0     0     1     0   444     0     0     0     0     0     0 #> 21      0     0     0     0     0     0     0     0     0     0    30     2 #> 22      0     0     0     0     0     0     0     0     0     0     0     0 #> 23   9899     0     0     0     0     0     0     0     0     0     1     0 #> 24      0     0     0     0     0     0     0     0    47     0    71     0 #> 25      0     0     0     1     0     0     0     0     0     0     0     0 #> 26      0     0     0     0     0     0     0  7918     0     0     0     0 #> 27      0     0     0     0     0     0     0   171     0     0     0     0 #> 28      0     0     0     2     2     0     0     0     0     0     0     0 #> 29      0     0     0     1     0     0     0     0     0     0     0     0 #> 30      0     0     0     0     0     0     0     0     0     0     0     0 #> 31      0     0     0     0     0     0     0     0     0     0     0     0 #> 32      0     0     0     0     0     0     0     0     0     0     0     0 #> 33      0     0     0     4     0     0     0     0     0     0     0     0 #> 34      0     0     0     0     0     0     0     0     1     0     0     0 #> 35      0     0     0     0     0     0     0     0     0     0     0     0 #> 36      0     0     0     0     0     3     0     0     0     0     0     0 #> 37      1     1     0     0     0     0     0     0   949     0   764     0 #> 38     18     0     0     1     0     0   387     0   934     0   680     0 #> 39      0     0     0     0     0     0     0     0     0     0     0     0 #> 40      0     0     0     2     0     0     0     0     0     0     0     0 #> 41      0     0     0     0     0     0     0     0     0     0     0     0 #> 42      0     0     0     0     0     0     0     0     0     0     0     0 #> 43      0     0     0     2     0     0     0     0     0     0     0     0 #> 44      0     0     0     0     0     0     7     0     0     0  2682     0 #> 45      0     0     0     0     0     0     0     0     0     0     0     0 #> 46      0     0     0     0     0     0     0     0    98     0    37     0 #> 47      0     0     0     0     0     0     0     0     0     0    14     0 #> 48      0 14127     0     0     0     0     0     0     0     0     0     0 #> 49      0     0     0     0     0     0     0     0     0     0     0     0 #> 50      0     0     0     2     0     0     0     0   796     0     0     0 #> 51      0     0     0     0     0     0     0     0     0     0    57     0 #> 52      0     0     0     0     0     0     0     0     0     0     6     0 #> 53      1     0     0     0     0     0     0     0     0     0     0     0 #> 54      0     0     0     1     0     0     0     0     1     0     0     0 #> 55      0     0     0     0     0     0 15403     0   411     0   174     0 #> 56      1     0     0  2527     0     0     0     0     0     0     0     0 #> 57      5     0     0     1     0     0     0     0     4     0     0     0 #> 58      0   106     0     0     0     0     0     0     0     0     0     0 #> 59      0     0     0     3     0     0     0     0     0     0     0     0 #> 60      0   485     0     0     0     0     0     0     0     0     3     0 #> 61     66     0     0     0     0     0     0     0   207     0     3     0 #> 62      0     0     0     1     2     0     0     0     0     0     0     0 #> 63      0     0     0     2     0     0     0     0     2     0     0     0 #> 64      1     0     0     0     0     0     0     0     0     0     0     5 #> 65      0     1     0     0    77     0     0     0     0     0     0     0 #> 66      0     0     0     0     0     0     0     0     0     0     0     0 #> 67      0     0     0     0     0     0     0     0     0     0     0     0 #> 68      0    92     0     0    50     0     0     0     0    19     0     0 #> 69      0     0     0     0     0     0     0     0     0     0     0     0 #> 70      0     0     0     0     0     0     0     0     0     0     0     0 #>     ASV42 ASV43 ASV45 ASV46 ASV47 ASV48 ASV49 ASV50 ASV51 ASV52 ASV53 ASV54 #> 1       0     0     0     0     0     0     0     0     0     0     0     0 #> 2       0     0     0     0     0     0     0     0     0     0     0     0 #> 3       0     0     0     0     0     0     0     0     0     0     0     0 #> 4       0     0     0     0     0     0     0     0     0     0     0     0 #> 5       0     0     0     0     0     0     0     0     0     0     0     0 #> 6       3     0     0     0     0     0     0     0     0     0     0     0 #> 7       0     0     0     0     0     0     0     0     0     0     0     0 #> 8       0     0     0     0     0     0     0     0     0     0     0     0 #> 9       0     0   836  1230     0     0     0     0     0     0     0     0 #> 10      0     0     0     0     0     0     0     0     2     0     0     0 #> 11      0     0     0     0     0     0     0     0     2     0     0     0 #> 12      0 11042     0     1     0     0     0     0  1935    84     0     0 #> 13      0     0     0     0     0     0     0     0     0     0     0     0 #> 14      0     0     0     0     0     0     0     0     0     6     0     0 #> 15      0     1     0   589     0     0     0     0    23     0     0     0 #> 16      0     1     0     0     0     0   141     0     0    75     0     0 #> 17      0     0     0  1238     0     0     0     0    58     0     0     0 #> 18      0     0     0     0     0    22     0     0   678     0     0     0 #> 19      0     0     0     0     0     0     0     0     0     0     0     0 #> 20      0    31     0     0   315     0     0     0     0     0     0     0 #> 21      0     0     0     0     0     0     0     0     0     0     0     0 #> 22     46     0     0     0     0     0     0     0     0     0     0     0 #> 23  12194     0     0     0     0     0     0     0     0     0     0     0 #> 24      0     0     0     0     0     0     0     0     0     0     0     0 #> 25      0     0     0     0     0     0     0     0     0   176     0     0 #> 26      0     0     0     0     0     0     0     0     0     0     0     0 #> 27      0     0  9779     0     0     0     0     0     0     2     0     0 #> 28      0     1     0     0     0     0     0     0     0     0     0     0 #> 29      0     2     0     0     0     0     0     0     0     5     0     0 #> 30      0     0     0     0     0     0     0     0     0     0     0     0 #> 31      0     0     0     0     0     0     0     0     0     0     0     0 #> 32      0     0     0     0     0     0     0     0     0     0     0     0 #> 33      0     0     0     0     0     0     0     0     0     0     0     0 #> 34      0     0     0     0     0     0     0     0     0     0     0     0 #> 35      0     0     0     0     0     0     0     0     0     0     0     0 #> 36      0     0     0     0     0     0     0     0     0     0     0     0 #> 37      0     0     0     0     0     0     0     0     1     2     0     0 #> 38      0     0     0     0     0     0     0     0     0     0     0     0 #> 39      0     0     0     0     0     0     0     0     0     0     0     0 #> 40      0     0     0     0     0     0     0     0     0     0     0     0 #> 41      0     0     0     0     0     0     0     0     0     0     0     0 #> 42      0     0     0     0     0     0     0  9288  4385     0     0     0 #> 43      0     0     0     0     0     0     0     0     0     0     0     0 #> 44      0     0     0     0     0     0     0     0    71     0     0     0 #> 45      0     0     0     0     0     0     0     0   569     0     0     0 #> 46      0     0     0     0     0     0     0     0     0     0     0     0 #> 47      0     0     0     0     0     0     0   890     0   221     0     0 #> 48      0     0     0     0     0     0     0     0     0   102     0     0 #> 49      0     0     0     0     0     0     0     0     0     0     0     0 #> 50      0     0     0     0     0     0     0     0     0     6     0     0 #> 51      0     0     0     0     0     0     0     0  1894     0     0     0 #> 52      0     0     0     0     1     0     0     0     0     1     0  9895 #> 53      0     1     0     0     0     0  8927     0     0     0     0     0 #> 54      0     1     0     0     0     0     0     0     0     0     0     0 #> 55      0     0     0     0     0     0     0     0     0     0     0     0 #> 56      0     0     0     0     0     0     0     0     0     0     0     0 #> 57      0     0     0     0     0     0     0     0     0     0     0     0 #> 58      0     0    14     0     0     0     0     0     0     0     0     0 #> 59      0     0     0     0     0     0     0     0     0     0     0     0 #> 60      0     0     1     0     2     0     0     0     0     0     0     0 #> 61      0     4     0     0     0     0     0     0   431     0     0     0 #> 62      0     0     0     0     0     0     0     0     0     0     0     0 #> 63      2     0     0     0     0     0     0     0     0    95     0     0 #> 64      0     0     0     0     0     0     0     0     0     0     0     0 #> 65      0     0     0     0     0     0     0     0     0     0     0     0 #> 66      0     0     0     0     0     0     0     0     0     1     0     0 #> 67      0     0     0     0     0     0     0     0     0     0     0     0 #> 68      0     0     3     0     0     0  1143     0     0     0     1     0 #> 69      0     0     0     0     0     0     0     0     0     0     0     0 #> 70      0     0     0     0     0     0     0     0     0     0     0     0 #>     ASV55 ASV56 ASV57 ASV58 ASV59 ASV60 ASV61 ASV62 ASV63 ASV64 ASV65 ASV67 #> 1       0     0     0     0     0     0     0     0     0     0     0     0 #> 2       0     0     0     0     0     0     0     0     0     0     0     0 #> 3       0     0     0     0     0     0     0     0     0     0     0     0 #> 4       0     0     0     0     0     0     0     0     0     0     0     1 #> 5       0     0     0     0     0     0     0     0     0     0     0     0 #> 6       0     0     0     0     0    21     0     0     0     0     0     0 #> 7       0     0     0     0     0     0     0     0     0   116     0     0 #> 8       0     0     0     0     0     0     0     0     0     0     0     0 #> 9       0    66     0     0     0     0     0   498     0     0  8505     0 #> 10      0     0     0     0     0     0     0     0     0  8187     0     0 #> 11      0    16     0     0     0    53     0     0     0     0     1     0 #> 12     11     0    67     0     0     0     0     0     0     0     0     0 #> 13      0     0    55     0     0     9     0     0     0     0     0     0 #> 14     47     0     0     0     0     0     0     0     0     0     0     0 #> 15      0     0     0     0     0     0     0     0     0     0    18     0 #> 16      0     0     0     0     0     0     0     0     0     0     0     0 #> 17      0     0    36     0     0     0     0     0     0     0     7     0 #> 18      0     0   105     0     0     0     0     0     0     0    15     0 #> 19      0     0    11     0     0     0     0     0     0     0     0     0 #> 20      0     0     0     0  1207     0     0     0     0     0     0     0 #> 21      0     0     0     0     0     3     0     0     0     0     0     0 #> 22      0     0     0     0     0     0     0     0     0     0     0     0 #> 23      0     0     4     0     0     0     0     0     0     0     0     0 #> 24      0    27     1     0     0     0     0     0     4     0     0     0 #> 25      0    42     0     0     0     0     0     0     0     0     0     0 #> 26      0    12     0     0     0    13     0     0     0     0     0     0 #> 27      1   479     0     0     0     1     0     0     0     0     0     0 #> 28      1     0     0     0     0     0     0     0     0     0     1     0 #> 29      3     0     0     0     0     0     0     0     0     0     0     0 #> 30      0     0     0     0     0     0     0     0     0     0     0     0 #> 31      0     0     0     0     0     0     0     0     0     0     0     0 #> 32      0     0     0     0     0     2     0     0     0     0     0     0 #> 33      0     0     0     0     0     4     0     0     0     0     0     0 #> 34      0     0     0     0     0     0     0     0     0     0     0     0 #> 35      0     0     0     0     0     0     0     0     0     0     0     0 #> 36      0     0     0     0     0     4     0     0     0     0     0     0 #> 37      0     1     0     1     0     0  8066     0     0     0     0     0 #> 38      0     0    41     0     0     0     0     0     0     0     0     0 #> 39      0     0     0     0     0     1     0     0     0     0     0     0 #> 40      0     0     0     0     0     0     0     0     0     0     0     0 #> 41      0     0     0     0     0     1     0     0     0     0     0     0 #> 42      0     0    34     0     0     0     0     0     0     0     0     0 #> 43      0     0     0     0     0     8     0     0     0     0     0     0 #> 44      0     0     6     0     0     0     0     0     0     0     0     0 #> 45      0     0     0     0     0     0     0     0     0     0     0     0 #> 46      0     0    29     0  3216     0     0     0     0     0     0     0 #> 47      0     0     0     0     0    11     0     0     0     0     0     0 #> 48      0    13     0     0     1    24     0     0     0     0     0     0 #> 49      9     0    46     0     0     0     0     0     0     0     0     0 #> 50      0     0     0     0     0     4   706     0     0     0     0     0 #> 51      0     0     0     0     0     0     0     0     0     0     0     0 #> 52      0    35     0     0     0     0     0     0     0     0     1     0 #> 53      0  7868     0     0     0     0     0     0     0     0     0     0 #> 54      0    28     5     0     0     8     0     0     0     0     0     0 #> 55      0     0     0     0     0     0     0     0     0     0     0     0 #> 56      0     0     0     0     0    21     0     0     0     0     0     0 #> 57      1     0    66     0     0     0     0     0     0     0   131     1 #> 58      0     0     0     0     0     0     0     0     0     0     0     0 #> 59      0     0     0     0     0     0     0     0     0     0     0     0 #> 60      0     0     0     0     0     0     0     0     0     0     0  6570 #> 61   9306    33     0     0     0     0     0     0     4     0     0     0 #> 62      0     0     0     0     0     0     0     0     0     0     0     0 #> 63      0     0     0     0     0     0     0     0     0     0     0     0 #> 64      0     0     0     0     0     0     0     0     0     0     0     0 #> 65      0     0     0     0     0     0     0     0     0     0     0     0 #> 66      0     0     0     0     0     0     0     0     0     0     0     0 #> 67      0     0     0     0     0     0     0     0     0     0     0     0 #> 68      0     0     0   177     0    45     0     0     0     0     0     0 #> 69      0     0     0     0     0  6993     0     0     0     0     0     0 #> 70      0     0     0     0     0     0     0     0     0     0     0     0 #>     ASV68 ASV69 ASV70 ASV71 ASV72 ASV75 ASV77 ASV78 ASV79 ASV80 ASV81 ASV82 #> 1       0     0     0     0     0     0     0     0     0     0     0     0 #> 2       0     0     0     3     0     0     0     0    12     0     0     0 #> 3       0     0     0     0     0     0     0     0     0     0     0     0 #> 4       0     0     0    58     0     0     0     0     0     0     0     0 #> 5       0     0     0     0     0     0     0     0     0     0     0     0 #> 6       0     2     0     0     0     0     0     0     0     0     0     0 #> 7       0     0     0     0     0     0     0     0     0     0     0     0 #> 8       0     0     0     0     0     0     0     0     0     0     0     0 #> 9       0     0     0     0     0     0     0     0     0     0     0     0 #> 10      0     0     0     0     0     0     0  6005     0     0     0     0 #> 11      0     3     0    52     0     0     0     0     0     0     0     0 #> 12      0     0     0     1     0     0     0     0     0     0     0     0 #> 13      0     0     0     0     0     0     0     0     0     0     0     0 #> 14      0     0     0     0     0     0     0     0     0     0     0     0 #> 15      0     0     0     0     0     0     0     0     0     0     2     0 #> 16      0     0   315   182     0     0     0     0     0     0     0     0 #> 17      0     0     0    18     0     0     0     0     0     0     0     0 #> 18      0    10     0    48     0     0     0     0     0     0     0     0 #> 19      0     0     0     4     0     0     0     0     0     0     0     0 #> 20      0     0     2    53     0     0     0     0     0     0     4     0 #> 21      0     0     0    11     0     0     0     0    16     0     0     0 #> 22      0     0     0     0     0     0     0     0     0     0     0     0 #> 23   8414     0     0     0     0     0  7817     0     0     0     0     0 #> 24      0     4     0  2827   290     0     0     0     0    25     0     0 #> 25      0     0     0     0     0     0     0     0     0     0     0     0 #> 26      0     0     0     0     0     0     0     4     0     0     0     0 #> 27      0     0     0     0     0     0     0     0     0     0     0     0 #> 28      0    97     0     0     0     0     0     0     0     0     8     0 #> 29      0     0     0     1     0     0     0     0     0     0     0     0 #> 30      0     0     0     0     0     0     0     0     0     0     0     0 #> 31      0     0     0     0     0     0     0     0     0     0     0     0 #> 32      0     0     0     0     0     0     0     0     0     0     0     0 #> 33      0     0     0     0     0     0     0     0     0     0     0     0 #> 34      0  2836     0     0     0     0     0     0     0     0     0     0 #> 35      0    38     0     0     0     0     0     0     0     0     0     0 #> 36      0     0     0     0     0     0     0     0     0     0     0     0 #> 37      0     0     0     8     0     0     0     0     3     0     0     0 #> 38      0     0     0     0     0     0     0     0     0     0     0     0 #> 39      0    14     0     0     0     0     0     1     0     0     0     0 #> 40      0     2     0     0     0     0     0     0     0     0     0     0 #> 41      0     0     0     0     0     0     0     0     0     0     0     0 #> 42      0     1     0     7     0     0     0     0     0    45    74     0 #> 43      0     0     0     0     0     0     0     0     0     0     0     0 #> 44      0     0     0    19     0     0     0     0     0     0     0     0 #> 45      0     0     0     0     0     0     0     0     0     0     0     0 #> 46      0     0     0     0     0     0     0     0     0     0     0     0 #> 47      0     0     0    49     0     0     0     0     0     0     0     0 #> 48      0     0     0     0     0     0     0     0     0     0     0     0 #> 49      0     0     0     0     0     0     0     0     0     0     0     0 #> 50      0     0     0  1145     0     0     0     0     0     0     0     0 #> 51      0     0     0     0     0     0     0     0     0     0     0     0 #> 52      0     0     0     0     0     0     0     0     0     0     0     0 #> 53      0     0     0     0     0     0     0     0     0     4    37     0 #> 54      0     0     0    75     0     0     0     0     0  5961  7341     0 #> 55      0     0     0     0     0     0     0     0     0     0     0     0 #> 56      0     0     0     0     0     0     0     7     0     0     0     0 #> 57      0     0     0   459     0     0     0     0     0     0     0     0 #> 58      0     0     0     0     0     3     0     0     0     0     0     0 #> 59      0     0     0     0     0     0     0     0     0     0     0     0 #> 60      0     0     0   322     0     0     0     0     0     0     0     0 #> 61      0     0     0    16   308     0     0     0     0     5     3     0 #> 62      0     0     0    19     0     0     0     0     0     0     0     2 #> 63      0     0     0   271     0     0     0     1     0     4     3     0 #> 64      0     1     0     0     0     0     0     0     0     0     0     0 #> 65      0     0     0     0     0     0     0     0     0     0     0     0 #> 66      0     2     0     0     0     0     0     0     1     0     0     0 #> 67      0     0     0     0     0     0     0     0     0     0     0     0 #> 68      0     0     0     0     0     0     0     0     0     0     0     0 #> 69      0     0     0     0     0     0     0     0     0     0     0     0 #> 70      0     0     0     0     0     0     0     0     0     0     0     0 #>     ASV83 ASV84 ASV85 ASV87 ASV89 ASV90 ASV91 ASV92 ASV93 ASV94 ASV95 ASV96 #> 1       0  7302     0     0     0     0     0     0     0   153     0     0 #> 2       1     0     0     0     0     0     0     0     0     0     0     0 #> 3      84     0     0     0     0     0     0     0     0    43     0     0 #> 4       0     0    55     0     0     0     0     0     0     8     0     4 #> 5       0     0     0     0     0     0     0     0     0     0     0    75 #> 6       0     0     0     0     0     0    12     0     0     0     0     2 #> 7       0     0     0     0  1179     0     0     0     0   474     0     0 #> 8       0     0     0     0     0     0     0     0     0     0     0     0 #> 9       0     0     0     0     0     0     0     0     0     0     0     0 #> 10      0     0     0     0     0     0     0     0     0     0     0     0 #> 11      0     0     0     0   144     0     0     0     0     0     0   269 #> 12      0     0     0     1     0     0     0     0     0     0     0     0 #> 13     50     0     0     0    91     0     0     0     0     0     0     0 #> 14      1     0     0     0     0    50     0     0     0     0     0     0 #> 15      0     0     0     0     8     0     0     0     0     0     0     1 #> 16      0     0     0     0     0     0     0     0     0     0     0     0 #> 17      0     0    19     0     0     0     1     0     0     0     0     0 #> 18      0     0     0     0     0     0     0     0     1     0     1    28 #> 19      0     0   297     0     0     0     0     0     0     0     0     0 #> 20      0     0     0     0     7     0     0     0     0     0     0     0 #> 21      3     0     0     0     0     0     0     0     0   169     0     0 #> 22      0     0     0     0     0     0   187     0     0     0     0     0 #> 23      0     0     0     1     0     1     0     0     0     0     0     2 #> 24     45     0     0     0    12     6     0     0     0     0     0     0 #> 25    157     0     0     0     0     0     0     0     0     0    10    42 #> 26      0     0     0     0     5     0     0     0     0     0     0    36 #> 27      0     0     0     0     7     0     0     0     0     0     3   992 #> 28      0     0     0     0     0     0     0     0     0    68     3    94 #> 29    152     0     0     2     0     0     0     0     0   374     1     0 #> 30      0     0     0     0     0     0     0     0     0     0     0     2 #> 31      0     0     0     0     0     0     0     0     0     0     0     0 #> 32      0     0     0     0     0     0     0     0     0     0     0     0 #> 33      0     0     0     0     0     0     0     0     0     0     0     0 #> 34      0     0     0     0     0     0     0     0     0     0     1     0 #> 35      0     0     0     0     0     0     0     0     0     0     0    66 #> 36      0     0     0     0     0     1     0     0     0     0     0     0 #> 37      0     0  6715     0     4     0     0     0     0     0   199     0 #> 38      0     0     0    87     0     0     0     0     0     0     0     0 #> 39      0     0     0     0     0     0     0     0     0     0     0    18 #> 40      0     0     0     0     0     0     0     0     0     0     0     0 #> 41      0     0     0     0     0     0     0     0     0     0     0     0 #> 42      1     0     0     0     0     0     0     0     0     0     3    12 #> 43      0     0     0     0     0     0     0     0     0     0     0     0 #> 44     21     0     0     0     0    14     0     0     0     0     0     0 #> 45      0     0     0     0     0     0     0     0     0     0     0     0 #> 46      0     0     0   385     0     7     0     0     0     0     0     0 #> 47      0     0     0     0     0     0     0     0     0   461     0     0 #> 48   1462     0     0     0     0     0     0     0     0     0     0    25 #> 49      0     0     0     0     0     1     0     0     0     0     0    14 #> 50   1360     0     0     0     1     0     0     0     0   225     3    17 #> 51      0     0     0     0     0     0     0     0     0     0     0     0 #> 52      0     0     0     0    18     0     0     0     0     0     9     2 #> 53      0     0     0     0     0     0     0     0     0     0     0     0 #> 54    363     0     0     0     0    59     0     0     0     0    97    76 #> 55      0     0     0  3144     0     0     0     0     0     0     0     0 #> 56      0     0     0     0     0     0     0     0     0     0  1337     9 #> 57      0     0     0  1496     0    28     0     0     0     0     1     1 #> 58      0     0     0     0     0     0     0     0     0     0     0     0 #> 59      0     0     0     0     0   133     0     0     0     0   149     0 #> 60      0     0     0     0     0     0     0     0     0     0     0     0 #> 61      0     0     0     0   702   230     0     0     0     0     1     8 #> 62      0     0     0     0     0     7     0     0     0     0     0     0 #> 63     70     0     0     0     0     9     0     0     0     2     0     0 #> 64      0     0     0     0     0     0     0     0  5885   862     2     0 #> 65      0     0     4     0     0     0     0     0     0     0     0    14 #> 66      0     0     0     0     0     0     0     0     0     0     0     0 #> 67      0     0     0     0     0     0     0     0     0     0     0     0 #> 68      0     0     0     0     0     0     0     0     0     0     0   168 #> 69      0     0     0     0     0     0     0     0     0     0     0     0 #> 70      0     0     0     0     0     0     0     0     0     0     0     0 #>     ASV98 ASV99 ASV100 ASV101 ASV103 ASV104 ASV105 ASV106 ASV107 ASV108 ASV109 #> 1       0     0      0      0      0      0      0      0      0      0      0 #> 2       0     0      0      0      0      0      0      0      0      0      0 #> 3       0     0      0      0      0      0      0      0      0      0      0 #> 4       0     0      0      0      0      0      0      0      0      0     36 #> 5       0     0      0      0      0      0      0      0      0      0      0 #> 6       0     0      0      0      0      0      0      0      0      0      0 #> 7       0     0      0      0      0      0      0     11      0      0      0 #> 8       0     0      0      0      0      0      0      0      0      0      0 #> 9       0     0      0      0      0      0     68      0      0      0      0 #> 10      0     0      0      0      0      0      0      0     50      0      0 #> 11      1     0      0      0      0      0      0      0      0      0      0 #> 12      0     0      0      0      0      0      0      0      0      0     16 #> 13      0     0      0   4669      0      0      0      0      0      0     81 #> 14     26     0      0      0      0      0      0      0   1632      0   1490 #> 15      0     0      0      0      0      0      0      0      0      0      0 #> 16      0     0      0      0      0      0      0      0      0      0      0 #> 17      0     0      0      0      0      3      0      0      0      0      0 #> 18     12     0      0      0      0      0      0      0      0      0      0 #> 19      0     0      0      0      0      0      0      0      0      0      0 #> 20      0     0      0      0      0      0      0      0      0      0      0 #> 21      0     0      0      0      0      0      0      0      0      0    169 #> 22      0     0      0      0      0      0      0      0      0      0      0 #> 23      0     0      0      0      7      0      0      0      0      0      0 #> 24      0     0      0      0      0      0      0      0      0      0    682 #> 25      0     0      0      0      0      0      0     25      0      0      0 #> 26      0     0      0      0      0      0      0      0      0      0      0 #> 27      0     0      0      0      0      0      0      0      0      0      0 #> 28      0     0      0      0      0      0      0      0      0      0      0 #> 29      0     0      0      0      1      0      0      0      0      0      0 #> 30      0     0      0      0      0      0      0      0      0      0      0 #> 31      0     0      0      0      0      0      0      0      0      0      0 #> 32      0     0      0      0      0      0      0      0      0      0      0 #> 33      0     0      0      0      0      0      0      0      0      0      0 #> 34      0     0      0      0      0      0      0      0      0      0      0 #> 35      0     0      0      0      0      0      0      0      0      0      0 #> 36      0     0      0      0      0      0      0      0      0      0      0 #> 37      0     0      0      0      0      0      0      0      0      0      0 #> 38      0     0      0      0      0      0      0      0      0      0     37 #> 39      0     0      0      0      0      0      0      0      0      0      0 #> 40      0     0      0      0      0      0      0      0      0      0      0 #> 41      0     0      0      0      0      0      0      0      0      0      0 #> 42      0     0      0      0      0      0      0      0      0      0      2 #> 43      0     0      0      0      0      0      0      0      0      0      0 #> 44      0     0      0    646      0      0      0      0      0      0      0 #> 45      0     0      0      0      0      0      0      0      0      0      0 #> 46      0     0      0      0      0      0      0      0      0      0      0 #> 47      0     0      0      7      0      0      0      0      0      0      0 #> 48      0     0      0      0      0      0      0      0      0      0     13 #> 49      0     0      0      0      0      0      0      0      0      0      0 #> 50      0     0      0      0      0      0      0      0      0      0    369 #> 51      0     0      0      0      0      0      0      0      0      0      0 #> 52      0     0      0      0      0      0      1   5043      0      0      0 #> 53      0     0      0      0      0      0      0      0      0      0      0 #> 54      0     0      0      0      0      0      1      0      0      0      9 #> 55      0     0      0      0      0      0      0      0      0      0      0 #> 56      0     0      0      0      0      0      0      0      0      0      0 #> 57      0     0      0      0      0      0      0      0      0      0    610 #> 58      0     0      0      0      0      0      0      0      0      0      0 #> 59      0     0      0      0      0      0      0      0      0      0      0 #> 60      0     0      0      0      0      0      0      0      2      0      0 #> 61      1     0      0      0      0      0      0      1      0      0      0 #> 62      0     0      0      0      0      0      0      0      0      0      0 #> 63      0     0      0      0      0      0      0      1      0      0      0 #> 64      0     0      0      0      0      0      0     26      0      0      0 #> 65      0     0      0      0      0      0      0      0      0      0      0 #> 66      0     0      0      0      0      0      0      0      0      0      0 #> 67      0     0      0      0      0      0      0      0      0      0      0 #> 68      0     0      0      0      0      0      0      0      0      0      1 #> 69      0     0      0      0      0      0      0      0      0      0      0 #> 70      0     0      0      0      0      0      0      0      0      0      0 #>     ASV111 ASV112 ASV113 ASV115 ASV116 ASV118 ASV119 ASV120 ASV121 ASV122 #> 1        0      0      0      1      0      1      0     95      0      0 #> 2        7      0      4      0      1      0      0      0      0      0 #> 3        0      0      0      0      0      0      0     28      0      0 #> 4        0      2      0     16      0      0      0      7     53      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      4      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0    364      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0     14      0      0      0      0      0      0      0 #> 11       0      0     83      0      0      3      0      0      0      0 #> 12       0      6      0      9      0      0      0      0      0      0 #> 13       0      9      0      0      0      0      0      0      8      0 #> 14       0      3      0      0      0      0      0      0    508      0 #> 15       0      0      2      0      0      0      0      0      0      0 #> 16       0     41      0    201      0      0      0      0      0      0 #> 17      37      0      0   1019      0      0      0      0      0      0 #> 18       0      2     11   1417      0      0      0      0      0      0 #> 19       0      0      0    423      0      0      0      0      0      0 #> 20       0      5      0      4      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0    101    167      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      1      0      0      0      0      0      0 #> 24       0     14      0      0      0      0      1      0    128      0 #> 25       0      0     52      0      0      0   4556      0     14      0 #> 26       0      0      0      0      0      8      0      0      0      0 #> 27       0      0    504      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0     69      0      0 #> 29       0      3      0     96      1      0      0    267    487      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0     21      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0   1141      0      0      0      0      0 #> 37       0     28      0     45      0      0      0      0      4      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0     13      0      0      0      0      0      1      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0    139      0      0      0      0      0      0 #> 47       0     20      0      0      0      0      0    258     83      0 #> 48       0      6      0      0      0      0      0      0   1431      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0    408      0     19      0      0      1    141   1011      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      2      0      5      1      0      0      0      0      0 #> 53       0      0      1      0      2      0      0      0      0      0 #> 54       0      6   2504      4      0      0      0      0     10      0 #> 55    4837      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0   1134      0      0      0      0      0 #> 57       0     50      0     11      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      2      0      0      0      0 #> 60       0      0      0      0      0      0      0      0     21      0 #> 61       0      2      2      0      0      0      0      0      0      0 #> 62       0   2517      0     53      0      0      0      0      0      0 #> 63       0     22      8     21      0      0      2      4     37      0 #> 64       0      0      1      0      0      0      0    976      0      0 #> 65       0      0      0      0      0     20      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV124 ASV126 ASV127 ASV128 ASV129 ASV130 ASV131 ASV132 ASV133 ASV135 #> 1        0      2      0    130      0      0      0      0      0      0 #> 2        0      0      0      0      0      6      0      0      0      0 #> 3        0      0      0     36      0     75      0      0      0      0 #> 4        0      7      0      9      0     49      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0    353      0      0      0     35      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      1 #> 11       0      1      0      0      0      0      0     22      0      0 #> 12       0     24      0      0      0      0      0      0      0      0 #> 13       0      1      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0     62      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0    235      0      0      0 #> 18       0      0      0      0      0      0   2751      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      7      0      0      0      0      0      7      0      0 #> 21       0      6      0    317      0      0      0      2      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       1      0      0      0      0      0      0      0      0      0 #> 24       0   2065      0      0      0   2385      0      4      0      0 #> 25       0      0      0      0      0      0      0    116      0      0 #> 26       0      0      0      0      0      0      0     12   3949      0 #> 27       0      0      0      0      0      0      0    551      0      0 #> 28       0      0      0     51      0      0      0      0      0      0 #> 29       0      0      0      0      0    181      0      0      0      0 #> 30       0      0      0      0      2      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0    122      0      0      0      0      0 #> 34       0      0      0      0      7      0      0      0     74      0 #> 35       0      0      0      0      0      0      0      0     21      0 #> 36       0      0      0      0      6      0      0      0      0      0 #> 37       0      0      0      0   1696     25    877      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0    127      0      0      0      0      0 #> 42       6     18      0      0      2      1      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0    199      0      0      0      0 #> 47       0     13      0      0      0    342      0      0      0      0 #> 48       0      0      0      0      0     50      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0    167      0    186      0     83      0      6      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      0      0      3      0      0 #> 53       0      0      0      0      0      0      0      7      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      8      0      0 #> 57       0    226      0      0      0    658      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      0      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0     12      0      2      0      0      0      0      0      0 #> 64       0      0      0    560      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      5 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV136 ASV137 ASV138 ASV139 ASV142 ASV143 ASV144 ASV145 ASV146 ASV147 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0   3242      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      0      0 #> 12       0      0      0    141      0      0      0      0      0      0 #> 13       0      6      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0    672      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0     26      0      0      0      0      0      0 #> 17       0      0    652      0      0      0      0      0      7      0 #> 18       0      0      0      0      0      0   2924      0      0      0 #> 19       0      0      0      0      0      0      0      0     53      0 #> 20       0      0      0   1889      0      0      0      0      0      0 #> 21       0      0      0     13      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      5      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0     11      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0     10 #> 37       0      0      0      0      0      0      0      0      0      0 #> 38       0     12      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       3      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      2      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0     49      0 #> 45    1764      0      0      0      0      0      0      0      0      0 #> 46       0    129      0      0      0      0      0      0    858      0 #> 47       0      0      0      8      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      9      0     14      0      0      0      0      0      0 #> 50       1      0      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      5      0     45      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      1      0      0      0      0 #> 57       0     25      0      0      0      0      0      0    760      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0     31      0      0      0      0      0      0      0      0 #> 61       0      5      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      3      0      0      0      0      0      0 #> 64       0      0      0     18      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0    248      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0    743      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV148 ASV149 ASV150 ASV151 ASV152 ASV153 ASV154 ASV157 ASV158 ASV159 #> 1        0      0      0      0      0      0      0      0     48      0 #> 2        0    151      0      0      0      0      0      0      0      0 #> 3        0     37      0      0      0      0      0      0     11      0 #> 4        0     11      0      0      0      0      4      0     10      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0    224      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0     13      0      0      0      0      0      0 #> 10       0      0      0      0      0      1      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      0      0 #> 12       0      0      0      1      0      0      0      0      0     32 #> 13       0      2      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0     14 #> 15       0      0      0      1      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0    114 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      1      0      0      0      0      6      0      1      0 #> 21       0      9      0      0      0      0      8      0     95      0 #> 22       0      0      0      0      0      0      0      7      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0     11      0      0      0 #> 25       0      0      0      0      0      0      2   2826      0    259 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      1      0      0     37      0 #> 29       0      0      0      0      0      0     81      0    386      7 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0    126      0      0      0      0 #> 37       0      2      0      0      0      0      0      0      0      6 #> 38       0      1      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      1      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      5      0     19      0      0      0      0 #> 47       0      0      0      0      0      0    301      0    472    265 #> 48       0      0      0      0      0      0      0      0      0    119 #> 49       0      0      0      0      0   3119      0      0      0      0 #> 50       0    541      0      0      0      0    175      0     95     11 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      0      0      0      0      0 #> 53       0      0      0     65      0      0      0      0      0      0 #> 54       0     15      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0     41      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      0      0    281      0      0      0      0      0      0 #> 62       0    370      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0      1      0      1    107 #> 64       0   1767      0      2      0      0      0      0    437      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      1 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      3      0      0      1      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV162 ASV163 ASV164 ASV166 ASV167 ASV168 ASV170 ASV171 ASV172 ASV173 #> 1        0      0      0    270      0      0    104      0      0      0 #> 2        0      0      0     68     79      0      0      0      0      0 #> 3        0      0      0      0      0      0     22      0      0     33 #> 4        0      0      0     48    201      0      4      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0     11      0      0      0      0      0      0      0 #> 7        0      0     17     32      0      0    218      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        2      0      0      0      0      0      0      0      0     63 #> 10       0      0      0      0      0   2877      0      0      0      0 #> 11       0      3      4     34      0      0      0      0      0      0 #> 12       0      0      0     90     11      0      0      0      0      8 #> 13       0      0      0     53      0      0      2      0      3      0 #> 14       0      0      0    164    171      0      0      0     21      0 #> 15     985      0      0     24      0      0      0      0      5      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17    2068      0      0      3      0      0      0      1      0      0 #> 18       0      0      0     35      0      0      0      0      0      0 #> 19       0      0      0      0     30      0      0      0      0      0 #> 20       0      0      2      4      0      0      0      0    255      0 #> 21       0      0      7     12      0      0    269      0      0      0 #> 22       0      0      0      0      0      0      0      0      3      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0     98      0      0      0      0      0      0 #> 25       0      0      0      0      0      0      0      0     10      0 #> 26       0      0     32      0      0      0      0      0    145      0 #> 27       0      0     14      0      0      0      0      0    462      0 #> 28       0      0     48      0      0      0     47      0    393      0 #> 29       0      1      0      1      5      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      4      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0    797      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      2      0      0      0      2      0 #> 37       0      0      0      3      4      0      0      0      0      0 #> 38       0      0      0      0      0      0      0     55      0      0 #> 39       0      0      2      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      8      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      4      0      0      0      0      0      9 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0     16      0      0      0      0      0 #> 47       0      0      0      4      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      4     21      0      0      0      0      0 #> 50       0      0      0      0      0      0    141      0      0    322 #> 51       0      0      0      0      0      0      0      0      3      0 #> 52       0      0      0      4      0      0      0      0      2      0 #> 53       0      0      0      0      0      0      0      0    236      0 #> 54       0      0      0      5      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      2      0      0      0      0      0    308      0 #> 57       0      0      0     24     81      0      0      0      0      0 #> 58       0      0      0    493      0      0      0      0      0      0 #> 59       0      0      1      1      0      0      0    441     35      0 #> 60       0      0      0     61      0      0      0      0     19     10 #> 61       0      0      0      1      0      0      0      9      5   2353 #> 62       0      0      0      0      6      0      0      0      7      0 #> 63       0      0      0     25      0      0      2      0      0      0 #> 64       0      0      0      0      9      0    260      0      3      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0     86      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      2      0      0 #> 68       0      0      0     11      0      0      1      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV175 ASV176 ASV178 ASV179 ASV181 ASV182 ASV183 ASV186 ASV187 ASV189 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      1      0    128 #> 3        0      0      0      0      0      0      0     16      0     11 #> 4        0      0    292      0      0      0      0      0      1      2 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      3      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9     1295      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      3      0 #> 12      73      0      0      0      1      0      0      0      5      0 #> 13       0      0      0      0      3      0      0     28      3      1 #> 14       0      0      0      0     12      0      0      0     21      0 #> 15     165      0      0      0      0      0      0      0      0      0 #> 16       0      0     10      0      0      0      0      0      8      0 #> 17     383      0      4      0      0      0      0      0      1      0 #> 18      15      0      2      0      0      0      0      0      0      0 #> 19       2      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0   2175      0      0      0    106      0 #> 21       0      0      0      0      0      0      0      0      1      4 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      1      1      0      0      0 #> 24       0      0      0      0      0     10      0     24     24      0 #> 25       0      0      0      0     12      0      0     76    868      0 #> 26       0      0      0      0      0      0      0      0      5      0 #> 27       0      0      1      0      0      0      0      0      7      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0     67      0      2 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      1      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0    238      4 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0     39      0      1     24      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44      42      0      0      0      0      0      0      7      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       7      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      5      0      0      0      0      0 #> 48       0      0      0      0     54      0      0    465      2      0 #> 49       0      0     57      0      0      0      0      0      0      0 #> 50       0      0      0      0      5      0      0    423     12    310 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       8      0      0      0      0      0      0      0     78      0 #> 53       0      0      0      0      0      0      0      0    175      0 #> 54       0      0      0      0      0   1617      0    110      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      2      0      0      0      0      0      0      0 #> 57      12      0      0      0      0      0      1      0      0      0 #> 58       0      0     67      0      0      0      0      0      0      0 #> 59       0      3      0      0      0      0      0      0      0      0 #> 60       0      0   1215      0      0      0      0      0     10      0 #> 61       0      1    465      0      0      5      0      0      3      0 #> 62       0      0    221      0      0      0      0      0      3    209 #> 63       0   2409      0      0      0      2      0     22      1      0 #> 64       0      0      0      0      0      0      1      0    215   1485 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      1      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV190 ASV192 ASV193 ASV194 ASV195 ASV196 ASV197 ASV198 ASV199 ASV201 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      1      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      1      0      0      0      0      0     12      0 #> 12       0      0      0      0      0      0      0      0      0   1784 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      1 #> 16       0      0      0      0      0      0      0      0      1      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      5      0      0      0 #> 19       0      0      0      0      2      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      6 #> 21       0      0      0      0      0      0      0    260      0      0 #> 22       0      0      0    691      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      1 #> 24       0      0      0      0      0      0      0      0      0      0 #> 25       0      0      0      3      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0     21      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0   1861      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      2      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0    254      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      3      9      1      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      2      0      0      0      0      0      0      0      0 #> 53       0      0      0      0      0      0   2277      0      0      0 #> 54       0      0      0      0      0      0      0      0     20      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0     13      0      0      0      0      0      0      0      1 #> 57       0      0      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      1      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      0      0      0      0      0      3      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0      0      0      0      0 #> 64       0      0      1      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0   2122      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      6      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV202 ASV203 ASV205 ASV207 ASV208 ASV209 ASV210 ASV211 ASV212 ASV214 #> 1        0      0      0      0      0     52      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0    195 #> 3        0      0      0      0      0     13      0      0      0      9 #> 4     2283      0      0      0      0      2      0      0      0      8 #> 5        0      0      0      0      0      0      4      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0    197      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0     33      0      0 #> 10       0      3      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      7      0      0 #> 12       5      0      0      0      0      0      0      3      0      0 #> 13       0      0      0      0      0      0      0      0      0      4 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      1      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      4      0      2 #> 21       0      0      0      0      0    135      0      0      0      7 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0     11      0      0 #> 28       0      0      0      0    400     27      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0   2072      5 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      2      0      0 #> 43       0      0      0      0      0      0      2      0      0      0 #> 44       0      0      0   2186      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      4      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0    112      0      0      0    302 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      0      0      6      0      1 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      1      0      2 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      0      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0    215 #> 63       0      0      0      0      0      1      0      1      0      0 #> 64       0      0      0      0      0    283      0      0      0    763 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0    140      0      0      0      0      9      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV215 ASV216 ASV217 ASV219 ASV221 ASV222 ASV223 ASV224 ASV226 ASV227 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0     18      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0     39      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0   1961      0      0      0      0     56      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      6      0   1927      0      0      0      0      0 #> 12       0      5      1      0      0      0      0      0      0      0 #> 13       0      4      0      0      0      0      0      0      0      0 #> 14       0    803      4      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0    545      0      0      0      0      0      0      0      0 #> 17       0      0      0      1      0      0      0      0   1408      0 #> 18       0      0      0      1      0      0    298      0      0      0 #> 19       0      0      0      0      0      0      2      0      0      0 #> 20       0      0    140      0      0      0      0      0      0      0 #> 21       0      0     31      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0     71      0      0      0      0      0      0      0 #> 25       0      0    386      0      0      5      0      0      0      0 #> 26       0      0      2      0      0      0      0      0      0      0 #> 27       0      0      2      0      0      0      0      0      0      6 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0     15      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0     36 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      9    225      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      1     87      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0     13 #> 44       0    117      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0   1883      0      0      0      0 #> 46       0      8      0      0      0      0      0      0      0      0 #> 47       0      6      0      0      0      0      0      0      0      0 #> 48       0     37      1      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      3      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      4     31      0      0      0      2    312      0      0 #> 53       0      0     19      0      0      0      0      0      0      0 #> 54       0     13      0      0      0      0     24      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57    2023      1      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      1      0      0      0     61      0      0      0 #> 60       0      0      2      0      0      0      0      0      0      0 #> 61       0      0      1      0      0      0    633      0      0     24 #> 62       0      0      0      0      0      0     67      0      0   1684 #> 63       0      0      0      0      0      0      0      0      0     59 #> 64       0      0     28      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      1      0      0      0      0      3 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV228 ASV229 ASV230 ASV231 ASV233 ASV234 ASV235 ASV237 ASV238 ASV239 #> 1        0      0      0      0      0      7      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      5      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      7      0      2      0      2 #> 12       0      2      0      0      0     16      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      1      0     15      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16     242      0      0      0      0      5      0      0      0      0 #> 17       0      0      0      0      2      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      6      0      0 #> 19       0      0      0      0     30      0      0      0      0      0 #> 20       0      0      0      0      0    252      0      0      0      0 #> 21       0      0      0      0      0      1   1741      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0     50      0      0      0      0 #> 25       0      0      0      0      0      3      8      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      1      4      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      0      0 #> 38       0      0      0     94      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      1      0      0      0     17 #> 43       0      0      0      0      0      0      0      0      6      0 #> 44       0      0      0      8    144      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0    471      0      0      0      0      0 #> 47       0      0      0      0      0      0      3      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      7      0      0      0      0 #> 52       0      0      0      0      0      2      3      0      0     12 #> 53       0      0      0      0      0      0      0    238      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0   1145      0      0      0      0      0      0 #> 56       0      0   1839      0      0      0      0      0      0      0 #> 57       0      0      0      0    679      4      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      0      0      0      0      0      0      1      9      0 #> 62       0      0      0      0      0      0      0      0   1666      0 #> 63       0      0      0      0      0     24      1      0     11      0 #> 64       0      0      0      0      0      3      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV240 ASV242 ASV243 ASV244 ASV245 ASV246 ASV247 ASV248 ASV249 ASV251 #> 1        0      0      0      0      0      0      0      0      0      3 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0    622 #> 4        0      0      0      0      0      0      0      9      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0   1692      0      0      0      0      0      0      0      0 #> 9       47      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      2      0 #> 11       0      0      0      0      0      0      0      0      0      0 #> 12       0      0      0     13     39      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0     31      0      0      0      1      0    379 #> 17       2      0      0      0      5      0      0      0      0      0 #> 18      18      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0   1626      0      0      0      0      0 #> 20       0      0      0    577      0      0      0      0      0      0 #> 21       0      0      0     11      0      0   1288     32      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       1      0      0      0      0      0      0    420      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26     146      0      0      0      0    139      0      0      0      0 #> 27       0      0      0      2      0    317      0      0      0      0 #> 28       0      0   1574      0      0      0      0      0      0      0 #> 29       0      0      2      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      2      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      3      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      4      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      3      0      0      0     19      0      0 #> 48       0      0     44      0      0      0      0      0      0      0 #> 49       0      0      0      8      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0    849      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      3      0      0      1      2      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       2      0      0      0      0      0      0     13      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0     46      0      0      0      0 #> 57       0      0      0      0      0      0      0      1      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0     48      0      1      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61    1188      0      0      0      0      1      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      1      0      0      0    274      0      0 #> 64       0      0      0     16      0      0      0      0      0    547 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV253 ASV254 ASV255 ASV256 ASV257 ASV258 ASV260 ASV261 ASV262 ASV263 #> 1        0      0      0      0      0      0      0     25      0      7 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      3      0      8 #> 4        0      0      0      0      0      0      0      3      6     11 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0     71      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0     25      0      0      0      0      5      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      6      2 #> 12       0    168      0      0      0      0      0      0      4      1 #> 13       0      0      0      0      0      0      0      0      0     20 #> 14       0      0      0      0      0      0      0      0     23     22 #> 15       0      0      2    140      0      0      0      0      0      0 #> 16       0      0     12      0      0      0      0      0     25      0 #> 17    1594      0      0      9      0      0      0      0      6      0 #> 18       0      0      0    971      0      0      5      0     11      0 #> 19       0      0      3      0      0      0      0      0      4      1 #> 20       0      0      0      3      0      0      0      0      0     16 #> 21       0      0      0      0      0      0      0     94      0     48 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0    537 #> 25       0      0      0      0      0      0      7      1      0     24 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      1      0      0      1 #> 28       0      0      0      0      0      0      0     18      0      0 #> 29       0    178      0      0      0      0      0     68      0     66 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0     37      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      6      0      0      0 #> 37       0      0   1093      1      0      0     18      0   1253      0 #> 38       0      0     20      0     32      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      1      0      0      6 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0   1242      0      0      0      0      0      0      0      4 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0     18      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0    134      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0     45      0    138 #> 51       0      0      0      0      0     45      0      0      0      0 #> 52       0      0      1      0      0      0      1      0      0      4 #> 53       0      0      1     11      0      0      2      0      0      2 #> 54       0      0      0      0      0      0     42      0      1      1 #> 55       0      0    302      0   1496      0      0      0      0      0 #> 56       0      0      0      0      0      0     73      0      0      0 #> 57       0      0     55     28      0      0      1      2      4    135 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      1      0      0      7      0      3      0 #> 60       0      0      0      1      0      0      0      0     20      1 #> 61       0      0      1      1      0      0      0      0      3      0 #> 62       0      0      0      0      0      0      0      0      0      5 #> 63       0      0      0      0      0      0      0      0      0     74 #> 64       0      0      0      0      0      0      0    142      5      4 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV264 ASV265 ASV266 ASV267 ASV270 ASV271 ASV272 ASV273 ASV274 ASV277 #> 1        0      0      0      1      0      0      0      0      0      1 #> 2        0      0      0      3      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      1      0      0      0      0      0      0      2 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      1      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      1      0      0      0      0      3 #> 11       0      0      1      0      0      0      0    185      0     16 #> 12       0      0      0      0      0      0      0      0      0      7 #> 13       0     17      0      0      0      0      0      0      0      6 #> 14       0      0      0      0      0      0      0      0      0      1 #> 15       0      0      0      0      0      0      2      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      3      0      0      0      0      0      0      0 #> 18    1013      0      0      0      0      0      0      0      0      4 #> 19       0      0      1      0      0      0      0      0      0      0 #> 20       0     23      0      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0      0   1396      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      5      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0     19      0      0      0      0      0      0      0      0 #> 29       0     24      0      1      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0    147      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      0      3 #> 38       0      0      0      0      0      0      0      0      0     37 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0     12      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      2      0      0      0      0     71      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0     56      0      0      0      0      0      0     29 #> 45       0      0    105      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0     47      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0    463      0      0      5      0      0      0      0 #> 50       0      7      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       1      0      0      0      0      0      0      0      0      0 #> 53       0      0      0      0      0   1326     22      0      0      0 #> 54       0      0      0      0      0      0   1324      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       1      0      2      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0      0      0      0 #> 58       0      0      2      0      0      0      0      0      0    120 #> 59      32      0      1      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       4      0      2      0      0      0      3      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0      0      0      0      3 #> 64       0      0      0   1450      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0    268      0      0      0      0    906      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV278 ASV279 ASV280 ASV282 ASV283 ASV284 ASV285 ASV286 ASV287 ASV288 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      2      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9     1080      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      2      0      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      7      0 #> 14       0      0      0      0      0      0      0      0      9      0 #> 15       0      0      0      0      0      0      0      1      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17     143      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      2      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0    923      0 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0      0 #> 25       0      0      0      0      9      0      0      0     20      0 #> 26       0   1357      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0     18      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0     37      0      0      0      0      0      0      0      0 #> 35       0      5      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0    379      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0   1335 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      5      0 #> 48       0      0      0      0      0      0      0      0     53      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0      0      8      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      2   1325      0      0      2      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      0      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0      0      0      0      0 #> 64       0      0      0      0      5      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0   1336      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV292 ASV293 ASV294 ASV295 ASV297 ASV298 ASV300 ASV302 ASV305 ASV307 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0   1172 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      1      0      0      0      0      0 #> 11       1      0      0      0     13      0      2      1      0      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14      44      0      0      0      0      0      0      9      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18      10      0      0      0      0      0      0      4      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0     20      0      0      0      0      0      0 #> 25       0      0      0     43      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      5      3      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0     33      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      4      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      1      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      6      0      0      0      0      0      0 #> 47       0      0      0    102      0      0      0      0      0      0 #> 48       0      0      0      4      0      0      0      0      0      0 #> 49       0      0      0      9      0      0      0      0      0      0 #> 50       0      0      0     41      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      1      0      0      4      0      0      0 #> 53     444      0      0      0      0      0      0    502      0      0 #> 54       0      0      0      4      0      0      6      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      1      0      0      0      0      0      0 #> 57       0      0      0      7      0      0      1      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61     505      0      0      0      0      0     43      4      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0      2      0      0      0 #> 64       0      0      0      0      0      0      1      0      0      0 #> 65       0      0      1      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      1      0      0      0      0      0   1235      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV309 ASV310 ASV311 ASV312 ASV313 ASV314 ASV315 ASV316 ASV318 ASV320 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      1      0      0      0      2 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0    555      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0     12      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       2     12      0      0     19      0      0      0      0      0 #> 12       0      2      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       1      0      0      0      0      0      0      0      0      0 #> 16       0     47      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      9      0   1176      0      0     91      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       3      0      0      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      1      0      0      0 #> 24       7      0      0      0      2      0      0      3      0      0 #> 25       0      0      0      0      0     32      0      0      0      0 #> 26       7      0      0      0      0      0      0      0      0      5 #> 27      29      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      1      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      1      0     41      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       5      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0    588      0      0      0      0 #> 48       0      0      0      0      0     13      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0     53      0      0      0    527      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52     204      0      0      0     14      0      0      0      0      0 #> 53     616      0      0      0      0      0      0      0      0      0 #> 54      10      4      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56      25      0      0      0      0      0      0      0      0      5 #> 57       0      0      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0   1120 #> 59       0      0     57      0      0      0      0      0      0      0 #> 60       0      2      0      0      0      0      0      0      0      0 #> 61      20      3      0      0    107      0      4      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       4      0      0      0      0      2      0      0      0      0 #> 64       2      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      2      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV322 ASV323 ASV325 ASV327 ASV328 ASV329 ASV330 ASV332 ASV333 ASV334 #> 1        0    230      0      0     34      0      0      0      0      0 #> 2        0     35      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0    147      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      1      0      0      0      0 #> 7        0    108      0      0     87      5      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9      957     14      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      4      0      0      0      0 #> 11       0      0      0      0      0     67      0      0      0      0 #> 12       0      5      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      2 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      1      0 #> 17      41      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      1      0 #> 19       0      1      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       0      1      0      0     15      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      7      0      0      0      0 #> 27       0      0      0      0      0      2      0      0      0      0 #> 28       0      0      0      0      9      0      0      0      0      0 #> 29       0      0      1      0      0      1      0      0      0     81 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      1      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0   1059      0      0 #> 37       0     59      0      0      0      0      0      0      0      0 #> 38       0     39      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      3      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0     12 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       4      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      1      0      0      0 #> 46       0     15      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0     10      0      0      0      7 #> 48       0      0      0      0      0      9      0      0      0      0 #> 49       0      0      0      0      0     23      0      0      0      0 #> 50       0      3      0      0     45      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       1      0      0      0      0      0      0      0      0     10 #> 53       0      0      0      0      0      3      0      0      0      0 #> 54       0      2      0      0      0      0      0      0      0      0 #> 55       0    270      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      3      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0     21      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0     25      0      0      0      0      0      0    765      0 #> 61       0      1      0      0      0      0      0      0     15      0 #> 62       0      0      0      0      0     12      0      0     30      0 #> 63       0      0      0      0      0      0      0      0      0      3 #> 64       0      0      0      0    226      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0     17      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV336 ASV337 ASV338 ASV339 ASV340 ASV341 ASV342 ASV344 ASV345 ASV346 #> 1        0      0      0      0     76      0      0      0      0      0 #> 2        0      0      0      0      1      0      0      0      1     10 #> 3        0      0      0      0    138      0      0      0      0      0 #> 4        0      0      0      0     22      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0     28      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0     12      0      0      2      0      0 #> 12       0      0      0      0      3      0      4      0      0      0 #> 13       0      0      0      0     17      0      8    110      0    155 #> 14       0      0      0      0      5      0      3    339      0      0 #> 15       0      0      0      1      0      0      0      0      0      0 #> 16       0      0      0      0      1      0     20      0      0      0 #> 17       0      3      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      1      0 #> 19       0      0    213      0      0      0      0      0      0      0 #> 20       0      0      0      5      8      0      2      0      0      0 #> 21       0      0      0      0     10      0      0      0      0     10 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      1 #> 24       0      0      0      0     46      0      6      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      1      0      0      1      0      1      0      1    306 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0     56      0      4      0      7      0      0      0 #> 38    1053      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0     66    122      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0     88      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      9 #> 47       0      0      0      0      0      0      7      0      0      0 #> 48       0      0      0      0      0      0      0      0      0    373 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      1      0    141      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      1      2      0      0      0      0      0 #> 53       0      0      0     18      0      0      0      0      0      0 #> 54       0      0      0    930      0      0      1      8      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      7      0     27      0      0     40 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      3      0      0      0      0      0 #> 61       0      0      0      4      0      0      0      0      0      0 #> 62       0      0      0      0      0      0    448      0      0      0 #> 63       0      0      0      0     18      0      6      0      0      0 #> 64       0      0      0      0      0     22      0      0   1010      0 #> 65       0      0      3      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV347 ASV348 ASV349 ASV350 ASV351 ASV353 ASV355 ASV356 ASV357 ASV358 #> 1        0     24      0      0      0      0      0    311      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      1      0      0      0      0      0     12      0      0 #> 4        0      0      0      0      0      0      0     11      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      1      0      0      0      0 #> 7        0     83      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      8      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      1      0     11      0      2 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0     12      0      0 #> 14       2      0      0      0     68      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      1      0 #> 16       0      0      0      0      0      0      0      2     11      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0    676    289      0      0      0      0      0      4 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0     41      0      0 #> 21       0      4      0      0      0      0      0     15      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      1      0      0     88      0      3 #> 25       0      0      0      0      0      0      0     14      0      0 #> 26       0      0      0      0      0      0      0      1      0      0 #> 27       0      0      1      0      0      0      0      0      0      0 #> 28       0     12      0      0      0      0      0      0      0     55 #> 29       0      0      0      0      0      0      0      3      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0     17      0      0      0    103 #> 35       0      0      0      0      0    878      0      0      0      9 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      2      1      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0     33      0      0      0      8 #> 40       0      0      0      0      0      0      0      0      0      1 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      3      0      1 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      1      0      0      0    506      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46     738      0      0      0      0      0      1      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0     23      0      0      0      0      0     32      0      0 #> 51       0      0      0      0      0      0      0      9      0      0 #> 52       0      0      0      0      0      0      1      5      0      0 #> 53       0      0      0      0      0      0     16      0      0      0 #> 54       2      0      0      0      5      0      0      0      3      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0     45      1      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0     19      3      0      0      0      0      0      1 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61      26      0      2      0      8      0    254      0      0      0 #> 62       0      0      0      0      0      0      0      6      0      0 #> 63       0      0      0      0      0      0      0     75      0      0 #> 64       0    259      0      0      0      0      0     14      7      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV359 ASV360 ASV362 ASV364 ASV365 ASV366 ASV367 ASV368 ASV369 ASV371 #> 1        0      0      0      0      0     10      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      3      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7       11      0      0      0      0     48      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0    705      0      0      2      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0     36      0      0      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0     28      0      0 #> 15       0      0      0      0     14      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0    117      0      7      0      0      0      1      0 #> 18       0      0      0      0      4      0      0      8      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       0      0     46      0      0      6      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      6      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      2      1      0 #> 28       0    928      0      0      0      5      0      0      0      0 #> 29       0      0    191      0      0    160      0      0      2      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0    445 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0     65      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      1      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      2      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0     82      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0     20      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      0      0      0      3      0 #> 53       0      0      0      0      0      0      0    237      0      0 #> 54       0      0      0      0      0      0      0      1     35      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0    151      0    239      0 #> 57       0      0      0      0     93      0      0      0      1      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      4      0     20      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       1      0      0      0      0      0      0    300      0      0 #> 62       0      0     31      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0      0      0      0      0 #> 64       0      0      0      0      0    201      0      1      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0     24      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV372 ASV373 ASV375 ASV376 ASV377 ASV378 ASV379 ASV380 ASV381 ASV382 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      5      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      1      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      1      0      0      0      0 #> 12     776      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      2      0      0      0      0 #> 14       0      0      0      0     60     10      0      0      0      0 #> 15       1      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      1      0      0      0      0 #> 17       0      0      0      0      0      1      0      0      0      0 #> 18       8      0      0      3      0      0      0      0    841      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0     31      0      0      0      0 #> 21       0      0      0      0      0      1      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0    143      7      0      4      0      0 #> 25       0      0      0      0      0    298      0      0      0      0 #> 26       0      0      0      0      0      1      0      0      0      0 #> 27       0      0      0      0      0      1      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0     66      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42      34      0      0      0      0      5      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0     77      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      8      0      0      0      0      0 #> 47       0      0      0      0      0      1      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0    295      4      0      2      0      0 #> 51      54      0      0      0      0      0      0      0      0      0 #> 52       0      0    869      0      0     32      0      0      0      0 #> 53       0      0      0    698      0     75      0      0      0      0 #> 54       0      0      0      0      3      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      1      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      6      0      0      0      0 #> 61      10      0      3      6      0      4      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0    210      0      0      0      0      0 #> 64       0      0      0      0      0     78      0      2      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV383 ASV384 ASV385 ASV386 ASV388 ASV390 ASV393 ASV394 ASV395 ASV397 #> 1        0      0      0      0      0    135      0      0      0      0 #> 2        0      0      0      0      0      2      0      0      0      0 #> 3        0      0      0      0      0      3      0      0      0      0 #> 4        0      0      0      0      0     15      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0     20      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       4      0      0      0      0     11      0      0      3      0 #> 12       0      0      0      0      0      8      0      0      1      0 #> 13       0      0      0      0      0     17      0      0      0      0 #> 14       0      0      0      0      0      8      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      6      0      0      1      0 #> 21       0      0      0      0      0     11      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0     85      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      4      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      1      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0    798 #> 37       0      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       2      0      0      0      0      6      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0    100      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      3      0 #> 48       0      0     61      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      1      0      0      8      0 #> 53      17      0      0      0      0      0      0      0      0      0 #> 54     806      0      0      0      0      0      0      0      0      0 #> 55       0      0     99      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0     13      0      0      0      0 #> 58       0      0      0      0      0      0    810      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0    832      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0     26      0      0      1      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      1      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV399 ASV401 ASV402 ASV404 ASV405 ASV406 ASV407 ASV408 ASV409 ASV411 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0     62      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      1      0      0      0      0      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0     39      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0      0    243      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0    204      0      0      0      0      0      0 #> 25       0      0      0      0      0      0      0      0     82      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0    248 #> 28       0      0      0      0     28      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      5 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0    388      0      0      0      0      0 #> 35       0      0      0      0      2      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0    760      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      1      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      4      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0    777      0      0 #> 47       0      0      0      0      0      0      0      0      3      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0    280      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      2      0      0      0      0    179      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       3      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      1      0      0      0      0      2 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      0      0      0      0      0      0      0      0      2 #> 62       0      0      0      0      0      0      0      0      0     10 #> 63       0      0      0    176      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0    504 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV412 ASV413 ASV414 ASV415 ASV416 ASV417 ASV418 ASV419 ASV420 ASV422 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      4      0 #> 7        1      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      2      0 #> 9        0      0      0      0      0      1      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      1      0      0      0      0      0      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0    397      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0    755      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      2      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      1      0      0      0 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      1      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      2      0      0      0      0      0      0      0      0 #> 25       0      0      0      1      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0     16      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0     61      1      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0     37      0 #> 31       0      0      0      0      0      0      0      0     21      0 #> 32       0      0      0      0      0      0      0      0     43      0 #> 33       0      0      0      0      0      0      0      0      9      0 #> 34       0      0      0      0      0      0      0      0     34      0 #> 35       0      0      0      0      0      0      0      0     14      0 #> 36       0      0    751      0      0      0      0      0     47      0 #> 37       0      2      0      0      0      0      0      0      0      0 #> 38       0      0      0      0    756      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0     14      0 #> 40       0      0      0      0      0      0      0      0     16      0 #> 41       0      0      0      0      0      0      0      0      7      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      2      0      0      0      0      0      0      0      0 #> 47       0      3      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0    261      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52     764      0      0      0      0      0      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0    740      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      3      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0      0      0    709 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      1      0 #> 60       0      0      0      0      0      0      0      0      0      2 #> 61       0      0      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      1      0      0      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      0     28      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV423 ASV424 ASV426 ASV427 ASV428 ASV429 ASV430 ASV431 ASV432 ASV433 #> 1        0      0      0      0      0      0      0      0      0    713 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0     65      0      0 #> 8       13      0      0      0      0      0      0      0      0      0 #> 9        0      0      9      0     26      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0     15      0      0      0      0      0      0      0      0 #> 12       0      0      3      0      0      0      0      0      0      0 #> 13       0    386      1      0      0      0      0      0      0      0 #> 14       0    233     10      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0    146      1      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      5      0      0      0      0      0    723      0 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      2      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      8      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0     77      0      0      0      0      0      0      0 #> 29       0      1      0      0     43     16      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0     21      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      5      4      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      2      0     13      0    733      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0     44      0      0      0      0      0      0      0      0 #> 48       0      0     19    585      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0     25      4    418      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      2      0      0      0      0      0      0      0      0 #> 53       0      0    147      0      0      0      0      0      0      0 #> 54       0      2     50      0      0      1      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      2      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       2      2      1      0      0    284      0      0      0      0 #> 64       0      0     12      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV434 ASV438 ASV439 ASV440 ASV442 ASV443 ASV444 ASV445 ASV446 ASV448 #> 1        0      0      0      0      0      0      0     35      0      0 #> 2        0      0      0      0      0      0      0      2      0      0 #> 3        0      0      0      0      0      0      0      2      0      0 #> 4        0      0      0      0     14      0      0      2      0      0 #> 5        0      0      0      0      0      0      0      0     16      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0     11      0      0      0      0      0      0      6      2 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      1      0      0      0      2    629      9      0      0 #> 12       0      0      0      0      0      0      0      2      0      0 #> 13       0      0      0     10      0      0      0      7      0      0 #> 14       0      4      0      0      0     34      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      2      0      0      0 #> 18       0      0      0      0      0     13      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0     49      0      0      0      0      0      7      0      0 #> 21       0      9      0      0      0      0      0      5      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0     35      0     52      0      0      0     34      0      0 #> 25       0    186      0      0      0      0      0      0      0      0 #> 26       0      1      0      0      0      0      0      0      0      0 #> 27       0      3      0      0      0      1      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0     13      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      2      0      0      0      0      0 #> 37       0     71      0      0      0      1      0      0      0      0 #> 38       0      0    709      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42     169     44      0      0      0      0     11      1      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0    277      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0    101      0      0      0      0      0     20 #> 48       0      1      0      0      0      0      0      0      0     11 #> 49       0      0      0      0      1      0      0      0      0      0 #> 50       0      0      0     19      0      0      0      0      0      0 #> 51       0      0      0      0      0      0     33      0      0      0 #> 52       0     11      0      0      0      0      0      1      0      0 #> 53       0     10      0      0      0    158      0      0      0      0 #> 54       0      0      0      0      0      0      0      1      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      1      0      1      1      0      0      4      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      1      0      0      0      0      0      0      0      0 #> 60       0      0      0      2      0      0      0      0      0      0 #> 61       0      1      0      0      0    309      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0    113      0      0      0     24      0      0 #> 64       0     18      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV449 ASV451 ASV452 ASV453 ASV454 ASV456 ASV457 ASV458 ASV459 ASV460 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      7      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      2      0      0      0      0      0      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0    646      0      0      0      0      0 #> 15       0      0      0      3      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0    565      0      0      0      0      0      0      0 #> 18       0    245    100      0      0      0      0      0      0      0 #> 19       0      0      1      0      0      0      0      0      0      0 #> 20       0      0      0      3      0      0      0      0      0    103 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      2      0 #> 24       0      0      0      5      0     11      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      8      0      0      0      0      0      7 #> 27       0      0      0     19      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0    582      0    523 #> 29       0      0      0      0      0    304      2      0    300      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      3      0      0      2      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      5      0      2      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      1      0      0      1      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0    149      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0    234      0      0      0      0      0      0 #> 53       0      0      0    184      0      0      0      0      0      0 #> 54       0      0      0      3      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0     17      0      0      0      0      0      0 #> 57       0      0      0      0      0      5      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      3      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      0      0     15      3      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      3      0    123      0      0      0      0 #> 64       0      0      0      5      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV461 ASV462 ASV463 ASV464 ASV465 ASV466 ASV467 ASV468 ASV469 ASV470 #> 1        0      0      2      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0     27      0      0      0      0     55      0      0 #> 6        0      0      1      0      0      0      0      8      0      0 #> 7        0    322      0      0      0      0      0    118      0      0 #> 8        0      0      0      0      0      0      0      0      0    435 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      1      0      0 #> 11       0     12      1      1      0      0      0     33      0      0 #> 12       0      0      0      0      0      2      0      0      0      6 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      2      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      1      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20     258      0      0      0      0      0      0     13      0      0 #> 21       2      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      1      0      0      0      0      0      0      0 #> 24       0      0      2      0      0      0      0      0     11      0 #> 25       0      0      0      0      0      0      0      0     36      0 #> 26       0      0      5      0      0      0      0      0      0      0 #> 27       0      0      3      0      0      0      0      6      0      0 #> 28       0      0    373      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0     15      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      3      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0     47      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      1      0      0      0      0      2      0      3 #> 37       0      0      0      2      0      1      0      0      2      0 #> 38       0      0      0      0      0     81      0      0      0      0 #> 39       0      0      0      0      0      0      0      1      0      0 #> 40       0      0      0      0      0      0      0      0      0     13 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       1      0      2      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      4      0      0 #> 44       0      0      0      0      0      6      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46      90      0      0      0      0      0      0      0      3      0 #> 47      73      0      0      0      0      0      0      0     61      0 #> 48       0      0      0     33      0      0      0      0      9      0 #> 49       0      0      0      0      0      0      0     30      0      0 #> 50       0      0      0      0      0      0      0      0     22      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52      32      1      0      0      0      0      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      3      2      0 #> 55       0      0      0      0     19     72      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0      0      6      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      9 #> 61       0     64      0      0      0      0     14      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      2 #> 63       0      0      0      0      0      0      0      0      0      0 #> 64       5      0      0      0      0      0      0      1      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0     30      0      0      0      0      1      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV472 ASV473 ASV474 ASV475 ASV476 ASV477 ASV478 ASV479 ASV480 ASV481 #> 1        0      0      8      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0     12      0      0     57      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      5 #> 11      20      0      0      0      0      0      0      0      0      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13     176      0      0      0      0      0      0      0      0      0 #> 14       4      0      0      0      0      0      0      0      0      0 #> 15       1      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0    302      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0    602      0 #> 20      26      0      0      0      0      0      0      1      0      0 #> 21       1      0      5      0      0    205      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0     10 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24      57      0      0      0      0      0    188      0      0      0 #> 25       0      0      0    229      0     69     75      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29      17      0    125      0      0      0      0      0      0      0 #> 30       0      0      0      1      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      3      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0     42      0      0      0      0      0     10 #> 40       0      0      0      4      0      0      0      0      0     23 #> 41       0      0      0      3      0      0      0      0      0     25 #> 42      15      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      4      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      2      0      0      0      0 #> 47      19      0    275      0      0      6      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50      15      0      3      0      0      0      4      0      0      0 #> 51       1      0      0      0      0      0      0      0      0      0 #> 52       1      0      0      0      0    100      1      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0     13 #> 57       1      0      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0     42 #> 59       1      0      0      0      0      0      0      0      0     56 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      0      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63      86      0      0      0      0      0     31      0      0      0 #> 64       0      0     25      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV483 ASV484 ASV486 ASV487 ASV488 ASV489 ASV490 ASV491 ASV492 ASV493 #> 1        0      0      0      0      0      0      0      0      0      7 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      1 #> 4       79      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      3      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0     28 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      0      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      2    583      0      0      0      0 #> 17      25      0      0    590      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19     406      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0      0      0     92 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0     47      0      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      1      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0    593      0      0      0      0      0      0      0      0 #> 37      73      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      2      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0     41      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0     97      0     59      0      0     15 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      0      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      1      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       1      0      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      8      0      0      0      0      0 #> 61       0      0      0      0      0      0      0      0     15      0 #> 62       0      0      0      0     10      0      0      0      0      0 #> 63       0      0      0      0    359      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0     30 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV494 ASV495 ASV496 ASV497 ASV498 ASV499 ASV500 ASV501 ASV502 ASV504 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0     41      0      0      0 #> 3        0      0      0      0      0      0    435      0      0      0 #> 4        0      0      0      0      0      0      0      6      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0    404 #> 8        0      0      0      0      0      0      1      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      0      0 #> 12       3      0      0      0      0    523      0      1      0      0 #> 13     107      0      0      0      0      0      0     16      0      0 #> 14      37      0      0      0      0      0      0     83      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16      16      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20      82      0      0      0      0      0      0      0      0      0 #> 21       4      0      0      0      0      0      0     16      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       1      0      0      0      0      0      0      0      0      0 #> 24       3      0      0      0      0      0      0    212      0      0 #> 25       0      0      0      0      0     19      0      0      0      2 #> 26       0      0    158      0      0      0      0      0      0      4 #> 27       0      0      7      0      0      0      0      0      0      0 #> 28       0      0    181      0      0      0      0      0      0      0 #> 29       0      0      0    579      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      5      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      1      0      0      0      0      0      0      0 #> 37       4      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      5      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42      11      0      0      0      0      0      0      0     16      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0     95      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      6      0      0      0      0      0 #> 47       4      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      1      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0     19      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       2      0      0      0      0      0      0      0     14      9 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0     87      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      8      0      0      0      0      0      0      0 #> 60       2      0      0      0      0      0      0      0      0      0 #> 61      80      0      5      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0     47 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      7      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV505 ASV507 ASV508 ASV509 ASV511 ASV512 ASV514 ASV515 ASV516 ASV517 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      2      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6       40      0      0      7      0      0      0      0      0      0 #> 7        0      0    187      0      0      0      3      0      0      0 #> 8        2      0      0      8      0      0      0      2      0      0 #> 9        0      0      8      0      0     68      0      0      0      0 #> 10       2      0      0     25      0      0      0      0      0      0 #> 11       0      0      0      0      0      2      0      0      0      0 #> 12       0      5      0      0      0      1      0      0      0      0 #> 13       0      0      0      0      0      0      0      0    471      0 #> 14       0      0    201      0      0      0      0      0     39      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0    406     13      0      0      0      0      0      0      0 #> 17       0      0     11      0      0      0      0      0      0      0 #> 18       0      0      5      0     14      0      0      0      2      0 #> 19       0      0      0      0      3      0      0      0      0      0 #> 20       0    109      0      0      0      0      0      0      0      3 #> 21       0      0      0     28      0     23     32      0      0      0 #> 22      34      0      0     25      0      0      0      0      0      0 #> 23       0      0      4      0      0      0      0      0      0      0 #> 24       0      0      0      0      0    174      3      0      0      0 #> 25       0      0      0      0      0      0     35      0      0     11 #> 26       6      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      9      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0     23     13      0      0      0 #> 30      22      0      0      1      0      0      0      0      0      0 #> 31      11      0      0      1      0      0      0      0      0      0 #> 32      23      0      0      0      0      0      0      0      0      0 #> 33       1      0      0     11      0      0      0      0      0      0 #> 34       2      0      0      8      0      0      0      0      0      0 #> 35       3      0      0      3      0      0      0      0      0      0 #> 36       1      0      0      0      0      0      0      0      0      0 #> 37       0      0     16      0      0     65      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       4      0      0      5      0      0      0      0      0      0 #> 40      13      0      0      8      0      0      0      0      0      0 #> 41       3      0      0     37      0      0      0      0      0      0 #> 42       0      1      2      0      0      1      0      0      0     40 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0     14      0      0     21      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      3      0      2      0      0      0 #> 47       0      0      7      0      0      3     78      0      0      0 #> 48       0      9      0      0      0     15     46      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      5     11      0      2      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0     45      0      0     11      0      0      0     62 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      8      0      0      0      1 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      6      0      0      0      0      0      0      0      0 #> 57       0      0      2      0     23      7      0      0      0      0 #> 58       6      0      0     12      0      0      0      0      0      0 #> 59       3      0      0     11      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      0      0      0      0      4      0      0      0      1 #> 62       0      0      0      0      0      0      0      0      3      0 #> 63       5      0      0      0      0      2      0      0      0      0 #> 64       0      0      0      0      0      8      0      0      1      3 #> 65       0      0      0     74      0      0      0      0      0      0 #> 66       0      0      0     20      0      0      0      0      0      0 #> 67       0      0      0     32      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV519 ASV520 ASV521 ASV522 ASV523 ASV524 ASV526 ASV527 ASV528 ASV529 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        3      0      0     16      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        4      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      2      0      0      0      0      0 #> 7        0      0      1      4      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0    531      0      0      0      0 #> 10       0      0      0      0     58      0      0      0      0      0 #> 11       2      0     19      0      0      0      0      1      0      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       9      0    106      0      0      0      0      0      0      0 #> 14       0      0     11      0      0      0      0      0      0    520 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       1      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0     54      0      0      9      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20      87      0     16      0      0      0      0      0      0      0 #> 21       2      0      3      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0     11      1      0      0      0      0      0      0 #> 25       0      0      2      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       1      0     10      1      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      7      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      1      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      1      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0     10     17      0      0      0      0      0      0 #> 48       0      0      0      5      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      7    149      0      0      0      0      0      0 #> 51       0      0      2      0      0      0      0      0      0      0 #> 52      31      0      7      0      0      0      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      1      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0     13      0      0      0      0      0 #> 57      14      0      4     30      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       6      0      0      1      0      0      0      0      0      0 #> 61       0      0      0      0      0      0      0      0      0      0 #> 62       9      0      0      0      0      0      0      0      0      0 #> 63       0      0     40     60      1      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      6      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      1      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0    424      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV530 ASV531 ASV532 ASV533 ASV534 ASV535 ASV536 ASV537 ASV538 ASV539 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      1      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0    166      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      7      0      0      0      0 #> 7        0      0      0      0    272    100     51      0      0      0 #> 8        0      0      0      0      0      0      0      0      0    174 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      5      0      0      0      0      0 #> 12       0      0      0    434      0      6      2      0      0      1 #> 13       0      0      0      0      0     23      3      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0     43      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      4      0      1      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      2      0 #> 21       0      0      0      0      0      0      0      0      2      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      1      0      0      0      0 #> 24       0      0      0      0      0     34      0      0      4      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0     61      0 #> 30       0      0      0      0      0      4      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      5      0      0      0      3 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0     10      0      0      0      2 #> 37       0      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0     22      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0    195 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      3      0      1      0      0      1      1 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0     46      0      0      0      0      0      0      0     19 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      4      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0     32      0 #> 49       0      0      0      0      0      0     20      0      0      0 #> 50       0      0      0     62      0      0      0      0      0      0 #> 51       0      0      0      0      0      0    242      0      0      0 #> 52       0      0      0      0      0      0      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      2      0      0     53      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0    518      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0      0     20      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      2 #> 61       0      0      0      0     31      0      0      0      1      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      6      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0     10      0      0      0      1 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       9      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV540 ASV541 ASV542 ASV543 ASV544 ASV545 ASV546 ASV547 ASV548 ASV549 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      8      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      5      0      0     10      0      0      0 #> 12       0      0      3      0      0      0      0      0      0      2 #> 13       0      0      0      0      0     13      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      8      0      0      0 #> 16       0      0    367     78      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      3      0      0      0 #> 19       0      0      0      3      0      0      0      0      0      0 #> 20       0      0     58      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0     40      1      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0     27      0      0      0 #> 27       0      0      5      0      0      0     44      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      2      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      1 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      1      0      3      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      4      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0     34      0      0      0      0 #> 48       0      0     37      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      8      3      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0    257      0      2      0      0      3      0    483      0 #> 53       0      0      0      0      0      0      2      0      0      0 #> 54       0      0      0      4    491      0      1      0      0      0 #> 55     501      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0      0      0    466 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      5      0      0      0      0      0      0      0      1 #> 61       0     67      0      0      0      0      0      0      0      0 #> 62       0      5      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0    398      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      1      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV550 ASV551 ASV552 ASV553 ASV554 ASV555 ASV556 ASV557 ASV558 ASV559 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0    489      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4       11      0      0      0      0      0      0      0      0      0 #> 5        0      0      0     15      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0    188      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0     12      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      0      3 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      1 #> 14       0    182      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0     11      0      0      0      0      0      0      0      0 #> 17       0      6      0      0      0      0      0      0      0      0 #> 18       0      7      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0     65 #> 21       6      0      0     12      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24      22      0      0      0      0      0      0      0      0     36 #> 25       1      0      0      0      0      0      0      0      0      0 #> 26       0      0      0     22      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      2 #> 28       0      0      0     91      0      0      1      0      3      0 #> 29       0      0      0      0      0      0      0      0      2      1 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      3      0      0      0 #> 34       0      0      0     19      0      0    320      0      0      0 #> 35       0      0      0      0      0      0      7      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       1     20      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0     16      0      0      3      0      0      0 #> 40       0      0      0      0      0      0      1      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       8      3      0      0      1      0      0      0      0      1 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       5      0      0      0      0      0      0      0      0      0 #> 47      20      1      0      0      0      0      0      0      0     17 #> 48      12      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50      27      0      0      0      0      0      0      0      0      9 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0     33      0      0      0      0      0      0      0      1 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       3      0      0      0      0      0      0      0      0      1 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57      51      2      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60      16      0      0      0      0      0      0      0      0     32 #> 61       4      0      0      0      0      0      0      0      0      1 #> 62      10      0      0      0      0      0      0      0      0      0 #> 63      26      0      0      0      0      0      0      0      0      1 #> 64       1      0      0      0      0      0      0      0      0      3 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0    111      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0     16      0 #> 69       0      0      0      0      0      0      0      0      2      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV560 ASV561 ASV562 ASV563 ASV564 ASV565 ASV566 ASV567 ASV568 ASV569 #> 1        0      0      0     13      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0     17      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      2      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      1      0      0      0 #> 12       0      0      0      0      0      0      0      0      0      4 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0     12      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      2      0      0      0 #> 19       0      0     27      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0    357 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      3 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0     26      0      0 #> 37       0      0      3      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0     21 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0     11      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0    432      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      1      0      0      5      0      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0    447      0      0 #> 57       0      0      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      1      0      0      0      0      0 #> 61       0      0      0      0      1      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV570 ASV571 ASV572 ASV573 ASV574 ASV576 ASV577 ASV578 ASV579 ASV580 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        2      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      4      0      0      0      3    157      0      0      0 #> 5        0      0      0      0      0      1      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      9      0      0      0    292      0      0      0 #> 10       0      0      0      0      0      0      0      0      0     10 #> 11       0      3      4      0      0      0      0      0      0      0 #> 12       0      0      0      1    262      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      1      0      0      0      0      0      0 #> 16       0      0      0      0      0      0     10      0      0      0 #> 17       0      0      0      1      2      0      0      0      0      0 #> 18       0      0      0      9     10      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      2      0      0      0      0      0      0      0 #> 25       0      0      8      0      0      0      0      2      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0     32      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0    223      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      0      0 #> 38       0    376      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0    451     89      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      1      0      0      8      0      0      0      1      0 #> 45       0      0      0      1      2      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0    212     16      0 #> 51       0      0      0      2     34      0      0      0      0      0 #> 52       0      0      3      0      0     45      0      0      0      0 #> 53       0      0    273      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      1      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      6      0      0      0      0 #> 61       0      0      6      1     53      1      0      0      0      0 #> 62       0      0      0      0      0    140      0      0      0      0 #> 63       0      0      0      0      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV581 ASV582 ASV584 ASV585 ASV586 ASV587 ASV588 ASV589 ASV590 ASV591 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        1      0      1      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      1      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      1      0      0      0      0      0 #> 9        0      2      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11      54      0      0      0      0      0      0      0      3      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13      97      0      0      0      6      0      0      0      0      0 #> 14       4      0      0      0      0      0      0      0      0      0 #> 15       8      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0     28      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      1      0     14      0      4      0      0      0      0 #> 19       0      0      0      4      0      0      0      0      0      0 #> 20       9      0      0      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      3      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24      13      0      0      0      0      0      0      0      0      0 #> 25       3      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       8      0      0      0      0     98      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      1      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       1      0      4      0      0      0      0      0      0      0 #> 38       0      0      0      0      0     14      0      8      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0     13      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42      43      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      1      0      9      0      0      0      0 #> 47      33      0      2      0      0      0      0      0      0      0 #> 48       0      0      0      0      0     28      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50      15      0      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      2      0      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       3      0      0      0      0     69      0      0      0      0 #> 55       0      0      0      0      0      0      0    443      0      0 #> 56       0      0      0      0      0      0    453      0      0      0 #> 57       0      0      0     14      0      8      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0    461      0      0      0      0      0      0      0      1 #> 62       0      0      0      0      2      0      0      0      0      3 #> 63      55      0      0      0      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0    445 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV592 ASV593 ASV594 ASV595 ASV596 ASV597 ASV598 ASV599 ASV600 ASV602 #> 1        0      2      0      0      0      0      0      0      0      0 #> 2        4      0      0      0      0      0      0      8      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0    292      0      0      0      0      7      0      2 #> 5        0      0      0      0      0      0      0      0     20      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      1      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      1      0 #> 12       0      0      0      0      0      1      0      0      0      0 #> 13      74      0      0     15      0      4      3      0      0      0 #> 14       0      0      0      0      0      0      0     53      0     36 #> 15       0      0      0      0      0     64      0      0      0      0 #> 16       0      0      1      0      0      0      0    165      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      7      0      0      0      1 #> 19       0      1      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0    327 #> 21       1      0      0     16      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      6      3      0      0      0 #> 25       0      0      0      0      0      0    101      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      1      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29     109      0      0     67      0      0    201      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      2      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0     11      0      0      0      0      0 #> 37       0      0      0      0      0     10      0      8      0      0 #> 38       0      0      0      0      0      0      0      0      1      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      5      0     17      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0     12      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       9      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0     11      0      0 #> 48     173      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0     11 #> 50       0      0      0      1      0      0      6     52      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      0      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0    184      0      0      0      1      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0    176    170      0      0     20      0 #> 57      17      0      0     54      0      0      0      0      0      0 #> 58       0      0      1      0      0      0      0      0      0      0 #> 59       0      0      0      0      0     12      0      0      9      0 #> 60       0      0     65      0      0      9      0      0      0      0 #> 61       0      0      0      5      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      3 #> 63       0      0      0      0      0      0      0     17      0      0 #> 64       0      0      0      0      0      0      0      0      0      1 #> 65       0      0      0      0      0      0      0      0      1      0 #> 66       0      3      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV603 ASV604 ASV605 ASV607 ASV608 ASV610 ASV612 ASV614 ASV615 ASV616 #> 1        0      0      0      0      0      2      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      1      0      0      0      0 #> 4        0      0      0      0      0      2      0      0      0      0 #> 5        0      0      0      0     40      0      0      0      0      0 #> 6        0      2      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0     20      0      0      0      0      0 #> 9        0      0      0      0      0      0     20      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      1     14      0      0      0 #> 12       0      0      0      0      0      0     92      0      0      0 #> 13       0      0      0      0      0      1     22      0      0      0 #> 14       0      0      0      0      0      0     39      0      0      0 #> 15       0      0      0      0      0      0      6      0      0      0 #> 16       0      0      0      0      0      2      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      2 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      3      0      0      0      0 #> 21       0      0      0      0      0      5      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0    245     14      0     53      0 #> 25       0      0      0      0      0      2      0      0      0      0 #> 26       0      0     72      0     26      1      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0    343      0     93      0      0      0      0      0 #> 29       0      0      0      0      0      5      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      1      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      2      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0    250      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0    135      0      0      0      0      0      1 #> 47       0      0      0      0      0      1      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      3      0      0     23      0 #> 51       0      0      0      0      0      3      0      0      0      0 #> 52       0      0      0      0      0      1      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      1      0      0      0     49      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      9      0     39      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      6      0      7      0 #> 61       0      0      0      0      3      0      3      0      0    396 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0     22      1      0    322      0 #> 64       0      0      0      0      0      1     61      0      0      0 #> 65       0     16      0      0      0      0      0      0      0      0 #> 66       0      0      1      0      1      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV617 ASV618 ASV619 ASV620 ASV621 ASV622 ASV624 ASV625 ASV626 ASV627 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0     11      0      0     46      0      0      0      0      0 #> 3        0    131      0      0    111      0      0      0      0      0 #> 4        0     56      0      0      0      0     91      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      0      0 #> 12       0      5      0      0    212      0      0      0      0      0 #> 13       0    166      0      0      0      0      0      0      0      0 #> 14       0      0      0      0     37      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      3      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0    419      0      0      0      0      0      0      0 #> 21       0      1      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      1      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      1      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0     16      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0    223      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       6      6      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      2      0      0      0      0      0      0      0      0 #> 51     109      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      0      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      3      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      2      0      1      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      1      0      0      0      0    309      0      0      0 #> 61       0      0      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0      0      7      0      0 #> 64       0      0      0      0      0      0      0      0     10      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV628 ASV629 ASV630 ASV631 ASV632 ASV633 ASV634 ASV635 ASV636 ASV637 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2      291      0      0      0      0      0      0      0      0      0 #> 3        0      0      0     63      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      3      0      0    166 #> 5        0      0      0      0      0      0      8      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0     28      0      0      0      0      0      0 #> 8        0      0      0     21      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      1      0      0 #> 12       0      0      0      0      0      0      0      9      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      1      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      3      0      0 #> 18       0      0      0      0      0      0      0      1      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       2      0      0      2      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0    100 #> 25       0      0      0      0      0      0      0      0      0    130 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0     55      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      4      0      0      0      0      0 #> 35       0      0      0      0    299      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0    358      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      5      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46      17      0      0      9      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      4 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0      0      0      1 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0    408      0      0      0      0     28      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59      14      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0     21      0      0      0 #> 61       0      0      0      0      0      0      1     26      0      0 #> 62       0      0      0      0      0      2      9      0      0      0 #> 63       0      0      0      0      0      1      0      0      0      0 #> 64       0      0      0      0      0      0      0      0    404      0 #> 65       0      0      0      0      0      7      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      2      0      0      0      0      0      0 #> 68       0      0      0      0      0     29      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV639 ASV640 ASV641 ASV643 ASV644 ASV645 ASV647 ASV649 ASV650 ASV651 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0     10      0      2      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      3      0      0      0      0      0      0      0 #> 7      275      0      0      0      0      0      0      0      0      0 #> 8        0      0      1      0      0      0      4      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      0      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      1      0      0      0      0 #> 14       0      0      0      0      1     22      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      4      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      3      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      3      0 #> 21       0      0      0      0      0     15      3      0      0      0 #> 22       0      0      6      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0     33      0     14      0      0 #> 25       0      0      0      0      0      0      0      0     20      0 #> 26       5      0      0      0      0      0      0      0      0      0 #> 27      11      0      0      0      0      0      0      0      0      0 #> 28       5      0      0      0      0      0      0      0      0      0 #> 29       0      2      0      0      1     42      1      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0     10      0      0      0      2      0      0      0 #> 34       0      0     36      0      0      0      9      0      0      0 #> 35       0      0     68      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0     17      0      0      0      0      0      0      0 #> 40       0      0     29      0      0      0      3      0      0      0 #> 41       0      0     22      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      9      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0    215      0      0     97      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0    383      0      0      0      0      0      0 #> 47       0      0      0      0      0      3      0      0      0      0 #> 48       0      1      0      0      0    139      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      6      0      0      0     50      0      0      0      0 #> 51       0      0      0      0      0      0      1      0      0      0 #> 52       0      0      0      0      0      0      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      5      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0     53      0      0      0 #> 57       0      0      0      0      1      0      0      0      0      0 #> 58       0      0      8      0      0      0      0      0      0      0 #> 59       0      0      1      0      0      0      5      0      0      0 #> 60       0      0      0      0      0      4      0      0      0      0 #> 61       0      0      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      2      0      0      0     12      8      0      0      0 #> 64       0      0      0      0      3      0      0      0      0      0 #> 65       0      0      0      0      0      0     15      0      0      0 #> 66      34      0      0      0      0      0      2      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV652 ASV653 ASV654 ASV656 ASV657 ASV658 ASV659 ASV660 ASV661 ASV662 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      6      0      0      0      0      0 #> 3        0      0      0      0    353      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      6 #> 6        0      0      0      0      0      0      0      0      0      1 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      4 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      0      2 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0      0      0      1 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      3      0      0      0      0      0      0      0      0 #> 24       0      0      1      0      0      0      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26     381      0      0      0      0      0      0      0      0      5 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28      10      0      0      0      0      0      0      0      0      6 #> 29       0      0    298      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      2      0      1 #> 34       0      0      0      0      0      0      0      2      0     23 #> 35       0      0      0      0      0      0      0      0      0      9 #> 36       0      0      0      0      0      0      0      0      0      5 #> 37       0      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0    383      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      6 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      1      0 #> 43       0      0      0      0      0      0      0      0      0      1 #> 44       0      0      0      0      0      0     32      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      8 #> 52       0      0      0      0      0      0      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      2      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      1 #> 57       0      0      1      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      3 #> 59       0      0      0      0      0      0      0      0      0      1 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      0      0      0      0      0      0      0      4      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      3      0      0      0      0      0      0      1      0 #> 64       0      0      0      0      0      0     21      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      2 #> 66       0      0      0      0      0      0      0      0      0      9 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV664 ASV665 ASV666 ASV667 ASV668 ASV669 ASV670 ASV671 ASV672 ASV673 #> 1        0      0     32      0      0      0      0      0    319      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      3      0      1      0      0      0      0      0 #> 4        0      0      0      0      0      1      0      0     23      0 #> 5      365      0      4      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      7      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0     15 #> 11       0      0      0      0      0      0     36      0      0      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0     91      0      0      0 #> 14       0      0      0      0      1      0      2      0      0      0 #> 15       0      0      0      0      0      0      5      0      0      0 #> 16       0      0      0      0      2      8      0      0      0      0 #> 17       0      0      0      0      0    141      0      0      0      0 #> 18       0      0      0      0      1    141      0      0      0      0 #> 19       0      0      0      0      5     19      0      0      0      0 #> 20       0      0      1      0      0      0      3      0      0      0 #> 21       0      0     14     17      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      1      0      0 #> 24       0      0      0      0      0      0      1      0      0      0 #> 25       0      0     97      0      0      0      6      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      6 #> 28       0      0      3      0      0      0      0      0      0      0 #> 29       0      0      1      3      0      3      2    171      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      1      0      0      0      4      3      0      0      0 #> 38       0      0      0      0    149      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      1      0      0     25      0      0      5 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0     67      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0     22      0      1      2     28      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      0      1      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0    107      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      2      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0     10 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      0      0      0      0      0      1      0      0      0 #> 62       0      0      0      0      0     11      0      0      0      8 #> 63       0      0      2      0      0      1     23      0      0      1 #> 64       0      0      4     11      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV674 ASV675 ASV676 ASV677 ASV678 ASV679 ASV680 ASV681 ASV682 ASV683 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      5      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      0      0 #> 12       0      0      0      9      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0    354      0      0      0      0      0 #> 17       0      0      0      0      0      1      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      1      0      0      0      0      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0     26      0      0      0 #> 27       0      0      0      0      0      0     86      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34      13      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0    361      0      0 #> 37       0      0      0      1      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       1      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      1      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0     14      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0    360      0      0      0      0 #> 52       0      0      0      0      0      0      0      0      0    345 #> 53       0      0      0      0      8      0      0      0      0      0 #> 54       0    338      0      1      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0     20      0      0      0 #> 57       0      0      0      1      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      4      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      0      0      0      0      0      1      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV684 ASV685 ASV686 ASV687 ASV688 ASV689 ASV691 ASV692 ASV693 ASV694 #> 1        0      0      0      0      0      0     48      0      0      0 #> 2        0      0      0      0      0      0      8      0      0      0 #> 3        0      0      0      0      0      0      4      0      0      0 #> 4        0      0      0      0      0      0      0      0      1      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0     36      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0    101 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0    346      0      0 #> 12       0      0      0      0      0      0      0      0      0     16 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14     353      0      0      0      0      0      0      0      0      0 #> 15       0      6      0      0      0      0      0      0      0      5 #> 16       0      0      0      0      0      0      0      0      5      0 #> 17       0      0      0      0      0      0      0      0      0     56 #> 18       0      0      0      0      0      0     17      0      0      5 #> 19       0      1      0      0      0      0      0      0      0      2 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0      0     71      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0     16      0      1      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0     15      0      0      0 #> 29       0      0      0      0      0      0      8      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      3      0 #> 38       0      0      0      0      0      0      2      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      4      0      0      0      0     11 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      3      0 #> 47       0      0      0      0      0      0      5      0     13      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0     21      0     81      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      0      0      0      0      1 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      1      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       2      0      0      0      0      0      0      0     26      8 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      1      0 #> 61       0      0      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0      1      0     43      0 #> 64       0      0      0      0      0      0     50      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0    346      0      0      0      0      0 #>     ASV695 ASV696 ASV697 ASV698 ASV699 ASV700 ASV701 ASV702 ASV703 ASV704 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      5      0      0 #> 3        0      0      0      0      0      0      0      4      0      0 #> 4        1      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      2 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      0      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      9      0      0      0      0      0     78 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      3      0      9      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0     11      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0    336      1 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      2      0      0 #> 38       0      0      0      0      0      0      0      0      0     60 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0    341      0      0      0      0     60 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0     22 #> 47       0      0      8      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0     65      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      1      0      0      0      0      0      0      0      1 #> 53       0    310      0      0      0    340      0      0      0      0 #> 54       0      0      1      0      0      0      0      0      0      2 #> 55       0      0    170      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0      0      0      3 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      2      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0    102      0      0 #> 63       0      0      0      0      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      0    111      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV705 ASV707 ASV710 ASV711 ASV712 ASV713 ASV714 ASV715 ASV716 ASV717 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0     16      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      3      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0     21      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      0      3 #> 12       0      0      0      0      0      0      4      0      0      1 #> 13       0      0      0      0      0      0      0      0      0     20 #> 14       0      0      0      0      0      0      0      0      0      4 #> 15       0      0      0      0      0      0      0      0      0      3 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      1      0      0      0 #> 18       0      0      0      0      0      0     19      0      0      0 #> 19       0      0      0      0      0      0      2      0      0      0 #> 20       0      0      0      0      4      0      0      3      0      3 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      3      0      0      0      0      0 #> 25      82      0      0      0      0      0      0      2      0      0 #> 26       0      0      0      0      0      0      0      6      0      0 #> 27       0      0      0    255      0      0      0    165      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0     49      0      0      0 #> 38       0      0      0      0      0      0     29      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      1      0      0      0      0      0      0      0    269 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0     16      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      1      0      0      1      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0      0      0      6 #> 51       0      0      0      0      0      0      6      0      0      0 #> 52       0      0      0      0      0      0      0      0      0      1 #> 53       0      0      0      0      0      0      0      1      0      0 #> 54       0    332      0      0    233      0      0      0      0      0 #> 55       0      0      0      0      0      0      4      0      0      0 #> 56       0      0      0      0      0      0      0      2      0      0 #> 57       0      0      0      0     16      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      0      0      0      4      0      0      0      0      5 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      1      0      0      0      0      0      0      0      1 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       1      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      3      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV718 ASV720 ASV721 ASV722 ASV723 ASV724 ASV726 ASV727 ASV728 ASV729 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      2      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      4      0      0      0      0 #> 9        0      0      0      0      0      0      0      4     25      0 #> 10       0      0      0      0      0     12      0      0      0      0 #> 11       0      0      0      0      0      0      0      1     31      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0     45      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      5      0      0 #> 16       0      0      0      0      1      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      1      0      0 #> 18       0      0      0      0      0      0      0      7      0      0 #> 19     151      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      6      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      7      0      0      1      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      4      0      0 #> 27       0     16      0      0      0      0      3     18      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0     17      0      0      0      0 #> 31       0      0      0      0      0     25      0      0      0      0 #> 32       0      0      0      0      0     12      0      0      0      0 #> 33       0      0      0      0      0      8      0      0      0      0 #> 34       0      0      0      0      0     12      0      0      0      0 #> 35       0      0      0      0      0     17      0      0      0      0 #> 36       0      8      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      2      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      9      0      0      0      0 #> 40       0      0      0      0      0     26      0      0      0      0 #> 41       0      0      0      0      0     28      0      0      0      0 #> 42       0      0      0      0      0      0      0      1      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0     83      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      1      0    102 #> 47       0      0      0      0     69      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      3      0      0      0 #> 50       0      0      0      0      4      0      0      1      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      0      0      3      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      2      2      0      0      1      0      5 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0     23      0      0      0      0      4 #> 58       0      0      0      0      0     28      3      0      0      0 #> 59       0      0      0      0      0     10      0      0      0     17 #> 60       0      0      0      0      0      0      7      0      0      0 #> 61       0      0      0      0      0      0      0      0      0     15 #> 62       0      0      0      0      0      0      0      0      0      4 #> 63       0      0      0      0    126      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0    265      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV730 ASV731 ASV732 ASV733 ASV734 ASV736 ASV737 ASV738 ASV739 ASV740 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      2      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      5 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      1      0      2      0      0      0 #> 12       0      0      0      0      2      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0     50      0      0     24      0      0 #> 17       0      0      0      0      3      0      0      0      0      0 #> 18       0      0      0      0      6      0      0      0      0      0 #> 19       0      1      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0     75      0      0      0 #> 21       0      0      0     18      6      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       3      0      0      0     10      0      0      5      0      0 #> 25       0      0      0      0     27      0      0      0      0      0 #> 26       0      0      0      0      0      0     31      0      0      0 #> 27       0      0      1      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      8      0      0      0     51      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0     55      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      6      0      0      1      0      0 #> 38       0      0      0      0      0      0      0     10      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44     206      5      0      0     21      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0     11      0      0      4      0      0 #> 47       0      0      0      0      0      0      0      0      0     28 #> 48       0      0      0      0      0      0      0     13      0     11 #> 49       0    117      0      0      0    291      0      0      2      0 #> 50      14      0      0      0     13      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      4      0      0      0      0      0 #> 53       0      0    294      0      0      0      0      0      0      0 #> 54       0      0      0      0      2      0      0     40      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       1      0      0      0     18      0      0      7      0      0 #> 58       0      0      0      0      0      7      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0     13      1      0      0      0      0 #> 61       0      1      0      0      7      0      0      1      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63      78      0      0      0      0      0      0      0      0      0 #> 64       0      0      0     18      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0     60      0      0      0      5      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV741 ASV742 ASV743 ASV744 ASV745 ASV746 ASV747 ASV748 ASV749 ASV751 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        1      0      0      0      0      8      2      0      0      0 #> 5        0     30      0      0      0      0      0      0      7      0 #> 6        0      0      0      0      0      0      0      2      0      0 #> 7        0      1      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0     50      0 #> 11       0      6      0      0      0      0      0      0      0      0 #> 12       0      0     25      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0     22      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       1      0      0     19      0      2      0      0      0      0 #> 17       0      0      0      0      0      9      0      0      0      0 #> 18       9      0      0      0      0    156      0      0      0      0 #> 19       0      0      0      0      0     49      0      0      0      0 #> 20     210      1      0      1      0      0      0      0      0      0 #> 21       0      1      0      0      0      0      0      0     22      0 #> 22       0      0      0      0      0      0      0      0      1      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      5      0      0      0      0      0      0      0 #> 25       0      1      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      1      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      4      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      1      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      1      0      6      0 #> 37       0      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0     20      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      2      0 #> 40       0      0      0      0      0      0      0      0      1      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      3      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0    243      0      0    300 #> 50       3      0      0      0      0      2      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      0      0      0      0      0 #> 53       0      1      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      3      0 #> 57       0      0      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      7      0      8      0 #> 59       0      0      0      0      0      3      0     63     12      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      0      0      0      0      0      0      0      3      0 #> 62       0      0      0      0      0      0      0      1      0      0 #> 63       0      0      0      0      0      0      0      0     14      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      9      0      0      0      0 #> 66       0      0      0      0      0      0      0      0     16      0 #> 67       0      0      0      0      0      0      0      1      0      0 #> 68       0      0      0      0      0      0     25      0      0      0 #> 69       0      0      0      0      0      0      0      0      4      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV752 ASV753 ASV754 ASV755 ASV756 ASV757 ASV758 ASV760 ASV761 ASV762 #> 1        0      0      0      0     49      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      4     10      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      4      0      0      0      0      6      0      0      0 #> 7        0      0      0      0      2      0      0      0      0      0 #> 8        0      0      0      0      0      0      9      0      0      0 #> 9        0      0      0      0      0      0      0      2      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      2      0      0      0      0      0      0      0 #> 12       0      0      0      0      1      0      0      0      0      0 #> 13       0      0      0      0      9      0      0      0      0      0 #> 14       0      0      0      0      4      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0    293 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      1      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      8      0      0      0      0      0      0      0 #> 21       0      0      0      0      1      0      0      0      0      0 #> 22       0      0      0      0      0      0     13      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0     45      0     24      0      0      0      0      1 #> 25       0      0      2      0      0      0      0      0      0      0 #> 26       0      0      0     17      0      0      1      0      0      0 #> 27       0      0      0      0      0      0      0     68      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      1      0      0     14      0      0      0 #> 34       0      0      0      0      0      0      5      0      0      0 #> 35       0      0      0      0      0      0     17      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      4      0      0     14      0      0      0 #> 40       0      0      0      0      0      0     35      0      0      0 #> 41       0      0      0      0      0      0     36      0      0      0 #> 42       0      0      0      1      2      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      1      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      1      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0     23      0    220      0      0      0      0 #> 50       0      0      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      1      0      0      0      0      0      0      0 #> 53       0      0      4      0      0      0      0      0      0      0 #> 54       0      0      4      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      4      0      0      2      0      0 #> 58       0      0      0      0      0     39     18      0      0      0 #> 59       0      0      0      0      0      0     12      0      0      0 #> 60       0      0      0      0      2      0      0      2      0      0 #> 61       0      0      0      1      0      0      0      0      0      0 #> 62       0      0      0      0      0     14      0      0      0      0 #> 63       0      0     10      0      7      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      2      0     71      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV763 ASV764 ASV765 ASV766 ASV767 ASV768 ASV769 ASV770 ASV771 ASV772 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0     71 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      1     13     11      0      0 #> 12       0      0      0      0      0     19      0      0      0      0 #> 13       0      0      0      0      0      0     85      0      0      0 #> 14       0      0      0      0      0      0      2      0      0      0 #> 15       0      0      0      0      0      0      0     97      0      0 #> 16       0      0      0      6      0      5      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0     82      0      3 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0     54      0     65      5      0      0      0 #> 21       0      0      0      1      0      1      2      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0     16      0      0      1 #> 25       0      0      0      0      0      0      2      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      8      0      0      6 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      0      3 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      2      0      0      0      0      6      0      0      5 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      5      0      0      0      0      0      0      2 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      7      0      0     19 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      1      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      4      0      0      3 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      1      0      5      0      4 #> 53       0      3      0      0      0      0      0      0      0      0 #> 54       0    285      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0      0      0     17 #> 58       0      0      0      0    288      0      0      0      0      3 #> 59       0      0      0      0      1      0      0      0     55      0 #> 60       0      0      0      0      0      0      0      2      0      0 #> 61       0      1      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0     30      0      0     20 #> 64       0      0      0      1      0      2      0      0      0     10 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      1      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV773 ASV774 ASV775 ASV776 ASV777 ASV778 ASV779 ASV780 ASV781 ASV782 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0     18      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0     31 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0    196      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      0      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      1      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      2      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0     85      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0      0 #> 25       0      4      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      8 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34      17      0      0     74      0      0      0      0      0      1 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      3      0      0      0      0      0      0      0      0 #> 37       0      7      0      0      0      0      0      0      3      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39      57      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      1      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      1      0     51      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      7      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      5      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      1      0      0      0      0      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      8      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56      94      7      0      0      0      0      0      0      0      0 #> 57       0      0      0      0    130      0     52      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      1      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0     62      0      0      0 #> 61       0      0      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV783 ASV784 ASV785 ASV786 ASV787 ASV788 ASV790 ASV792 ASV795 ASV796 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      1 #> 6        0      0      0      0      0      0      3      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      7      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       3      0      0      0      0      0      0      0      0      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      6      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      5      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20      13     10      0      0      0      0      0      0      0      0 #> 21       0     12      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      3      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      2      0      0      0      0      0      0      0      0 #> 25       0     26      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0    251      0      0      0      0 #> 27       0      0      1      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      1      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      9      0      0      0 #> 34       0      0      0      0      0      5     23      0      0      0 #> 35       0      0      0      0      0      0     52      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      1      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0     12      0      9      0      0      0 #> 40       0      0      0      0     40      0     19      0      0      0 #> 41       0      0      0      0      0      0     15      0      0      0 #> 42       3      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       5      5      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      7      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       4      1      0      0      0      0      0      0      0      0 #> 53       0      0    265      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0    269      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       1      0      0      0      0      0      0      0      0      0 #> 57       0      4      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      6      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      1      0      0      0      0      0      0      0      0 #> 62       0      0      0      0     22      0      0      0      0      0 #> 63       0      0      0      0      0      0      0      0      0      0 #> 64       0     13      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      3 #> 69       0      0      0      0      0      0      0      0      0    249 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV797 ASV798 ASV799 ASV801 ASV802 ASV803 ASV804 ASV805 ASV806 ASV807 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      1      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0     15      0      0 #> 11       0      0     20      0      0      0      0      0      0      0 #> 12       0      0      1      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      2      0      0      0      0      0      0 #> 15       0      0      1      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      1      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      5      0      0     54      0      0      0      0 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      1      0      0      0      0      0      0     11 #> 25       0      0      2      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      5      0      0      0      0 #> 27       0      0      1      0      0      0      0      0      0      0 #> 28       0      0      0      0      0    198      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0     21 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34     182      0      0      0      0      0      0      2      0      0 #> 35       3      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0    255      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       1      0      0      0      0      0      0      0      0      0 #> 40       2      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0     21      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      5      0      0      0      0     16      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0      2      0      5 #> 51       0      0      0      0      0      0      0    123      0      0 #> 52       0      0      1      0      6      0      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      3      0      0      0      0      0      0     11 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0    125      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0     82 #> 61       0      0      0      0      4      0      0      0      0      8 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      1      0      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV808 ASV810 ASV811 ASV814 ASV815 ASV816 ASV817 ASV819 ASV820 ASV821 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0     95 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      8      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      1      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0     13      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      0      0 #> 12       0      0      0      0      0      6      2      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0     78      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      1      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      1      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      1      0     37      0      3 #> 22       0      0      1      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0     17      0      0      0      0      0      4      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      5      0      0      0      0      0      0      0 #> 34       0      0     16      0      0      0      0      0      0      0 #> 35       0      0     59      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0    133      0      0      0      1      0      0      0      0 #> 38       0      0      0      0      0      3      0      0      0      0 #> 39       0      0      7      0      0      0      0      0      0      0 #> 40       0      0      9      0      0      0      0      0      0      0 #> 41       0      0      4      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      7    169      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      1      0      0      0     11 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      7      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      0      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      1      0      0 #> 55       0      0      0      0      0      1      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0     11      0      0      0      0      0     13      0      0 #> 58       0      0      1      0      0      0      0      0      0      0 #> 59       0      0      1      0      0      0      0      0      0      3 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      0      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      4      0      0      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0     15      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV822 ASV823 ASV824 ASV826 ASV827 ASV828 ASV829 ASV830 ASV831 ASV832 #> 1        0      0      0      0      0      0      2      0      3      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      8      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7       10      0      0      0      0      0      0      0      1    130 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10      17      0      0      0      0      0      0      0      0      0 #> 11       0      0      3      0      0      0      0      0      0      0 #> 12       0      0      1      0    250      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      2      0      0      0      0      0      0      0      0 #> 20       0      0     51      0      0      2      0      1      0      0 #> 21       0      0      0      0      0     10      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0     11      0      0      0      0      0      0      0 #> 25      21      0      0      0      0      2      0      0    116     20 #> 26       0      0      0      0      0      0      0      0      0      2 #> 27       5      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      1      0 #> 29       0      0      4      0      0      1      0      0      2      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       4      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       1      0     24      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      3      0      0      0      0      0      8      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      0    243      0      0      0 #> 52       0      0      6      0      0     23      0      0      0      8 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      7      0      0     29      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0     17      3      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      1      0      0      5      0      0      0      0 #> 64       0      0      0      0      0      1      0      0      1     37 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV833 ASV834 ASV835 ASV836 ASV837 ASV838 ASV839 ASV840 ASV841 ASV842 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11     248      0      0      0      0      0      0      0      0     18 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      9 #> 14       0      0      0      0      0      0      0      0      0      4 #> 15       0      1      0      0      0      0      3      0      0      1 #> 16       0      0      0      0      0      2      0      1      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      1      0      0      0      3      0      0      0      2 #> 21       0      0      0      0      0      1      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      2      0    240      0      2 #> 25       0      0      0      0      0      1      0      0      0      2 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      1 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      4 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      0      3 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0     78 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0    248      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      1      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      0     52 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0      1      0      3 #> 51       0      0      0      0      0      1      0      0      0      0 #> 52       0      0      0      0      0      1      0      0      0      1 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0    217      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      1      0      0    187      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      3      0      0      0      0      1      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0     20      0      2      0      4 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV843 ASV844 ASV845 ASV847 ASV848 ASV849 ASV850 ASV851 ASV852 ASV853 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0     12 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0     46      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      0      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14      30      0      0      0    160      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      5      0      0      0      0      0      0      0 #> 34       0      0     16      0      0      0      0      0      0      0 #> 35       0      0     59      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      0      6 #> 38       0      0      0      0      0      0      0      0      0      3 #> 39       0      0      7      0      0      0      0      0      0      0 #> 40       0      0     15      0      0      0      0      0      0      0 #> 41       0      0      8      0      0      0      0      0      0      0 #> 42     126      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0     79 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      5 #> 52       0      0      0      0      0      0      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0     49      0      0      0      0      0      0    217      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0     81      0      0      0      0      0 #> 58       0      0      2      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       1      0      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0      0      0      0      0 #> 64      68      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      7      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV854 ASV855 ASV856 ASV857 ASV858 ASV859 ASV860 ASV861 ASV862 ASV863 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0     10      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      2      0      0      0      0 #> 7        0      0      0      0      0      0      1      0      0      0 #> 8        0      0      0      0      0      2      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      1      0      0      0      0 #> 11       0      0      0      0      0      0      0      5      0      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14      13      0      0      1      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16      35      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0    234      0 #> 18       0      1      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0     23      0      0 #> 22       0      0      0      0      0      1      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0      0 #> 25       0      0      0      0      0      0    128      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0     17      0      0      0      0      7      0      0    104 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      4      0      0      0      0 #> 31       0      0      0      0      0      8      0      0      0      0 #> 32       0      0      0      0      0      1      0      0      0      0 #> 33       0      0      0      0      0     11      0      0      0      0 #> 34       0      0      0      0      0     26      0      0      0      0 #> 35       0      0      0      0      0     31      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      1      0      0      0      0 #> 40       0      0      0      0      0     22      0      0      0      0 #> 41       0      0      0      0      0     16      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0    203      0      0      0      0      0 #> 50       0      0      0      2      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      0     10      0      0      0 #> 53       0    212      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      2      0      0      0      0      0 #> 57       5      0      0      1      0      0      0      0      0      0 #> 58       0      0      0      0     14      2      0      0      0      0 #> 59       0      0      0      0      0     13      0      0      0      3 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      0      0      0      1      0      0      0      0      1 #> 62       0      0      0      0      0      0      0      0      0     15 #> 63       0      0      0    214      0      0      0      0      0      0 #> 64       0      0      0      0      0      0     48      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0    203      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      4      0      0      0      0    111 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV865 ASV866 ASV867 ASV868 ASV869 ASV870 ASV873 ASV874 ASV875 ASV876 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0     63      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      2      0      1      0 #> 9        0      0      0      0      0    152      0      0      0      1 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      0      0 #> 12       0      0      0      0      0      0      1      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      9      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      1 #> 28       0      0      0      0      0      0     78      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      1      0 #> 40       0      0      0      0      0      0      3      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      3 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50      19      0      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      0      0    104      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      4 #> 61       1      0      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      2      0      0      0 #> 63       0      0      0      0      0      0      0      0      3      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      4 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV877 ASV878 ASV879 ASV880 ASV883 ASV884 ASV887 ASV888 ASV890 ASV891 #> 1        0      0      0      0      0      0      2      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      1      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      3      0      3      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      3      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       7      0      0      0      0      0      2      0      0      0 #> 12       0      0      0      2      0      0      1      0      0      0 #> 13      30      0      0      0      0      0      4      0      0      0 #> 14      43      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      7      0      0      3      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      2 #> 20       0      0      0      0      0      0     16      0      0      0 #> 21       0      0      0      0      0      0      2      0      0      0 #> 22       0      0      0      0      0      3      0      6      0      0 #> 23       0      0      0      0      0      0      0      0      0      1 #> 24       8      0      0      0      0      0     31      0      0      0 #> 25       5      0      0     52      0      0      6      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       5      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29      14      0      0      0      0      0      2      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      6      0      5      0      0 #> 34       0      0      0      0      0     26      0     19      0      0 #> 35       0      0      0      0      0     39      0     41      0      0 #> 36       0      0      0      0    216      0      0      0      0      0 #> 37       0      0      0      1      0      0      1      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      7      0      9      0      0 #> 40       0      0      0      0      0     18      0     12      0      0 #> 41       0      0      0      0      0     15      0     10      0      0 #> 42      15      0      0      0      0      0      1      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0     84      0      0      0      0      0      0      0 #> 47      35      0      0      8      0      0      0      0      0      0 #> 48       0      0     70     10      0      0      0      0      0      0 #> 49       0      0      0      0      7      0      0      0      0      0 #> 50      32      0      3      1      0      0     12      0      0      0 #> 51       0      0      0      0      0      0     14      0      0      0 #> 52       0      0      0      0      0      0      0      0      0      0 #> 53       0      0      0      0      0      0      1      0      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0    225      0      0      0      0      0      0      0      0 #> 57       0      0      5      0      0      0     14      0      0      0 #> 58       0      0      0      0      0      4      0      5      0      0 #> 59       0      3      0      0      0      2      0      1      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       3      0      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      5      0      0      0 #> 63       7      0      0     25      0      0     32      0      0      0 #> 64       0      0      0      0      0      0      2      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      7 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV892 ASV895 ASV897 ASV898 ASV899 ASV900 ASV901 ASV902 ASV903 ASV904 #> 1        0      0     39      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      2      0      0      0      0      0      0      0 #> 4        0      0      6      0      0      0      0      0      5      1 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        1      0      0      0      0      0      0      0      0      0 #> 7        0      0      1      0      0      0      0      0      0      1 #> 8        0      0      0    201      0      0      0      0      0      0 #> 9        0      0      0      0    210      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      4      0      0      0      0      0      0      0 #> 12       0      0      0      0      0    217      0      0      0      0 #> 13       0      0      5      0      0      0      0      0      0      0 #> 14       0      0      1      0      0      0      0      0      0     33 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      5      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      2      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       0      0      2      0      0      0      0      0      0      5 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0     39      0      0      0      0      0      0      5 #> 25       0      0      0      0      0      0      0      0    200      0 #> 26      17    206      0      0      0      0     42      0      0      0 #> 27       0      0      0      0      0      0      4      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34      58      0      0      0      0      0     11      0      0      0 #> 35       0      1      0      0      0      0      0      0      0      0 #> 36       0      0      0      4      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0     88      0      0 #> 38       0      0      0      0      0      0      0      0      0      1 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      6      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0     11 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      3 #> 50       0      0      0      0      0      0      0      0      8      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      1      0      0      0      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      4      0      0      0      0      0      0      3 #> 58       0      0      0      0      0      0      0      0      0      3 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      1      0      0      0      0      0      0      2 #> 61       0      0      0      0      0      0      0      0      0      1 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      7      0      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      5      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV905 ASV906 ASV907 ASV908 ASV909 ASV910 ASV911 ASV913 ASV914 ASV915 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      2      0      0      0      0      0      0      0      0 #> 4        0      5      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      2      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      1      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      0      0 #> 12       0      0      0      0      0      0      0      0      0    163 #> 13       0     24      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       1      2      0      0      0    210      0      0      0      4 #> 21       0      0     25      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0     22      0      0      0      0      0      0      0      0 #> 25       0      0      0      0      0      0      9      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      9      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      3      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0     40      0 #> 35       0      0      0      0      1      0      0      0     44      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0     51      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      5      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      1      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      4      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      0      4      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0     12      0      0      0      0      0 #> 57       0      4      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      1      0      0      0 #> 60       0      1      0      0      0      0      0      0      0      0 #> 61       0      0      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      1      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0    188      0      0      0      0      0      4      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV916 ASV917 ASV918 ASV919 ASV920 ASV921 ASV922 ASV923 ASV924 ASV925 #> 1        0      0      0     31      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0    208 #> 3        0      0      0      0      0      0      1      0      0      0 #> 4        0      0      0      5      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      2      0      0      0      0      0      0 #> 12       0      0      0      2      0      0      0      1      0      0 #> 13       0      0      0      8      0      0      0      4      0      0 #> 14       0      0      0      2     65      0      0      1      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      2      0      0      0      0      0      0 #> 21       0      0      0      3      0      4      0     13      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       1      0      0     26      0      0      0     20      0      0 #> 25       0      0      0      0      0      2      1      0      0      0 #> 26       0      0      0      0      0      4      0      0      0      0 #> 27       0      0      0      0      0    106      0      0      0      0 #> 28      15      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34      25      0      0      0      0      0      0      0      0      0 #> 35       6      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       1      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      2     95      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0     10      0      0 #> 48       0      0      0      0      0      0      2     57      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0     10      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      3      0      0      0      0      0 #> 53       0      0      0      0      0      4      0      0      0      0 #> 54       0      0      0      0      6      0      2      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      6      0      0      0      0 #> 57       0      1      0      5      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      1      0      0      0      0      0      0 #> 61       0     11      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      7      0      0      1      7      0      0 #> 64       0      0      0      0     32      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV926 ASV927 ASV928 ASV929 ASV930 ASV931 ASV932 ASV934 ASV935 ASV936 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0    206      0      0      0      0      2      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      6      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       3      4      0      0      0      0      0      0      0     20 #> 12       0      0      0      0      0      0      0      0      5      0 #> 13     104      0      0      0      0      0      0      0      0     29 #> 14      58      0      0      0      0      0      0      0      0      7 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      8      0      0      0      0      0      0      0      1 #> 21       0      0      0      0     11      0     14      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      4      0      0      0 #> 25       1      0      0      0      0      0      0      0      0      4 #> 26       0      0      0      0     12      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0     68      0      0      0      0      0 #> 29       3      0      0      0      0      0      0      0      0      5 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      6      0      2      2 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      5      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       2      1      0      0      0      0      0      0      0     84 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      1      0     10      0 #> 47      18      7      0      0      0      0     21      0      0     39 #> 48       0      0      0      0      0      0      0      2      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0     11      0      0      6 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      4      0      0      0      0      0      0      2      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       1      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0    199      0      0    205      0      0      0      0 #> 57       0      0      0      0      0      0    134      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       1      0      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      1      0      0      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0     38      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV937 ASV938 ASV939 ASV940 ASV941 ASV942 ASV943 ASV944 ASV945 ASV946 #> 1        0      0      0      0      0      0      0      0      0    197 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0    128      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      1      0      0      0      0      0      0 #> 10       0      0      0      0      1      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      0      0 #> 12       0      0    196      0      0      2      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      1      0      0      0      0      0      0      0 #> 24      19      0      0      0      0      0      1      0      0      0 #> 25       0      0      2      0      0      0      0      0      0      0 #> 26       0      0      0      0    113      0      0      0      0      0 #> 27       0      5      0    197      8      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       2      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37      58      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0     15      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       2      0      0      0      0      0    107      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      1      0      0      0      0      0      0      0      0 #> 53       0    193      0      1      0      0      0      0      0      0 #> 54       2      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      1      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63      28      0      0      0      0      0     64      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV947 ASV948 ASV949 ASV950 ASV951 ASV952 ASV953 ASV955 ASV956 ASV957 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      7      0      0      0 #> 3        0      0      0      0      0      0     53      0      0      0 #> 4        0      0      0      0      0      0     26      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      3      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       1      0      0      0      0      0      0      0      0      0 #> 12      32      0     13      0      0      0      8      0      0      0 #> 13       0      0      0      1      0      0     77      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       4      0      2      0      0      0      0      0      0      0 #> 18      59      0      0      0      0      0      0      0      0      0 #> 19       0      0    179      0      0      0      0      0      0      0 #> 20       0      0      0    174      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       1      0      2      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      1      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42      39      0      0      0      0      0      0      0    194      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0     10      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      1      0      1      0      0      0      0      0      0 #> 51      60      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      0      0      0      0    194 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0    191      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       1      0      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV958 ASV959 ASV960 ASV961 ASV962 ASV963 ASV964 ASV966 ASV967 ASV968 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      6      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      0      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14      52      0      0      2      0      0      0      0      0      0 #> 15       0      0      0      0      0      1      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0    133      0      0      0 #> 20       0      1      0      0      0      9      0      0      0      0 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      2      0      4      0      0 #> 27       0      0      0      0      0     93      0      0     79      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       6      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      1      0      0 #> 34       0      0      0      0      0      0      0     11      0      0 #> 35       0      0      0      0      0      0      0     36      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      4      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      2      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       1      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       3      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0     34      0      0      0      0      0 #> 53       0      0      0      0      0      5      0      0      0      0 #> 54       8    191      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      6      0      0      0      0 #> 57       0      0      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      4      0      0      0      0      0 #> 61       5      0      0      0      1      0      0      0      0      0 #> 62       0      0      0      0     94      0      0      0      9      0 #> 63      20      0      0      0      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0     45      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0     98      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV969 ASV970 ASV971 ASV972 ASV973 ASV974 ASV975 ASV976 ASV977 ASV978 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2       92      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0     44      0      0      0 #> 5        0      9      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      1      0      0      0      0      0      0      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      1      0      0      0      0      0 #> 18       0      0      0      0      0      0      2      0      0      0 #> 19       0      0      0      0      5      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       4      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      3      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0    183      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      2      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      2      0      0     28      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46      11      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      9      0      0 #> 50       0      0      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      0      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      1      0      0      0 #> 61       0      0      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV979 ASV980 ASV981 ASV983 ASV984 ASV985 ASV986 ASV987 ASV988 ASV989 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      1      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        2      0      0      0      0      0      2      0      0      3 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      1      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0    176      0      0 #> 11       0      0      0      0      5      0      0      0      0      0 #> 12       0      0      0      0      0      0      0      0      0      3 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0     83      0      0      0      0      0      0      0      3 #> 18       0     23      0      0      0      0      0      0      0      6 #> 19       0     70      0      0      0      0      0      0      0      1 #> 20       0      0      1      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0      0      0      1 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0      2 #> 25       0      0      0      1      0      0      0      0      0      0 #> 26       0      0      1      0      0      0      0      0      0      0 #> 27       0      0    112      2      7      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      3      0      1      0      0      0      0      0     24 #> 38       0      0      0      0      0      0      0      0      0     16 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      2      9 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0    135      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49     164      0      0      0      0      0    160      0      0      0 #> 50       0      0      0      0      1      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      2 #> 52       0      0      0      2      0      0      0      0      0      0 #> 53       0      0      3    163      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      2 #> 56       0      0      2      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0      0     18      0 #> 58       7      0      0      0      0      0      4      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      1      0      0      0 #> 61       0      0      0      0      0      0      2      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       7      0      0      0      4      0      9      2      0      0 #> 69       0      0      0      0    136      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV990 ASV992 ASV993 ASV994 ASV995 ASV996 ASV997 ASV998 ASV999 ASV1000 #> 1        0      0      0      0      0      0      0      0      0       0 #> 2        0      0      0      0      0      0      0      0      0       0 #> 3        0      0      0      0      0      0      0      0      0       0 #> 4        0      0      0      0      0      0      0      0      0       0 #> 5        0      0      0      0      0      0      0      0      0       0 #> 6        0      0      4      0      0      0      0      0      0       0 #> 7        0      0      0      0      0      0      0      0      0       0 #> 8        7      0      0      0      0      0      0      0      0       0 #> 9        0      0      0      0      0      4      0      0      0       0 #> 10       0      0      0      0      0      0      0      0      0       0 #> 11       0      0      0      0      0      0      0    173      0       0 #> 12       0      0      0      0      0      0      0      0      0       0 #> 13       0      0      0      0      0      0      0      0      0       0 #> 14       0      0      0      0      0      0      0      0      0       0 #> 15       0      0      0      0      0      0      0      0      0       0 #> 16       0      0      0      0      0      0      0      0      0       0 #> 17       0      0      0      0      0      0      0      0      0       0 #> 18       0      0      0      0      0      0      0      0      0       0 #> 19       0      0      0      0      0      0      0      0      0       0 #> 20       0      0      0      0      0      0      0      0     84       0 #> 21       0      0      0      0      0      0      0      0      0       0 #> 22       0      0      0      0      0      0      0      0      0       0 #> 23       0      0      0      0      0      0      0      0      0       0 #> 24       0      0      0      4      0      0      0      0      0       0 #> 25       0      0      0      0      0      0      0      0      0       0 #> 26       0      0      0      0      0      0      0      0      0       0 #> 27       0      0      0     27      0    146      0      0     13       0 #> 28       0      0      0      0      0      0     11      0      0       0 #> 29       0      0      0      0      0      0      0      0      0       0 #> 30       0      0      0      0      0      0      0      0      0       0 #> 31       0      0      0      0      0      0      0      0      0       0 #> 32       0      0      0      0      0      0      0      0      0       0 #> 33       0      0      0      0      0      0      0      0      0       0 #> 34       0      0      0      0      0      0      0      0      0       0 #> 35       0      0      0      0      0      0      0      0      0       0 #> 36       3      0      0      0      0      0      0      0      0       0 #> 37       0      0      0      1      0      0      0      0      0       0 #> 38       0      0      0      0      0      0      0      0      0       0 #> 39       1      0      0      0      0      0      0      0      0       0 #> 40       0      0      0      0      0      0      0      0      0       0 #> 41       0      0      0      0      0      0      0      0      0       0 #> 42       0      0      0      0      0      0      0      0      0       0 #> 43       0      0      0      0      0      0      0      0      0       0 #> 44       0      0      0      0      0      0      0      0      0       0 #> 45       0      0      0      0      0      0      0      0      0       0 #> 46       0      0      0      0      0      0      0      0      0       0 #> 47       0      0      0      0      0      0      0      0      0       0 #> 48       0      0      0      0      0      0      0      0     23       0 #> 49       0      0      0      0      0      0      0      0      0       0 #> 50       0      0      0      0      0      0      0      0      0       0 #> 51       0      0      0      0      0      0      0      1      0       0 #> 52       0      0      0      0      0      0      0      0      0       0 #> 53       0      0      0      0      0      0      0      0      0       0 #> 54       0      0      0      0      0      0      0      0      0       0 #> 55       0      0      0      0      0      0      0      0      0       0 #> 56       5      0      0      1      0      0      0      0      0       0 #> 57       0      0      0      0      0      0      0      0      0       0 #> 58       0      0      0      0      0      0      0      0      0       0 #> 59       0      0      0      0      0      0      0      0      0       0 #> 60       0      0      0      0      1      0      0      0      0       0 #> 61       0      0      0      0      0      0      0      0      0       0 #> 62       0      0      0      0      0      0      0      0      0       0 #> 63       0      0      0      0      0      0      0      0      0       0 #> 64       0      0      0      0      0      0      0      0      0       0 #> 65       3      0      0      0      0      0      0      0      0       0 #> 66       0      0      0      3      0      0      0      0      0       0 #> 67       0      0      0      0      0      0      0      0      0       0 #> 68       0      0      0      0      0      7      0      0      0       0 #> 69       0      0      0      0      0      0      0      0      0       0 #> 70       0      0      0      0      0      0      0      0      0       0 #>     ASV1001 ASV1002 ASV1003 ASV1004 ASV1005 ASV1006 ASV1007 ASV1008 ASV1010 #> 1         0       0       0       1       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0      68       0       8 #> 5         0       0       0       7      61       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        5       0       0       1       0       0       0       0       0 #> 12        2       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       3       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       4       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20       38       0       0       0       0       0      19       0       0 #> 21        1       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24       50       1       0       4       0       0       3       0       0 #> 25        2      25      93       0       0       0       0       6       0 #> 26        0       0       0       1       0       0       0       0       0 #> 27        0       0       0       1       0       0       0       0       0 #> 28        0       0       0     126      45       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       1       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       1       0       0       0       0       0 #> 37        0      36       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       4       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        1       1       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0      95       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       2       0     143 #> 50        1       0       0       0       0       0       1       1       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        1       1       0       0       0       0       0       0       0 #> 53        0       0       0       0       0     109       0       0       0 #> 54        0       0       0       0       0       3       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       7       0       1       0       0 #> 58        0       0       0       0       0       0       0       0      13 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       2       0      10       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0      10       0       4 #> 63        4       0       0       0       0       0       1       9       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       1       4       1       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       1 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1011 ASV1013 ASV1014 ASV1015 ASV1016 ASV1017 ASV1018 ASV1020 ASV1021 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       3       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       1      14       0       0       0       0 #> 5         5       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       1       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       2 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0      35       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       3       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        1       0       0       0       0       0       4       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       8       0       0 #> 25        0       0       0     165       0       0       2       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       2       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       4       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        4       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       1       0 #> 42        0       0       0       0      46       0       0       0       0 #> 43        0       0       0       0       0       0       0       1       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0     163       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       2       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       4       0       0 #> 51        0       0       0       0       0       0       2       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        4       0       0       0       0       0       0       0     165 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0      14       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       4       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       6       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       3       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0      80       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1022 ASV1023 ASV1024 ASV1025 ASV1026 ASV1027 ASV1028 ASV1029 ASV1030 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0      26       0 #> 3         0       0       0       0     161       0       0       0       0 #> 4         0       0       0       0       0       1       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0      88       0       3 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11       14       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       5       0       0 #> 13       23       0       0       0       0       0       0       0       0 #> 14        2       0       0       0       0       0       0       1       0 #> 15        2       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        2       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       3 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        4       0       0       0       0       0       0       0      57 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        1       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       4       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42       29       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47       48       0       0       0       0       0       0       0      20 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        9       0       0       0       0       0       0       0       2 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0      32       0       2       6 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       1       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0     160       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       2 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       2       5       8       0 #> 61        0       0       0       0       0       1       0       0       0 #> 62        0       0       0       0       0      40       2       0       0 #> 63        5       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1031 ASV1032 ASV1033 ASV1035 ASV1036 ASV1037 ASV1038 ASV1039 ASV1040 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0      25       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       2       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        1       0       0       0       1      23       0       0       0 #> 12        0       1     164       0       0       0       3       1       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       2       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0      14      65       0 #> 21        2       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        1      33       0       0       0       0       0       0       0 #> 27        0       3       0       0       0       0       0       0       0 #> 28        1      28       0       0       1       0       0       0     145 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       2       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34       45       0       0       0       0       0       0       0       3 #> 35        0       0       0       0       7       0       0       0       0 #> 36        0      38       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       1       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       4       1       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0      87       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0      29       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       5       0       0       0       0 #> 66        5       5       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       3       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1041 ASV1042 ASV1044 ASV1045 ASV1046 ASV1047 ASV1048 ASV1049 ASV1052 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0      12       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       3       0       0       0       2       0       0       6 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       2       0       0       3 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       8       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0      11       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       4       0       0       0       6       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0      37       0       0       2       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       3       0       0       0       3       0       0       1 #> 34        0      15       0       0       0      17       3       0      11 #> 35        0      29       0       0       0      29       0       0      21 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       6       0       0       0       5       0       0       6 #> 40        0       8       0       0       0      11       0       0      25 #> 41        0       9       0       0       0       7       0       0      14 #> 42        0       0       0       0       0       0       0       1       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49      147       0       0       0       0       0       0       0       0 #> 50        0       0       0       0      12       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0      98       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0      48       0       0       0       0 #> 58        0       0       0       0       0       1       0       0      11 #> 59        0       0       0       0       0       0       0       0       6 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       5       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1053 ASV1055 ASV1056 ASV1057 ASV1058 ASV1059 ASV1061 ASV1062 ASV1063 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       3       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0      97       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0      40      38       0       0       0 #> 14        0       0       0       0       0       2       0       0       0 #> 15        0       0       0       0       1       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       1      14       0       0       0 #> 21        0       0       0       0       0       0       0       0       4 #> 22        0       0       0       2       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0      13 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       3 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       3       0       0       0       0       0 #> 34        0       0       0      14       0       0       0       0       0 #> 35        0       0       0      41       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       1       6       0       0       1 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       2       0       0       0       0       0 #> 40        0       0       0      10       0       0       0       0       0 #> 41        0       0       0       3       0       0       0       0       0 #> 42        8       0       0       0       5       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       5       0       0       0 #> 47        0       0       0       0       0       1       0       0      10 #> 48        0       0       0       0       0       0       0       0       2 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       1       0       0       0      11 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0      38       0       0       1 #> 53        0       0       0       0       0       0       0       0       0 #> 54      146       0       0       0       0       1     158       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       1 #> 58        0       0       0       2       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       2       4       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        1       0       0       0       2       2       0     158       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1064 ASV1065 ASV1066 ASV1067 ASV1068 ASV1069 ASV1070 ASV1071 ASV1072 #> 1         0       1       0       0       0       0       0       0       0 #> 2         0       4       1       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       2       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       8       0       0       0       0     153       0       0 #> 8         0       0       0       0       0       0       0       3       0 #> 9         0       0       0      12       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       4       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       6       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0     122       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       5       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       2       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       7       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       2       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       1       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0     142       0       0       0       1       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       8       0       0       0       0 #> 58        0       0       0       0       0       0       0       0      29 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0      63       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0      21       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1073 ASV1074 ASV1076 ASV1078 ASV1079 ASV1081 ASV1082 ASV1084 ASV1085 #> 1         9       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       1       0       0       0       0       0       0       0 #> 4         0       2       0      10       0       0       4       0       3 #> 5        10       0       4       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       3       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       1       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       1       0       1       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       1       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       7       0       0       0       0       0     145       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       5       0       0       0       0       0       0       2 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0      35       0       0       0       0 #> 29        0       1       0       0       0       0       0       0       5 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       2       0       0       0       0       0       0 #> 37        4       0       0       0       0       0       0       0       0 #> 38        0       0       0       0      66       0       0       0       0 #> 39        0       0       2       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        1       0       3       0       0       0       0       0       0 #> 42        0       1       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       3 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0      14 #> 49        0       0       0       9       0       0       0       0       0 #> 50        0      14       0       0       0       0       0       0      65 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       2       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       5       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       5       0       0       0       0       0       0 #> 57        0       1       0       0       0       0       0       0       0 #> 58        0       0       0       8       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0      99       0       0      10       0       0 #> 61        0       0       0      20       0       0      75       0       0 #> 62        0       2       0       2       0       0      20       0       0 #> 63        0      64       0       0       0       0       0       0       0 #> 64        0      28       0       0       0       0       0       0       0 #> 65        0       0       1       0       0       0       1       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1086 ASV1087 ASV1089 ASV1090 ASV1091 ASV1092 ASV1093 ASV1095 ASV1096 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0      31       0 #> 3         0       0       0       0       0     146       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         3       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       3       0       0       0       0       3 #> 14        0       0       0      63       0       0       0       0       7 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0      80       0       0       0       0       0       0       0 #> 18        0      35       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        8       0       0       1       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26       41       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0      28       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34       37       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       2 #> 38        0       0       0       0       0       0       0       0       0 #> 39        2       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       2       0       0       0       5 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0      96       0 #> 47        0       0       0      20       0       0       0       0      20 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0      17       0       0       0       0       1 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       1 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       1       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       6       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0      10       0       0       0       0     145       0       0 #> 62        0       0       0       0       0       0       1       0       0 #> 63        0       0       0       0       0       0       0       0      97 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66       10       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1097 ASV1098 ASV1099 ASV1100 ASV1101 ASV1102 ASV1103 ASV1104 ASV1105 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       1       0       0       0       0       0 #> 3         0       0       0       1       0       0       0       0       0 #> 4         0       0       0       2       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0      30       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       2       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0     144       0       0       0 #> 21        0       0       0       0       0       0       0       0       1 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       4       0       0 #> 27        5       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0     142 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       2       0       0 #> 34        0       0       0       0       0       0       2       0       0 #> 35        0       0       0       0       0       0      24       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       1       0       0       0       0 #> 38      110       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       9       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0     145       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0     106       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0      15       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1107 ASV1108 ASV1109 ASV1110 ASV1111 ASV1112 ASV1114 ASV1115 ASV1116 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       1       0       0       0       0       0       0       0 #> 4         0       1       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       1       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       1       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       4       1       1       0       0       0       1 #> 12        1       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       1       0       0       0       0       0       0       0 #> 17        0       3       0       0       0       0       0       0       0 #> 18        0       2       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       1       0       0       0       0       0 #> 25        0       0       0       6       0       0       1       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       2       8       0       0       4       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0      10       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       3       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0      77       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       3       0       0       0 #> 40        0       0       0       0       0      10       0       0       0 #> 41        0       0       0       0       0       3       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       9       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       1       0       5       0       0       0       0       0 #> 53        0       0       0      82      36       0       0       0       0 #> 54        0       0       0       0       0       0     132       0       0 #> 55        0      33       0       0       0       0       0       0       0 #> 56        0       0       0       8       0       0       0       0       0 #> 57        0       5       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       1       0       0       7       0       0       0 #> 60        0       1       0       0       0       0       0       0       0 #> 61        0       0       0       0       2       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       1       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       8       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       2       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1117 ASV1118 ASV1120 ASV1121 ASV1122 ASV1124 ASV1125 ASV1126 ASV1127 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       6       0 #> 5         0       0       0       0       0       0       0       0       1 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       1 #> 12      140       0       0       0       0     139       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0     140       0       0       0       0       0       1       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       4       0       0 #> 28        0       0      64       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       5       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0     134       0       0 #> 54        0       0       0      62       0       0       0       0     136 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       1       0       0       0     102       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0      11       0 #> 61        0       0       0      18       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0      26       0       0       0       0 #> 66        0       0       9       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1128 ASV1129 ASV1131 ASV1132 ASV1133 ASV1134 ASV1135 ASV1137 ASV1138 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0      32       0       0       0       0       1      24 #> 5         0       0       0       0       0       0       0       0       0 #> 6         5       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         2       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0     136       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       1       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       2       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       1 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        3       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0     133       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0      16       0 #> 28        0       0       0       0       0       0       3       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        9       0       0       0       0       0       0       0       0 #> 34        9       0       0       0       0       0       0       0       0 #> 35        2       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       1       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        8       0       0       0       0       0       0       0       0 #> 40       13       0       0       0       0       0       0       0       0 #> 41       13       0       0       0       0       0       0       0       0 #> 42        0       9       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0      56 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0     101       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       1       0       0       0 #> 51        0       0       0       0       0       0     134       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       1       0       0       0       0       0       0       0 #> 58        6       0       0       0       0       0       0       0      12 #> 59        9       0       0       0       0       0       0       0       0 #> 60        0       0      14       0       0       0       0      91       0 #> 61        0       0       0       1       0       0       0       3       0 #> 62        0       0      65       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        3       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        2       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1139 ASV1141 ASV1143 ASV1144 ASV1146 ASV1147 ASV1148 ASV1150 ASV1151 #> 1         0       0       0       0       0       0       0       0      11 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       4       0       0       0       0       4 #> 6         0       0       0       0       0       0       0       0       0 #> 7        55       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0     132       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       1       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0     130       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       1       0       0       0 #> 37        4       0       0       0       0       0       0       0       6 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       1 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0     132       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        5       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        4       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0      12       0       0 #> 54        0       0     131       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       1 #> 57       15       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       2       0       0       0     124       0 #> 60       16       0       0       0       0       0       0       0       0 #> 61        4       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0     113       0       0       0       1       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       9       0 #>     ASV1152 ASV1154 ASV1155 ASV1156 ASV1157 ASV1158 ASV1159 ASV1160 ASV1161 #> 1         0       0       0       0       0       0       0       0       0 #> 2        83       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         1       0       7       0       0       4       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       1       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       1       0       5       0 #> 12        0       0       0       5       0       0       0       1       0 #> 13        0     115       0       0       0       0       0       0       1 #> 14        0       0       1      14       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0      18       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       6       0       0 #> 26        0       0       0      20       0       0       0       0       0 #> 27        0       0       0       0       0       0      95       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        1       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0      94       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       2       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       5       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       8 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       5       0       0       0       0       0 #> 53        0       0       0       1       0       0      22       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       1       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0      12       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       6       0       0 #> 62       43       0       0       0       0       0       0       0       0 #> 63        0       0       0       1     132       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       2 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0      11       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1162 ASV1163 ASV1164 ASV1165 ASV1166 ASV1167 ASV1168 ASV1169 ASV1171 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0     129       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       2       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0      60 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0      41       0       0       0       0       0       0       0 #> 12        0       0      10       0       0       3       0       0       1 #> 13        0      25     117       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       1       0       0 #> 20        0       0       0       7       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       6       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       1       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       4 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       1 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       8       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0      67       0       0       0 #> 54      120       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0      38       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0      58       0       0       0       0       0       0       0 #> 62        0       0       0       0       0      18       0       0       3 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0     123       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1172 ASV1173 ASV1174 ASV1175 ASV1176 ASV1177 ASV1178 ASV1179 ASV1180 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       9       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        1       0       0       3       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13       49       0       0       0       0       0       0       0       0 #> 14       49       0       0       0       1       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       1 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       1       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       3       0       1       0       0      41 #> 21        0       0       0       0       0       0       0      35       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       7       0       6       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0      31       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       1       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        1       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       1       0       0       0 #> 53        0       0       0       0       7       0       0       0       0 #> 54        1       0       0       0       0       0       0       0      65 #> 55        0       0       0       0       0       0     127       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       1 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       2 #> 62        0       0       0       0       0       0       0       0       0 #> 63        1       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       3       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1181 ASV1182 ASV1184 ASV1185 ASV1186 ASV1187 ASV1188 ASV1189 ASV1190 #> 1         0     114     120       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0      13       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0      37       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0      29       0       0       0       0 #> 12        0       0       0       1       0     100       0       0       0 #> 13        0       0       0       1       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       1       0       0       0 #> 18        0       0       0       0       0       7       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0      10 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       1       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0      10       0       0       0       0 #> 28      126       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       1       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       7       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       1 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       6       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0      10       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       1       0       0       0       2       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       3       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0      14     111 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0      21       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1192 ASV1193 ASV1194 ASV1195 ASV1197 ASV1198 ASV1199 ASV1200 ASV1203 #> 1         5       0       0       0       0       0       0       0      88 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       4 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       2       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       2       0       0       0 #> 11        3       0       0       0       0       0       0       0       1 #> 12        0       0       0       0       0       0     118       0       1 #> 13        3       0       0       0       0       0       0       0       3 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        5       0       0       0       0       0       0      92       0 #> 17        0       2       0       0       0       0       0       0       1 #> 18        0       0       0       0       0       0       0       0       3 #> 19        0     115       0       0       0       0       0       0       0 #> 20        4       0       2       0       0       0       3       0       0 #> 21       11       0       4       0       0       0       0       0       0 #> 22        0       0       0       0       0       3       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24       13       0       0       0       0       0       0       0       2 #> 25        3       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        6       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       3       0       0       0 #> 31        0       0       0       0       0       7       0       0       0 #> 32        0       0       0       0       0       2       0       0       0 #> 33        0       0       0       6       0       2       0       0       0 #> 34        0       0       0      27       0       9       0       0       0 #> 35        0       0       0      79       0       1       0       0       0 #> 36        0       0       0       0       0       2       0       0       0 #> 37        0       3       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0      29       0 #> 39        0       0       0       0       0       6       0       0       0 #> 40        0       0       0       0       0       8       0       0       0 #> 41        0       0       0       0       0       7       0       0       0 #> 42        2       0       0       0       0       0       0       0       1 #> 43        0       0       0       0       0       4       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       1       0       0       0 #> 57       25       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       3       0       0       1 #> 59        0       0       1       0       0       2       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0      57       0       0       0       0       0       0 #> 64        9       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1204 ASV1205 ASV1206 ASV1207 ASV1208 ASV1209 ASV1210 ASV1211 ASV1212 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7        31       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0      93       0 #> 13        0       0       0       0       0       0       0       0       1 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       9 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       1       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       2       0       0       0       0 #> 25       28      43       0       0       0       0       0       0       8 #> 26        0       0       3       0       0       0       0       0       0 #> 27        0       0      11       0       0       0       0       0       1 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       7       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37       55       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0      11       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0     118       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       1       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1213 ASV1214 ASV1215 ASV1216 ASV1217 ASV1218 ASV1219 ASV1221 ASV1223 #> 1         0       0       0       6       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       3       0       0       0       0 #> 5         0       0       0      48       0       0       0       0       1 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       1       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       2       0       0       5       0       1 #> 12        0       0       0       0       0       5       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0      17       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        5       0       0       1       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       4       0 #> 26        0       0       0       1       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       1       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        3       0       0       1       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0      13       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       2       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       4       0       0 #> 55        0       0       0       0       0       0       0     105       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0     117       0       0       0       0       0       4       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       2       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       1 #> 66        1       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1224 ASV1225 ASV1226 ASV1227 ASV1228 ASV1229 ASV1230 ASV1231 ASV1232 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       3       0       0 #> 3         0       0       0       0       0       0       0       2       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       1       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       1 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       2       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        5       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       8       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        1       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24       35       0       0       0       0       0       1       0       0 #> 25        1       0       0       0       0       0       0       7       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       6       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       4       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0      80       0       0       0       0       7       0       0 #> 48        0       0       0       0       0       0       2       4       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        5       0       0       0       0       0      35      37       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       1 #> 54        0       0       0       0       0       0       0       9       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0      94       0       0       0       0       0 #> 57       13       0       0       0      95       0      10       0       0 #> 58        0       0       0       0       0       0       0       0       1 #> 59        0       0       0       5       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       1 #> 61        0       0       0       0       0       0       1       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        3       0       0       0       0       0      13       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       2 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1233 ASV1234 ASV1235 ASV1236 ASV1238 ASV1239 ASV1241 ASV1242 ASV1243 #> 1         0       0       0      11       0       0       0       6       0 #> 2         0       0       0       0       1       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0      47       0       0       0       0       1 #> 6         0       0       0       0       0       1       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11       34       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0      26       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        4       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0      24       0       0       0 #> 27        0       0       0       0       0       0       0       0       4 #> 28        0       0       0       2       0       0       0       0       1 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0      23       0       0       0 #> 35        0       0       0       0       0       0       0       0       2 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0      53       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        4       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       1       0       0       1       0       0       0       0 #> 51        0       0       0       0       0       0       0     105       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       3       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        3       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       6       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0     100       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        2       0       0       1       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1245 ASV1246 ASV1247 ASV1251 ASV1252 ASV1253 ASV1254 ASV1255 ASV1257 #> 1         0       5       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       2 #> 4         0       0       1       0       0       0       0       0       0 #> 5         0       5       2       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0      10       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0      58       3       0       0       0 #> 12        0       0       0       0       0       0       2       0       0 #> 13        0       0       0       0      40       2       0       0       0 #> 14        0       0       0       0       0       0       3       0       0 #> 15        0       0       0       0       1       8       0       0       0 #> 16        0       0       0       0       0       0       0       0      67 #> 17        0       0       0       0       0       0       0       0      11 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       1 #> 20        0       0       0       0       0       9       0     109       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       1       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28       36       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       9       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        2       0       0       0       0       0       0       0       0 #> 37        0       1       0       0       0       3       8       0       0 #> 38        0       0       0       0       0       0       0       0       3 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0      21       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48       12       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       1       0       0       0      11 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0      18       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       2       0       0 #> 55        0       0       0       0       0      67       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       1       0       0       0       0       0       0 #> 61        0       0       0       0       7       0       0       0       0 #> 62        0       0      66       0       0       0       0       0       0 #> 63        0       0       0       0       1       0       0       0       0 #> 64        1       0       0       0       0       1       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1258 ASV1259 ASV1260 ASV1261 ASV1262 ASV1263 ASV1264 ASV1265 ASV1266 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       1       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       7       0       0       0       0 #> 5         0       0       0       0       0       1       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         1       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        1       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0      12       0       0      85       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       2       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        7       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        2       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       5       0      15       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       2       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0      20       0 #> 39        0       0      23       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       1       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0      33       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       6       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        1       0      10       0       0       0       0       0       0 #> 57        0       0       0       2       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0      99       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       9       0       0       0      91       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1267 ASV1268 ASV1269 ASV1270 ASV1271 ASV1272 ASV1273 ASV1274 ASV1275 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         4       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0      29 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0      10 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       1       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       3       2       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0      84       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       9       0       0       0       0       0       0 #> 20        0      89       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       1 #> 27        0       1       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0      12 #> 37        0       0       0       9       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       5       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       1       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0      70     102       0       0       0       0 #> 50        2       0       0       0       0       2       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       4       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       3       1       0       0       0       0 #> 57        0       0       0      10       0       2       0       0       0 #> 58        0       0       0       0       1       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62       89       0       0       1       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       1       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       2       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1276 ASV1278 ASV1279 ASV1280 ASV1281 ASV1282 ASV1283 ASV1284 ASV1285 #> 1         0       1       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0      21       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       2       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        5       2       0       0       0       0       0       0       0 #> 17        0       0       2       0       0       0       0       0       0 #> 18        0       0      13       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0      32       0       0       0       0       0       0       0 #> 25        1       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0     104       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0     104       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       1       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       4      57       0       0       0       0       0       0 #> 43        0       0       0       0       0       1       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       1       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       4       0       0 #> 51        0       6       8       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0      82       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0     102 #> 56        0       0       0       0       0       5       0       0       0 #> 57        0       2       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       1       0       0       0 #> 60        0       0       0       0       0       0       0       1       0 #> 61        0       0       0       0       0       0       0       1       0 #> 62        0       0       0       0       0       0      99       1       0 #> 63        0       2       0       0       0       0       0       0       0 #> 64        0       4       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1286 ASV1287 ASV1288 ASV1289 ASV1290 ASV1291 ASV1293 ASV1294 ASV1295 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       2       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       1       0       0 #> 13        0       0       0       0       0       0       1       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0      18       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       1       0       0 #> 19        0       0       0       0       0       0       1       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0      98       0       0       0       4       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0      67       0       0       0       0       0 #> 27        0       0       0       0       1       0       0       0       0 #> 28        0       2       0       0       1       0       0      70       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       5       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0     102 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       2       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0      17       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       3       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       1       0       0      31       0       0 #> 57        1       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       2       0       0 #> 60        0       0       0       0       0       0       4       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0      23       3       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0      91       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1296 ASV1297 ASV1298 ASV1300 ASV1301 ASV1302 ASV1303 ASV1304 ASV1305 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       1       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       2       3       0       0       0       0 #> 12        0       0       0       0       0       1       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       1       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       4       0       0 #> 26        0       0       0       0       0       0       0       6       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       5       0 #> 29        0       0       0       0       0      18       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       1       8       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       2      21       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       1       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       3       0       0     100 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61       25       0       0       0       0       2       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0      19       0       0       0       0       1       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       7       0       1       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1307 ASV1310 ASV1311 ASV1312 ASV1313 ASV1314 ASV1315 ASV1316 ASV1317 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0      59       0       0       0       0       0       0       0 #> 4         0       7       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0      12       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0      58       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0      70       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0      97       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       3       0       0 #> 17        0       1       0       0       0       0       0       0       0 #> 18        0      25       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       2       0       0 #> 21        0       0       0       0       0       0       7       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       8       0       0 #> 25        0       0      15       0       0       0      12       0       0 #> 26        0       0       0       0       3       0       0      63       0 #> 27        0       0       4       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       8       0 #> 35        0       0       0       3       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       1       0       0 #> 38        0       0       0       0       0       0       0       0       1 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       1       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       3       0       0       0       1       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       2       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57      100       0       0       0       0       0       3       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       1       0       0       0       0       7 #> 60        1       0       1       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       7       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1319 ASV1320 ASV1321 ASV1322 ASV1323 ASV1324 ASV1325 ASV1326 ASV1327 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         1       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0      91       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       7       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       1 #> 12        0       0       3       0       0       0       0       0       0 #> 13        0       0       7       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       4       0 #> 18        0       0       0       0       0       0       0       2       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        5       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       2       0       0       0       0       0       0 #> 25        0       0       5       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0      34 #> 27        0       0       2       0       0       0       0       0       0 #> 28        0       0       0      99       0       0       0       0       0 #> 29        0       0       1       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       2 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       2       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       1       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       1 #> 40        0       1       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       4       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        4       0       0       0      46       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0      29       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0      10       0       1       0       0      23       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       1       0       1       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       1 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1328 ASV1330 ASV1331 ASV1332 ASV1333 ASV1334 ASV1335 ASV1336 ASV1337 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       4       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       1       0       0       0       0       0 #> 12        0       0       0       0       0       0       1       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0      19       0       0 #> 15        0       0       0       0       0       0       0      10       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       1       0       0       0       0       0 #> 19        0       0       0       0       0       0       1       0       0 #> 20       16       0       0       0       0       0       0       1       0 #> 21        0       0       0       0       0       0       0       0       1 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       1       0       0       0       0       1 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       1       0 #> 27        0       0       0       0       0       6       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       2       0       0       3       0       0 #> 38        0      97       0       0       0       0       0       0      11 #> 39        0       0       0       0       0       4       0       0       0 #> 40        0       0       0       0       0       6       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       2 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        2       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       4       0       0       0       0       0 #> 50        0       0       0       0       0       0       1       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       2       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       2       0 #> 55        0       0       0       0       0       0       0       0       7 #> 56        0       0       0      15       0       0       0       0       0 #> 57        0       0       0       2       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       1       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       1       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       2       0       0       0       0       0 #> 64        0       0       0       0       0       0       0      31       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       1       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68       15       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1338 ASV1340 ASV1341 ASV1342 ASV1344 ASV1345 ASV1349 ASV1350 ASV1351 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0      13       0       5       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       2       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0      26       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       1       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       1       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0      19       0       0       0       0       0       0       0 #> 25        0      20       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       6       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0      11       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       1       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0      85 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       2       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        2       0       0       0       0       0       0       8       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0      32       0       0       0 #> 60        0       0       0      59       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       8       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       1       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0      19       0       0       0 #>     ASV1352 ASV1353 ASV1354 ASV1355 ASV1356 ASV1358 ASV1359 ASV1360 ASV1361 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0      92       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0      46       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0      91       0       0       0       1       0 #> 12        0       0       0       0       3       0       1       0       1 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0      17       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       9       0       0 #> 17        0       0       0       0       1       0       0       0       0 #> 18        0       0       0       0       1       0       0       0      89 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0      17       0       0 #> 25        0       0       0       0       0       0       2       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       3       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       1 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       2       0       0       0       0 #> 45        0       0       0       0      58       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       1       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       2       0       0 #> 51        0       0       0       1       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       8       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59       11       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       1       0       0 #> 61        0       1       0       0      27       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       2       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1362 ASV1363 ASV1364 ASV1365 ASV1366 ASV1367 ASV1368 ASV1369 ASV1370 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       1       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       1       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       1       0       1       0       0       0 #> 8         0       0       0       0       0       0      51       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0      89       0       0       0 #> 11        0       0       0       0      29       0       0       6       0 #> 12        0       0       0       0       0       0       0       1       0 #> 13       46       0       0       0       0       0       0       0       3 #> 14       38       0       0       0       0       0       0       0       3 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       1       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0      18      62 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       5       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       1       0       0       0       0       0 #> 25        0      89       0       0       1       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0      36       0       0       0       0 #> 28        0       0       0       2       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       1       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       1       0       0       0       1       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0      19       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0      18       0       0       0       0       5 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       1       1       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       2       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        1       0       0       0       1       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       1       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       1       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       7       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1371 ASV1372 ASV1373 ASV1374 ASV1375 ASV1376 ASV1377 ASV1378 ASV1379 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0      38 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        1       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        5       1       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27       81       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0      33       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0      69       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0      38       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0      16       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       4       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       3       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0      22       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       1       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1380 ASV1381 ASV1384 ASV1385 ASV1386 ASV1387 ASV1388 ASV1389 ASV1390 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0      29       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0      87       0       0      81       0       0       0 #> 13        0       0       0       0       0       0       1       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0      59       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        1       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       1       0       0       1       0       0       0 #> 21        0       0       0       0       2       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        3       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       1       0       0       0       0       0      22       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        1       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0      82       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       1       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54       74       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       1       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       2       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0      36       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1392 ASV1393 ASV1394 ASV1395 ASV1396 ASV1397 ASV1398 ASV1399 ASV1400 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       7       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        2       0       0       0      12       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       7       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       4       1       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       8       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       6       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0      76       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       1       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       4       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       8       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0      81 #> 57        0       0       0       0       0       4      22       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       1       0       0       2       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       3       0       0       2       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1401 ASV1402 ASV1403 ASV1404 ASV1405 ASV1406 ASV1407 ASV1408 ASV1409 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0      84       0       0       0       0       0       0       4 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0      14 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       2 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0      14       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       2 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0      24       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       1 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       3 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0      84       0       0       0       0 #> 50        0       0       0       0       0      11       0       0       1 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0      24       0       0       0       0       0       1 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       2 #> 61        0       0       0       0       0       0      84       0       0 #> 62        0       0       0       0       0      37       0       0       0 #> 63        0       0       0       0       0       0       0      83       2 #> 64        0       0       0       0       0      32       0       0       1 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1410 ASV1412 ASV1413 ASV1414 ASV1415 ASV1416 ASV1417 ASV1418 ASV1419 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0      11       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6        13       0       0       0       0       0       0       0       4 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       5       0       0       0       0       0 #> 16        0       0       0       0       0       0       0      55       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       1 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0      68       0       0       0       0 #> 30       21       0       0       0       0       0       0       0       0 #> 31        4       0       0       0       0       0       0       0       0 #> 32        6       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0      48 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       7 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0      10       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       3       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63       11       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0      17       0       0       0       0       0       0       1 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1420 ASV1421 ASV1422 ASV1423 ASV1424 ASV1425 ASV1426 ASV1427 ASV1428 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       1       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8        70       0       0       0       0       0       0       2       0 #> 9         0       3       0       0       0       0       0       0       9 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       1       2       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       8       0       0       0       0       0       0       0 #> 14        0       7       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0      38       0       0       0       0       1 #> 22        0       0       0       0       0       0       0       1       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       1       0       0       0       0       0       0      22 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       2 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       4 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       5       0 #> 34        0       0       0       0       0       0       0       8       0 #> 35        0       0       0       0       0       0       0       9       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       3       0       0       0       0       0       0      19 #> 38        0       0       0       0      53       0       0       0       0 #> 39        0       0       0       0       0       0       0       2       0 #> 40        0       0       0       0       0       0       0       6       0 #> 41        0       0       0       0       0       0       0       4       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       1 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        5       0       0       7       0       0       0       0       0 #> 48        0       5       0       0       0       0       0       0       2 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       3 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0      26       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       3       0       0       0       0       0       0       2 #> 58        6       0       0       0       0       0       0       2       0 #> 59        0       0       0       0       0      24       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       1       0       0       0       0       0       0       2 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       3       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1430 ASV1432 ASV1433 ASV1434 ASV1435 ASV1436 ASV1437 ASV1438 ASV1442 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0      12       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       1       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        1       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       3       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0      34       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0      28       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0      75       8       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       2       0 #> 29        0       0       0       1       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0      19       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0      59 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49       76       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       1       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       1       0       0 #> 60        0       0       0      19       0       0       0       0       0 #> 61        0       0       0       0      57       0       0       0       0 #> 62        0       0       0       9       0       0       0       0       0 #> 63        0       0       0       5       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0      45       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1443 ASV1444 ASV1447 ASV1448 ASV1449 ASV1450 ASV1451 ASV1452 ASV1453 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       2       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0      19       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       4       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        2       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0      78       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24       14       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       1       0      77       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        1       0       0       0       1       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0      23       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        5       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        1       0       0       0       0       0       0       0      77 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        4       0       0       0       0       0       0       0       0 #> 52        1       0       0       0       0       0       0       1       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0      52       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        8       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1454 ASV1455 ASV1456 ASV1457 ASV1458 ASV1459 ASV1460 ASV1461 ASV1462 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0      73       0       0       0       0 #> 4         0       0       0       0       3       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0      48       0       0       0 #> 13        0       0       0       0       0      16       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0      14      72       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       3       0       0      13 #> 21        0       0       0       0       0       0       0       0       4 #> 22        0       0       0       0       0       3       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       4 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       9 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       3 #> 45        0       0       0       0       0       0       0       0       0 #> 46        5       0       0       0       0       0       0       1       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       2 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       9 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       3       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       6 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1463 ASV1465 ASV1466 ASV1467 ASV1468 ASV1469 ASV1470 ASV1471 ASV1472 #> 1         0       0       8       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       4       0       0       0       0       0 #> 5         0       0       2       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       5       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0      35       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0      75      75       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        1       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34       46       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0      71 #> 37        0       0       2       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       1       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       6       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       1       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       4       0       0       0       0       0 #> 61        0       0       0      56       0       0       0       0       0 #> 62        0       0       0       3       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        3       0       0       0       0      11       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1476 ASV1477 ASV1478 ASV1479 ASV1480 ASV1481 ASV1482 ASV1483 ASV1484 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       1       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       1       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0      26       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       1 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       8       1       0       0       0       0       0 #> 12        0       0       0       0      74       0       0       1       0 #> 13        0       0       0       0       0       0       0       2       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       1       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       9       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       2       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0      44 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       6       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       3       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       1       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       1       0       0       0       0       0       0       0 #> 40        0      43       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       2       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0      32       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       7 #> 54        0       0       0       0       0       0       0       4       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       3       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       2       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0      41       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       2 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1485 ASV1486 ASV1487 ASV1488 ASV1489 ASV1490 ASV1492 ASV1493 ASV1494 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       6       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12       73       3       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0      37       0 #> 14        0       0       0       0       0       0       0       1       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0      59       3       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       3 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0      10       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       4 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       2       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       6       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0      73       0       0      30       0 #> 48        0       1       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       2       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       6 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       4       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0      24 #> 61        0       0       0       0       0       0       0       1       6 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0      54       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1495 ASV1496 ASV1497 ASV1498 ASV1500 ASV1501 ASV1502 ASV1503 ASV1504 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0      63       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0      52       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       1       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        1       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0      10       0       0       0 #> 26        0       0       0       0       0       0       9       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0      69       0 #> 29        1       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       8       0       0       0       0       0       0       0 #> 34        0      27       0       0       0       0      17       0       0 #> 35        0      26       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0      13 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       2       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       6       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48       24       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0      52       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0      11 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       2       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1507 ASV1509 ASV1510 ASV1513 ASV1515 ASV1516 ASV1517 ASV1518 ASV1521 #> 1         0       0       0       4       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       3 #> 5         0       0       0       2       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0      39       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0      64       0       0       0       0 #> 13        0       0       0       0       0       8       0       0       0 #> 14        0       0       0       0       0      21       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0      24 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       1 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       1       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       2       0       0       0       0       1 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       1       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       1       0 #> 41        0       0       0       2       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       6       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       1       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0      34 #> 56        0       0       0       0       0       0       0       2       0 #> 57        0       0       0       0       0       3       0       0       1 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        1       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0      20       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        7       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       1       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1523 ASV1524 ASV1525 ASV1526 ASV1527 ASV1528 ASV1529 ASV1531 ASV1532 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       2       0 #> 5         0       0       0       0       0       0       0       0      36 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        2       0       0       0       0       0       0       0       8 #> 12        0      66       0       0       0       0       0       0       0 #> 13        0       0      12       0       0       0       0       0       0 #> 14        0       0      13      39       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0      18       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28       11       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       1       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       4 #> 42        0       0       0       0       0       0       0       0       1 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0      40       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       1       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       1       0       0       0       0       0       0 #> 65        0       0       0       0      65       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1533 ASV1534 ASV1535 ASV1536 ASV1537 ASV1538 ASV1539 ASV1541 ASV1542 #> 1         0       0       0      15       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0      53       0       0       0       8 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0      63      63       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        3       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       2       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       2       0       0       0       0       0 #> 38        0       0       0       0       8       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       1       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0      52       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       5       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       1       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       1       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1543 ASV1544 ASV1545 ASV1546 ASV1548 ASV1549 ASV1550 ASV1551 ASV1552 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       1       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       4       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0      15       0       0       0       0 #> 18        0       0       0       0       0       0       0       0      12 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0      55       0 #> 36        0       0       0       0       0       5       0       0       0 #> 37       56       2       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       5       0       0       0 #> 42        0       4       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       8       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0      29       0       0       0       0       0       0       0 #> 51        0       0       0       0      40       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0      15 #> 57        0       0       0       0       1       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       6       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       1       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1553 ASV1554 ASV1557 ASV1558 ASV1559 ASV1560 ASV1561 ASV1562 ASV1563 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       2       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       2       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       4       0       0       0      58       1       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       2       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0      58 #> 27        0       0       0       0       0       0       0       0       0 #> 28        1       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       1       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       1       0       0       0 #> 33        0       0       0       0       0       1       0       0       0 #> 34        0       0       0       0       0       1       0       0       0 #> 35        0       0       0       0       0       2       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0      19       0       0       0       0       1       0 #> 38        0       0       0      36       0       0       0       0       0 #> 39        0       0       0       0       0       1       0       0       0 #> 40        0       0       0       0       0       1       0       0       0 #> 41        0       0       0       0       0       2       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       1       0       0       0 #> 44        0       0       0       6       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       3       0       0       0       0       0 #> 48        2       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       1       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       1       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       2       0      49       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        4       0       0       0       0       3       0       0       0 #> 59        0       0       0       0       0       1       0       2       0 #> 60       47       0       0       0       0       0       0       0       0 #> 61        0       0       3       0       0       1       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       1       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       2       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       1       0       0       0 #> 68        6       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1564 ASV1565 ASV1568 ASV1569 ASV1570 ASV1571 ASV1573 ASV1574 ASV1575 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       1       0       0       0       0       5      15 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       1      25       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       1       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0      20       0       0       0       0 #> 18        0       0       0       0       7       0       0       0       0 #> 19        0       0      27       0       2       0       0       0       0 #> 20        0       0       0      32       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       2       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       1       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       9       0       0       0 #> 29        0       0       3       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33       17       0       0       0       0       0       1       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0      46       0       0 #> 36        0       0       0       0       0       0       1       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0      24       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       4       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       3       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0      13       0       0       0       0      44       0 #> 59        0       0       0       0       0       0       0       2       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0      34       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       1       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1576 ASV1577 ASV1578 ASV1580 ASV1581 ASV1582 ASV1583 ASV1584 ASV1585 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         2       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       8       0       0       0       0       0       0       0 #> 11        0       0       1       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       5       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       3       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0      51       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0      43 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0      47       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       6       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       1       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0      19       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1586 ASV1587 ASV1588 ASV1589 ASV1591 ASV1592 ASV1593 ASV1594 ASV1595 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0      20      31       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       1       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0      12       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0      51       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       1       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0      32       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        2       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42       20       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       2       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0      55       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57       27       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       2       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        5       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0      53 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1597 ASV1600 ASV1601 ASV1602 ASV1603 ASV1604 ASV1605 ASV1606 ASV1607 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       1       1       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       2       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0      14       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       1       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       1       0       0       0       1       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       3       0       0       8       0       0 #> 25       52       0       0       0       0       0       1       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0      49       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       3       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       1       0       0       0      41 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       1       0       0 #> 48        0       0       0      20       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       4       0      39       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       1       0       0 #> 53        0       0       0       0       0       0       1       0       0 #> 54        0       0       0       0       0       0       1       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       5       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       1       0       0       5       1       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0      40       0       0       0       0       0       0 #> 69        0       0       0       0      23       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1609 ASV1610 ASV1611 ASV1612 ASV1613 ASV1614 ASV1615 ASV1616 ASV1618 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       1       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       1       0       0       0       0 #> 13        0       0       0       0       2       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18       20       0       0       2       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       6       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       1       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0      23       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       4       0       0       4       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       6       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0      44       0       0       0       2       0 #> 63        0       0       0       0      12       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0      11       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1620 ASV1621 ASV1622 ASV1624 ASV1625 ASV1627 ASV1628 ASV1629 ASV1630 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       2       0       0       0       0       0 #> 5         0       0       0      37       0       0       0       0       0 #> 6         0       0       0       0       0       0       6       0       5 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       3       0       0       0       0 #> 11        0       0       0       1       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       1       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        6       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       1       0 #> 19        3       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0      11       0       0       0       0 #> 27        0       2       0       0       5       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       2       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0      43       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0      42       0       0       0       0       0       8       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0      24       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0      43       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1631 ASV1632 ASV1633 ASV1634 ASV1635 ASV1636 ASV1638 ASV1639 ASV1641 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0      19       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0      12       1 #> 12        0      10       0       0       0       0       0       0       0 #> 13        0       0       0       0       1       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       1       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       1       0       0       1       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        3       0       0       1       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       2       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0      12       6       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       2       2       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       3       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       1       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0      33       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       2 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1642 ASV1644 ASV1645 ASV1648 ASV1649 ASV1650 ASV1651 ASV1653 ASV1654 #> 1         0      11       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       1       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8        36       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0      17       0       0       1       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       5       0       0       0       0 #> 17        0       0       0       0       0       0       0       1       0 #> 18        0       0       0       0       0       6      33       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       1       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       6       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       1       0       0       0       0       0       0 #> 50        0       0       0       0       8       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       2       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       3       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1656 ASV1657 ASV1658 ASV1661 ASV1662 ASV1663 ASV1664 ASV1665 ASV1666 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       5 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        6       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       5       0       0       0       0       0       0       0 #> 34        0       1       1       5       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       5       0       0       0       0       0 #> 37        1      18       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       1       0       0       0 #> 43        0       0       0       2       0       0       0       0       0 #> 44        1       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0      27       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       1       0       0       0       0       0 #> 57        0       0       0       0       0       0       1       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       1       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       1       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0      29       3 #> 66        0       0       1       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1667 ASV1670 ASV1671 ASV1672 ASV1673 ASV1674 ASV1677 ASV1680 ASV1681 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       2       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       1       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       1       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       1       0       0       0 #> 22        0       0       0       0       0       2       0       0       0 #> 23        0       0       0       0       0       0       0       0       2 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       2       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       1       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       1       0       0       0 #> 37        0       0       2       0       0       0       0       0       0 #> 38        0       0      21       0      22       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44       18       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       3       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       1       0       0       0 #> 57        0       0       0       0       0       0       0       0       1 #> 58        0       0       0       0       0       2       0       0       0 #> 59        0       0       0       0       0       2       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        1       0       0       0       0       2       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       2       0       0       0 #> 66        0       0       0       0       0       1       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        6       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1683 ASV1684 ASV1687 ASV1689 ASV1690 ASV1691 ASV1694 ASV1697 ASV1704 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       2       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       1       0       1       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14       18       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       2       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       2       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0      11       0       0       0       0       0       0 #> 26        0       0       0       0       0       4       0       0       0 #> 27        0       0       0       0       0       1       0       1       0 #> 28        0       1       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       2       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       3       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       3       0       0       0       0       0 #> 43        0       1       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       7       0       7       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       1       0       0       0       0      16       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        2       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1705 ASV1706 ASV1707 ASV1708 ASV1709 ASV1710 ASV1712 ASV1714 ASV1716 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       1       0       0      10       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       8       0 #> 17        0       0       0       0       0       0       0       0       8 #> 18        0       2       0       0       0       0       1       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0      10       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0      10       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       4       0       0       0       0       6       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1719 ASV1726 #> 1         0       0 #> 2         0       0 #> 3         0       0 #> 4         0       0 #> 5         0       0 #> 6         0       0 #> 7         0       0 #> 8         0       0 #> 9         0       0 #> 10        0       0 #> 11        0       0 #> 12        0       2 #> 13        0       0 #> 14        0       0 #> 15        0       0 #> 16        0       0 #> 17        0       0 #> 18        0       0 #> 19        0       0 #> 20        0       0 #> 21        0       0 #> 22        0       0 #> 23        0       0 #> 24        0       0 #> 25        0       0 #> 26        0       0 #> 27        0       0 #> 28        0       0 #> 29        0       0 #> 30        0       0 #> 31        0       0 #> 32        0       0 #> 33        0       0 #> 34        0       0 #> 35        0       0 #> 36        0       0 #> 37        0       0 #> 38        0       0 #> 39        0       0 #> 40        0       0 #> 41        0       0 #> 42        0       0 #> 43        0       0 #> 44        0       0 #> 45        0       0 #> 46        0       0 #> 47        0       0 #> 48        0       0 #> 49        0       0 #> 50        0       0 #> 51        0       0 #> 52        0       0 #> 53        0       0 #> 54        0       0 #> 55        0       0 #> 56        0       0 #> 57        0       0 #> 58        0       0 #> 59        0       0 #> 60        0       0 #> 61        0       0 #> 62        0       0 #> 63        0       0 #> 64        0       0 #> 65        0       0 #> 66        0       0 #> 67        0       0 #> 68        0       0 #> 69        0       0 #> 70        0       0 #>  [ reached getOption(\"max.print\") -- omitted 115 rows ]"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/reorder_taxa_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Reorder taxa in otu_table/tax_table/refseq slot of a phyloseq object — reorder_taxa_pq","title":"Reorder taxa in otu_table/tax_table/refseq slot of a phyloseq object — reorder_taxa_pq","text":"Note taxa order physeq object tree locked order leaf phylogenetic tree.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/reorder_taxa_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Reorder taxa in otu_table/tax_table/refseq slot of a phyloseq object — reorder_taxa_pq","text":"","code":"reorder_taxa_pq(physeq, names_ordered, remove_phy_tree = FALSE)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/reorder_taxa_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Reorder taxa in otu_table/tax_table/refseq slot of a phyloseq object — reorder_taxa_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. names_ordered (required): Names taxa (must taxa taxa_names(physeq)) given order remove_phy_tree (logical, default FALSE) TRUE, phylogenetic tree removed. ","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/reorder_taxa_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Reorder taxa in otu_table/tax_table/refseq slot of a phyloseq object — reorder_taxa_pq","text":"phyloseq object","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/reorder_taxa_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Reorder taxa in otu_table/tax_table/refseq slot of a phyloseq object — reorder_taxa_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/reorder_taxa_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Reorder taxa in otu_table/tax_table/refseq slot of a phyloseq object — reorder_taxa_pq","text":"","code":"data_fungi_ordered_by_genus <- reorder_taxa_pq(   data_fungi,   taxa_names(data_fungi)[order(as.vector(data_fungi@tax_table[, \"Genus\"]))] )  data_fungi_asc_ordered_by_abundance <- reorder_taxa_pq(   data_fungi,   taxa_names(data_fungi)[order(taxa_sums(data_fungi))] )"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ridges_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Ridge plot of a phyloseq object — ridges_pq","text":"","code":"ridges_pq(physeq, fact, nb_seq = TRUE, log10trans = TRUE, ...)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ridges_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Ridge plot of a phyloseq object — ridges_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. fact (required) Name factor physeq@sam_data used plot different lines nb_seq (logical; default TRUE) set FALSE, number ASV count. Concretely, physeq otu_table transformed binary otu_table (value different zero set one) log10trans (logical, default TRUE) TRUE, number sequences (ASV nb_seq = FALSE) log10 transformed. ... params passed ggridges::geom_density_ridges()","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ridges_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Ridge plot of a phyloseq object — ridges_pq","text":"ggplot2 plot  bar representing number sequence en taxonomic groups","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ridges_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Ridge plot of a phyloseq object — ridges_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ridges_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Ridge plot of a phyloseq object — ridges_pq","text":"","code":"ridges_pq(data_fungi_mini, \"Time\", alpha = 0.5, log10trans = FALSE) + xlim(c(0, 1000)) #> Scale for x is already present. #> Adding another scale for x, which will replace the existing scale. #> Picking joint bandwidth of 40.1 #> Warning: Removed 99 rows containing non-finite values (`stat_density_ridges()`).  ridges_pq(data_fungi_mini, \"Time\", alpha = 0.5, scale = 0.9) #> Picking joint bandwidth of 0.428  ridges_pq(data_fungi_mini, \"Sample_names\", log10trans = TRUE) #> Picking joint bandwidth of 0.551   ridges_pq(data_fungi_mini,   \"Time\",   jittered_points = TRUE,   position = ggridges::position_points_jitter(width = 0.05, height = 0),   point_shape = \"|\", point_size = 3, point_alpha = 1, alpha = 0.7,   scale = 0.8 ) #> Picking joint bandwidth of 0.428"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/rotl_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"rotl wrapper for phyloseq data — rotl_pq","title":"rotl wrapper for phyloseq data — rotl_pq","text":"Make phylogenetic tree using ASV names physeq object Open Tree Life tree.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/rotl_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"rotl wrapper for phyloseq data — rotl_pq","text":"","code":"rotl_pq(physeq, species_colnames = \"Genus_species\", context_name = \"All life\")"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/rotl_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"rotl wrapper for phyloseq data — rotl_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. species_colnames (default: \"Genus_species\"): name column species binominal name stored @tax_table slot. Can also vector two columns names e.g. c(\"Genus\", \"Species\") context_name : can bue used select part Open Tree Life. See ?rotl::tnrs_contexts() available values","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/rotl_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"rotl wrapper for phyloseq data — rotl_pq","text":"plot","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/rotl_pq.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"rotl wrapper for phyloseq data — rotl_pq","text":"function mainly wrapper work others. Please make reference rotl package use function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/rotl_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"rotl wrapper for phyloseq data — rotl_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/rotl_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"rotl wrapper for phyloseq data — rotl_pq","text":"","code":"library(\"rotl\") tr <- rotl_pq(data_fungi_mini, species_colnames = \"Genus_species\") #> Warning: Some names were duplicated: ‘stereum ostrea’, ‘ossicaulis lachnopus’, ‘fomes fomentarius’, ‘fomes fomentarius’, ‘xylodon raduloides’, ‘ossicaulis lachnopus’, ‘ossicaulis lachnopus’, ‘stereum ostrea’, ‘fomes fomentarius’, ‘xylodon raduloides’, ‘exidia glandulosa’. #> Warning: Some names were duplicated: ‘stereum ostrea’, ‘ossicaulis lachnopus’, ‘fomes fomentarius’, ‘fomes fomentarius’, ‘xylodon raduloides’, ‘ossicaulis lachnopus’, ‘ossicaulis lachnopus’, ‘stereum ostrea’, ‘fomes fomentarius’, ‘xylodon raduloides’, ‘exidia glandulosa’. #> Warning: Dropping singleton nodes with labels: mrcaott109ott9895, mrcaott109ott50573, mrcaott109ott233596, mrcaott109ott206, mrcaott109ott240843, mrcaott109ott11233, mrcaott11233ott46244, mrcaott11233ott47319, mrcaott47319ott135577, mrcaott47319ott317441, mrcaott47319ott55252, mrcaott2427ott25198, mrcaott25198ott140745, Lyophyllaceae ott1048880, mrcaott25198ott343967, mrcaott343967ott434508, Ossicaulis ott343990, mrcaott30821ott46242, Pterulaceae ott637619, Radulomyces ott82394, mrcaott471ott44719, mrcaott471ott5265, mrcaott32867ott86441, mrcaott86441ott477103, mrcaott86441ott159293, mrcaott159293ott212207, Hericium ott1044744, mrcaott106245ott181624, mrcaott106245ott295001, mrcaott106245ott424266, mrcaott106245ott237731, mrcaott1939ott4100, mrcaott1939ott86215, mrcaott1939ott52426, mrcaott1939ott7501, mrcaott1939ott459078, mrcaott1939ott31634, mrcaott1939ott228595, mrcaott1939ott137433, Trametes ott205112, mrcaott6711ott6854, mrcaott6711ott39549, Meruliaceae ott42234, mrcaott42575ott455004, Schizoporaceae ott580418, Xylodon ott640041, Peniophorella ott351728, Marchandiomyces ott985876, mrcaott2361ott40692, Cantharellales ott558119, mrcaott2361ott10072, mrcaott2361ott70669, mrcaott2361ott30094, mrcaott2361ott133843, Hydnaceae ott160852, Sistotrema ott604159, mrcaott3860ott11234, mrcaott11234ott134670, Auricularia ott183795, Exidia ott133079, Aporpiaceae ott938070, Elmerina ott654643, Fomes ott5342097 plot(tr)  if (FALSE) {   tr_Asco <- rotl_pq(data_fungi, species_colnames = \"Genus_species\", context_name = \"Ascomycetes\")   plot(tr_Asco) }"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/sample_data_with_new_names.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Load sample data from file and rename samples using names of samples and an\noptional order — sample_data_with_new_names","text":"","code":"sample_data_with_new_names(   file_path,   names_of_samples,   samples_order = NULL,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/sample_data_with_new_names.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Load sample data from file and rename samples using names of samples and an\noptional order — sample_data_with_new_names","text":"file_path (required) path sample_data file names_of_samples (required) vector sample names samples_order Optional numeric vector sort sample names ... arguments passed utils::read.delim() function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/sample_data_with_new_names.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Load sample data from file and rename samples using names of samples and an\noptional order — sample_data_with_new_names","text":"data.frame file_path new names","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/sample_data_with_new_names.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Load sample data from file and rename samples using names of samples and an\noptional order — sample_data_with_new_names","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/sample_data_with_new_names.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Load sample data from file and rename samples using names of samples and an\noptional order — sample_data_with_new_names","text":"","code":"sam_file <- system.file(\"extdata\", \"sam_data.csv\", package = \"MiscMetabar\") sample_data_with_new_names(sam_file, paste0(\"Samples_\", seq(1, 185))) #>                                             X      Sample_names   Tree_name #> Samples_1      A10-005-B_S188_MERGED.fastq.gz    A10-005-B_S188     A10-005 #> Samples_2      A10-005-H_S189_MERGED.fastq.gz    A10-005-H_S189     A10-005 #> Samples_3      A10-005-M_S190_MERGED.fastq.gz    A10-005-M_S190     A10-005 #> Samples_4        A12-007_S191_MERGED.fastq.gz      A12-007_S191     A12-007 #> Samples_5        A12-007-B_S2_MERGED.fastq.gz      A12-007-B_S2     A12-007 #> Samples_6          A15-004_S3_MERGED.fastq.gz        A15-004_S3     A15-004 #> Samples_7           A8-005_S4_MERGED.fastq.gz         A8-005_S4      A8-005 #> Samples_8           A9-012_S5_MERGED.fastq.gz         A9-012_S5      A9-012 #> Samples_9      AB29-ABMX-H_S6_MERGED.fastq.gz    AB29-ABMX-H_S6  AB29-abm-X #> Samples_10        AC27-013_S7_MERGED.fastq.gz       AC27-013_S7    AC27-013 #> Samples_11         AC29033_S8_MERGED.fastq.gz        AC29033_S8    AC29-033 #> Samples_12      AD26-005-B_S9_MERGED.fastq.gz     AD26-005-B_S9    AD26-005 #> Samples_13     AD26-005-H_S10_MERGED.fastq.gz    AD26-005-H_S10    AD26-005 #> Samples_14     AD26-005-M_S11_MERGED.fastq.gz    AD26-005-M_S11    AD26-005 #> Samples_15    AD30-ABMX-M_S12_MERGED.fastq.gz   AD30-ABMX-M_S12  AD30-abm-X #> Samples_16     AD32-007-M_S13_MERGED.fastq.gz    AD32-007-M_S13    AD32-007 #> Samples_17     ADABM30X-B_S14_MERGED.fastq.gz    ADABM30X-B_S14  AD30-abm-X #> Samples_18     ADABM30X-H_S15_MERGED.fastq.gz    ADABM30X-H_S15  AD30-abm-X #> Samples_19     ADABM30X-M_S16_MERGED.fastq.gz    ADABM30X-M_S16  AD30-abm-X #> Samples_20    AE30-ABM507_S17_MERGED.fastq.gz   AE30-ABM507_S17 AE30-abm507 #> Samples_21        B17-014_S18_MERGED.fastq.gz       B17-014_S18     BI7-014 #> Samples_22      B18-006-B_S19_MERGED.fastq.gz     B18-006-B_S19     B18-006 #> Samples_23    BA16-036bis_S20_MERGED.fastq.gz   BA16-036bis_S20    BA16-036 #> Samples_24     BA17-050-B_S21_MERGED.fastq.gz    BA17-050-B_S21    BA17-050 #> Samples_25     BB19-006-H_S22_MERGED.fastq.gz    BB19-006-H_S22    BB19-006 #> Samples_26      BB6-019-B_S23_MERGED.fastq.gz     BB6-019-B_S23     BB6-019 #> Samples_27      BB6-019-H_S24_MERGED.fastq.gz     BB6-019-H_S24     BB6-019 #> Samples_28      BB6-019-M_S25_MERGED.fastq.gz     BB6-019-M_S25     BB6-019 #> Samples_29       BD14-021_S26_MERGED.fastq.gz      BD14-021_S26    BD14-021 #> Samples_30      BE9-006-B_S27_MERGED.fastq.gz     BE9-006-B_S27     BE9-006 #> Samples_31      BE9-006-H_S28_MERGED.fastq.gz     BE9-006-H_S28     BE9-006 #> Samples_32      BE9-006-M_S29_MERGED.fastq.gz     BE9-006-M_S29     BE9-006 #> Samples_33      BG7-010-B_S30_MERGED.fastq.gz     BG7-010-B_S30     BG7-010 #> Samples_34      BG7-010-H_S31_MERGED.fastq.gz     BG7-010-H_S31     BG7-010 #> Samples_35      BG7-010-M_S32_MERGED.fastq.gz     BG7-010-M_S32     BG7-010 #> Samples_36        BH9-021_S33_MERGED.fastq.gz       BH9-021_S33     BH9-021 #> Samples_37     BJ17-007-M_S34_MERGED.fastq.gz    BJ17-007-M_S34    BJ17-007 #> Samples_38    BJ8-ABM-003_S35_MERGED.fastq.gz   BJ8-ABM-003_S35   BJ8abm003 #> Samples_39      BL7-006-B_S36_MERGED.fastq.gz     BL7-006-B_S36     BL7-006 #> Samples_40      BL7-006-H_S37_MERGED.fastq.gz     BL7-006-H_S37     BL7-006 #> Samples_41      BL7-006-M_S38_MERGED.fastq.gz     BL7-006-M_S38     BL7-006 #> Samples_42       BN11-041_S39_MERGED.fastq.gz      BN11-041_S39    BN11-041 #> Samples_43        BN9-002_S40_MERGED.fastq.gz       BN9-002_S40     BN9-002 #> Samples_44        BO8-002_S41_MERGED.fastq.gz       BO8-002_S41     BO8-002 #> Samples_45        BO8-005_S42_MERGED.fastq.gz       BO8-005_S42     BO8-005 #> Samples_46     BP11-001-B_S43_MERGED.fastq.gz    BP11-001-B_S43    BP11-001 #> Samples_47     BP11-001-H_S44_MERGED.fastq.gz    BP11-001-H_S44    BP11-001 #> Samples_48     BP11-001-M_S45_MERGED.fastq.gz    BP11-001-M_S45    BP11-001 #> Samples_49     BP12-025-B_S46_MERGED.fastq.gz    BP12-025-B_S46    BP12-025 #> Samples_50       BP14-006_S47_MERGED.fastq.gz      BP14-006_S47    BP14-006 #> Samples_51        BQ3-019_S48_MERGED.fastq.gz       BQ3-019_S48     BQ3-019 #> Samples_52      BQ4-018-B_S49_MERGED.fastq.gz     BQ4-018-B_S49     BQ4-018 #> Samples_53      BQ4-018-H_S50_MERGED.fastq.gz     BQ4-018-H_S50     BQ4-018 #> Samples_54      BQ4-018-M_S51_MERGED.fastq.gz     BQ4-018-M_S51     BQ4-018 #> Samples_55     BQ9ABM-002_S52_MERGED.fastq.gz    BQ9ABM-002_S52   BQ9abm002 #> Samples_56        BR8-005_S53_MERGED.fastq.gz       BR8-005_S53     BR8-005 #> Samples_57       BS14-006_S54_MERGED.fastq.gz      BS14-006_S54    BS14-006 #> Samples_58       BT-006-M_S55_MERGED.fastq.gz      BT-006-M_S55     BT7-006 #> Samples_59        BT7-006_S56_MERGED.fastq.gz       BT7-006_S56     BT7-006 #> Samples_60     BV11-002-B_S57_MERGED.fastq.gz    BV11-002-B_S57    BU11-002 #> Samples_61     BV11-002-H_S58_MERGED.fastq.gz    BV11-002-H_S58    BU11-002 #> Samples_62     BV11-002-M_S59_MERGED.fastq.gz    BV11-002-M_S59    BU11-002 #> Samples_63        BW8-003_S60_MERGED.fastq.gz       BW8-003_S60     BW8-003 #> Samples_64         C1-001_S61_MERGED.fastq.gz        C1-001_S61      C1-001 #> Samples_65      C21-NV1-B_S62_MERGED.fastq.gz     C21-NV1-B_S62    C21-nv-1 #> Samples_66      C21-NV1-H_S63_MERGED.fastq.gz     C21-NV1-H_S63    C21-nv-1 #> Samples_67      C21-NV1-M_S64_MERGED.fastq.gz     C21-NV1-M_S64    C21-nv-1 #> Samples_68         C9-005_S65_MERGED.fastq.gz        C9-005_S65      C9-005 #> Samples_69       CA12-024_S66_MERGED.fastq.gz      CA12-024_S66    CA12-024 #> Samples_70        CA9-027_S67_MERGED.fastq.gz       CA9-027_S67     CA9-027 #> Samples_71          CA9-X_S68_MERGED.fastq.gz         CA9-X_S68       CA9-X #> Samples_72      CB8-019-B_S69_MERGED.fastq.gz     CB8-019-B_S69     CB8-019 #> Samples_73      CB8-019-H_S70_MERGED.fastq.gz     CB8-019-H_S70     CB8-019 #> Samples_74      CB8-019-M_S71_MERGED.fastq.gz     CB8-019-M_S71     CB8-019 #> Samples_75        CB9-013_S72_MERGED.fastq.gz       CB9-013_S72     CB9-013 #> Samples_76        CC3-044_S73_MERGED.fastq.gz       CC3-044_S73     CC3-044 #> Samples_77        CC8-003_S74_MERGED.fastq.gz       CC8-003_S74     CC8-003 #> Samples_78        D17-011_S77_MERGED.fastq.gz       D17-011_S77     D17-011 #> Samples_79      D18-003-B_S78_MERGED.fastq.gz     D18-003-B_S78     D18-003 #> Samples_80      D18-003-H_S79_MERGED.fastq.gz     D18-003-H_S79     D18-003 #> Samples_81      D18-003-M_S80_MERGED.fastq.gz     D18-003-M_S80     D18-003 #> Samples_82     D22-NVABM1_S81_MERGED.fastq.gz    D22-NVABM1_S81 D22-nvabm-1 #> Samples_83      D61-010-B_S82_MERGED.fastq.gz     D61-010-B_S82     DG1-010 #> Samples_84       D9-027-B_S83_MERGED.fastq.gz      D9-027-B_S83      D9-027 #> Samples_85       D9-027-H_S84_MERGED.fastq.gz      D9-027-H_S84      D9-027 #> Samples_86       D9-027-M_S85_MERGED.fastq.gz      D9-027-M_S85      D9-027 #> Samples_87    DBM-ABM-001_S86_MERGED.fastq.gz   DBM-ABM-001_S86   DB1abm001 #> Samples_88      DJ2-008-B_S87_MERGED.fastq.gz     DJ2-008-B_S87     DJ2-008 #> Samples_89      DJ2-008-H_S88_MERGED.fastq.gz     DJ2-008-H_S88     DJ2-008 #> Samples_90      DJ2-008-M_S89_MERGED.fastq.gz     DJ2-008-M_S89     DJ2-008 #> Samples_91     DP4-ABM001_S90_MERGED.fastq.gz    DP4-ABM001_S90   DP4abm001 #> Samples_92   DS1-ABM002-B_S91_MERGED.fastq.gz  DS1-ABM002-B_S91   DS1abm002 #> Samples_93   DS1-ABM002-H_S92_MERGED.fastq.gz  DS1-ABM002-H_S92   DS1abm002 #> Samples_94   DS1-ABM002-M_S93_MERGED.fastq.gz  DS1-ABM002-M_S93   DS1abm002 #> Samples_95      DU3-045-B_S94_MERGED.fastq.gz     DU3-045-B_S94     DU3-045 #> Samples_96        DW4-007_S95_MERGED.fastq.gz       DW4-007_S95     DW4-007 #> Samples_97      DY5-004-B_S96_MERGED.fastq.gz     DY5-004-B_S96     DY5-004 #> Samples_98      DY5-004-H_S97_MERGED.fastq.gz     DY5-004-H_S97     DY5-004 #> Samples_99      DY5-004-M_S98_MERGED.fastq.gz     DY5-004-M_S98     DY5-004 #> Samples_100   DZ6-ABM-001_S99_MERGED.fastq.gz   DZ6-ABM-001_S99   DZ6abm001 #> Samples_101     E9-009-B_S100_MERGED.fastq.gz     E9-009-B_S100      E9-009 #> Samples_102     E9-009-H_S101_MERGED.fastq.gz     E9-009-H_S101      E9-009 #> Samples_103     E9-009-M_S102_MERGED.fastq.gz     E9-009-M_S102      E9-009 #> Samples_104  EA5-ABM-001_S103_MERGED.fastq.gz  EA5-ABM-001_S103    EAabm001 #> Samples_105    EC2-013-B_S104_MERGED.fastq.gz    EC2-013-B_S104     EC2-013 #> Samples_106   F6-ABM-001_S105_MERGED.fastq.gz   F6-ABM-001_S105    F6abm001 #> Samples_107     F7-015-M_S106_MERGED.fastq.gz     F7-015-M_S106      F7-015 #> Samples_108    FOMES19-H_S108_MERGED.fastq.gz    FOMES19-H_S108     FOMES19 #> Samples_109    FOMES19-M_S109_MERGED.fastq.gz    FOMES19-M_S109     FOMES19 #> Samples_110    H10-018-M_S110_MERGED.fastq.gz    H10-018-M_S110     H10-018 #> Samples_111 H24-NVABM1-H_S111_MERGED.fastq.gz H24-NVABM1-H_S111 H24-nvabm-1 #> Samples_112    J18-004-B_S114_MERGED.fastq.gz    J18-004-B_S114     J18-004 #> Samples_113    J18-004-H_S115_MERGED.fastq.gz    J18-004-H_S115     J18-004 #> Samples_114    J18-004-M_S116_MERGED.fastq.gz    J18-004-M_S116     J18-004 #> Samples_115    K18-002-H_S117_MERGED.fastq.gz    K18-002-H_S117     K18-002 #> Samples_116   K26-NVABM1_S118_MERGED.fastq.gz   K26-NVABM1_S118 K26-nvamb-1 #> Samples_117       L19X-B_S119_MERGED.fastq.gz       L19X-B_S119       L19-X #> Samples_118       L19X-H_S120_MERGED.fastq.gz       L19X-H_S120       L19-X #> Samples_119       L19X-M_S121_MERGED.fastq.gz       L19X-M_S121       L19-X #> Samples_120    L23-002-B_S122_MERGED.fastq.gz    L23-002-B_S122     L23-002 #> Samples_121    L23-002-H_S123_MERGED.fastq.gz    L23-002-H_S123     L23-002 #> Samples_122    L23-002-M_S124_MERGED.fastq.gz    L23-002-M_S124     L23-002 #> Samples_123      M22-001_S125_MERGED.fastq.gz      M22-001_S125     M22-001 #> Samples_124       N19X-B_S126_MERGED.fastq.gz       N19X-B_S126       N19-X #> Samples_125       N19X-H_S127_MERGED.fastq.gz       N19X-H_S127       N19-X #> Samples_126       N19X-M_S128_MERGED.fastq.gz       N19X-M_S128       N19-X #> Samples_127    N22-001-B_S129_MERGED.fastq.gz    N22-001-B_S129     M22-001 #> Samples_128    N23-002-B_S130_MERGED.fastq.gz    N23-002-B_S130     N23-002 #> Samples_129    N23-002-H_S131_MERGED.fastq.gz    N23-002-H_S131     N23-002 #> Samples_130    N23-002-M_S132_MERGED.fastq.gz    N23-002-M_S132     N23-002 #> Samples_131     N25-ABMX_S133_MERGED.fastq.gz     N25-ABMX_S133   N25-abm-X #> Samples_132   NVABM-0058_S134_MERGED.fastq.gz   NVABM-0058_S134   nvabm0058 #> Samples_133 NVABM-0163-H_S135_MERGED.fastq.gz NVABM-0163-H_S135   nvabm0163 #> Samples_134   NVABM-0397_S138_MERGED.fastq.gz   NVABM-0397_S138   nvabm0397 #> Samples_135    NVABM0216_S136_MERGED.fastq.gz    NVABM0216_S136   nvabm0216 #> Samples_136  NVABM0244-M_S137_MERGED.fastq.gz  NVABM0244-M_S137   nvabm0244 #> Samples_137      O20-X-B_S139_MERGED.fastq.gz      O20-X-B_S139       O20-X #> Samples_138      O20-X-H_S140_MERGED.fastq.gz      O20-X-H_S140       O20-X #> Samples_139      O20-X-M_S141_MERGED.fastq.gz      O20-X-M_S141       O20-X #> Samples_140    O21-007-B_S142_MERGED.fastq.gz    O21-007-B_S142     O21-007 #> Samples_141    O21-007-H_S143_MERGED.fastq.gz    O21-007-H_S143     O21-007 #> Samples_142    O21-007-M_S144_MERGED.fastq.gz    O21-007-M_S144     O21-007 #> Samples_143    O24-003-B_S145_MERGED.fastq.gz    O24-003-B_S145     O24-003 #> Samples_144    O24-003-H_S146_MERGED.fastq.gz    O24-003-H_S146     O24-003 #> Samples_145    O24-003-M_S147_MERGED.fastq.gz    O24-003-M_S147     O24-003 #> Samples_146    O26-004-B_S148_MERGED.fastq.gz    O26-004-B_S148     O26-004 #> Samples_147    O26-004-H_S149_MERGED.fastq.gz    O26-004-H_S149     O26-004 #> Samples_148    O26-004-M_S150_MERGED.fastq.gz    O26-004-M_S150     O26-004 #> Samples_149      O27-012_S151_MERGED.fastq.gz      O27-012_S151     O27-012 #> Samples_150     O9-005-B_S152_MERGED.fastq.gz     O9-005-B_S152      C9-005 #> Samples_151    P19-023-M_S153_MERGED.fastq.gz    P19-023-M_S153     P19-023 #> Samples_152    P27-015-M_S154_MERGED.fastq.gz    P27-015-M_S154     P27-015 #> Samples_153   P27-ABM001_S155_MERGED.fastq.gz   P27-ABM001_S155  P27-abm001 #> Samples_154 Q27-ABM003-B_S156_MERGED.fastq.gz Q27-ABM003-B_S156  Q27-abm003 #> Samples_155     R25-ABMX_S157_MERGED.fastq.gz     R25-ABMX_S157   R25-abm-X #> Samples_156    R28-008-B_S158_MERGED.fastq.gz    R28-008-B_S158     R28-008 #> Samples_157    R28-008-H_S159_MERGED.fastq.gz    R28-008-H_S159     R28-008 #> Samples_158    R28-008-M_S160_MERGED.fastq.gz    R28-008-M_S160     R28-008 #> Samples_159      T28-011_S161_MERGED.fastq.gz      T28-011_S161     T28-011 #> Samples_160 T28-ABM602-B_S162_MERGED.fastq.gz T28-ABM602-B_S162  T28-abm602 #> Samples_161   U27-ABM002_S163_MERGED.fastq.gz   U27-ABM002_S163  U27-abm002 #> Samples_162     W25-ABMX_S164_MERGED.fastq.gz     W25-ABMX_S164   W25-abm-X #> Samples_163    W26-001-B_S165_MERGED.fastq.gz    W26-001-B_S165     W26-001 #> Samples_164    W26-001-H_S166_MERGED.fastq.gz    W26-001-H_S166     W26-001 #> Samples_165    W26-001-M_S167_MERGED.fastq.gz    W26-001-M_S167     W26-001 #> Samples_166      W30-006_S168_MERGED.fastq.gz      W30-006_S168     W30-006 #> Samples_167     W9-025-M_S169_MERGED.fastq.gz     W9-025-M_S169     W29-025 #> Samples_168    X24-009-B_S170_MERGED.fastq.gz    X24-009-B_S170     X24-009 #> Samples_169    X24-009-H_S171_MERGED.fastq.gz    X24-009-H_S171     X24-009 #> Samples_170    X24-009-M_S172_MERGED.fastq.gz    X24-009-M_S172     X24-009 #> Samples_171      X24-010_S173_MERGED.fastq.gz      X24-010_S173     X24-010 #> Samples_172    X29-004-B_S174_MERGED.fastq.gz    X29-004-B_S174     X29-004 #> Samples_173    X29-004-H_S175_MERGED.fastq.gz    X29-004-H_S175     X29-004 #> Samples_174    X29-004-M_S176_MERGED.fastq.gz    X29-004-M_S176     X29-004 #> Samples_175 Y21-ABM484-H_S177_MERGED.fastq.gz Y21-ABM484-H_S177  Y31-abm484 #> Samples_176    Y28-002-B_S178_MERGED.fastq.gz    Y28-002-B_S178     Y28-002 #> Samples_177    Y28-002-H_S179_MERGED.fastq.gz    Y28-002-H_S179     Y28-002 #> Samples_178    Y28-002-M_S180_MERGED.fastq.gz    Y28-002-M_S180     Y28-002 #> Samples_179    Y29-007-B_S181_MERGED.fastq.gz    Y29-007-B_S181     Y29-007 #> Samples_180    Y29-007-H_S182_MERGED.fastq.gz    Y29-007-H_S182     Y29-007 #> Samples_181    Y29-007-M_S183_MERGED.fastq.gz    Y29-007-M_S183     Y29-007 #> Samples_182 Y31-ABM484-B_S184_MERGED.fastq.gz Y31-ABM484-B_S184  Y31-abm484 #> Samples_183    Z29-001-H_S185_MERGED.fastq.gz    Z29-001-H_S185     Z29-001 #> Samples_184      Z30-002_S186_MERGED.fastq.gz      Z30-002_S186     Z30-002 #> Samples_185 Z30-ABM560-M_S187_MERGED.fastq.gz Z30-ABM560-M_S187  Z30-abm560 #>             Sample_id Height Diameter Time #> Samples_1         188    Low       52   15 #> Samples_2         189   High       52   15 #> Samples_3         190 Middle       52   15 #> Samples_4         191   <NA>     28,4    0 #> Samples_5           2    Low     28,4    0 #> Samples_6           3   <NA>     30,7    0 #> Samples_7           4   <NA>     32,8    0 #> Samples_8           5   <NA>     33,3    0 #> Samples_9           6   High       99    5 #> Samples_10          7   <NA>       32   15 #> Samples_11          8   <NA>     55,4   15 #> Samples_12          9    Low    115,5   15 #> Samples_13         10   High    115,5   15 #> Samples_14         11 Middle    115,5   15 #> Samples_15         12 Middle        -    5 #> Samples_16         13 Middle       52   NA #> Samples_17         14    Low        -    5 #> Samples_18         15   High        -    5 #> Samples_19         16 Middle        -    5 #> Samples_20         17   <NA>       10    5 #> Samples_21         18   <NA>     21,5   NA #> Samples_22         19    Low     32,5   10 #> Samples_23         20   <NA>     40,3   15 #> Samples_24         21    Low       30   10 #> Samples_25         22   High     37,5   15 #> Samples_26         23    Low     33,8    5 #> Samples_27         24   High     33,8    5 #> Samples_28         25 Middle     33,8    5 #> Samples_29         26   <NA>     32,4    5 #> Samples_30         27    Low     23,1    0 #> Samples_31         28   High     23,1    0 #> Samples_32         29 Middle     23,1    0 #> Samples_33         30    Low       32    0 #> Samples_34         31   High       32    0 #> Samples_35         32 Middle       32    0 #> Samples_36         33   <NA>     44,3    0 #> Samples_37         34 Middle       32    5 #> Samples_38         35   <NA>       40   15 #> Samples_39         36    Low     35,6    0 #> Samples_40         37   High     35,6    0 #> Samples_41         38 Middle     35,6    0 #> Samples_42         39   <NA>     38,3   NA #> Samples_43         40   <NA>     32,5    0 #> Samples_44         41   <NA>     26,5   10 #> Samples_45         42   <NA>       23    0 #> Samples_46         43    Low     47,5   15 #> Samples_47         44   High     47,5   15 #> Samples_48         45 Middle     47,5   15 #> Samples_49         46    Low     64,5   10 #> Samples_50         47   <NA>     25,3   10 #> Samples_51         48   <NA>       80   15 #> Samples_52         49    Low       34    0 #> Samples_53         50   High       34    0 #> Samples_54         51 Middle       34    0 #> Samples_55         52   <NA>       40   15 #> Samples_56         53   <NA>     36,8    0 #> Samples_57         54   <NA>       35   15 #> Samples_58         55 Middle       41    0 #> Samples_59         56   <NA>       41    0 #> Samples_60         57    Low       33    5 #> Samples_61         58   High       33    5 #> Samples_62         59 Middle       33    5 #> Samples_63         60   <NA>     38,2    0 #> Samples_64         61   <NA>       43   10 #> Samples_65         62    Low       30    0 #> Samples_66         63   High       30    0 #> Samples_67         64 Middle       30    0 #> Samples_68         65   <NA>       39    5 #> Samples_69         66   <NA>     18,3   NA #> Samples_70         67   <NA>     23,4    0 #> Samples_71         68   <NA>        -   15 #> Samples_72         69    Low     33,3    0 #> Samples_73         70   High     33,3    0 #> Samples_74         71 Middle     33,3    0 #> Samples_75         72   <NA>     32,3    5 #> Samples_76         73   <NA>     35,7    5 #> Samples_77         74   <NA>     36,5    0 #> Samples_78         77   <NA>     59,8    5 #> Samples_79         78    Low     45,5    5 #> Samples_80         79   High     45,5    5 #> Samples_81         80 Middle     45,5    5 #> Samples_82         81   <NA>       30    5 #> Samples_83         82    Low     36,3   15 #> Samples_84         83    Low     18,9   NA #> Samples_85         84   High     18,9   NA #> Samples_86         85 Middle     18,9   NA #> Samples_87         86   <NA>       40   15 #> Samples_88         87    Low     76,4    0 #> Samples_89         88   High     76,4    0 #> Samples_90         89 Middle     76,4    0 #> Samples_91         90   <NA>       60   15 #> Samples_92         91    Low       25   15 #> Samples_93         92   High       25   15 #> Samples_94         93 Middle       25   15 #> Samples_95         94    Low       38   15 #> Samples_96         95   <NA>       34   10 #> Samples_97         96    Low     60,4    0 #> Samples_98         97   High     60,4    0 #> Samples_99         98 Middle     60,4    0 #> Samples_100        99   <NA>       35   15 #> Samples_101       100    Low     29,5    0 #> Samples_102       101   High     29,5    0 #> Samples_103       102 Middle     29,5    0 #> Samples_104       103   <NA>       25   15 #> Samples_105       104    Low       52   15 #> Samples_106       105   <NA>       30   15 #> Samples_107       106 Middle       50   10 #> Samples_108       108   High     <NA>   NA #> Samples_109       109 Middle     <NA>   NA #> Samples_110       110 Middle     88,5   15 #> Samples_111       111   High       30    5 #> Samples_112       114    Low     27,6    0 #> Samples_113       115   High     27,6    0 #> Samples_114       116 Middle     27,6    0 #> Samples_115       117   High     33,5   10 #> Samples_116       118   <NA>       30    5 #> Samples_117       119    Low       30   NA #> Samples_118       120   High       30   NA #> Samples_119       121 Middle       30   NA #> Samples_120       122    Low     40,5   10 #> Samples_121       123   High     40,5   10 #> Samples_122       124 Middle     40,5   10 #> Samples_123       125   <NA>       34    0 #> Samples_124       126    Low     33,5   NA #> Samples_125       127   High     33,5   NA #> Samples_126       128 Middle     33,5   NA #> Samples_127       129    Low       34    0 #> Samples_128       130    Low     21,5   15 #> Samples_129       131   High     21,5   15 #> Samples_130       132 Middle     21,5   15 #> Samples_131       133   <NA>       20    5 #> Samples_132       134   <NA>       30   10 #> Samples_133       135   High       40   10 #> Samples_134       138   <NA>       35   10 #> Samples_135       136   <NA>       30   15 #> Samples_136       137 Middle       50   10 #> Samples_137       139    Low     <NA>   NA #> Samples_138       140   High     <NA>   NA #> Samples_139       141 Middle     <NA>   NA #> Samples_140       142    Low       25    0 #> Samples_141       143   High       25    0 #> Samples_142       144 Middle       25    0 #> Samples_143       145    Low       75    0 #> Samples_144       146   High       75    0 #> Samples_145       147 Middle       75    0 #> Samples_146       148    Low     30,4    0 #> Samples_147       149   High     30,4    0 #> Samples_148       150 Middle     30,4    0 #> Samples_149       151   <NA>     69,5   15 #> Samples_150       152    Low       39    5 #> Samples_151       153 Middle     18,4   NA #> Samples_152       154 Middle       96    5 #> Samples_153       155   <NA>       25    5 #> Samples_154       156    Low       10    5 #> Samples_155       157   <NA>        -    5 #> Samples_156       158    Low     37,2    0 #> Samples_157       159   High     37,2    0 #> Samples_158       160 Middle     37,2    0 #> Samples_159       161   <NA>     66,8   10 #> Samples_160       162    Low       64    5 #> Samples_161       163   <NA>       11    5 #> Samples_162       164   <NA>       40    5 #> Samples_163       165    Low     71,7    0 #> Samples_164       166   High     71,7    0 #> Samples_165       167 Middle     71,7    0 #> Samples_166       168   <NA>     59,6   10 #> Samples_167       169 Middle     71,5   NA #> Samples_168       170    Low     38,8    0 #> Samples_169       171   High     38,8    0 #> Samples_170       172 Middle     38,8    0 #> Samples_171       173   <NA>     37,8    5 #> Samples_172       174    Low     52,7   10 #> Samples_173       175   High     52,7   10 #> Samples_174       176 Middle     52,7   10 #> Samples_175       177   High       20    5 #> Samples_176       178    Low     63,6   NA #> Samples_177       179   High     63,6   NA #> Samples_178       180 Middle     63,6   NA #> Samples_179       181    Low     68,6    0 #> Samples_180       182   High     68,6    0 #> Samples_181       183 Middle     68,6    0 #> Samples_182       184    Low       20    5 #> Samples_183       185   High     35,2    5 #> Samples_184       186   <NA>     43,4   15 #> Samples_185       187 Middle       11    5"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/sankey_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Sankey plot of phyloseq-class object — sankey_pq","text":"","code":"sankey_pq(   physeq = NULL,   fact = NULL,   taxa = 1:4,   add_nb_seq = FALSE,   min_prop_tax = 0,   tax2remove = NULL,   units = NULL,   symbol2sub = c(\"\\\\.\", \"-\"),   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/sankey_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Sankey plot of phyloseq-class object — sankey_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. fact Name factor cluster samples modalities. Need physeq@sam_data. taxa vector taxonomic rank plot add_nb_seq Represent number sequences number OTUs (add_nb_seq = FALSE). Note plotting number sequences slower. min_prop_tax (default: 0) minimum proportion taxon plotted. EXPERIMENTAL. moment links min.prop. tax discard sankey network resulting sometimes weird plot. tax2remove vector taxonomic groups remove analysis (e.g. c('Incertae sedis', 'unidentified')) units character string describing physical units () Value symbol2sub (default: c('\\.', '-')) vector symbol delete taxonomy ... Additional arguments passed sankeyNetwork","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/sankey_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Sankey plot of phyloseq-class object — sankey_pq","text":"sankeyNetwork plot representing taxonomic distribution OTUs sequences. fact set, represent distribution last taxonomic level modalities fact","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/sankey_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Sankey plot of phyloseq-class object — sankey_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/sankey_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Sankey plot of phyloseq-class object — sankey_pq","text":"","code":"data(\"GlobalPatterns\", package = \"phyloseq\") GP <- subset_taxa(GlobalPatterns, GlobalPatterns@tax_table[, 1] == \"Archaea\") #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ sankey_pq(GP, fact = \"SampleType\") #> Warning: NAs introduced by coercion  {\"x\":{\"links\":{\"source\":[0,0,1,2,2,2,1,1,2,1,1,3,4,5,6,7,8,8,9,4,10,3,11,12,12,12,12,12,12,12,13,13,13,13,13,13,13,14,15,15,15,15,15,15,15,16,17,17,18,18,18,19,19,19,19,19,19,19,20,21,21,21,21,21,21],\"target\":[1,2,3,6,7,8,9,4,5,10,22,11,12,13,14,15,16,17,18,19,20,21,25,26,27,28,29,25,30,31,26,27,28,29,25,30,31,25,26,27,28,29,25,30,31,30,27,29,28,25,30,26,27,28,29,25,30,31,25,26,27,28,29,30,31],\"value\":[106,102,27,7,27,24,8,57,44,3,8,7,37,44,7,27,12,12,5,20,1,18,1,5,5,8,21,4,7,6,4,6,7,19,3,9,9,1,8,6,3,7,1,3,2,2,1,1,1,1,4,4,3,11,2,12,19,3,1,2,11,4,8,1,4]},\"nodes\":{\"name\":[\"Archaea\",\"Crenarchaeota\",\"Euryarchaeota\",\"C2\",\"Thaumarchaeota\",\"Thermoplasmata\",\"Halobacteria\",\"Methanobacteria\",\"Methanomicrobia\",\"SdNA\",\"Thermoprotei\",\"B10\",\"Cenarchaeales\",\"E2\",\"Halobacteriales\",\"Methanobacteriales\",\"Methanomicrobiales\",\"Methanosarcinales\",\"NRPJ\",\"Nitrososphaerales\",\"Sulfolobales\",\"pGrfC26\",\"pMC2A209\",\"FRESHWATER (CREEK)\",\"SEDIMENT (ESTUARY)\",\"SKIN\",\"FECES\",\"FRESHWATER\",\"MOCK\",\"OCEAN\",\"SOIL\",\"TONGUE\"],\"group\":[\"Archaea\",\"Crenarchaeota\",\"Euryarchaeota\",\"C2\",\"Thaumarchaeota\",\"Thermoplasmata\",\"Halobacteria\",\"Methanobacteria\",\"Methanomicrobia\",\"SdNA\",\"Thermoprotei\",\"B10\",\"Cenarchaeales\",\"E2\",\"Halobacteriales\",\"Methanobacteriales\",\"Methanomicrobiales\",\"Methanosarcinales\",\"NRPJ\",\"Nitrososphaerales\",\"Sulfolobales\",\"pGrfC26\",\"pMC2A209\",\"FRESHWATER (CREEK)\",\"SEDIMENT (ESTUARY)\",\"SKIN\",\"FECES\",\"FRESHWATER\",\"MOCK\",\"OCEAN\",\"SOIL\",\"TONGUE\"]},\"options\":{\"NodeID\":\"name\",\"NodeGroup\":\"name\",\"LinkGroup\":null,\"colourScale\":\"d3.scaleOrdinal(d3.schemeCategory20);\",\"fontSize\":7,\"fontFamily\":null,\"nodeWidth\":15,\"nodePadding\":10,\"units\":\"OTUs\",\"margin\":{\"top\":null,\"right\":null,\"bottom\":null,\"left\":null},\"iterations\":32,\"sinksRight\":true}},\"evals\":[],\"jsHooks\":[]}sankey_pq(GP, taxa = 1:4, min_prop_tax = 0.01)  {\"x\":{\"links\":{\"source\":[0,0,1,2,2,2,1,1,2,1,1,3,4,5,6,7,8,8,9,4,3],\"target\":[1,2,3,6,7,8,9,4,5,10,11,12,13,14,15,16,17,18,19,20,21],\"value\":[106,102,27,7,27,24,8,57,44,3,8,7,37,44,7,27,12,12,5,20,18]},\"nodes\":{\"name\":[\"Archaea\",\"Crenarchaeota\",\"Euryarchaeota\",\"C2\",\"Thaumarchaeota\",\"Thermoplasmata\",\"Halobacteria\",\"Methanobacteria\",\"Methanomicrobia\",\"SdNA\",\"Thermoprotei\",\"pMC2A209\",\"B10\",\"Cenarchaeales\",\"E2\",\"Halobacteriales\",\"Methanobacteriales\",\"Methanomicrobiales\",\"Methanosarcinales\",\"NRPJ\",\"Nitrososphaerales\",\"pGrfC26\"],\"group\":[\"Archaea\",\"Crenarchaeota\",\"Euryarchaeota\",\"C2\",\"Thaumarchaeota\",\"Thermoplasmata\",\"Halobacteria\",\"Methanobacteria\",\"Methanomicrobia\",\"SdNA\",\"Thermoprotei\",\"pMC2A209\",\"B10\",\"Cenarchaeales\",\"E2\",\"Halobacteriales\",\"Methanobacteriales\",\"Methanomicrobiales\",\"Methanosarcinales\",\"NRPJ\",\"Nitrososphaerales\",\"pGrfC26\"]},\"options\":{\"NodeID\":\"name\",\"NodeGroup\":\"name\",\"LinkGroup\":null,\"colourScale\":\"d3.scaleOrdinal(d3.schemeCategory20);\",\"fontSize\":7,\"fontFamily\":null,\"nodeWidth\":15,\"nodePadding\":10,\"units\":\"OTUs\",\"margin\":{\"top\":null,\"right\":null,\"bottom\":null,\"left\":null},\"iterations\":32,\"sinksRight\":true}},\"evals\":[],\"jsHooks\":[]}sankey_pq(GP, taxa = 1:4, min_prop_tax = 0.01, add_nb_seq = TRUE)  {\"x\":{\"links\":{\"source\":[0,0,1,2,1,2,3,4,5,3,6],\"target\":[1,2,6,5,3,4,7,8,9,10,11],\"value\":[79945,115653,22138,10377,56403,104475,25607,104475,10377,30796,21834]},\"nodes\":{\"name\":[\"Archaea\",\"Crenarchaeota\",\"Euryarchaeota\",\"Thaumarchaeota\",\"Thermoplasmata\",\"Methanobacteria\",\"C2\",\"Cenarchaeales\",\"E2\",\"Methanobacteriales\",\"Nitrososphaerales\",\"pGrfC26\"],\"group\":[\"Archaea\",\"Crenarchaeota\",\"Euryarchaeota\",\"Thaumarchaeota\",\"Thermoplasmata\",\"Methanobacteria\",\"C2\",\"Cenarchaeales\",\"E2\",\"Methanobacteriales\",\"Nitrososphaerales\",\"pGrfC26\"]},\"options\":{\"NodeID\":\"name\",\"NodeGroup\":\"name\",\"LinkGroup\":null,\"colourScale\":\"d3.scaleOrdinal(d3.schemeCategory20);\",\"fontSize\":7,\"fontFamily\":null,\"nodeWidth\":15,\"nodePadding\":10,\"units\":\"Sequences\",\"margin\":{\"top\":null,\"right\":null,\"bottom\":null,\"left\":null},\"iterations\":32,\"sinksRight\":true}},\"evals\":[],\"jsHooks\":[]}"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/save_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"A wrapper of write_pq to save in all three possible formats — save_pq","title":"A wrapper of write_pq to save in all three possible formats — save_pq","text":"wrapper write_pq save three possible formats","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/save_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"A wrapper of write_pq to save in all three possible formats — save_pq","text":"","code":"save_pq(physeq, path = NULL, ...)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/save_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"A wrapper of write_pq to save in all three possible formats — save_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. path path folder save phyloseq object ... arguments passed write_pq() utils::write.table() function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/save_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"A wrapper of write_pq to save in all three possible formats — save_pq","text":"Build folder (path) four csv tables (refseq.csv, otu_table.csv, tax_table.csv, sam_data.csv) + one table tables together + rdata file (physeq.RData) can loaded using base::load() function + present phylogenetic tree Newick format (phy_tree.txt)","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/save_pq.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"A wrapper of write_pq to save in all three possible formats — save_pq","text":"Write : 4 separate tables 1 table version 1 RData file","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/save_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"A wrapper of write_pq to save in all three possible formats — save_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/save_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"A wrapper of write_pq to save in all three possible formats — save_pq","text":"","code":"if (FALSE) {  save_pq(data_fungi, path = \"phyloseq\") }"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/search_exact_seq_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Search for exact matching of sequences using complement,\nreverse and reverse-complement — search_exact_seq_pq","text":"","code":"search_exact_seq_pq(physeq, seq2search)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/search_exact_seq_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Search for exact matching of sequences using complement,\nreverse and reverse-complement — search_exact_seq_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. seq2search DNAStringSet object sequences search .","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/search_exact_seq_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Search for exact matching of sequences using complement,\nreverse and reverse-complement — search_exact_seq_pq","text":"list data-frames input sequences name, sequences number occurrences original sequence, complement sequence, reverse sequence reverse-complement sequence.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/search_exact_seq_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Search for exact matching of sequences using complement,\nreverse and reverse-complement — search_exact_seq_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/search_exact_seq_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Search for exact matching of sequences using complement,\nreverse and reverse-complement — search_exact_seq_pq","text":"","code":"data(\"data_fungi\") search_primers <- search_exact_seq_pq(data_fungi,   seq2search = Biostrings::DNAStringSet(c(\"TTGAACGCACATTGCGCC\", \"ATCCCTACCTGATCCGAG\")) )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/select_one_sample.html","id":null,"dir":"Reference","previous_headings":"","what":"Select one sample from a physeq object — select_one_sample","title":"Select one sample from a physeq object — select_one_sample","text":"Mostly internal used, example function track_wkflow_samples().","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/select_one_sample.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Select one sample from a physeq object — select_one_sample","text":"","code":"select_one_sample(physeq, sam_name, silent = FALSE)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/select_one_sample.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Select one sample from a physeq object — select_one_sample","text":"physeq (required): phyloseq-class object obtained using phyloseq package. sam_name (required) sample name select silent (logical) true, message printing.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/select_one_sample.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Select one sample from a physeq object — select_one_sample","text":"physeq object one sample","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/select_one_sample.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Select one sample from a physeq object — select_one_sample","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/select_one_sample.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Select one sample from a physeq object — select_one_sample","text":"","code":"A8_005 <- select_one_sample(data_fungi, \"A8-005_S4_MERGED.fastq.gz\") #> You select 1 of 185 samples and conserved 83 out of 1420 taxa represented by 13875 sequences (out of 1839124 sequences [1%]) A8_005 #> phyloseq-class experiment-level object #> otu_table()   OTU Table:         [ 83 taxa and 1 samples ] #> sample_data() Sample Data:       [ 1 samples by 7 sample variables ] #> tax_table()   Taxonomy Table:    [ 83 taxa by 12 taxonomic ranks ] #> refseq()      DNAStringSet:      [ 83 reference sequences ]"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/select_taxa-methods.html","id":null,"dir":"Reference","previous_headings":"","what":"Select a subset of taxa in a specified order where possible — select_taxa","title":"Select a subset of taxa in a specified order where possible — select_taxa","text":"Select (subset ) taxa; x allows taxa reordered, taxa given specified order.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/select_taxa-methods.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Select a subset of taxa in a specified order where possible — select_taxa","text":"","code":"select_taxa(x, taxa, reorder = TRUE)  # S4 method for sample_data,character select_taxa(x, taxa)  # S4 method for otu_table,character select_taxa(x, taxa, reorder = TRUE)  # S4 method for taxonomyTable,character select_taxa(x, taxa, reorder = TRUE)  # S4 method for XStringSet,character select_taxa(x, taxa, reorder = TRUE)  # S4 method for phylo,character select_taxa(x, taxa)  # S4 method for phyloseq,character select_taxa(x, taxa, reorder = TRUE)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/select_taxa-methods.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Select a subset of taxa in a specified order where possible — select_taxa","text":"x phyloseq object phyloseq component object taxa Character vector taxa select, requested order reorder Logical specifying whether use order taxa (TRUE) keep order taxa_names(x) (FALSE)","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/select_taxa-methods.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Select a subset of taxa in a specified order where possible — select_taxa","text":"simple selector function like prune_taxa(taxa, x) taxa character vector always gives taxa order taxa possible (, except phy_tree's phyloseq objects contain phy_tree's).","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/select_taxa-methods.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Select a subset of taxa in a specified order where possible — select_taxa","text":"Michael R. McLaren (orcid: 0000-0003-1575-473X)","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/simplify_taxo.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Simplify taxonomy by removing some unused characters such as ","text":"","code":"simplify_taxo(physeq, remove_space = TRUE)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/simplify_taxo.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Simplify taxonomy by removing some unused characters such as ","text":"physeq (required): phyloseq-class object obtained using phyloseq package. remove_space (logical; default TRUE): remove space?","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/simplify_taxo.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Simplify taxonomy by removing some unused characters such as ","text":" phyloseq-class object simplified taxonomy","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/simplify_taxo.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Simplify taxonomy by removing some unused characters such as ","text":"Adrien Taudière","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subsample_fastq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Subsample a fastq file copying the n_seq first sequences in a given folder — subsample_fastq","text":"","code":"subsample_fastq(fastq_files, folder_output = \"subsample\", nb_seq = 1000)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subsample_fastq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Subsample a fastq file copying the n_seq first sequences in a given folder — subsample_fastq","text":"fastq_files path one fastq file list fastq files (see examples) folder_output path folder output files nb_seq (int; default 1000) : Number sequences kept (every sequence spread across 4 lines)","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subsample_fastq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Subsample a fastq file copying the n_seq first sequences in a given folder — subsample_fastq","text":"Nothing, create subsampled fastq files folder","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subsample_fastq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Subsample a fastq file copying the n_seq first sequences in a given folder — subsample_fastq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subsample_fastq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Subsample a fastq file copying the n_seq first sequences in a given folder — subsample_fastq","text":"","code":"if (FALSE) { ex_file <- system.file(\"extdata\", \"ex_R1_001.fastq.gz\",   package = \"MiscMetabar\",   mustWork = TRUE ) subsample_fastq(ex_file, \"your_path_to_output\") subsample_fastq(list_fastq_files(\"extdata\"), \"your_path_to_output\", n = 10) }"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subset_samples_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Subset samples using a conditional boolean vector. — subset_samples_pq","title":"Subset samples using a conditional boolean vector. — subset_samples_pq","text":"main objective function complete phyloseq::subset_samples() function propose easy (prone error) way subset_samples. replace subsetting expression used name variable sam_data boolean vector. Warnings: must verify result function boolean condition must match order samples sam_data slot. function robust use sam_data slot phyloseq object used physeq (see examples)","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subset_samples_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Subset samples using a conditional boolean vector. — subset_samples_pq","text":"","code":"subset_samples_pq(physeq, condition)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subset_samples_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Subset samples using a conditional boolean vector. — subset_samples_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. condition boolean vector subset samples. Length must fit number samples","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subset_samples_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Subset samples using a conditional boolean vector. — subset_samples_pq","text":"new phyloseq object","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subset_samples_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Subset samples using a conditional boolean vector. — subset_samples_pq","text":"","code":"cond_samp <- grepl(\"A1\", data_fungi@sam_data[[\"Sample_names\"]]) subset_samples_pq(data_fungi, cond_samp) #> phyloseq-class experiment-level object #> otu_table()   OTU Table:         [ 1420 taxa and 9 samples ] #> sample_data() Sample Data:       [ 9 samples by 7 sample variables ] #> tax_table()   Taxonomy Table:    [ 1420 taxa by 12 taxonomic ranks ] #> refseq()      DNAStringSet:      [ 1420 reference sequences ]  subset_samples_pq(data_fungi, data_fungi@sam_data[[\"Height\"]] == \"Low\") #> phyloseq-class experiment-level object #> otu_table()   OTU Table:         [ 1420 taxa and 45 samples ] #> sample_data() Sample Data:       [ 45 samples by 7 sample variables ] #> tax_table()   Taxonomy Table:    [ 1420 taxa by 12 taxonomic ranks ] #> refseq()      DNAStringSet:      [ 1420 reference sequences ]"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subset_taxa_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Subset taxa using a conditional named boolean vector. — subset_taxa_pq","title":"Subset taxa using a conditional named boolean vector. — subset_taxa_pq","text":"main objective function complete phyloseq::subset_taxa() function propose easy way subset_taxa using named boolean vector. Names must match taxa_names.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subset_taxa_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Subset taxa using a conditional named boolean vector. — subset_taxa_pq","text":"","code":"subset_taxa_pq(   physeq,   condition,   verbose = TRUE,   clean_pq = TRUE,   taxa_names_from_physeq = FALSE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subset_taxa_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Subset taxa using a conditional named boolean vector. — subset_taxa_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. condition named boolean vector subset taxa. Length must fit number taxa names must match taxa_names. Can also condition using column tax_table slot (see examples). order condition taxa_names(physeq), can use parameter taxa_names_from_physeq = TRUE. verbose (logical) Informations printed clean_pq (logical) set TRUE, empty samples discarded subsetting ASV taxa_names_from_physeq (logical) set TRUE, rename condition vector using taxa_names(physeq). Carefully check result function use parameter. effect condition class tax_table.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subset_taxa_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Subset taxa using a conditional named boolean vector. — subset_taxa_pq","text":"new phyloseq object","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subset_taxa_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Subset taxa using a conditional named boolean vector. — subset_taxa_pq","text":"","code":"subset_taxa_pq(data_fungi, data_fungi@tax_table[, \"Phylum\"] == \"Ascomycota\") #> Cleaning suppress 0 taxa (  ) and 0 sample(s) (  ). #> Number of non-matching ASV 0 #> Number of matching ASV 1420 #> Number of filtered-out ASV 354 #> Number of kept ASV 1066 #> Number of kept samples 185 #> phyloseq-class experiment-level object #> otu_table()   OTU Table:         [ 1066 taxa and 185 samples ] #> sample_data() Sample Data:       [ 185 samples by 7 sample variables ] #> tax_table()   Taxonomy Table:    [ 1066 taxa by 12 taxonomic ranks ] #> refseq()      DNAStringSet:      [ 1066 reference sequences ]  cond_taxa <- grepl(\"Endophyte\", data_fungi@tax_table[, \"Guild\"]) names(cond_taxa) <- taxa_names(data_fungi) subset_taxa_pq(data_fungi, cond_taxa) #> Cleaning suppress 0 taxa (  ) and 9 sample(s) ( A10-005-B_S188_MERGED.fastq.gz / A10-005-M_S190_MERGED.fastq.gz / BE9-006-H_S28_MERGED.fastq.gz / C21-NV1-M_S64_MERGED.fastq.gz / CA12-024_S66_MERGED.fastq.gz / H10-018-M_S110_MERGED.fastq.gz / L23-002-H_S123_MERGED.fastq.gz / O24-003-H_S146_MERGED.fastq.gz / O26-004-M_S150_MERGED.fastq.gz ). #> Number of non-matching ASV 0 #> Number of matching ASV 1420 #> Number of filtered-out ASV 1292 #> Number of kept ASV 128 #> Number of kept samples 176 #> phyloseq-class experiment-level object #> otu_table()   OTU Table:         [ 128 taxa and 176 samples ] #> sample_data() Sample Data:       [ 176 samples by 7 sample variables ] #> tax_table()   Taxonomy Table:    [ 128 taxa by 12 taxonomic ranks ] #> refseq()      DNAStringSet:      [ 128 reference sequences ]  subset_taxa_pq(data_fungi, grepl(\"mycor\", data_fungi@tax_table[, \"Guild\"]),   taxa_names_from_physeq = TRUE ) #> Cleaning suppress 0 taxa (  ) and 47 sample(s) ( A10-005-H_S189_MERGED.fastq.gz / A10-005-M_S190_MERGED.fastq.gz / A15-004_S3_MERGED.fastq.gz / A8-005_S4_MERGED.fastq.gz / BA16-036bis_S20_MERGED.fastq.gz / BB6-019-M_S25_MERGED.fastq.gz / BE9-006-B_S27_MERGED.fastq.gz / BE9-006-H_S28_MERGED.fastq.gz / BP11-001-H_S44_MERGED.fastq.gz / BP11-001-M_S45_MERGED.fastq.gz / BQ3-019_S48_MERGED.fastq.gz / BQ4-018-H_S50_MERGED.fastq.gz / C21-NV1-B_S62_MERGED.fastq.gz / C21-NV1-M_S64_MERGED.fastq.gz / C9-005_S65_MERGED.fastq.gz / CA9-027_S67_MERGED.fastq.gz / CB8-019-B_S69_MERGED.fastq.gz / CB8-019-M_S71_MERGED.fastq.gz / CC8-003_S74_MERGED.fastq.gz / D17-011_S77_MERGED.fastq.gz / D18-003-B_S78_MERGED.fastq.gz / D18-003-M_S80_MERGED.fastq.gz / DS1-ABM002-H_S92_MERGED.fastq.gz / DZ6-ABM-001_S99_MERGED.fastq.gz / F6-ABM-001_S105_MERGED.fastq.gz / F7-015-M_S106_MERGED.fastq.gz / H10-018-M_S110_MERGED.fastq.gz / N22-001-B_S129_MERGED.fastq.gz / N23-002-M_S132_MERGED.fastq.gz / N25-ABMX_S133_MERGED.fastq.gz / NVABM-0058_S134_MERGED.fastq.gz / NVABM0244-M_S137_MERGED.fastq.gz / O21-007-H_S143_MERGED.fastq.gz / O21-007-M_S144_MERGED.fastq.gz / O24-003-B_S145_MERGED.fastq.gz / O24-003-H_S146_MERGED.fastq.gz / O24-003-M_S147_MERGED.fastq.gz / O26-004-M_S150_MERGED.fastq.gz / P27-ABM001_S155_MERGED.fastq.gz / W26-001-M_S167_MERGED.fastq.gz / X24-009-B_S170_MERGED.fastq.gz / X24-009-H_S171_MERGED.fastq.gz / X24-009-M_S172_MERGED.fastq.gz / X24-010_S173_MERGED.fastq.gz / Y28-002-H_S179_MERGED.fastq.gz / Y28-002-M_S180_MERGED.fastq.gz / Z30-002_S186_MERGED.fastq.gz ). #> Number of non-matching ASV 0 #> Number of matching ASV 1420 #> Number of filtered-out ASV 1376 #> Number of kept ASV 44 #> Number of kept samples 138 #> phyloseq-class experiment-level object #> otu_table()   OTU Table:         [ 44 taxa and 138 samples ] #> sample_data() Sample Data:       [ 138 samples by 7 sample variables ] #> tax_table()   Taxonomy Table:    [ 44 taxa by 12 taxonomic ranks ] #> refseq()      DNAStringSet:      [ 44 reference sequences ]"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subset_taxa_tax_control.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Subset taxa using a taxa control (e.g. truffle root tips) through 3 methods. — subset_taxa_tax_control","text":"","code":"subset_taxa_tax_control(   physeq,   taxa_distri,   method = \"mean\",   min_diff_for_cutoff = NULL )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subset_taxa_tax_control.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Subset taxa using a taxa control (e.g. truffle root tips) through 3 methods. — subset_taxa_tax_control","text":"physeq (required): phyloseq-class object obtained using phyloseq package. taxa_distri (required) vector length equal number samples number sequences per samples taxa control method (default: \"mean\") method calculate cut-value. 6 available methods: cutoff_seq: discard taxa less number sequence taxa control, cutoff_mixt: using mixture models, cutoff_diff: using minimum difference threshold (need argument min_diff_for_cutoff) min: minimum three firsts methods max: maximum three firsts methods mean: mean three firsts methods min_diff_for_cutoff (int) argument method cutoff_diff. Required method cutoff_diff, min, max mean","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subset_taxa_tax_control.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Subset taxa using a taxa control (e.g. truffle root tips) through 3 methods. — subset_taxa_tax_control","text":"new phyloseq-class object.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subset_taxa_tax_control.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Subset taxa using a taxa control (e.g. truffle root tips) through 3 methods. — subset_taxa_tax_control","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subset_taxa_tax_control.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Subset taxa using a taxa control (e.g. truffle root tips) through 3 methods. — subset_taxa_tax_control","text":"","code":"subset_taxa_tax_control(data_fungi,   as.numeric(data_fungi@otu_table[, 300]),   min_diff_for_cutoff = 2 ) #> number of iterations= 4  #> number of iterations= 21  #> number of iterations= 7  #> number of iterations= 19  #> number of iterations= 14  #> number of iterations= 26  #> Error in stats::uniroot(f = f, lower = 1, upper = 1000) :  #>   f.upper = f(upper) is NA #> Warning: NAs introduced by coercion #> number of iterations= 8  #> number of iterations= 4  #> number of iterations= 5  #> number of iterations= 3  #> number of iterations= 7  #> number of iterations= 7  #> number of iterations= 6  #> number of iterations= 23  #> number of iterations= 6  #> number of iterations= 40  #> number of iterations= 12  #> number of iterations= 8  #> number of iterations= 5  #> number of iterations= 7  #> number of iterations= 13  #> number of iterations= 9  #> number of iterations= 6  #> number of iterations= 17  #> number of iterations= 3  #> number of iterations= 12  #> number of iterations= 8  #> number of iterations= 23  #> One of the variances is going to zero;  trying new starting values. #> number of iterations= 7  #> number of iterations= 11  #> number of iterations= 11  #> number of iterations= 14  #> number of iterations= 16  #> number of iterations= 8  #> number of iterations= 16  #> number of iterations= 7  #> number of iterations= 10  #> number of iterations= 8  #> number of iterations= 10  #> number of iterations= 4  #> number of iterations= 7  #> number of iterations= 22  #> number of iterations= 4  #> number of iterations= 6  #> number of iterations= 15  #> number of iterations= 9  #> number of iterations= 14  #> number of iterations= 7  #> number of iterations= 8  #> number of iterations= 5  #> number of iterations= 20  #> number of iterations= 23  #> number of iterations= 11  #> number of iterations= 12  #> number of iterations= 12  #> number of iterations= 7  #> number of iterations= 31  #> number of iterations= 27  #> number of iterations= 18  #> number of iterations= 6  #> number of iterations= 25  #> number of iterations= 19  #> number of iterations= 6  #> number of iterations= 4  #> number of iterations= 9  #> number of iterations= 12  #> number of iterations= 8  #> Error in stats::uniroot(f = f, lower = 1, upper = 1000) :  #>   f.upper = f(upper) is NA #> Warning: NAs introduced by coercion #> number of iterations= 15  #> number of iterations= 6  #> number of iterations= 11  #> number of iterations= 5  #> number of iterations= 13  #> number of iterations= 6  #> number of iterations= 5  #> number of iterations= 18  #> number of iterations= 14  #> number of iterations= 5  #> number of iterations= 10  #> Error in stats::uniroot(f = f, lower = 1, upper = 1000) :  #>   f.upper = f(upper) is NA #> Warning: NAs introduced by coercion #> number of iterations= 9  #> number of iterations= 10  #> number of iterations= 13  #> number of iterations= 4  #> number of iterations= 12  #> number of iterations= 15  #> number of iterations= 8  #> number of iterations= 10  #> number of iterations= 5  #> number of iterations= 6  #> Warning: no non-missing arguments to min; returning Inf #> number of iterations= 25  #> number of iterations= 8  #> number of iterations= 8  #> number of iterations= 13  #> number of iterations= 12  #> number of iterations= 26  #> number of iterations= 5  #> number of iterations= 12  #> One of the variances is going to zero;  trying new starting values. #> One of the variances is going to zero;  trying new starting values. #> One of the variances is going to zero;  trying new starting values. #> number of iterations= 6  #> number of iterations= 26  #> number of iterations= 10  #> number of iterations= 5  #> number of iterations= 9  #> number of iterations= 9  #> number of iterations= 6  #> number of iterations= 6  #> Error in stats::uniroot(f = f, lower = 1, upper = 1000) :  #>   f.upper = f(upper) is NA #> Warning: NAs introduced by coercion #> number of iterations= 10  #> number of iterations= 9  #> number of iterations= 13  #> number of iterations= 15  #> number of iterations= 7  #> number of iterations= 13  #> number of iterations= 17  #> number of iterations= 16  #> number of iterations= 15  #> number of iterations= 12  #> number of iterations= 6  #> number of iterations= 19  #> number of iterations= 5  #> Warning: no non-missing arguments to min; returning Inf #> Warning: no non-missing arguments to min; returning Inf #> number of iterations= 12  #> Warning: no non-missing arguments to min; returning Inf #> number of iterations= 11  #> number of iterations= 4  #> number of iterations= 6  #> number of iterations= 10  #> number of iterations= 17  #> number of iterations= 9  #> number of iterations= 13  #> number of iterations= 11  #> Warning: no non-missing arguments to min; returning Inf #> number of iterations= 7  #> number of iterations= 22  #> number of iterations= 6  #> One of the variances is going to zero;  trying new starting values. #> number of iterations= 8  #> number of iterations= 6  #> number of iterations= 17  #> number of iterations= 6  #> number of iterations= 7  #> number of iterations= 5  #> number of iterations= 7  #> number of iterations= 14  #> number of iterations= 5  #> number of iterations= 5  #> number of iterations= 6  #> One of the variances is going to zero;  trying new starting values. #> One of the variances is going to zero;  trying new starting values. #> number of iterations= 5  #> number of iterations= 19  #> number of iterations= 11  #> The filtering processes discard 64 taxa and 36525 sequences #> phyloseq-class experiment-level object #> otu_table()   OTU Table:         [ 1356 taxa and 185 samples ] #> sample_data() Sample Data:       [ 185 samples by 7 sample variables ] #> tax_table()   Taxonomy Table:    [ 1356 taxa by 12 taxonomic ranks ] #> refseq()      DNAStringSet:      [ 1356 reference sequences ]"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/summary_plot_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summarise a phyloseq-class object using a plot. — summary_plot_pq","text":"","code":"summary_plot_pq(   physeq,   add_info = TRUE,   min_seq_samples = 500,   clean_pq = TRUE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/summary_plot_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summarise a phyloseq-class object using a plot. — summary_plot_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. add_info bottom corner contain extra informations? min_seq_samples (int): Used add_info set true print number samples less sequences number. clean_pq (logical): phyloseq object cleaned using clean_pq() function?","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/summary_plot_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summarise a phyloseq-class object using a plot. — summary_plot_pq","text":"ggplot2 object","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/summary_plot_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarise a phyloseq-class object using a plot. — summary_plot_pq","text":"","code":"summary_plot_pq(data_fungi) #> Cleaning suppress 0 taxa and 0 samples.  summary_plot_pq(data_fungi, add_info = FALSE) + scale_fill_viridis_d() #> Cleaning suppress 0 taxa and 0 samples. #> Scale for fill is already present. #> Adding another scale for fill, which will replace the existing scale."},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/swarm_clustering.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Re-cluster sequences of an object of class physeq\nor cluster a list of DNA sequences using SWARM — swarm_clustering","text":"","code":"swarm_clustering(   physeq = NULL,   dna_seq = NULL,   d = 1,   swarmpath = \"swarm\",   vsearch_path = \"vsearch\",   nproc = 1,   swarm_args = \"--fastidious\",   tax_adjust = 0,   keep_temporary_files = FALSE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/swarm_clustering.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Re-cluster sequences of an object of class physeq\nor cluster a list of DNA sequences using SWARM — swarm_clustering","text":"physeq (required): phyloseq-class object obtained using phyloseq package. dna_seq WORKING MOMENT may directly use character vector DNA sequences place physeq args. physeq set, dna sequences take value physeq@refseq d (default: 1) maximum number differences allowed two amplicons, meaning two amplicons grouped d (less) differences swarmpath (default: swarm) path swarm vsearch_path (default: vsearch) path vsearch, used physeq NULL dna_seq provided. nproc (default: 1) Set number cpus/processors use clustering swarm_args (default : \"--fastidious\") one length character element defining parameters  passed swarm See possible methods SWARM pdf manual tax_adjust (Default 0) See man page merge_taxa_vec() details. conserved taxonomic rank abundant ASV, keep_temporary_files (logical, default: FALSE) keep temporary files ? temp.fasta (refseq fasta dna_seq sequences) temp_output (classical output SWARM) temp_uclust (clusters output SWARM)","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/swarm_clustering.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Re-cluster sequences of an object of class physeq\nor cluster a list of DNA sequences using SWARM — swarm_clustering","text":"new object class physeq list cluster dna_seq args used.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/swarm_clustering.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Re-cluster sequences of an object of class physeq\nor cluster a list of DNA sequences using SWARM — swarm_clustering","text":"function use merge_taxa_vec function merge taxa clusters. default tax_adjust = 0. See man page merge_taxa_vec(). function mainly wrapper work others. Please cite SWARM.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/swarm_clustering.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Re-cluster sequences of an object of class physeq\nor cluster a list of DNA sequences using SWARM — swarm_clustering","text":"SWARM can downloaded https://github.com/torognes/swarm/. SWARM can downloaded https://github.com/torognes/swarm. information associated publications doi:10.1093/bioinformatics/btab493  doi:10.7717/peerj.593","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/swarm_clustering.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Re-cluster sequences of an object of class physeq\nor cluster a list of DNA sequences using SWARM — swarm_clustering","text":"","code":"if (FALSE) { # MiscMetabar:::is_swarm_installed() summary_plot_pq(data_fungi) system2(\"swarm\", \"-h\")  data_fungi_swarm <- swarm_clustering(data_fungi) summary_plot_pq(data_fungi_swarm)  sequences_ex <- c(   \"TACCTATGTTGCCTTGGCGGCTAAACCTACCCGGGATTTGATGGGGCGAATTAATAACGAATTCATTGAATCA\",   \"TACCTATGTTGCCTTGGCGGCTAAACCTACCCGGGATTTGATGGGGCGAATTACCTGGTAAGGCCCACTT\",   \"TACCTATGTTGCCTTGGCGGCTAAACCTACCCGGGATTTGATGGGGCGAATTACCTGGTAGAGGTG\",   \"TACCTATGTTGCCTTGGCGGCTAAACCTACC\",   \"CGGGATTTGATGGCGAATTACCTGGTATTTTAGCCCACTTACCCGGTACCATGAGGTG\",   \"GCGGCTAAACCTACCCGGGATTTGATGGCGAATTACCTGG\",   \"GCGGCTAAACCTACCCGGGATTTGATGGCGAATTACAAAG\",   \"GCGGCTAAACCTACCCGGGATTTGATGGCGAATTACAAAG\",   \"GCGGCTAAACCTACCCGGGATTTGATGGCGAATTACAAAG\" )  sequences_ex_swarm <- swarm_clustering(   dna_seq = sequences_ex ) }"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tax_bar_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot the distribution of sequences or ASV in one taxonomic levels — tax_bar_pq","text":"","code":"tax_bar_pq(   physeq,   fact = \"Sample\",   taxa = \"Order\",   percent_bar = FALSE,   nb_seq = TRUE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tax_bar_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot the distribution of sequences or ASV in one taxonomic levels — tax_bar_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. fact Name factor cluster samples modalities. Need physeq@sam_data. taxa (default: 'Order') Name taxonomic rank interest percent_bar (default FALSE) TRUE, stacked bar fill space 0 1. just set position = \"fill\" ggplot2::geom_bar() function nb_seq (logical; default TRUE) set FALSE, number ASV count. Concretely, physeq otu_table transformed binary otu_table (value different zero set one)","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tax_bar_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot the distribution of sequences or ASV in one taxonomic levels — tax_bar_pq","text":"ggplot2 plot  bar representing number sequence en taxonomic groups","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tax_bar_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot the distribution of sequences or ASV in one taxonomic levels — tax_bar_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tax_bar_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot the distribution of sequences or ASV in one taxonomic levels — tax_bar_pq","text":"","code":"data_fungi_ab <- subset_taxa_pq(data_fungi, taxa_sums(data_fungi) > 10000) #> Cleaning suppress 0 taxa (  ) and 15 sample(s) ( BE9-006-B_S27_MERGED.fastq.gz / C21-NV1-M_S64_MERGED.fastq.gz / DJ2-008-B_S87_MERGED.fastq.gz / DY5-004-H_S97_MERGED.fastq.gz / DY5-004-M_S98_MERGED.fastq.gz / E9-009-B_S100_MERGED.fastq.gz / E9-009-H_S101_MERGED.fastq.gz / N22-001-B_S129_MERGED.fastq.gz / O20-X-B_S139_MERGED.fastq.gz / O21-007-M_S144_MERGED.fastq.gz / R28-008-H_S159_MERGED.fastq.gz / R28-008-M_S160_MERGED.fastq.gz / W26-001-M_S167_MERGED.fastq.gz / Y29-007-H_S182_MERGED.fastq.gz / Y29-007-M_S183_MERGED.fastq.gz ). #> Number of non-matching ASV 0 #> Number of matching ASV 1420 #> Number of filtered-out ASV 1385 #> Number of kept ASV 35 #> Number of kept samples 170 tax_bar_pq(data_fungi_ab) + theme(legend.position = \"none\")  tax_bar_pq(data_fungi_ab, taxa = \"Class\")  tax_bar_pq(data_fungi_ab, taxa = \"Class\", percent_bar = TRUE)  tax_bar_pq(data_fungi_ab, taxa = \"Class\", fact = \"Time\") #> Warning: Removed 770 rows containing missing values (`position_stack()`)."},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tax_datatable.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Make a datatable with the taxonomy of a phyloseq-class object — tax_datatable","text":"","code":"tax_datatable(   physeq,   abundance = TRUE,   taxonomic_level = NULL,   modality = NULL,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tax_datatable.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Make a datatable with the taxonomy of a phyloseq-class object — tax_datatable","text":"physeq (required): phyloseq-class object obtained using phyloseq package. abundance (default: TRUE) number sequences print taxonomic_level (default: NULL) vector selected taxonomic level using column numbers (e.g. taxonomic_level = 1:7) modality (default: NULL) sample modality split OTU abundancy level modality ... argument datatable function","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tax_datatable.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Make a datatable with the taxonomy of a phyloseq-class object — tax_datatable","text":"datatable","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tax_datatable.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Make a datatable with the taxonomy of a phyloseq-class object — tax_datatable","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tax_datatable.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Make a datatable with the taxonomy of a phyloseq-class object — tax_datatable","text":"","code":"data(\"GlobalPatterns\", package = \"phyloseq\") tax_datatable(subset_taxa(   GlobalPatterns,   rowSums(GlobalPatterns@otu_table) > 10000 )) #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’  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va\",\"Thioclava\",\"Thioclava\",\"Thioclava\",\"Thioclava\",\"Thioclava\",\"Thioclava\",\"Thioclava\",null,null,null,null,\"Rhodobaca\",\"Rhodobaca\",\"Rhodobaca\",\"Rhodobaca\",\"Rhodobaca\",\"Rhodobaca\",\"Rhodobaca\",null,\"Rhodovulum\",\"Rhodovulum\",\"Rhodovulum\",\"Rhodovulum\",null,null,\"Amaricoccus\",\"Amaricoccus\",\"Amaricoccus\",\"Amaricoccus\",\"Amaricoccus\",\"Amaricoccus\",\"Amaricoccus\",\"Amaricoccus\",\"Amaricoccus\",\"Amaricoccus\",\"Amaricoccus\",\"Amaricoccus\",\"Amaricoccus\",\"Amaricoccus\",\"Amaricoccus\",\"Amaricoccus\",\"Amaricoccus\",\"Amaricoccus\",\"Amaricoccus\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Afifella\",\"Afifella\",\"Hirschia\",null,null,null,null,null,\"Hyphomonas\",\"Hyphomonas\",\"Hyphomonas\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Maricaulis\",\"Maricaulis\",null,\"Oceanicaulis\",\"Oceanicaulis\",null,null,null,null,null,null,null,null,null,null,null,null,null,\"Asticcacaulis\",\"Asticcacaulis\",null,null,null,null,null,\"Brevundimonas\",\"Brevundimonas\",\"Brevundimonas\",\"Brevundimonas\",\"Brevundimonas\",\"Brevundimonas\",\"Brevundimonas\",\"Mycoplana\",null,\"Brevundimonas\",null,null,null,null,null,null,null,null,null,null,\"Phenylobacterium\",\"Phenylobacterium\",\"Phenylobacterium\",\"Phenylobacterium\",\"Phenylobacterium\",\"Phenylobacterium\",\"Phenylobacterium\",\"Phenylobacterium\",\"Phenylobacterium\",\"Phenylobacterium\",\"Phenylobacterium\",\"Phenylobacterium\",\"Phenylobacterium\",null,null,null,null,null,null,\"Caulobacter\",\"Caulobacter\",\"Caulobacter\",\"Caulobacter\",\"Caulobacter\",\"Caulobacter\",\"Caulobacter\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Phaeospirillum\",null,null,null,null,null,null,\"Inquilinus\",\"Inquilinus\",\"Inquilinus\",\"Inquilinus\",\"Inquilinus\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Rhodovibrio\",\"Rhodovibrio\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Azospirillum\",\"Azospirillum\",null,null,null,null,\"Rhodospirillum\",\"Azospirillum\",\"Azospirillum\",\"Azospirillum\",\"Azospirillum\",\"Azospirillum\",\"Azospirillum\",\"Azospirillum\",\"Azospirillum\",\"Azospirillum\",\"Azospirillum\",null,null,\"Skermanella\",\"Skermanella\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Rhodothalassium\",null,null,null,null,null,null,null,null,null,null,null,\"Roseococcus\",\"Roseococcus\",\"Roseococcus\",null,null,null,null,null,\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Acidisoma\",\"Acidisoma\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Gluconobacter\",\"Acetobacter\",null,\"Asaia\",null,\"Acidomonas\",\"Acidomonas\",null,\"Gluconacetobacter\",null,null,null,null,null,null,null,null,null,null,null,null,null,\"Acidocella\",\"Acidocella\",\"Acidocella\",\"Acidocella\",\"Acidocella\",\"Acidiphilium\",\"Acidiphilium\",\"Acidiphilium\",\"Acidiphilium\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Novispirillum\",\"Novispirillum\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Telmatospirillum\",\"Telmatospirillum\",\"Telmatospirillum\",\"Telmatospirillum\",null,null,\"Magnetospi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Thermosinus\",\"Thermosinus\",\"Thermosinus\",\"Thermosinus\",\"Thermosinus\",\"Thermosinus\",null,null,null,null,\"Anaeroglobus\",\"Anaeroglobus\",\"Dialister\",\"Dialister\",\"Dialister\",\"Dialister\",\"Dialister\",\"Dialister\",\"Dialister\",\"Dialister\",\"Dialister\",\"Dialister\",\"Dialister\",\"Dialister\",\"Dialister\",\"Veillonella\",\"Veillonella\",\"Veillonella\",\"Veillonella\",\"Veillonella\",\"Veillonella\",\"Veillonella\",\"Veillonella\",\"Veillonella\",\"Veillonella\",\"Veillonella\",null,\"Thermincola\",\"Thermincola\",null,null,null,null,null,\"Desulfitobacterium\",\"Desulfitobacterium\",\"Desulfitobacterium\",\"Desulfitobacterium\",\"Desulfitobacterium\",\"Desulfitobacterium\",\"Desulfitobacterium\",\"Desulfosporosinus\",\"Desulfosporosinus\",\"Desulfosporosinus\",\"Desulfosporosinus\",\"Desulfosporosinus\",\"Desulfosporosinus\",\"Desulfosporosinus\",\"Desulfosporosinus\",\"Desulfosporosinus\",null,\"Dehalobacterium\",\"Dehalobacterium\",\"Dehalobacterium\",\"Dehalobacterium\",\"Dehalobacterium\",\"Dehalobacterium\",\"Dehalobacterium\",\"Dehalobacterium\",\"Dehalobacterium\",\"Dehalobacterium\",null,null,null,\"Peptococcus\",\"Peptococcus\",\"Desulfotomaculum\",\"Pelotomaculum\",\"Pelotomaculum\",\"Pelotomaculum\",\"Pelotomaculum\",\"Pelotomaculum\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Fervidobacterium\",\"Thermanaerovibrio\",null,\"Cloacibacillus\",\"TG5\",\"TG5\",\"Jonquetella\",\"Pyramidobacter\",\"Coprothermobacter\",null,null,null,null,null],[null,null,\"Sulfolobusacidocaldarius\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Cenarchaeumsymbiosum\",\"Cenarchaeumsymbiosum\",null,null,null,null,null,\"pIVWA5\",\"pIVWA5\",\"pIVWA5\",null,null,null,null,\"CandidatusNitrososphaeragargensis\",\"CandidatusNitrososphaeragargensis\",\"CandidatusNitrososphaeragargensis\",\"CandidatusNitrososphaeragargensis\",\"CandidatusNitrososphaeragargensis\",\"CandidatusNitrososphaeragargensis\",\"SCA1145\",\"SCA1145\",\"SCA1145\",\"SCA1145\",null,\"SCA1170\",\"SCA1170\",\"SCA1170\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Haloterrigenathermotolerans\",\"Haloterrigenathermotolerans\",\"Halomicrobiummukohataei\",null,null,null,\"Methanosaetathermophila\",null,null,null,null,null,\"Methanosarcinaacetivorans\",\"Methanosarcinamazei\",\"Methanosarcinamazei\",null,null,\"Methanosphaerulapalustris\",\"Methanosphaerulapalustris\",null,null,null,null,null,null,null,null,null,\"Methanocorpusculumlabreanum\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Methanobacteriumbryantii\",null,null,\"Methanobacteriumbeijingense\",null,null,null,null,\"Methanosphaerastadtmanae\",null,null,null,null,\"Methanobrevibacterarboriphilus\",null,\"Methanobrevibactersmithii\",null,null,null,null,null,null,null,\"Propionibacteriumacnes\",\"Propionibacteriumgranulosum\",\"Propionibacteriumacidipropionici\",null,\"Aestuariimicrobiumkwangyangense\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Nocardioideslentus\",null,null,null,null,null,null,null,null,\"Nocardioidesalkalitolerans\",null,\"Nocardioidesalbus\",\"Nocardioidesalbus\",null,null,null,\"Nocardioidesoleivorans\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Kribbellaaluminosa\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null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null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Pseudanabaenasp.PCC6903\",\"Pseudanabaenasp.PCC6903\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Sulfuricurvumkujiense\",null,null,null,null,null,null,null,null,null,null,\"Sulfurimonasdenitrificans\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Campylobacterfetus\",\"Campylobacterlanienae\",null,null,null,null,\"Campylobacterhelveticus\",null,\"Campylobactercurvus\",\"Campylobactergracilis\",\"Campylobacterhominis\",\"Bacteroidesureolyticus\",\"Campylobactermucosalis\",\"Campylobacterconcisus\",null,null,null,null,null,null,null,null,null,null,null,\"Arcobactercryaerophilus\",null,\"Arcobacterbutzleri\",null,\"Arcobacternitrofigilis\",null,null,null,null,null,null,null,null,null,null,null,\"Mariprofundusferrooxydans\",null,null,null,null,null,null,null,\"Hydrogenophilushalorhabdus\",null,\"Hydrogenophilusthermoluteolus\",\"CandidatusTremblayaprinceps\",\"CandidatusTremblayaprinceps\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"CandidatusBurkholderiakirkii\",null,null,null,null,null,\"Burkholderiagraminis\",null,null,null,null,null,null,null,null,null,null,null,\"Burkholderiatropica\",null,null,null,null,null,null,null,\"Burkholderiasordidicola\",null,null,null,null,null,null,\"Burkholderiamultivorans\",\"Burkholderiaandropogonis\",\"Burkholderiaandropogonis\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Sutterellaparvirubra\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Pelistegaeuropaea\",null,null,null,null,null,null,\"Alcaligenesfaecalis\",\"Alcaligenesfaecalis\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Microvirgulaaerodenitrificans\",\"Laribacterhongkongensis\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Eikenellacorrodens\",null,\"Bergerielladenitrificans\",null,\"Neisserialactamica\",null,null,null,null,null,null,null,\"Conchiformibiussteedae\",\"Conchiformibiuskuhniae\",\"Conchiformibiuskuhniae\",\"Kingellakingae\",null,null,null,null,null,null,\"Simonsiellamuelleri\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Methyloteneramobilis\",null,null,null,null,null,null,null,null,null,null,null,null,\"Methylobacillusflagellatus\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Nitrosococcusmobilis\",null,null,\"Nitrosospiramultiformis\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Methyloversatilisuniversalis\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Thauerasp.MZ1T\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Azonexusfungiphilus\",null,null,null,null,null,null,null,null,null,null,\"Dechloromonasaromatica\",null,null,null,null,null,null,null,null,\"Rhodocyclustenuis\",\"Rhodocyclustenuis\",\"Rhodocyclustenuis\",\"Rhodocyclustenuis\",\"Rhodocyclustenuis\",\"Rhodocyclustenuis\",\"Rhodocyclustenuis\",\"Rhodocyclustenuis\",\"Rhodocyclustenuis\",\"Rhodocyclustenuis\",\"Rhodocyclustenuis\",\"Rhodocyclustenuis\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,n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ll,null,\"Vibriosp.AND4\",null,null,null,null,null,\"Vibriometschnikovii\",null,null,\"Vibriovulnificus\",\"Vibriovulnificus\",null,\"Vibrioproteolyticus\",null,\"Vibrioagarivorans\",\"Vibriogallicus\",\"Vibrioichthyoenteri\",null,null,null,null,\"Vibrioorientalis\",\"Vibrioorientalis\",\"Vibrioorientalis\",\"Vibrioorientalis\",\"Vibrioorientalis\",\"Vibrioorientalis\",\"Vibrioorientalis\",null,null,null,null,null,null,null,\"Vibriocholerae\",null,null,null,null,null,null,null,null,null,null,\"Vibriorumoiensis\",null,null,null,null,null,null,null,null,null,\"Photobacteriumrosenbergii\",\"Photobacteriumdamselae\",null,null,\"Salinivibriocosticola\",\"Salinivibriocosticola\",null,null,null,null,\"Grimontiahollisae\",\"Moritellaviscosa\",\"Shewanellabenthica\",\"Shewanellasediminis\",\"Shewanellahanedai\",null,null,null,null,null,\"Shewanellaloihica\",null,null,null,\"Shewanelladenitrificans\",\"Shewanellafrigidimarina\",null,null,null,\"Shewanellaoneidensis\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Zobellellataiwanensis\",null,null,null,null,null,null,null,null,\"BisgaardTaxon14\",null,null,null,\"Actinobacillusporcinus\",\"Actinobacillusporcinus\",\"Actinobacillusrossii\",\"Mannheimiasucciniciproducens\",null,\"Pasteurellamultocida\",null,null,null,null,null,null,\"Actinobacilluscapsulatus\",\"Bibersteiniatrehalosi\",\"Bibersteiniatrehalosi\",null,null,null,null,\"Haemophilusducreyi\",null,\"Haemophilusparahaemolyticus\",null,\"Actinobacilluspleuropneumoniae\",null,null,\"Actinobacillusindolicus\",null,null,null,\"Volucribacterpsittacicida\",\"Gallibacteriumanatis\",\"Gallibacteriummelopsittaci\",null,\"Gallibacteriumgenomosp.3\",null,null,null,null,null,\"Haemophilusparainfluenzae\",\"Haemophilusparainfluenzae\",\"Haemophilusparainfluenzae\",\"Haemophilusparainfluenzae\",\"BisgaardTaxon10\",\"Actinobacillussuccinogenes\",\"Pasteurellaaerogenes\",\"Aggregatibacteractinomycetemcomitans\",\"Aggregatibactersegnis\",\"Pasteurellapneumotropica\",null,null,null,null,\"Haemophilusinfluenzae\",\"Haemophilusinfluenzae\",\"Histophilussomni\",null,null,null,null,null,\"Edwardsiellaictaluri\",null,null,\"CandidatusHamiltonelladefensa\",\"CandidatusRegiellainsecticola\",null,\"Brenneriaquercina\",null,\"Sodalisglossinidius\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"CandidatusBlochmanniafloridanus\",null,null,\"CandidatusBaumanniacicadellinicola\",\"CandidatusBaumanniacicadellinicola\",null,null,\"Plesiomonasshigelloides\",null,null,null,\"Brenneriarubrifaciens\",null,null,null,null,null,null,null,null,null,\"Serratiamarcescens\",\"Serratiamarcescens\",null,null,\"Raoultellaornithinolytica\",null,null,null,null,null,\"CandidatusSerratiasymbiotica\",null,null,null,null,null,null,null,\"symbiontofNoeetapupillata\",null,null,null,null,null,null,\"Enterobacterpulveris\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Enterobactercowanii\",\"Citrobacterfarmeri\",\"Citrobacterrodentium\",null,null,null,null,null,\"Buttiauxellaagrestis\",null,null,\"Enterobacterhormaechei\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Klebsiellaoxytoca\",null,null,null,null,null,null,\"Pantoeaoleae\",null,null,null,null,null,null,null,null,null,null,\"Pantoeaananatis\",\"Pantoeaananatis\",\"Pantoeaananatis\",\"Pantoeaananatis\",\"Pantoeaananatis\",null,null,null,null,null,null,\"Erwiniatoletana\",null,null,null,null,\"Proteusmirabilis\",\"Xenorhabdusnematophila\",\"Xenorhabduskozodoii\",\"Photorhabdustemperata\",\"Photorhabdustemperata\",null,null,\"Xenorhabdusbudapestensis\",null,\"Xenorhabduscabanillasii\",\"Xenorhabdusstockiae\",null,null,null,null,\"ArsenophonusendosymbiontofDermacentorvariabilis\",null,\"CandidatusPhlomobacterfragariae\",null,null,\"Anaerobiospirillumsucciniciproducens\",null,\"Tolumonasauensis\",null,null,null,null,null,null,\"Psychrobactercryohalolentis\",null,\"Psychrobacterpacificensis\",null,null,null,null,null,null,\"Psychrobactersp.PRwf-1\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Alkanindigeshongkongensis\",null,null,null,null,null,null,null,null,null,null,null,null,\"Acinetobacterursingii\",\"Acinetobactersp.ADP1\",\"Acinetobacterrhizosphaerae\",\"Acinetobacterrhizosphaerae\",null,null,null,null,null,\"Acinetobacterlwoffii\",\"Acinetobacterlwoffii\",\"Acinetobacterlwoffii\",null,null,null,null,\"Acinetobacterradioresistens\",null,null,null,null,\"Acinetobacterjohnsonii\",\"Acinetobacterjohnsonii\",\"Acinetobacterjohnsonii\",\"Acinetobacterjohnsonii\",\"Acinetobacterjohnsonii\",\"Acinetobacterjohnsonii\",\"Acinetobacterjohnsonii\",\"Acinetobacterjohnsonii\",\"Acinetobacterjohnsonii\",\"Acinetobacterjohnsonii\",\"Acinetobacterjohnsonii\",\"Acinetobacterjohnsonii\",\"Acinetobacterjohnsonii\",\"Acinetobacterjohnsonii\",\"Acinetobacterjohnsonii\",null,null,null,null,nul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null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Thiothrixeikelboomii\",\"Thiothrixflexilis\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"gammaproteobacteriumendosymbiontofSiboglinumfiordicum\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Legionellapneumophila\",\"Legionellapneumophila\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Legionellabrunensis\",null,null,\"Tatlockiamaceachernii\",null,null,null,null,null,null,null,\"Legionellayabuuchiae\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Coxiellaburnetii\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Thioplocaingrica\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Thiobacillusprosperus\",null,null,null,null,null,null,null,null,\"Thioalkalivibriosp.HL-EbGR7\",null,null,null,\"Ectothiorhodospirasp.BogoriaRed\",null,null,null,\"Nitrosococcusoceani\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Thiohalomonasdenitrificans\",\"Thiohalomonasdenitrificans\",null,\"Thiohalospirahalophila\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Thiorhodovibriowinogradskyi\",\"Thiorhodovibriowinogradskyi\",\"Thiorhodovibriowinogradskyi\",null,null,null,null,null,null,null,null,null,\"Allochromatiumvinosum\",\"Allochromatiumvinosum\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Achromatiumoxaliferum\",\"Achromatiumoxaliferum\",\"Achromatiumoxaliferum\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Solimonassoli\",null,null,null,null,null,\"Nevskiaramosa\",\"Nevskiaramosa\",null,\"Hydrocarboniphagaeffusa\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Lysobactertaiwanensis\",null,null,\"Thermomonasfusca\",\"Thermomonasfusca\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Xanthomonasaxonopodis\",null,\"Pseudoxanthomonastaiwanensis\",\"Pseudoxanthomonasmexicana\",\"Pseudoxanthomonasmexicana\",null,null,null,null,null,null,null,null,null,\"Pseudomonasgeniculata\",null,null,\"Stenotrophomonaskoreensis\",\"Stenotrophomonaskoreensis\",null,null,null,null,null,null,\"Luteimonasmephitis\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Rhodanobacterlindaniclasticus\",\"Rhodanobacterlindaniclasticus\",null,null,null,null,null,null,null,null,\"Dyellajaponica\",\"Dyellajaponica\",null,\"Luteibacterrhizovicinus\",null,null,null,null,\"Frateuriaaurantia\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"CandidatusPelagibacterubique\",\"CandidatusPelagibacterubique\",\"CandidatusPelagibacterubique\",\"CandidatusPelagibacterubique\",\"CandidatusPelagibacterubique\",null,null,null,null,null,null,\"RickettsiaendosymbiontofDeronectesplatynotus\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Pseudaminobactersalicylatoxidans\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Ochrobactrumintermedium\",null,null,null,null,null,null,null,\"Rhizobiumsullae\",\"Rhizobiumsullae\",null,null,null,null,null,\"Mycoplanapeli\",null,null,null,null,null,null,null,\"Rhizobiumsp.IRBG74\",\"Rhizobiumsp.IRBG74\",\"Agrobacteriumlarrymoorei\",null,null,null,null,null,null,\"Agrobacteriumvitis\",null,null,\"Martelellamediterranea\",null,null,null,null,null,\"Aurantimonasmanganoxydans\",null,\"Fulvimarinapelagi\",\"Aurantimonasaltamirensis\",null,null,null,null,null,null,null,null,null,null,null,\"Chelativoransmultitrophicus\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Rhodobiumorientis\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Pleomorphomonasoryzae\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Xanthobacterautotrophicus\",null,\"Azorhizobiumcaulinodans\",null,null,null,null,null,null,null,null,\"Labrysmethylaminiphilus\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Bradyrhizobiumcanariense\",\"Bradyrhizobiumcanariense\",null,null,null,null,null,null,null,null,null,\"Afipiafelis\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Rhodoplaneselegans\",\"Rhodoplaneselegans\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Methylobacteriumkomagatae\",\"Methylobacteriumkomagatae\",null,null,\"Methylobacteriumorganophilum\",\"Methylobacteriumorganophilum\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Methylocellapalustris\",null,null,\"Beijerinckiaindica\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Methylosinussporium\",\"Methylosinussporium\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Hyphomicrobiumsulfonivorans\",null,null,null,null,null,null,null,null,null,\"Pedomicrobiumaustralicum\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Hyphomicrobiumzavarzinii\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Labrenziaaggregata\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null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Others arguments pass gtsummary::tbl_summary().","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tbl_sum_samdata.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summarize information from sample data in a table — tbl_sum_samdata","text":"physeq object larger slot tax_table","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tbl_sum_samdata.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Summarize information from sample data in a table — tbl_sum_samdata","text":"function mainly wrapper work others. Please make reference gtsummary::tbl_summary() use function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tbl_sum_samdata.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Summarize information from sample data in a table — tbl_sum_samdata","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tbl_sum_samdata.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarize information from sample data in a table — tbl_sum_samdata","text":"","code":"data(data_fungi) tbl_sum_samdata(data_fungi) %>%   gtsummary::as_kable() #>  #>  #> |**Characteristic** | **N = 185** | #> |:------------------|:-----------:| #> |Tree_name          |             | #> |A10-005            |  3 (1.6%)   | #> |A12-007            |  2 (1.1%)   | #> |A15-004            |  1 (0.5%)   | #> |A8-005             |  1 (0.5%)   | #> |A9-012             |  1 (0.5%)   | #> |AB29-abm-X         |  1 (0.5%)   | #> |AC27-013           |  1 (0.5%)   | #> |AC29-033           |  1 (0.5%)   | #> |AD26-005           |  3 (1.6%)   | #> |AD30-abm-X         |  4 (2.2%)   | #> |AD32-007           |  1 (0.5%)   | #> |AE30-abm507        |  1 (0.5%)   | #> |B18-006            |  1 (0.5%)   | #> |BA16-036           |  1 (0.5%)   | #> |BA17-050           |  1 (0.5%)   | #> |BB19-006           |  1 (0.5%)   | #> |BB6-019            |  3 (1.6%)   | #> |BD14-021           |  1 (0.5%)   | #> |BE9-006            |  3 (1.6%)   | #> |BG7-010            |  3 (1.6%)   | #> |BH9-021            |  1 (0.5%)   | #> |BI7-014            |  1 (0.5%)   | #> |BJ17-007           |  1 (0.5%)   | #> |BJ8abm003          |  1 (0.5%)   | #> |BL7-006            |  3 (1.6%)   | #> |BN11-041           |  1 (0.5%)   | #> |BN9-002            |  1 (0.5%)   | #> |BO8-002            |  1 (0.5%)   | #> |BO8-005            |  1 (0.5%)   | #> |BP11-001           |  3 (1.6%)   | #> |BP12-025           |  1 (0.5%)   | #> |BP14-006           |  1 (0.5%)   | #> |BQ3-019            |  1 (0.5%)   | #> |BQ4-018            |  3 (1.6%)   | #> |BQ9abm002          |  1 (0.5%)   | #> |BR8-005            |  1 (0.5%)   | #> |BS14-006           |  1 (0.5%)   | #> |BT7-006            |  2 (1.1%)   | #> |BU11-002           |  3 (1.6%)   | #> |BW8-003            |  1 (0.5%)   | #> |C1-001             |  1 (0.5%)   | #> |C21-nv-1           |  3 (1.6%)   | #> |C9-005             |  2 (1.1%)   | #> |CA12-024           |  1 (0.5%)   | #> |CA9-027            |  1 (0.5%)   | #> |CA9-X              |  1 (0.5%)   | #> |CB8-019            |  3 (1.6%)   | #> |CB9-013            |  1 (0.5%)   | #> |CC3-044            |  1 (0.5%)   | #> |CC8-003            |  1 (0.5%)   | #> |D17-011            |  1 (0.5%)   | #> |D18-003            |  3 (1.6%)   | #> |D22-nvabm-1        |  1 (0.5%)   | #> |D9-027             |  3 (1.6%)   | #> |DB1abm001          |  1 (0.5%)   | #> |DG1-010            |  1 (0.5%)   | #> |DJ2-008            |  3 (1.6%)   | #> |DP4abm001          |  1 (0.5%)   | #> |DS1abm002          |  3 (1.6%)   | #> |DU3-045            |  1 (0.5%)   | #> |DW4-007            |  1 (0.5%)   | #> |DY5-004            |  3 (1.6%)   | #> |DZ6abm001          |  1 (0.5%)   | #> |E9-009             |  3 (1.6%)   | #> |EAabm001           |  1 (0.5%)   | #> |EC2-013            |  1 (0.5%)   | #> |F6abm001           |  1 (0.5%)   | #> |F7-015             |  1 (0.5%)   | #> |FOMES19            |  2 (1.1%)   | #> |H10-018            |  1 (0.5%)   | #> |H24-nvabm-1        |  1 (0.5%)   | #> |J18-004            |  3 (1.6%)   | #> |K18-002            |  1 (0.5%)   | #> |K26-nvamb-1        |  1 (0.5%)   | #> |L19-X              |  3 (1.6%)   | #> |L23-002            |  3 (1.6%)   | #> |M22-001            |  2 (1.1%)   | #> |N19-X              |  3 (1.6%)   | #> |N23-002            |  3 (1.6%)   | #> |N25-abm-X          |  1 (0.5%)   | #> |O20-X              |  3 (1.6%)   | #> |O21-007            |  3 (1.6%)   | #> |O24-003            |  3 (1.6%)   | #> |O26-004            |  3 (1.6%)   | #> |O27-012            |  1 (0.5%)   | #> |P19-023            |  1 (0.5%)   | #> |P27-015            |  1 (0.5%)   | #> |P27-abm001         |  1 (0.5%)   | #> |Q27-abm003         |  1 (0.5%)   | #> |R25-abm-X          |  1 (0.5%)   | #> |R28-008            |  3 (1.6%)   | #> |T28-011            |  1 (0.5%)   | #> |T28-abm602         |  1 (0.5%)   | #> |U27-abm002         |  1 (0.5%)   | #> |W25-abm-X          |  1 (0.5%)   | #> |W26-001            |  3 (1.6%)   | #> |W29-025            |  1 (0.5%)   | #> |W30-006            |  1 (0.5%)   | #> |X24-009            |  3 (1.6%)   | #> |X24-010            |  1 (0.5%)   | #> |X29-004            |  3 (1.6%)   | #> |Y28-002            |  3 (1.6%)   | #> |Y29-007            |  3 (1.6%)   | #> |Y31-abm484         |  2 (1.1%)   | #> |Z29-001            |  1 (0.5%)   | #> |Z30-002            |  1 (0.5%)   | #> |Z30-abm560         |  1 (0.5%)   | #> |nvabm0058          |  1 (0.5%)   | #> |nvabm0163          |  1 (0.5%)   | #> |nvabm0216          |  1 (0.5%)   | #> |nvabm0244          |  1 (0.5%)   | #> |nvabm0397          |  1 (0.5%)   | #> |Height             |             | #> |High               |  41 (31%)   | #> |Low                |  45 (34%)   | #> |Middle             |  45 (34%)   | #> |Unknown            |     54      | #> |Diameter           |             | #> |-                  |  6 (3.3%)   | #> |10                 |  2 (1.1%)   | #> |11                 |  2 (1.1%)   | #> |115,5              |  3 (1.7%)   | #> |18,3               |  1 (0.6%)   | #> |18,4               |  1 (0.6%)   | #> |18,9               |  3 (1.7%)   | #> |20                 |  3 (1.7%)   | #> |21,5               |  4 (2.2%)   | #> |23                 |  1 (0.6%)   | #> |23,1               |  3 (1.7%)   | #> |23,4               |  1 (0.6%)   | #> |25                 |  8 (4.4%)   | #> |25,3               |  1 (0.6%)   | #> |26,5               |  1 (0.6%)   | #> |27,6               |  3 (1.7%)   | #> |28,4               |  2 (1.1%)   | #> |29,5               |  3 (1.7%)   | #> |30                 |  13 (7.2%)  | #> |30,4               |  3 (1.7%)   | #> |30,7               |  1 (0.6%)   | #> |32                 |  5 (2.8%)   | #> |32,3               |  1 (0.6%)   | #> |32,4               |  1 (0.6%)   | #> |32,5               |  2 (1.1%)   | #> |32,8               |  1 (0.6%)   | #> |33                 |  3 (1.7%)   | #> |33,3               |  4 (2.2%)   | #> |33,5               |  4 (2.2%)   | #> |33,8               |  3 (1.7%)   | #> |34                 |  6 (3.3%)   | #> |35                 |  3 (1.7%)   | #> |35,2               |  1 (0.6%)   | #> |35,6               |  3 (1.7%)   | #> |35,7               |  1 (0.6%)   | #> |36,3               |  1 (0.6%)   | #> |36,5               |  1 (0.6%)   | #> |36,8               |  1 (0.6%)   | #> |37,2               |  3 (1.7%)   | #> |37,5               |  1 (0.6%)   | #> |37,8               |  1 (0.6%)   | #> |38                 |  1 (0.6%)   | #> |38,2               |  1 (0.6%)   | #> |38,3               |  1 (0.6%)   | #> |38,8               |  3 (1.7%)   | #> |39                 |  2 (1.1%)   | #> |40                 |  5 (2.8%)   | #> |40,3               |  1 (0.6%)   | #> |40,5               |  3 (1.7%)   | #> |41                 |  2 (1.1%)   | #> |43                 |  1 (0.6%)   | #> |43,4               |  1 (0.6%)   | #> |44,3               |  1 (0.6%)   | #> |45,5               |  3 (1.7%)   | #> |47,5               |  3 (1.7%)   | #> |50                 |  2 (1.1%)   | #> |52                 |  5 (2.8%)   | #> |52,7               |  3 (1.7%)   | #> |55,4               |  1 (0.6%)   | #> |59,6               |  1 (0.6%)   | #> |59,8               |  1 (0.6%)   | #> |60                 |  1 (0.6%)   | #> |60,4               |  3 (1.7%)   | #> |63,6               |  3 (1.7%)   | #> |64                 |  1 (0.6%)   | #> |64,5               |  1 (0.6%)   | #> |66,8               |  1 (0.6%)   | #> |68,6               |  3 (1.7%)   | #> |69,5               |  1 (0.6%)   | #> |71,5               |  1 (0.6%)   | #> |71,7               |  3 (1.7%)   | #> |75                 |  3 (1.7%)   | #> |76,4               |  3 (1.7%)   | #> |80                 |  1 (0.6%)   | #> |88,5               |  1 (0.6%)   | #> |96                 |  1 (0.6%)   | #> |99                 |  1 (0.6%)   | #> |Unknown            |      5      | #> |Time               |             | #> |0                  |  67 (41%)   | #> |5                  |  38 (23%)   | #> |10                 |  21 (13%)   | #> |15                 |  36 (22%)   | #> |Unknown            |     23      |  summary_samdata <- tbl_sum_samdata(data_fungi,   include = c(\"Time\", \"Height\"),   type = list(Time ~ \"continuous2\", Height ~ \"categorical\"),   statistic = list(Time ~ c(\"{median} ({p25}, {p75})\", \"{min}, {max}\")) )  data(enterotype)  summary_samdata <- tbl_sum_samdata(enterotype) summary_samdata <- tbl_sum_samdata(enterotype, include = !contains(\"SampleId\"))"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/track_wkflow.html","id":null,"dir":"Reference","previous_headings":"","what":"Track the number of reads (= sequences), samples and cluster (e.g. ASV)\nfrom various objects including dada-class and derep-class. — track_wkflow","title":"Track the number of reads (= sequences), samples and cluster (e.g. ASV)\nfrom various objects including dada-class and derep-class. — track_wkflow","text":"List fastq fastg.gz files -> nb reads samples List dada-class -> nb reads, clusters (ASV) samples List derep-class -> nb reads, clusters (unique sequences) samples Matrix samples x clusters (e.g. otu_table) -> nb reads, clusters samples Phyloseq-class -> nb reads, clusters samples","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/track_wkflow.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Track the number of reads (= sequences), samples and cluster (e.g. ASV)\nfrom various objects including dada-class and derep-class. — track_wkflow","text":"","code":"track_wkflow(   list_of_objects,   obj_names = NULL,   clean_pq = FALSE,   taxonomy_rank = NULL,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/track_wkflow.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Track the number of reads (= sequences), samples and cluster (e.g. ASV)\nfrom various objects including dada-class and derep-class. — track_wkflow","text":"list_of_objects (required) list objects obj_names list names corresponding list objects clean_pq (logical) set TRUE, empty samples empty ASV discarded clustering. taxonomy_rank vector int. Define column number taxonomic rank physeq@tax_table compute number unique value. Default NULL compute values taxonomic rank ... arguments passed clean_pq() function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/track_wkflow.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Track the number of reads (= sequences), samples and cluster (e.g. ASV)\nfrom various objects including dada-class and derep-class. — track_wkflow","text":"number sequences, clusters (e.g. OTUs, ASVs) samples object.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/track_wkflow_samples.html","id":null,"dir":"Reference","previous_headings":"","what":"Track the number of reads (= sequences), samples and cluster (e.g. ASV)\nfor each samples. — track_wkflow_samples","title":"Track the number of reads (= sequences), samples and cluster (e.g. ASV)\nfor each samples. — track_wkflow_samples","text":"Contrary track_wkflow(), phyloseq object possible. information available manual function track_wkflow()","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/track_wkflow_samples.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Track the number of reads (= sequences), samples and cluster (e.g. ASV)\nfor each samples. — track_wkflow_samples","text":"","code":"track_wkflow_samples(list_pq_obj, ...)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/track_wkflow_samples.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Track the number of reads (= sequences), samples and cluster (e.g. ASV)\nfor each samples. — track_wkflow_samples","text":"list_pq_obj (required): list object passed track_wkflow() phyloseq object return value information sample needed ... : args passed track_wkflow()","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/track_wkflow_samples.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Track the number of reads (= sequences), samples and cluster (e.g. ASV)\nfor each samples. — track_wkflow_samples","text":"list dataframe. cf track_wkflow() information","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/track_wkflow_samples.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Track the number of reads (= sequences), samples and cluster (e.g. ASV)\nfor each samples. — track_wkflow_samples","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/track_wkflow_samples.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Track the number of reads (= sequences), samples and cluster (e.g. ASV)\nfor each samples. — track_wkflow_samples","text":"","code":"tree_A10_005 <- subset_samples(data_fungi, Tree_name == \"A10-005\") track_wkflow_samples(tree_A10_005) #> You select 1 of 3 samples and conserved 67 out of 1420 taxa represented by 13314 sequences (out of 56868 sequences [23%]) #> Compute the number of sequences #> Start object of class: phyloseq #> Compute the number of clusters #> Start object of class: phyloseq #> Compute the number of samples #> Start object of class: phyloseq #> You select 1 of 3 samples and conserved 70 out of 1420 taxa represented by 39593 sequences (out of 56868 sequences [70%]) #> Compute the number of sequences #> Start object of class: phyloseq #> Compute the number of clusters #> Start object of class: phyloseq #> Compute the number of samples #> Start object of class: phyloseq #> You select 1 of 3 samples and conserved 54 out of 1420 taxa represented by 3961 sequences (out of 56868 sequences [7%]) #> Compute the number of sequences #> Start object of class: phyloseq #> Compute the number of clusters #> Start object of class: phyloseq #> Compute the number of samples #> Start object of class: phyloseq #> $`A10-005-B_S188_MERGED.fastq.gz` #>   nb_sequences nb_clusters nb_samples #> 1        13314          67          1 #>  #> $`A10-005-H_S189_MERGED.fastq.gz` #>   nb_sequences nb_clusters nb_samples #> 1        39593          70          1 #>  #> $`A10-005-M_S190_MERGED.fastq.gz` #>   nb_sequences nb_clusters nb_samples #> 1         3961          54          1 #>"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/treemap_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot treemap of 2 taxonomic levels — treemap_pq","title":"Plot treemap of 2 taxonomic levels — treemap_pq","text":"Note lvl2need nested lvl1","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/treemap_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot treemap of 2 taxonomic levels — treemap_pq","text":"","code":"treemap_pq(   physeq,   lvl1,   lvl2,   nb_seq = TRUE,   log10trans = TRUE,   plot_legend = FALSE,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/treemap_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot treemap of 2 taxonomic levels — treemap_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. lvl1 (required) Name first (higher) taxonomic rank interest lvl2 (required) Name second (lower) taxonomic rank interest nb_seq (logical; default TRUE) set FALSE, number ASV count. Concretely, physeq otu_table transformed binary otu_table (value different zero set one) log10trans (logical, default TRUE) TRUE, number sequences (ASV nb_seq = FALSE) log10 transformed. plot_legend (logical, default FALSE) TRUE, plot che legend color lvl 1 ... arguments passed treemapify::geom_treemap() function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/treemap_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot treemap of 2 taxonomic levels — treemap_pq","text":"ggplot2 graphic","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/treemap_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot treemap of 2 taxonomic levels — treemap_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/treemap_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot treemap of 2 taxonomic levels — treemap_pq","text":"","code":"data(data_fungi_sp_known) treemap_pq(   clean_pq(subset_taxa(     data_fungi_sp_known,     Phylum == \"Basidiomycota\"   )),   \"Order\", \"Class\",   plot_legend = TRUE ) #> Cleaning suppress 0 taxa and 5 samples.  treemap_pq(   clean_pq(subset_taxa(     data_fungi_sp_known,     Phylum == \"Basidiomycota\"   )),   \"Order\", \"Class\",   log10trans = FALSE ) #> Cleaning suppress 0 taxa and 5 samples.  treemap_pq(   clean_pq(subset_taxa(     data_fungi_sp_known,     Phylum == \"Basidiomycota\"   )),   \"Order\", \"Class\",   nb_seq = FALSE, log10trans = FALSE ) #> Cleaning suppress 0 taxa and 5 samples."},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tsne_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute tSNE position of samples from a phyloseq object — tsne_pq","title":"Compute tSNE position of samples from a phyloseq object — tsne_pq","text":"Compute tSNE position samples phyloseq object","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tsne_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute tSNE position of samples from a phyloseq object — tsne_pq","text":"","code":"tsne_pq(physeq, method = \"bray\", dims = 2, theta = 0, perplexity = 30, ...)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tsne_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute tSNE position of samples from a phyloseq object — tsne_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. method method calculate distance using vegan::vegdist() function dims (Int) Output dimensionality (default: 2) theta (Numeric) Speed/accuracy trade-(increase less accuracy), set 0.0 exact TSNE (default: 0.0 see details man page Rtsne::Rtsne). perplexity (Numeric) Perplexity parameter (bigger 3 * perplexity < nrow(X) - 1, see details man page Rtsne::Rtsne) ... : arguments passed Rtsne::Rtsne()","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tsne_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute tSNE position of samples from a phyloseq object — tsne_pq","text":"list element including matrix Y containing new representations objects. See ?Rtsne::Rtsne() information","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tsne_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compute tSNE position of samples from a phyloseq object — tsne_pq","text":"","code":"res_tsne <- tsne_pq(data_fungi) #> Taxa are now in rows."},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/unique_or_na.html","id":null,"dir":"Reference","previous_headings":"","what":"Get the unique value in x or NA if none — unique_or_na","title":"Get the unique value in x or NA if none — unique_or_na","text":"unique(x) single value, return ; otherwise, return NA type x. x factor, levels ordered status kept either case. x non-atomic vector (.e. list), logical NA used.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/unique_or_na.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get the unique value in x or NA if none — unique_or_na","text":"","code":"unique_or_na(x)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/unique_or_na.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get the unique value in x or NA if none — unique_or_na","text":"x vector","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/unique_or_na.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Get the unique value in x or NA if none — unique_or_na","text":"Michael R. McLaren (orcid: 0000-0003-1575-473X)","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/unique_or_na.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get the unique value in x or NA if none — unique_or_na","text":"","code":"f <- factor(c(\"a\", \"a\", \"b\", \"c\"), ordered = TRUE) unique_or_na(f) #> [1] <NA> #> Levels: a < b < c unique_or_na(f[1:2]) #> [1] a #> Levels: a < b < c  x <- c(\"a\", \"b\", \"a\") unique_or_na(x[c(1, 3)]) #> [1] \"a\" unique_or_na(x) #> [1] NA unique_or_na(x) %>% typeof() #> [1] \"character\""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/upset_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Make upset plot for phyloseq object. — upset_pq","title":"Make upset plot for phyloseq object. — upset_pq","text":"Alternative venn plot.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/upset_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Make upset plot for phyloseq object. — upset_pq","text":"","code":"upset_pq(   physeq,   fact,   taxa_fill = NULL,   min_nb_seq = 0,   na_remove = TRUE,   numeric_fonction = sum,   rarefy_after_merging = FALSE,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/upset_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Make upset plot for phyloseq object. — upset_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. fact (required): Name factor cluster samples modalities. Need physeq@sam_data. taxa_fill (default NULL) fill ASV upset using column tax_table slot. min_nb_seq minimum number sequences OTUs samples take count OTUs sample. example, min_nb_seq=2,value 2 less OTU table count venn diagram na_remove : TRUE (default), NA values fact removed FALSE, NA values set \"NA\" numeric_fonction (default : sum) function numeric vector useful complex plot (see examples) rarefy_after_merging Rarefy sample merging modalities fact parameter ... arguments passed ComplexUpset::upset()","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/upset_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Make upset plot for phyloseq object. — upset_pq","text":"ggplot2 plot","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/upset_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Make upset plot for phyloseq object. — upset_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/upset_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Make upset plot for phyloseq object. — upset_pq","text":"","code":"upset_pq(data_fungi_mini,   fact = \"Height\", width_ratio = 0.2,   taxa_fill = \"Class\" ) #> Cleaning suppress 0 taxa (  ) and 0 sample(s) (  ). #> Number of non-matching ASV 0 #> Number of matching ASV 45 #> Number of filtered-out ASV 0 #> Number of kept ASV 45 #> Number of kept samples 137  upset_pq(data_fungi_mini, fact = \"Height\", min_nb_seq = 1000) #> Cleaning suppress 0 taxa (  ) and 0 sample(s) (  ). #> Number of non-matching ASV 0 #> Number of matching ASV 45 #> Number of filtered-out ASV 0 #> Number of kept ASV 45 #> Number of kept samples 137  upset_pq(data_fungi_mini, fact = \"Height\", na_remove = FALSE) #> Cleaning suppress 0 taxa (  ) and 0 sample(s) (  ). #> Number of non-matching ASV 0 #> Number of matching ASV 45 #> Number of filtered-out ASV 0 #> Number of kept ASV 45 #> Number of kept samples 137   upset_pq(data_fungi_mini, fact = \"Time\", width_ratio = 0.2, rarefy_after_merging = TRUE) #> Cleaning suppress 0 taxa (  ) and 0 sample(s) (  ). #> Number of non-matching ASV 0 #> Number of matching ASV 45 #> Number of filtered-out ASV 0 #> Number of kept ASV 45 #> Number of kept samples 137 #> You set `rngseed` to FALSE. Make sure you've set & recorded #>  the random seed of your session for reproducibility. #> See `?set.seed` #> ... #> At least one sample name start with a zero. #>     That can be a problem for some phyloseq functions such as #>     plot_bar and psmelt. #> Cleaning suppress 0 taxa and 0 samples.   upset_pq(   data_fungi_mini,   fact = \"Time\",   width_ratio = 0.2,   annotations = list(     \"Sequences per ASV \\n (log10)\" = (       ggplot(mapping = aes(y = log10(Abundance)))       +         geom_jitter(aes(           color =             Abundance         ), na.rm = TRUE)         +         geom_violin(alpha = 0.5, na.rm = TRUE) +         theme(legend.key.size = unit(0.2, \"cm\")) +         theme(axis.text = element_text(size = 12))     ),     \"ASV per phylum\" = (       ggplot(mapping = aes(fill = Phylum))       +         geom_bar() +         ylab(\"ASV per phylum\") +         theme(legend.key.size = unit(0.2, \"cm\")) +         theme(axis.text = element_text(size = 12))     )   ) ) #> Cleaning suppress 0 taxa (  ) and 0 sample(s) (  ). #> Number of non-matching ASV 0 #> Number of matching ASV 45 #> Number of filtered-out ASV 0 #> Number of kept ASV 45 #> Number of kept samples 137 #> Warning: Groups with fewer than two data points have been dropped. #> Warning: Groups with fewer than two data points have been dropped. #> Warning: Groups with fewer than two data points have been dropped.    upset_pq(   data_fungi_mini,   fact = \"Time\",   width_ratio = 0.2,   numeric_fonction = mean,   annotations = list(     \"Sequences per ASV \\n (log10)\" = (       ggplot(mapping = aes(y = log10(Abundance)))       +         geom_jitter(aes(           color =             Abundance         ), na.rm = TRUE)         +         geom_violin(alpha = 0.5, na.rm = TRUE) +         theme(legend.key.size = unit(0.2, \"cm\")) +         theme(axis.text = element_text(size = 12))     ),     \"ASV per phylum\" = (       ggplot(mapping = aes(fill = Phylum))       +         geom_bar() +         ylab(\"ASV per phylum\") +         theme(legend.key.size = unit(0.2, \"cm\")) +         theme(axis.text = element_text(size = 12))     )   ) ) #> Cleaning suppress 0 taxa (  ) and 0 sample(s) (  ). #> Number of non-matching ASV 0 #> Number of matching ASV 45 #> Number of filtered-out ASV 0 #> Number of kept ASV 45 #> Number of kept samples 137 #> Warning: Groups with fewer than two data points have been dropped. #> Warning: Groups with fewer than two data points have been dropped. #> Warning: Groups with fewer than two data points have been dropped.    upset_pq(   subset_taxa(data_fungi_mini, Phylum == \"Basidiomycota\"),   fact = \"Time\",   width_ratio = 0.2,   base_annotations = list(),   annotations = list(     \"Sequences per ASV \\n (log10)\" = (       ggplot(mapping = aes(y = log10(Abundance)))       +         geom_jitter(aes(           color =             Abundance         ), na.rm = TRUE)         +         geom_violin(alpha = 0.5, na.rm = TRUE) +         theme(legend.key.size = unit(0.2, \"cm\")) +         theme(axis.text = element_text(size = 12))     ),     \"ASV per phylum\" = (       ggplot(mapping = aes(fill = Class))       +         geom_bar() +         ylab(\"ASV per Class\") +         theme(legend.key.size = unit(0.2, \"cm\")) +         theme(axis.text = element_text(size = 12))     )   ) ) #> Cleaning suppress 0 taxa (  ) and 0 sample(s) (  ). #> Number of non-matching ASV 0 #> Number of matching ASV 45 #> Number of filtered-out ASV 0 #> Number of kept ASV 45 #> Number of kept samples 137 #> Warning: Groups with fewer than two data points have been dropped. #> Warning: Groups with fewer than two data points have been dropped. #> Warning: Groups with fewer than two data points have been dropped.   data_fungi2 <- data_fungi_mini data_fungi2@sam_data[[\"Time_0\"]] <- data_fungi2@sam_data$Time == 0 data_fungi2@sam_data[[\"Height__Time_0\"]] <-   paste0(data_fungi2@sam_data[[\"Height\"]], \"__\", data_fungi2@sam_data[[\"Time_0\"]]) data_fungi2@sam_data[[\"Height__Time_0\"]][grepl(\"NA\", data_fungi2@sam_data[[\"Height__Time_0\"]])] <-   NA upset_pq(data_fungi2, fact = \"Height__Time_0\", width_ratio = 0.2, min_size = 2) #> Cleaning suppress 0 taxa (  ) and 0 sample(s) (  ). #> Number of non-matching ASV 0 #> Number of matching ASV 45 #> Number of filtered-out ASV 0 #> Number of kept ASV 45 #> Number of kept samples 137"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/upset_test_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Test for differences between intersections — upset_test_pq","text":"","code":"upset_test_pq(   physeq,   fact,   var_to_test = \"OTU\",   min_nb_seq = 0,   na_remove = TRUE,   numeric_fonction = sum,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/upset_test_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Test for differences between intersections — upset_test_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. fact (required): Name factor cluster samples modalities. Need physeq@sam_data. var_to_test (default c(\"OTU\")) : vector column present tax_table slot physeq object min_nb_seq minimum number sequences OTUs samples take count OTUs sample. example, min_nb_seq=2,value 2 less OTU table count venn diagram na_remove : TRUE (default), NA values fact removed FALSE, NA values set \"NA\" numeric_fonction (default : sum) function numeric vector useful complex plot (see examples) ... arguments passed ComplexUpset::upset_test()","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/upset_test_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Test for differences between intersections — upset_test_pq","text":"ggplot2 plot","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/upset_test_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Test for differences between intersections — upset_test_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/upset_test_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Test for differences between intersections — upset_test_pq","text":"","code":"data(data_fungi) upset_test_pq(data_fungi, \"Height\", var_to_test = c(\"OTU\", \"Class\", \"Guild\")) #> Cleaning suppress 0 taxa (  ) and 0 sample(s) (  ). #> Number of non-matching ASV 0 #> Number of matching ASV 1420 #> Number of filtered-out ASV 0 #> Number of kept ASV 1420 #> Number of kept samples 185 #> [1] \"OTU, Class, Guild differ significantly between intersections\" #>       variable     p.value statistic                         test        fdr #> Class    Class 0.006403765  17.93225 Kruskal-Wallis rank sum test 0.01392444 #> Guild    Guild 0.009282963  17.00008 Kruskal-Wallis rank sum test 0.01392444 #> OTU        OTU 0.046654862  12.78063 Kruskal-Wallis rank sum test 0.04665486 upset_test_pq(data_fungi, \"Time\") #> Cleaning suppress 0 taxa (  ) and 0 sample(s) (  ). #> Number of non-matching ASV 0 #> Number of matching ASV 1420 #> Number of filtered-out ASV 0 #> Number of kept ASV 1420 #> Number of kept samples 185 #> [1] \"OTU differ significantly between intersections\" #>     variable     p.value statistic                         test         fdr #> OTU      OTU 0.002217898   33.7837 Kruskal-Wallis rank sum test 0.002217898"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/venn_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Venn diagram of phyloseq-class object — venn_pq","text":"","code":"venn_pq(physeq, fact, min_nb_seq = 0, print_values = TRUE)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/venn_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Venn diagram of phyloseq-class object — venn_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. fact (required): Name factor cluster samples modalities. Need physeq@sam_data. min_nb_seq (default: 0)): minimum number sequences OTUs samples take count OTUs sample. example, min_nb_seq=2,value 2 less OTU table change 0 analysis print_values (logical) Print () table number OTUs combination. print_values TRUE object ggplot object. Please use print_values = FALSE want add ggplot function (cf example).","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/venn_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Venn diagram of phyloseq-class object — venn_pq","text":"ggplot2 plot representing Venn diagram modalities argument factor","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/venn_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Venn diagram of phyloseq-class object — venn_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/venn_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Venn diagram of phyloseq-class object — venn_pq","text":"","code":"data(\"enterotype\") venn_pq(enterotype, fact = \"SeqTech\")  venn_pq(enterotype, fact = \"ClinicalStatus\")  venn_pq(enterotype, fact = \"Nationality\", print_values = FALSE)  venn_pq(enterotype, fact = \"ClinicalStatus\", print_values = FALSE) +   scale_fill_hue()  venn_pq(enterotype, fact = \"ClinicalStatus\", print_values = FALSE) +   scale_fill_hue()"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/verify_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Verify the validity of a phyloseq object — verify_pq","title":"Verify the validity of a phyloseq object — verify_pq","text":"Mostly internal use MiscMetabar functions.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/verify_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Verify the validity of a phyloseq object — verify_pq","text":"","code":"verify_pq(   physeq,   verbose = FALSE,   min_nb_seq_sample = 500,   min_nb_seq_taxa = 1 )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/verify_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Verify the validity of a phyloseq object — verify_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. verbose (logical, default FALSE) true, prompt warnings. min_nb_seq_sample (numeric) used verbose = TRUE. Minimum number sequences per samples show warning. min_nb_seq_taxa (numeric) used verbose = TRUE. Minimum number sequences per taxa show warning.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/verify_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Verify the validity of a phyloseq object — verify_pq","text":"Nothing phyloseq object valid. error case. Warnings verbose = TRUE","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/vs_search_global.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Search for a list of sequence in a fasta file against physeq reference\nsequences using vsearch — vs_search_global","text":"","code":"vs_search_global(   physeq,   seq2search = NULL,   path_to_fasta = NULL,   vsearchpath = \"vsearch\",   id = 0.8,   iddef = 0,   keep_temporary_files = FALSE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/vs_search_global.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Search for a list of sequence in a fasta file against physeq reference\nsequences using vsearch — vs_search_global","text":"physeq (required): phyloseq-class object obtained using phyloseq package. seq2search (required path_to_fasta NULL) Either () DNAstringSet object (ii) character vector convert DNAstringSet using Biostrings::DNAStringSet() path_to_fasta (required seq2search NULL) path fasta file seq2search est NULL. vsearchpath (default: vsearch) path vsearch id (default: 0.8) id option --usearch_global vsearch software iddef (default: 0) iddef option --usearch_global vsearch software keep_temporary_files (logical, default: FALSE) keep temporary files temp.fasta (refseq fasta) cluster.fasta (centroid) temp.uc (clusters)","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/vs_search_global.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Search for a list of sequence in a fasta file against physeq reference\nsequences using vsearch — vs_search_global","text":"dataframe uc results (invisible)","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/vs_search_global.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Search for a list of sequence in a fasta file against physeq reference\nsequences using vsearch — vs_search_global","text":"function mainly wrapper work others. Please cite vsearch.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/vs_search_global.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Search for a list of sequence in a fasta file against physeq reference\nsequences using vsearch — vs_search_global","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/vs_search_global.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Search for a list of sequence in a fasta file against physeq reference\nsequences using vsearch — vs_search_global","text":"","code":"if (FALSE) { file_dna <- tempfile(\"dna.fa\") seqinr::write.fasta(\"GCCCATTAGTATTCTAGTGGGCATGCCTGTTCGAGCGTCATTTTCA   ACCCTCAAGCCCCTTATTGCTTGGTGTTGGGAGTTTAGCTGGCTTTATAGCGGTTAACTCCCTAAATATACTGGCG\",   file = file_dna, names = \"seq1\" )  res <- vs_search_global(data_fungi, file_dna) unlink(file_dna)  res[res$identity != \"*\", ]  clean_pq(subset_taxa(data_fungi, res$identity != \"*\")) }"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/vsearch_clustering.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Recluster sequences of an object of class physeq\nor cluster a list of DNA sequences using vsearch software — vsearch_clustering","text":"","code":"vsearch_clustering(   physeq = NULL,   dna_seq = NULL,   nproc = 1,   id = 0.97,   vsearchpath = \"vsearch\",   tax_adjust = 0,   vsearch_cluster_method = \"--cluster_size\",   vsearch_args = \"--strand both\",   keep_temporary_files = FALSE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/vsearch_clustering.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Recluster sequences of an object of class physeq\nor cluster a list of DNA sequences using vsearch software — vsearch_clustering","text":"physeq (required): phyloseq-class object obtained using phyloseq package. dna_seq may directly use character vector DNA sequences place physeq args. physeq set, dna sequences take value physeq@refseq nproc (default: 1) Set number cpus/processors use clustering id (default: 0.97) level identity cluster vsearchpath (default: vsearch) path vsearch tax_adjust (Default 0) See man page merge_taxa_vec() details. conserved taxonomic rank abundant ASV, set tax_adjust 0 (default). moment tax_adjust = 0 robust vsearch_cluster_method (default: \"--cluster_size) See possible methods vsearch manual (e.g. --cluster_size --cluster_smallmem) --cluster_fast : Clusterize fasta sequences filename, automatically sort decreasing sequence length beforehand. --cluster_size : Clusterize fasta sequences filename, automatically sort decreasing sequence abundance beforehand. --cluster_smallmem : Clusterize fasta sequences filename without automatically modifying order beforehand. Sequence expected sorted decreasing sequence length, unless --usersort used. case may set vsearch_args vsearch_args = \"--strand --usersort\" vsearch_args (default : \"--strand \") one length character element defining parameters passed vsearch. keep_temporary_files (logical, default: FALSE) keep temporary files ? temp.fasta (refseq fasta dna_seq sequences) cluster.fasta (centroid method = \"vsearch\") temp.uc (clusters method = \"vsearch\")","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/vsearch_clustering.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Recluster sequences of an object of class physeq\nor cluster a list of DNA sequences using vsearch software — vsearch_clustering","text":"new object class physeq list cluster dna_seq args used.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/vsearch_clustering.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Recluster sequences of an object of class physeq\nor cluster a list of DNA sequences using vsearch software — vsearch_clustering","text":"function use merge_taxa_vec() function merge taxa clusters. default tax_adjust = 0. See man page merge_taxa_vec(). function mainly wrapper work others. Please cite vsearch.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/vsearch_clustering.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Recluster sequences of an object of class physeq\nor cluster a list of DNA sequences using vsearch software — vsearch_clustering","text":"VSEARCH can downloaded https://github.com/torognes/vsearch. information associated publication https://pubmed.ncbi.nlm.nih.gov/27781170.","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/vsearch_clustering.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Recluster sequences of an object of class physeq\nor cluster a list of DNA sequences using vsearch software — vsearch_clustering","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/vsearch_clustering.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Recluster sequences of an object of class physeq\nor cluster a list of DNA sequences using vsearch software — vsearch_clustering","text":"","code":"summary_plot_pq(data_fungi) #> Cleaning suppress 0 taxa and 0 samples.  d_vs <- vsearch_clustering(data_fungi) summary_plot_pq(d_vs) #> Cleaning suppress 0 taxa and 0 samples."},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/write_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Save phyloseq object in the form of multiple csv tables. — write_pq","text":"","code":"write_pq(   physeq,   path = NULL,   rdata = FALSE,   one_file = FALSE,   write_sam_data = TRUE,   sam_data_first = FALSE,   clean_pq = TRUE,   reorder_asv = FALSE,   rename_asv = FALSE,   remove_empty_samples = TRUE,   remove_empty_taxa = TRUE,   clean_samples_names = TRUE,   silent = FALSE,   verbose = FALSE,   quote = FALSE,   sep_csv = \"\\t\",   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/write_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Save phyloseq object in the form of multiple csv tables. — write_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. path path folder save phyloseq object rdata (logical) phyloseq object also saved Rdata format? one_file (logical) TRUE, combine data one file write_sam_data (logical) samples data add file. used one_file TRUE. Note option result lot NA values. sam_data_first (logical) TRUE, put sample data top table used one_file write_sam_data TRUE. clean_pq (logical) set TRUE, empty samples discarded subsetting ASV reorder_asv (logical) TRUE otu_table ordered number sequences ASV (descending order). Default TRUE. possible clean_pq set TRUE. rename_asv reorder_asv (logical) TRUE, ASV renamed position OTU_table (asv_1, asv_2, ...). Default FALSE. possible clean_pq set TRUE. remove_empty_samples (logical) want remove samples without sequences (done removing empty taxa) remove_empty_taxa (logical) want remove taxa without sequences (done removing empty samples) clean_samples_names (logical) want clean samples names? silent (logical) true, message printing. verbose (logical) Additional informations message verbose parameter overwrite silent parameter. quote logical value (default FALSE) numeric vector. TRUE, character factor columns surrounded double quotes.  numeric vector, elements taken indices columns quote.  cases, row column names quoted written. FALSE nothing quoted. sep_csv (default tabulation) separator column ... arguments passed utils::write.table() function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/write_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Save phyloseq object in the form of multiple csv tables. — write_pq","text":"Build folder (path) containing one four csv tables (refseq.csv, otu_table.csv, tax_table.csv, sam_data.csv) present phy_tree Newick format","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/write_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Save phyloseq object in the form of multiple csv tables. — write_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/write_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Save phyloseq object in the form of multiple csv tables. — write_pq","text":"","code":"# write_pq(data_fungi, path = \"phyloseq\") # write_pq(data_fungi, path = \"phyloseq\", one_file = TRUE)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"miscmetabar-07-in-development","dir":"Changelog","previous_headings":"","what":"MiscMetabar 0.7 (in development)","title":"MiscMetabar 0.7 (in development)","text":"Add functions chimera_detection_vs() chimera_removal_vs() process chimera detection removal using vsearch software Add functions filter_trim(), sample_data_with_new_names() rename_samples() facilitate use targets bioinformatic pipeline. Add function add_info_to_sam_data() expand sam_data slot using data.frame using nb_asv nb_seq Add functions swarm_clustering() vsearch_clustering() add swarm method function asv2otu() Add function physeq_or_string_to_dna() mostly internal use Add function cutadapt_remove_primers() remove primers using cutadapt Add internal functions is_swarm_installed(), is_cutadapt_installed(), is_vsearch_installed() is_falco_installed() test availability external software order run examples test testthat. Submit CRAN change code comply rules (patch 0.7.1 0.7.4)","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"breaking-changes-0-7","dir":"Changelog","previous_headings":"","what":"BREAKING CHANGES","title":"MiscMetabar 0.7 (in development)","text":"add_nb_sequences -> add_nb_seq ggvenn_pq() db -> db_url get_funguild_db() db -> db_funguild get_funguild_db() file -> file_path get_file_extension() n_seq -> nb_seq subsample_fastq() otutable -> otu_table lulu() alpha -> pval plot_edgeR_pq() plot_deseq2_pq() change default value 0.01 classical 0.05 sequences -> seq2search function search_exact_seq_pq() seq_names -> dna_seq function asv2otu","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"miscmetabar-060","dir":"Changelog","previous_headings":"","what":"MiscMetabar 0.6.0","title":"MiscMetabar 0.6.0","text":"Add function ancombc_pq() simplify call ANCOMBC::ancombc2() : ANalysis COmpositions Microbiomes Bias Correction 2 Add param taxa_names_from_physeq (default FALSE) subset_taxa_pq() Add param rarefy_by_sample (default FALSE) function ggbetween_pq() Add function are_modality_even_depth() test samples depth significantly vary among modalities factor Add functions merge_taxa_vec() merge_samples2() speedyseq package MiscMetabar decrease package dependencies (Thanks Mike R. Mclaren) Add function reorder_taxa_pq() order replace unique call package MicroViz decrease package dependencies. Add functions get_funguild_db() funguild_assign() FUNGuildR package MiscMetabar decrease package dependencies Remove dependencies packages available CRAN Bioconductor. Improve code using goodpractice::gp() devtools::check() function Add messages various cases (NA samples data, low number sequences samples, low number sequences taxa) using verify_pq() args verbose=TRUE Fix bug multitax_bar_pq() using nb_seq = FALSE","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"miscmetabar-052","dir":"Changelog","previous_headings":"","what":"MiscMetabar 0.52","title":"MiscMetabar 0.52","text":"Add function ggbetween_pq() facilitate comparison hill number using power ggstatsplot::ggbetweenstats() Add function plot_SCBD_pq() plot species contributions beta diversity (SCBD) samples","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"miscmetabar-051","dir":"Changelog","previous_headings":"","what":"MiscMetabar 0.51","title":"MiscMetabar 0.51","text":"Add function LCBD_pq() plot_LCBD_pq() compute, test plot local contributions beta diversity (LCBD) samples Add function tbl_sum_samdata() summarize information sample data table Add function mumu_pq() use mumu, fast robust C++ implementation lulu. Add (mostly internal) function install_pkg_needed() install pkg (mostly package list Suggest DESCRIPTION) needed function. Add function add_funguild_info() plot_guild_pq() add plot fungal guild information taxonomy using FUNGuild package Add function build_phytree_pq() build 3 phylogenetic trees (NJ, UPGMA ML using phangorn R package) refseq slot phyloseq object, possibly bootstrap values. See vignettes Tree visualization introduction tree visualization using ggtree R package.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"miscmetabar-05","dir":"Changelog","previous_headings":"","what":"MiscMetabar 0.5","title":"MiscMetabar 0.5","text":"Phyloseq object converted taxa_are_columns ggvenn_pq() thanks issue #31","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"breaking-changes-0-5","dir":"Changelog","previous_headings":"","what":"BREAKING CHANGES","title":"MiscMetabar 0.5","text":"Rename param log_10 function biplot_pq() log10trans Rename param log10transform function circle_pq() log10trans","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"miscmetabar-042","dir":"Changelog","previous_headings":"","what":"MiscMetabar 0.42","title":"MiscMetabar 0.42","text":"Add argument one_plot (default FALSE, behavior ) hill_pq function order return unique ggplot2 object four plots inside. Add argument correction_for_sample_size (default TRUE, behavior ) hill_pq hill_tuckey_pq function allow removing correction uneven sampling depth. Add function multitax_bar_pq() plot 3 levels taxonomy function samples attributes Add function ridges_pq() plot ridges one taxonomic level function samples attributes Add function treemap_pq plot treemap two taxonomic levels","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"miscmetabar-041","dir":"Changelog","previous_headings":"","what":"MiscMetabar 0.41","title":"MiscMetabar 0.41","text":"Add function iNEXT_pq() calculate hill diversity using iNEXT package. Add argument pairs multi_biplot_pq() order indicate pairs samples want print. Improve compare_pairs_pq() information number shared sequences among pairs. Add function upset_pq() plot upset phyloseq object using ComplexUpset package. Add function upset_test_pq test differences intersections (wrapper ComplexUpset::upset_test() phyloseq-object). Add info (param add_info) subtitle hill_pq() function. Add argument remove_space simplify_taxo() function. Add argument simplify_taxo clean_pq() function. Change argument rarefy_nb_seq rarefy_before_merging add arguments rarefy_after_merging add_nb_seq ggvenn_pq() function. Add arguments rarefy_after_merging biplot_pq() upset_pq() functions. Add argument taxa_fill upset_pq() function order fill bar taxonomic rank. Add function subsample_fastq() make subset fastq files order test pipeline samples low number reads. Add function accu_samp_threshold() compute number sequence obtain given proportion ASV accumulation curves (`accu_plot). Add function tax_bar_pq() order plot taxonomic distribution across samples.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"miscmetabar-040","dir":"Changelog","previous_headings":"","what":"MiscMetabar 0.40","title":"MiscMetabar 0.40","text":"Add function multi_biplot_pq() visualize collection couples samples comparison list biplot_pq(). Add options add_info, na_remove, clean_pq plot_tax_pq() function. Add options vsearch_cluster_method vsearch_args otu2asv() detailed control vsearch software. Suppression buggy function MM_idtaxa(). 4 separate tables 1 table version 1 RData file Add function add_blast_info() add information blast_pq() tax_table slot phyloseq object. Add option keep_temporary_files asv2otu() function. Improve documentation asv2otu() fix little bug name conserved ASV asv2otu(). Test coverage largely improved leading numerous minor bug fixes. Add function search_exact_seq_pq() search exact matching sequences using complement, reverse reverse-complement phyloseq object. Add function add_new_taxonomy_pq() add new taxonomic rank phyloseq object. example add taxonomic assignment new database. Add battery test using test_that package improve code compatibility cran recommendations.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"breaking-changes-0-40","dir":"Changelog","previous_headings":"","what":"BREAKING CHANGES","title":"MiscMetabar 0.40","text":"vsearch_cluster_method = “–cluster_size” tax_adjust = 0","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"miscmetabar-034","dir":"Changelog","previous_headings":"","what":"MiscMetabar 0.34","title":"MiscMetabar 0.34","text":"Add option add_nb_samples ggvenn_pq() add number samples level name plot. Useful see disequilibrium number samples among factor’s levels. Add option args_makedb args_blastn functions blast_pq(), blast_to_phyloseq(), blast_to_derep() filter_asv_blast(). Add option rarefy_nb_seqs ggven_pq() order rarefy samples plotting. Add function SRS_curve_pq() plot scaling ranked subsampling (SRS) curves using SRS::SRS_curve() function (see citation(“SRS”) reference). Add option nb_samples_info biplot_pq() order add number samples merged level factors. Add message two modalities differ greatly (x2) number sequences biplot_pq() ggvenn_pq(). Add options na_remove, dist_method (including Aitchinson robust-Aitchinson distance), correction_for_sample_size rarefy_nb_seqs options adonis_pq() function. Add option na_remove graph_test_pq() function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"miscmetabar-033","dir":"Changelog","previous_headings":"","what":"MiscMetabar 0.33","title":"MiscMetabar 0.33","text":"Add function plot_tax_pq() plot taxonomic distribution (nb sequences nb ASV) across factor. Add option add_points make better axis hill_pq() function Add function blast_to_derep() order facilitate searching fasta sequences dereplicated sequences (obtained dada2::derepFastq) Add functions tsne_pq() plot_tsne_pq() quickly visualize results t-SNE multidimensional analysis based Rtsne::Rtsne() function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"miscmetabar-032","dir":"Changelog","previous_headings":"","what":"MiscMetabar 0.32","title":"MiscMetabar 0.32","text":"Add possibility select folder function count_seq() Add functions track_wkflow_samples() select_one_sample() Add option sam_data_first function write_pq() Add option reorder_asv rename_asv function write_pq() clean_pq Add function rotl_pq() build phylogenetic tree using ASV binomial names physeq object Open Tree Life tree.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"miscmetabar-031","dir":"Changelog","previous_headings":"","what":"MiscMetabar 0.31","title":"MiscMetabar 0.31","text":"Argument split_by make multiple plot given variable sam_data slot (function ggvenn_pq()) Argument seq_names asv2otu() function allow clusterize sequences character vector DNA. Add blast_pq() function blast sequences @ref_seq slot custom database Add filter_asv_blast() function filter ASV phyloseq dataset using blast custom database Add subset_taxa_pq() function filter ASV based named conditional vector. Used filter_asv_blast(). Add parameter force_taxa_as_columns (default FALSE) force_taxa_as_rows (default FALSE) clean_pq(). Add first version function count_fastq_seq() count sequences fastq.gz files directly R. Add taxonomic info track_wkflow() function (parameter taxonomy_rank)","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"miscmetabar-03","dir":"Changelog","previous_headings":"","what":"MiscMetabar 0.3","title":"MiscMetabar 0.3","text":"Change function names, mainly replacing physeq pk. Improve documentation using rules documented Rules vignettes. Add option sam_names() read_pq() Correction data_fungi data_fungi_sp_known metadata","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"miscmetabar-024","dir":"Changelog","previous_headings":"","what":"MiscMetabar 0.24","title":"MiscMetabar 0.24","text":"Add supplementary info summary_plot_physeq()` Better arguments biplot_physeq()`) Add merge_sample_by argument biplot_physeq()` Better documentation example. minors bugs fixes addition, see list commits","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"miscmetabar-023","dir":"Changelog","previous_headings":"","what":"MiscMetabar 0.23","title":"MiscMetabar 0.23","text":"Adapt function asv2otu() IdClusters change DECIPHER package (commit 254100922f2093cc789d018c18a26752a3cda1e3). change IdClusters function removed DECIPHER Clusterize function. Better functioning blast_to_phyloseq() none query sequences founded. Add tax_adjust argument asv2otu()function Add functions useful targets package Add biplot_physeq() function visualize two samples comparison physeq object Add argument modality tax_datatable() function split OTU abundancy level sample modality Add function multiple_share_bisamples() help compare samples pairs Add new function (ggVenn_phyloseq()) better venn diagram without area calculation (use venn_phyloseq() case). Add two functions helpful beta-diversity analysis (adonis_phyloseq() physeq_graph_test())","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"miscmetabar-022","dir":"Changelog","previous_headings":"","what":"MiscMetabar 0.22","title":"MiscMetabar 0.22","text":"Add badge set development lifecycle function Add lulu_phyloseq function make easy reclustering phyloseq object using lulu algorithm (https://www.nature.com/articles/s41467-017-01312-x) lulu package.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"miscmetabar-021","dir":"Changelog","previous_headings":"","what":"MiscMetabar 0.21","title":"MiscMetabar 0.21","text":"first release pkgdown.","code":""}]
+[{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/CODE_OF_CONDUCT.html","id":"our-pledge","dir":"","previous_headings":"","what":"Our Pledge","title":"Contributor Covenant Code of Conduct","text":"members, contributors, leaders pledge make participation community harassment-free experience everyone, regardless age, body size, visible invisible disability, ethnicity, sex characteristics, gender identity expression, level experience, education, socio-economic status, nationality, personal appearance, race, religion, sexual identity orientation. pledge act interact ways contribute open, welcoming, diverse, inclusive, healthy community.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CODE_OF_CONDUCT.html","id":"our-standards","dir":"","previous_headings":"","what":"Our Standards","title":"Contributor Covenant Code of Conduct","text":"Examples behavior contributes positive environment community include: Demonstrating empathy kindness toward people respectful differing opinions, viewpoints, experiences Giving gracefully accepting constructive feedback Accepting responsibility apologizing affected mistakes, learning experience Focusing best just us individuals, overall community Examples unacceptable behavior include: use sexualized language imagery, sexual attention advances kind Trolling, insulting derogatory comments, personal political attacks Public private harassment Publishing others’ private information, physical email address, without explicit permission conduct reasonably considered inappropriate professional setting","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CODE_OF_CONDUCT.html","id":"enforcement-responsibilities","dir":"","previous_headings":"","what":"Enforcement Responsibilities","title":"Contributor Covenant Code of Conduct","text":"Community leaders responsible clarifying enforcing standards acceptable behavior take appropriate fair corrective action response behavior deem inappropriate, threatening, offensive, harmful. Community leaders right responsibility remove, edit, reject comments, commits, code, wiki edits, issues, contributions aligned Code Conduct, communicate reasons moderation decisions appropriate.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CODE_OF_CONDUCT.html","id":"scope","dir":"","previous_headings":"","what":"Scope","title":"Contributor Covenant Code of Conduct","text":"Code Conduct applies within community spaces, also applies individual officially representing community public spaces. Examples representing community include using official e-mail address, posting via official social media account, acting appointed representative online offline event.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CODE_OF_CONDUCT.html","id":"enforcement","dir":"","previous_headings":"","what":"Enforcement","title":"Contributor Covenant Code of Conduct","text":"Instances abusive, harassing, otherwise unacceptable behavior may reported community leaders responsible enforcement adrientaudiere@tutanota.com. complaints reviewed investigated promptly fairly. community leaders obligated respect privacy security reporter incident.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CODE_OF_CONDUCT.html","id":"enforcement-guidelines","dir":"","previous_headings":"","what":"Enforcement Guidelines","title":"Contributor Covenant Code of Conduct","text":"Community leaders follow Community Impact Guidelines determining consequences action deem violation Code Conduct:","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CODE_OF_CONDUCT.html","id":"id_1-correction","dir":"","previous_headings":"Enforcement Guidelines","what":"1. Correction","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Use inappropriate language behavior deemed unprofessional unwelcome community. Consequence: private, written warning community leaders, providing clarity around nature violation explanation behavior inappropriate. public apology may requested.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CODE_OF_CONDUCT.html","id":"id_2-warning","dir":"","previous_headings":"Enforcement Guidelines","what":"2. Warning","title":"Contributor Covenant Code of Conduct","text":"Community Impact: violation single incident series actions. Consequence: warning consequences continued behavior. interaction people involved, including unsolicited interaction enforcing Code Conduct, specified period time. includes avoiding interactions community spaces well external channels like social media. Violating terms may lead temporary permanent ban.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CODE_OF_CONDUCT.html","id":"id_3-temporary-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"3. Temporary Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: serious violation community standards, including sustained inappropriate behavior. Consequence: temporary ban sort interaction public communication community specified period time. public private interaction people involved, including unsolicited interaction enforcing Code Conduct, allowed period. Violating terms may lead permanent ban.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CODE_OF_CONDUCT.html","id":"id_4-permanent-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"4. Permanent Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Demonstrating pattern violation community standards, including sustained inappropriate behavior, harassment individual, aggression toward disparagement classes individuals. Consequence: permanent ban sort public interaction within community.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CODE_OF_CONDUCT.html","id":"attribution","dir":"","previous_headings":"","what":"Attribution","title":"Contributor Covenant Code of Conduct","text":"Code Conduct adapted Contributor Covenant, version 2.0, available https://www.contributor-covenant.org/version/2/0/code_of_conduct.html. Community Impact Guidelines inspired Mozilla’s code conduct enforcement ladder. answers common questions code conduct, see FAQ https://www.contributor-covenant.org/faq. Translations available https://www.contributor-covenant.org/translations.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CONTRIBUTING.html","id":null,"dir":"","previous_headings":"","what":"Contributing to MiscMetabar","title":"Contributing to MiscMetabar","text":"First , thanks taking time contribute MiscMetabar! contributing guide heavily based contributing guide rcompendium. types contributions encouraged valued. See Table contents different ways help details project handles . Please make sure read relevant section making contribution. make lot easier us maintainers smooth experience involved.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CONTRIBUTING.html","id":"table-of-contents","dir":"","previous_headings":"","what":"Table of contents","title":"Contributing to MiscMetabar","text":"Code conduct Style guide Commit messages Asking questions Reporting bugs Requesting features Contributing code","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CONTRIBUTING.html","id":"code-of-conduct","dir":"","previous_headings":"","what":"Code of conduct","title":"Contributing to MiscMetabar","text":"project released Contributor Code Conduct. participating, expected uphold code. Please report unacceptable behavior adrien.taudiere@zaclys.net.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CONTRIBUTING.html","id":"style-guide","dir":"","previous_headings":"","what":"Style guide","title":"Contributing to MiscMetabar","text":"use Tidyverse style guide writing R code. Functions documented roxygen2 syntax. MiscMetabar uses lower_snake_case except want integrate names packages.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CONTRIBUTING.html","id":"commit-messages","dir":"","previous_headings":"","what":"Commit messages","title":"Contributing to MiscMetabar","text":"want contribute commiting changes, please try use (least ) Conventional commits specification.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CONTRIBUTING.html","id":"asking-questions","dir":"","previous_headings":"","what":"Asking questions","title":"Contributing to MiscMetabar","text":"ask question, best search existing Issues might help . case found suitable issue still need clarification, can write question issue. still feel need ask question need clarification, recommend following: Open new Issue. Use template other_issue.md. Provide much context can ’re running . Provide project platform versions (paste output sessionInfo()). take care issue soon possible.","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/CONTRIBUTING.html","id":"before-submitting-a-bug-report","dir":"","previous_headings":"Reporting bugs","what":"Before submitting a bug report","title":"Contributing to MiscMetabar","text":"good bug report shouldn’t leave others needing chase information. Therefore, ask investigate carefully, collect information describe issue detail report. Please complete following steps advance help us fix potential bug fast possible. Make sure using latest version MiscMetabar. Determine bug really bug error side. see users experienced (potentially already solved) issue , check already bug report existing bug error bug tracker.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CONTRIBUTING.html","id":"how-do-i-submit-a-bug-report","dir":"","previous_headings":"Reporting bugs","what":"How do I submit a bug report?","title":"Contributing to MiscMetabar","text":"use GitHub Issues track bugs errors. run issue project: Open new Issue. Use template bug_report.md. Explain behavior expect actual behavior. Please provide much context possible describe reproduction steps someone else can follow recreate issue . usually includes code reproducible example. take care issue soon possible.","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/CONTRIBUTING.html","id":"before-requesting-a-feature","dir":"","previous_headings":"Requesting features","what":"Before requesting a feature","title":"Contributing to MiscMetabar","text":"Make sure using latest version MiscMetabar. Read documentationcarefully find functionality already covered. Perform search see enhancement already suggested. , add comment existing issue instead opening new one.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CONTRIBUTING.html","id":"how-do-i-submit-a-feature-request","dir":"","previous_headings":"Requesting features","what":"How do I submit a feature request?","title":"Contributing to MiscMetabar","text":"Feature requests tracked GitHub Issues. Open new Issue. Use template feature_request.md. Provide clear descriptive title issue identify suggestion. Provide step--step description suggested enhancement many details possible. Explain enhancement useful MiscMetabar users. take care issue soon possible.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CONTRIBUTING.html","id":"contributing-code","dir":"","previous_headings":"","what":"Contributing code","title":"Contributing to MiscMetabar","text":"add rules package development pkgdown site . short : Always indicate required params (required) Indicate default values () set values possible (e.g “bray” parameter method [vegan::vegdist()]) (ii) value well thought good default value users (e.g. number permutation processors, level identity cluster 97%). Indicate type logical integer params. Homogenize params names across function. Prefer ASVs OTUs denomination, even thought almost interchangeable MiscMetabar package. #### Lifecycle Experimental: First status function Maturing: tests /analyses make stronger functions Stable: Good level confidence","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/CONTRIBUTING.html","id":"general-workflow","dir":"","previous_headings":"Contributing code","what":"General workflow","title":"Contributing to MiscMetabar","text":"use GitHub flow collaborate project: Fork repository using GitHub interface. Clone fork using git clone fork-url (replace fork-url URL fork). Alternatively, open RStudio IDE create New Project Version Control. Create new branch w/ git checkout -b branch-name (replace branch-name name new branch). Make contribution (see examples). Stage (git add) commit (git commit) changes often necessary Push changes GitHub w/ git push origin branch-name. Submit Pull Request original repo. review PR soon possible.","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/CONTRIBUTING.html","id":"editing-the-readme","dir":"","previous_headings":"Contributing code > Improve documentation","what":"Editing the README","title":"Contributing to MiscMetabar","text":"want contribute improving README, please edit README.Rmd (README.md). forget update README.md running:","code":"rmarkdown::render(\"README.Rmd\")"},{"path":"https://adrientaudiere.github.io/MiscMetabar/CONTRIBUTING.html","id":"editing-vignettes","dir":"","previous_headings":"Contributing code > Improve documentation","what":"Editing vignettes","title":"Contributing to MiscMetabar","text":"want contribute editing existing vignette, just edit corresponding Rmd file stored vignettes/ folder. want contribute adding new vignette, create new Rmd file vignettes/ folder add following header: use new external dependency, forget add DESCRIPTION file section Suggests (package already listed section Imports). Check integrity package :","code":"--- title: \"Vignette Title\" output: rmarkdown::html_vignette vignette: >   %\\VignetteIndexEntry{Vignette Title}   %\\VignetteEngine{knitr::rmarkdown}   %\\VignetteEncoding{UTF-8} --- devtools::check()"},{"path":"https://adrientaudiere.github.io/MiscMetabar/CONTRIBUTING.html","id":"editing-function-documentation","dir":"","previous_headings":"Contributing code > Improve documentation","what":"Editing function documentation","title":"Contributing to MiscMetabar","text":"want contribute improving documentation function, open corresponding file R/ folder edit lines starting #' (roxygen2 syntax). Update documentation (Rd files man/ folder) running: use new external dependency example section, forget add DESCRIPTION file section Imports (package already listed). Check integrity package :","code":"devtools::document() devtools::check()"},{"path":"https://adrientaudiere.github.io/MiscMetabar/CONTRIBUTING.html","id":"fix-bug","dir":"","previous_headings":"Contributing code","what":"Fix bug","title":"Contributing to MiscMetabar","text":"want contribute improving code function, open edit corresponding file R/ folder. Check integrity package : forget adapt unit tests function editing corresponding file stored tests/testthat/ folder. use package testthat implement unit tests. Check tests running: Warning, test time-consuming. Feel free improve speed tests!","code":"devtools::check() devtools::test()"},{"path":"https://adrientaudiere.github.io/MiscMetabar/CONTRIBUTING.html","id":"new-feature","dir":"","previous_headings":"Contributing code","what":"New feature","title":"Contributing to MiscMetabar","text":"want contribute submitting new feature, please follow workflow: Create new R file folder R/. Implement code function. Document function w/ roxygen2 syntax. necessary, add additional dependencies DESCRIPTION file. Update package documentation w/ devtools::document(). Create new R file folder tests/testthat/. Implement unit tests new function. Check integrity package w/ devtools::check(). Thanks contribution!","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/MiscMetabar.html","id":"raison-dêtre","dir":"Articles","previous_headings":"Introduction to MiscMetabar: an R package to facilitate visualization and reproducibility in metabarcoding analysis","what":"Raison d’être","title":"Introduction","text":"Complete R packages dada2 phyloseq Useful visualizations (biplot_pq, circle_pq, upset_pq, ggvenn_pq) Facilitate use targets package","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/MiscMetabar.html","id":"quick-overview","dir":"Articles","previous_headings":"Introduction to MiscMetabar: an R package to facilitate visualization and reproducibility in metabarcoding analysis","what":"Quick overview","title":"Introduction","text":"introduction metabarcoding R, Please visite state field vignettes. import, export track vignette explains import export phyloseq object. also show summarize useful information (number sequences, samples clusters) accross bioinformatic pipelines. interested ecological metrics, see vignettes describing alpha-diversity beta-diversity analysis. vignette filter taxa samples describes data-filtering processes using MiscMetabar reclustering tutorial introduces different way clustering already-clustered OTU/ASV. vignette tengeler explore dataset Tengeler et al. (2020) using MiscMetabar functions. developers, also wrote vignette describing som rules codes.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/MiscMetabar.html","id":"summarize-a-physeq-object","dir":"Articles","previous_headings":"Introduction to MiscMetabar: an R package to facilitate visualization and reproducibility in metabarcoding analysis > Quick overview","what":"Summarize a physeq object","title":"Introduction","text":"","code":"library(\"MiscMetabar\") #> Warning: replacing previous import 'S4Arrays::makeNindexFromArrayViewport' by #> 'DelayedArray::makeNindexFromArrayViewport' when loading 'SummarizedExperiment' library(\"phyloseq\") library(\"magrittr\") data(\"data_fungi\") summary_plot_pq(data_fungi)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/MiscMetabar.html","id":"create-an-interactive-table-of-the-tax_table","dir":"Articles","previous_headings":"Introduction to MiscMetabar: an R package to facilitate visualization and reproducibility in metabarcoding analysis > Quick overview","what":"Create an interactive table of the tax_table","title":"Introduction","text":"","code":"data(\"GlobalPatterns\", package = \"phyloseq\") tax_datatable(subset_taxa(   GlobalPatterns,   rowSums(GlobalPatterns@otu_table) > 100000 ))"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/MiscMetabar.html","id":"sankey-diagram-of-the-tax_table","dir":"Articles","previous_headings":"Introduction to MiscMetabar: an R package to facilitate visualization and reproducibility in metabarcoding analysis > Quick overview","what":"Sankey diagram of the tax_table","title":"Introduction","text":"","code":"gp <- subset_taxa(GlobalPatterns, GlobalPatterns@tax_table[, 1] == \"Archaea\") sankey_pq(gp, taxa = c(1:5))"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/MiscMetabar.html","id":"upset-plot-for-visualize-distribution-of-taxa-in-function-of-samples-variables","dir":"Articles","previous_headings":"Introduction to MiscMetabar: an R package to facilitate visualization and reproducibility in metabarcoding analysis > Quick overview","what":"Upset plot for visualize distribution of taxa in function of samples variables","title":"Introduction","text":"","code":"upset_pq(gp, \"SampleType\", taxa = \"Class\")"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/MiscMetabar.html","id":"references","dir":"Articles","previous_headings":"","what":"References","title":"Introduction","text":"Tengeler, .C., Dam, S.., Wiesmann, M. et al. Gut microbiota persons attention-deficit/hyperactivity disorder affects brain mice. Microbiome 8, 44 (2020). https://doi.org/10.1186/s40168-020-00816-x","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/MiscMetabar.html","id":"session-inform","dir":"Articles","previous_headings":"","what":"Session inform","title":"Introduction","text":"","code":"sessionInfo() #> R version 4.3.2 (2023-10-31) #> Platform: x86_64-pc-linux-gnu (64-bit) #> Running under: Ubuntu 22.04.3 LTS #>  #> Matrix products: default #> BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3  #> LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so;  LAPACK version 3.10.0 #>  #> locale: #>  [1] LC_CTYPE=C.UTF-8       LC_NUMERIC=C           LC_TIME=C.UTF-8        #>  [4] LC_COLLATE=C.UTF-8     LC_MONETARY=C.UTF-8    LC_MESSAGES=C.UTF-8    #>  [7] LC_PAPER=C.UTF-8       LC_NAME=C              LC_ADDRESS=C           #> [10] LC_TELEPHONE=C         LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C    #>  #> time zone: UTC #> tzcode source: system (glibc) #>  #> attached base packages: #> [1] stats     graphics  grDevices utils     datasets  methods   base      #>  #> other attached packages: #> [1] magrittr_2.0.3    MiscMetabar_0.7.5 dplyr_1.1.4       dada2_1.30.0      #> [5] Rcpp_1.0.12       ggplot2_3.4.4     phyloseq_1.46.0   #>  #> loaded via a namespace (and not attached): #>   [1] bitops_1.0-7                deldir_2.0-2                #>   [3] permute_0.9-7               rlang_1.1.3                 #>   [5] ade4_1.7-22                 matrixStats_1.2.0           #>   [7] compiler_4.3.2              mgcv_1.9-0                  #>   [9] png_0.1-8                   systemfonts_1.0.5           #>  [11] vctrs_0.6.5                 reshape2_1.4.4              #>  [13] stringr_1.5.1               pkgconfig_2.0.3             #>  [15] crayon_1.5.2                fastmap_1.1.1               #>  [17] ellipsis_0.3.2              XVector_0.42.0              #>  [19] labeling_0.4.3              utf8_1.2.4                  #>  [21] Rsamtools_2.18.0            rmarkdown_2.25              #>  [23] ragg_1.2.7                  purrr_1.0.2                 #>  [25] xfun_0.41                   zlibbioc_1.48.0             #>  [27] cachem_1.0.8                GenomeInfoDb_1.38.6         #>  [29] jsonlite_1.8.8              biomformat_1.30.0           #>  [31] highr_0.10                  rhdf5filters_1.14.1         #>  [33] DelayedArray_0.28.0         Rhdf5lib_1.24.2             #>  [35] BiocParallel_1.36.0         jpeg_0.1-10                 #>  [37] parallel_4.3.2              cluster_2.1.4               #>  [39] R6_2.5.1                    bslib_0.6.1                 #>  [41] stringi_1.8.3               RColorBrewer_1.1-3          #>  [43] ComplexUpset_1.3.3          GenomicRanges_1.54.1        #>  [45] jquerylib_0.1.4             SummarizedExperiment_1.32.0 #>  [47] iterators_1.0.14            knitr_1.45                  #>  [49] IRanges_2.36.0              Matrix_1.6-1.1              #>  [51] splines_4.3.2               igraph_2.0.1.1              #>  [53] tidyselect_1.2.0            abind_1.4-5                 #>  [55] yaml_2.3.8                  vegan_2.6-4                 #>  [57] codetools_0.2-19            hwriter_1.3.2.1             #>  [59] lattice_0.21-9              tibble_3.2.1                #>  [61] plyr_1.8.9                  Biobase_2.62.0              #>  [63] withr_3.0.0                 ShortRead_1.60.0            #>  [65] evaluate_0.23               desc_1.4.3                  #>  [67] survival_3.5-7              RcppParallel_5.1.7          #>  [69] Biostrings_2.70.2           pillar_1.9.0                #>  [71] MatrixGenerics_1.14.0       DT_0.31                     #>  [73] foreach_1.5.2               stats4_4.3.2                #>  [75] generics_0.1.3              RCurl_1.98-1.14             #>  [77] S4Vectors_0.40.2            munsell_0.5.0               #>  [79] scales_1.3.0                glue_1.7.0                  #>  [81] tools_4.3.2                 interp_1.1-6                #>  [83] data.table_1.15.0           GenomicAlignments_1.38.2    #>  [85] fs_1.6.3                    rhdf5_2.46.1                #>  [87] grid_4.3.2                  tidyr_1.3.1                 #>  [89] ape_5.7-1                   crosstalk_1.2.1             #>  [91] latticeExtra_0.6-30         colorspace_2.1-0            #>  [93] patchwork_1.2.0             networkD3_0.4               #>  [95] nlme_3.1-163                GenomeInfoDbData_1.2.11     #>  [97] cli_3.6.2                   textshaping_0.3.7           #>  [99] fansi_1.0.6                 S4Arrays_1.2.0              #> [101] gtable_0.3.4                sass_0.4.8                  #> [103] digest_0.6.34               BiocGenerics_0.48.1         #> [105] SparseArray_1.2.3           htmlwidgets_1.6.4           #> [107] farver_2.1.1                memoise_2.0.1               #> [109] htmltools_0.5.7             pkgdown_2.0.7               #> [111] multtest_2.58.0             lifecycle_1.0.4             #> [113] MASS_7.3-60"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/Reclustering.html","id":"re-clustering-asvs","dir":"Articles","previous_headings":"","what":"Re-clustering ASVs","title":"Reclustering","text":"ASV (stands Amplicon Sequence Variant; also called ESV Exact Amplicon Variant) DNA sequence obtained high-throughput analysis marker genes. OTU group closely related individuals created clustering sequences based threshold similarity. ASV special case OTU similarity threshold 100%. third concept zero-radius OTU zOTU (Edgar 2016) concept ASV compute softwares dada (e.g. vsearch). choice ASV OTU important lead different results (Joos et al. (2020), Box 2 Tedersoo et al. (2022), Chiarello et al. (2022)). articles recommend making choice depending question. example, ASV may better OTU describing group closely related species. addition, ASV comparable across different datasets (obtained using identical marker genes). hand, (Tedersoo et al. 2022) report ASV approaches overestimate richness common fungal species (due haplotype variation), underestimate richness rare species. therefore recommend use OTUs metabarcoding analyses fungal communities. Finally, (Kauserud 2023) argues ASV term falls within original OTU term recommends adopting OTU terms, concise clear report OTUs generated. Recent articles (Forster et al. 2019; Antich et al. 2021) propose use approach together. recommend () using ASV denoise dataset (ii) questions, clustering ASV sequences OTUs. goal function asv2otu(), using either DECIPHER::Clusterize function R vsearch software.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/Reclustering.html","id":"using-decipher-or-vsearch-algorithm","dir":"Articles","previous_headings":"Re-clustering ASVs","what":"Using decipher or Vsearch algorithm","title":"Reclustering","text":"vsearch method requires installation Vsearch.","code":"data(data_fungi_sp_known) otu <- asv2otu(data_fungi_sp_known, method = \"clusterize\") #> Partitioning sequences by 5-mer similarity: #> ================================================================================ #> Time difference of 0.16 secs #>  #> Sorting by relatedness within 1 group: #>  iteration 99 of up to 325 (100.0% stability)  #>  #> Time difference of 3.92 secs #>  #> Clustering sequences by 8-mer similarity: #> ================================================================================ #>  #> Time difference of 1.62 secs #>  #> Clusters via relatedness sorting: 100% (0% exclusively) #> Clusters via rare 5-mers: 100% (0% exclusively) #> Estimated clustering effectiveness: 100% otu_vs <- asv2otu(data_fungi_sp_known, method = \"vsearch\") summary_plot_pq(data_fungi_sp_known) summary_plot_pq(otu)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/Reclustering.html","id":"using-lulu-algorithm-link-to-lulu-article","dir":"Articles","previous_headings":"Re-clustering ASVs","what":"Using lulu algorithm (link to LULU article)","title":"Reclustering","text":"Another post-clustering transformation method implemented lulu_pq(), uses Frøslev et al. (2017)’s method curation DNA amplicon data. aim clean non-biological information make explicitly less clusters.","code":"data(data_fungi_sp_known) lulu_res <- lulu_pq(data_fungi_sp_known) summary_plot_pq(data_fungi_sp_known) summary_plot_pq(lulu_res$new_physeq)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/Reclustering.html","id":"tracking-number-of-samples-sequences-and-clusters","dir":"Articles","previous_headings":"Re-clustering ASVs","what":"Tracking number of samples, sequences and clusters","title":"Reclustering","text":"","code":"track_wkflow(list(   \"Raw data\" = data_fungi_sp_known,   \"OTU\" = otu,   \"OTU_vsearch\" = otu_vs,   \"LULU\" = lulu_res[[1]] )) #>             nb_sequences nb_clusters nb_samples #> Raw data         1106581         651        185 #> OTU              1106581         363        185 #> OTU_vsearch      1106581         362        185 #> LULU             1106581         549        185"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/Reclustering.html","id":"session-information","dir":"Articles","previous_headings":"","what":"Session information","title":"Reclustering","text":"","code":"sessionInfo() #> R version 4.3.2 (2023-10-31) #> Platform: x86_64-pc-linux-gnu (64-bit) #> Running under: Ubuntu 22.04.3 LTS #>  #> Matrix products: default #> BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3  #> LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so;  LAPACK version 3.10.0 #>  #> locale: #>  [1] LC_CTYPE=C.UTF-8       LC_NUMERIC=C           LC_TIME=C.UTF-8        #>  [4] LC_COLLATE=C.UTF-8     LC_MONETARY=C.UTF-8    LC_MESSAGES=C.UTF-8    #>  [7] LC_PAPER=C.UTF-8       LC_NAME=C              LC_ADDRESS=C           #> [10] LC_TELEPHONE=C         LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C    #>  #> time zone: UTC #> tzcode source: system (glibc) #>  #> attached base packages: #> [1] stats     graphics  grDevices utils     datasets  methods   base      #>  #> other attached packages: #> [1] MiscMetabar_0.7.5 dplyr_1.1.4       dada2_1.30.0      Rcpp_1.0.12       #> [5] ggplot2_3.4.4     phyloseq_1.46.0   #>  #> loaded via a namespace (and not attached): #>   [1] DBI_1.2.1                   bitops_1.0-7                #>   [3] pbapply_1.7-2               deldir_2.0-2                #>   [5] permute_0.9-7               rlang_1.1.3                 #>   [7] magrittr_2.0.3              ade4_1.7-22                 #>   [9] RSQLite_2.3.5               matrixStats_1.2.0           #>  [11] compiler_4.3.2              mgcv_1.9-0                  #>  [13] png_0.1-8                   systemfonts_1.0.5           #>  [15] vctrs_0.6.5                 reshape2_1.4.4              #>  [17] stringr_1.5.1               pkgconfig_2.0.3             #>  [19] crayon_1.5.2                fastmap_1.1.1               #>  [21] XVector_0.42.0              labeling_0.4.3              #>  [23] utf8_1.2.4                  Rsamtools_2.18.0            #>  [25] rmarkdown_2.25              ragg_1.2.7                  #>  [27] bit_4.0.5                   purrr_1.0.2                 #>  [29] xfun_0.41                   zlibbioc_1.48.0             #>  [31] cachem_1.0.8                GenomeInfoDb_1.38.6         #>  [33] jsonlite_1.8.8              biomformat_1.30.0           #>  [35] blob_1.2.4                  highr_0.10                  #>  [37] rhdf5filters_1.14.1         DelayedArray_0.28.0         #>  [39] Rhdf5lib_1.24.2             BiocParallel_1.36.0         #>  [41] jpeg_0.1-10                 parallel_4.3.2              #>  [43] cluster_2.1.4               R6_2.5.1                    #>  [45] bslib_0.6.1                 stringi_1.8.3               #>  [47] RColorBrewer_1.1-3          GenomicRanges_1.54.1        #>  [49] jquerylib_0.1.4             SummarizedExperiment_1.32.0 #>  [51] iterators_1.0.14            knitr_1.45                  #>  [53] DECIPHER_2.30.0             IRanges_2.36.0              #>  [55] Matrix_1.6-1.1              splines_4.3.2               #>  [57] igraph_2.0.1.1              tidyselect_1.2.0            #>  [59] abind_1.4-5                 yaml_2.3.8                  #>  [61] vegan_2.6-4                 codetools_0.2-19            #>  [63] hwriter_1.3.2.1             lattice_0.21-9              #>  [65] tibble_3.2.1                plyr_1.8.9                  #>  [67] Biobase_2.62.0              withr_3.0.0                 #>  [69] ShortRead_1.60.0            evaluate_0.23               #>  [71] desc_1.4.3                  survival_3.5-7              #>  [73] RcppParallel_5.1.7          Biostrings_2.70.2           #>  [75] pillar_1.9.0                MatrixGenerics_1.14.0       #>  [77] foreach_1.5.2               stats4_4.3.2                #>  [79] generics_0.1.3              RCurl_1.98-1.14             #>  [81] S4Vectors_0.40.2            munsell_0.5.0               #>  [83] scales_1.3.0                glue_1.7.0                  #>  [85] tools_4.3.2                 interp_1.1-6                #>  [87] data.table_1.15.0           GenomicAlignments_1.38.2    #>  [89] fs_1.6.3                    rhdf5_2.46.1                #>  [91] grid_4.3.2                  ape_5.7-1                   #>  [93] latticeExtra_0.6-30         colorspace_2.1-0            #>  [95] nlme_3.1-163                GenomeInfoDbData_1.2.11     #>  [97] cli_3.6.2                   textshaping_0.3.7           #>  [99] fansi_1.0.6                 S4Arrays_1.2.0              #> [101] gtable_0.3.4                sass_0.4.8                  #> [103] digest_0.6.34               BiocGenerics_0.48.1         #> [105] SparseArray_1.2.3           farver_2.1.1                #> [107] memoise_2.0.1               htmltools_0.5.7             #> [109] pkgdown_2.0.7               multtest_2.58.0             #> [111] lifecycle_1.0.4             bit64_4.0.5                 #> [113] MASS_7.3-60"},{"path":[]},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/Rules.html","id":"documentation","dir":"Articles","previous_headings":"Rules for the package development","what":"Documentation","title":"Rules","text":"Always indicate required params (required) Indicate default values () set values possible [e.g \"bray\" parameter method vegan::vegdist()] (ii) value well thought good default value users [e.g. number permutation processors, level identity cluster 97%]. Indicate type logical integer params. Homogenize params names across function. Prefer ASVs OTUs denomination, even thought almost interchangeable MiscMetabar package.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/Rules.html","id":"lifecycle","dir":"Articles","previous_headings":"Rules for the package development","what":"Lifecycle","title":"Rules","text":"Experimental: First status function Maturing: tests /analyses make stronger functions Stable: Good level confidence","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/Rules.html","id":"session-information","dir":"Articles","previous_headings":"","what":"Session information","title":"Rules","text":"","code":"sessionInfo() ## R version 4.3.2 (2023-10-31) ## Platform: x86_64-pc-linux-gnu (64-bit) ## Running under: Ubuntu 22.04.3 LTS ##  ## Matrix products: default ## BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3  ## LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so;  LAPACK version 3.10.0 ##  ## locale: ##  [1] LC_CTYPE=C.UTF-8       LC_NUMERIC=C           LC_TIME=C.UTF-8        ##  [4] LC_COLLATE=C.UTF-8     LC_MONETARY=C.UTF-8    LC_MESSAGES=C.UTF-8    ##  [7] LC_PAPER=C.UTF-8       LC_NAME=C              LC_ADDRESS=C           ## [10] LC_TELEPHONE=C         LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C    ##  ## time zone: UTC ## tzcode source: system (glibc) ##  ## attached base packages: ## [1] stats     graphics  grDevices utils     datasets  methods   base      ##  ## loaded via a namespace (and not attached): ##  [1] vctrs_0.6.5       cli_3.6.2         knitr_1.45        rlang_1.1.3       ##  [5] xfun_0.41         stringi_1.8.3     purrr_1.0.2       textshaping_0.3.7 ##  [9] jsonlite_1.8.8    glue_1.7.0        htmltools_0.5.7   ragg_1.2.7        ## [13] sass_0.4.8        rmarkdown_2.25    evaluate_0.23     jquerylib_0.1.4   ## [17] fastmap_1.1.1     yaml_2.3.8        lifecycle_1.0.4   memoise_2.0.1     ## [21] stringr_1.5.1     compiler_4.3.2    fs_1.6.3          systemfonts_1.0.5 ## [25] digest_0.6.34     R6_2.5.1          magrittr_2.0.3    bslib_0.6.1       ## [29] tools_4.3.2       pkgdown_2.0.7     cachem_1.0.8      desc_1.4.3"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/alpha-div.html","id":"hill-number","dir":"Articles","previous_headings":"Alpha diversity","what":"Hill number","title":"alpha-div","text":"Numerous metrics diversity exist. Hill numbers 1 kind general framework alpha diversity index.","code":"renyi_res <- vegan::renyi(data_fungi@otu_table) head(renyi_res) #>                                       0     0.25      0.5         1         2 #> A10-005-B_S188_MERGED.fastq.gz 4.204693 3.615323 3.044244 2.0754183 1.1561862 #> A10-005-H_S189_MERGED.fastq.gz 4.248495 3.150337 2.063712 0.9938545 0.6464533 #> A10-005-M_S190_MERGED.fastq.gz 3.988984 3.607773 3.308361 2.9304156 2.5781603 #> A12-007_S191_MERGED.fastq.gz   5.036953 4.423283 3.751946 2.6309045 1.8468497 #> A12-007-B_S2_MERGED.fastq.gz   3.850148 3.349461 2.874269 2.1881145 1.6533262 #> A15-004_S3_MERGED.fastq.gz     4.025352 3.890614 3.747555 3.4533352 2.9618789 #>                                        4         8        16        32 #> A10-005-B_S188_MERGED.fastq.gz 0.8007816 0.6864775 0.6407124 0.6200442 #> A10-005-H_S189_MERGED.fastq.gz 0.5146170 0.4469617 0.4172228 0.4037640 #> A10-005-M_S190_MERGED.fastq.gz 2.3022639 2.1015018 1.9744485 1.9110311 #> A12-007_S191_MERGED.fastq.gz   1.5920328 1.4947479 1.4421368 1.4109287 #> A12-007-B_S2_MERGED.fastq.gz   1.3979355 1.2774402 1.2106906 1.1733049 #> A15-004_S3_MERGED.fastq.gz     2.4997916 2.2378349 2.1045646 2.0377518 #>                                       64       Inf #> A10-005-B_S188_MERGED.fastq.gz 0.6102022 0.6006678 #> A10-005-H_S189_MERGED.fastq.gz 0.3973550 0.3911464 #> A10-005-M_S190_MERGED.fastq.gz 1.8806976 1.8513117 #> A12-007_S191_MERGED.fastq.gz   1.3916365 1.3700776 #> A12-007-B_S2_MERGED.fastq.gz   1.1547034 1.1366612 #> A15-004_S3_MERGED.fastq.gz     2.0054156 1.9740810"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/alpha-div.html","id":"test-for-difference-in-diversity-hill-number","dir":"Articles","previous_headings":"Alpha diversity","what":"Test for difference in diversity (hill number)","title":"alpha-div","text":"One way keep account difference number sequences per samples use Tukey test linear model square roots number sequence first explanatory variable linear model 2. Hill number 1 Result Tuckey post-hoc test See also tutorial microbiome package alternative using non-parametric Kolmogorov-Smirnov test two-group comparisons relevant covariates.","code":"p <- MiscMetabar::hill_pq(data_fungi, variable = \"Height\") p$plot_Hill_0 p$plot_tuckey"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/alpha-div.html","id":"alpha-diversity-using-package-microbiotaprocess","dir":"Articles","previous_headings":"","what":"Alpha diversity using package MicrobiotaProcess","title":"alpha-div","text":"","code":"library(\"MicrobiotaProcess\") library(\"ggh4x\") clean_pq(subset_samples_pq(data_fungi, !is.na(data_fungi@sam_data$Height))) %>%   as.MPSE() %>%   mp_cal_alpha() %>%   mp_plot_alpha(.group = \"Height\") #> Warning in wilcox.test.default(c(4, 4, 5, 5, 4, 4, 3, 6, 3, 4, 3, 2, 3, : #> cannot compute exact p-value with ties #> Warning in wilcox.test.default(c(3, 4, 3, 5, 4, 6, 3, 5, 4, 4, 3, 3, 3, : #> cannot compute exact p-value with ties #> Warning in wilcox.test.default(c(3, 4, 3, 5, 4, 6, 3, 5, 4, 4, 3, 3, 3, : #> cannot compute exact p-value with ties #> Warning in wilcox.test.default(c(1.32966134885476, 1.242453324894, #> 1.56071040904141, : cannot compute exact p-value with ties #> Warning in wilcox.test.default(c(0.867563228481461, 1.32966134885476, #> 0.867563228481461, : cannot compute exact p-value with ties #> Warning in wilcox.test.default(c(0.867563228481461, 1.32966134885476, #> 0.867563228481461, : cannot compute exact p-value with ties"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/alpha-div.html","id":"session-information","dir":"Articles","previous_headings":"","what":"Session information","title":"alpha-div","text":"","code":"sessionInfo() #> R version 4.3.2 (2023-10-31) #> Platform: x86_64-pc-linux-gnu (64-bit) #> Running under: Ubuntu 22.04.3 LTS #>  #> Matrix products: default #> BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3  #> LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so;  LAPACK version 3.10.0 #>  #> locale: #>  [1] LC_CTYPE=C.UTF-8       LC_NUMERIC=C           LC_TIME=C.UTF-8        #>  [4] LC_COLLATE=C.UTF-8     LC_MONETARY=C.UTF-8    LC_MESSAGES=C.UTF-8    #>  [7] LC_PAPER=C.UTF-8       LC_NAME=C              LC_ADDRESS=C           #> [10] LC_TELEPHONE=C         LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C    #>  #> time zone: UTC #> tzcode source: system (glibc) #>  #> attached base packages: #> [1] stats     graphics  grDevices utils     datasets  methods   base      #>  #> other attached packages: #> [1] ggh4x_0.2.8              MicrobiotaProcess_1.14.0 MiscMetabar_0.7.5        #> [4] dplyr_1.1.4              dada2_1.30.0             Rcpp_1.0.12              #> [7] ggplot2_3.4.4            phyloseq_1.46.0          #>  #> loaded via a namespace (and not attached): #>   [1] libcoin_1.0-10              RColorBrewer_1.1-3          #>   [3] jsonlite_1.8.8              magrittr_2.0.3              #>   [5] TH.data_1.1-2               modeltools_0.2-23           #>   [7] farver_2.1.1                rmarkdown_2.25              #>   [9] fs_1.6.3                    zlibbioc_1.48.0             #>  [11] ragg_1.2.7                  vctrs_0.6.5                 #>  [13] multtest_2.58.0             memoise_2.0.1               #>  [15] Rsamtools_2.18.0            RCurl_1.98-1.14             #>  [17] ggtree_3.10.0               htmltools_0.5.7             #>  [19] S4Arrays_1.2.0              Rhdf5lib_1.24.2             #>  [21] gridGraphics_0.5-1          SparseArray_1.2.3           #>  [23] rhdf5_2.46.1                sass_0.4.8                  #>  [25] bslib_0.6.1                 desc_1.4.3                  #>  [27] plyr_1.8.9                  sandwich_3.1-0              #>  [29] zoo_1.8-12                  cachem_1.0.8                #>  [31] GenomicAlignments_1.38.2    igraph_2.0.1.1              #>  [33] lifecycle_1.0.4             iterators_1.0.14            #>  [35] pkgconfig_2.0.3             Matrix_1.6-1.1              #>  [37] R6_2.5.1                    fastmap_1.1.1               #>  [39] GenomeInfoDbData_1.2.11     MatrixGenerics_1.14.0       #>  [41] aplot_0.2.2                 digest_0.6.34               #>  [43] ggnewscale_0.4.9            colorspace_2.1-0            #>  [45] ShortRead_1.60.0            patchwork_1.2.0             #>  [47] S4Vectors_0.40.2            textshaping_0.3.7           #>  [49] GenomicRanges_1.54.1        hwriter_1.3.2.1             #>  [51] vegan_2.6-4                 labeling_0.4.3              #>  [53] fansi_1.0.6                 abind_1.4-5                 #>  [55] mgcv_1.9-0                  compiler_4.3.2              #>  [57] withr_3.0.0                 BiocParallel_1.36.0         #>  [59] highr_0.10                  ggsignif_0.6.4              #>  [61] MASS_7.3-60                 DelayedArray_0.28.0         #>  [63] biomformat_1.30.0           permute_0.9-7               #>  [65] tools_4.3.2                 ape_5.7-1                   #>  [67] glue_1.7.0                  nlme_3.1-163                #>  [69] rhdf5filters_1.14.1         grid_4.3.2                  #>  [71] cluster_2.1.4               reshape2_1.4.4              #>  [73] ade4_1.7-22                 generics_0.1.3              #>  [75] gtable_0.3.4                tidyr_1.3.1                 #>  [77] data.table_1.15.0           coin_1.4-3                  #>  [79] utf8_1.2.4                  XVector_0.42.0              #>  [81] BiocGenerics_0.48.1         ggrepel_0.9.5               #>  [83] foreach_1.5.2               pillar_1.9.0                #>  [85] stringr_1.5.1               yulab.utils_0.1.4           #>  [87] splines_4.3.2               gghalves_0.1.4              #>  [89] treeio_1.26.0               lattice_0.21-9              #>  [91] survival_3.5-7              deldir_2.0-2                #>  [93] tidyselect_1.2.0            Biostrings_2.70.2           #>  [95] knitr_1.45                  gridExtra_2.3               #>  [97] IRanges_2.36.0              SummarizedExperiment_1.32.0 #>  [99] ggtreeExtra_1.12.0          stats4_4.3.2                #> [101] xfun_0.41                   Biobase_2.62.0              #> [103] matrixStats_1.2.0           stringi_1.8.3               #> [105] lazyeval_0.2.2              ggfun_0.1.4                 #> [107] yaml_2.3.8                  evaluate_0.23               #> [109] codetools_0.2-19            interp_1.1-6                #> [111] tibble_3.2.1                ggplotify_0.1.2             #> [113] cli_3.6.2                   RcppParallel_5.1.7          #> [115] systemfonts_1.0.5           munsell_0.5.0               #> [117] jquerylib_0.1.4             GenomeInfoDb_1.38.6         #> [119] png_0.1-8                   parallel_4.3.2              #> [121] pkgdown_2.0.7               latticeExtra_0.6-30         #> [123] jpeg_0.1-10                 bitops_1.0-7                #> [125] ggstar_1.0.4                mvtnorm_1.2-4               #> [127] tidytree_0.4.6              scales_1.3.0                #> [129] purrr_1.0.2                 crayon_1.5.2                #> [131] rlang_1.1.3                 multcomp_1.4-25"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/beta-div.html","id":"permanova","dir":"Articles","previous_headings":"","what":"Permanova","title":"beta-div","text":"","code":"data_fungi_woNA4height <- subset_samples(data_fungi, !is.na(data_fungi@sam_data$Height)) res_ado <- adonis_pq(data_fungi_woNA4height, \"Tree_name+Height\") knitr::kable(res_ado)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/beta-div.html","id":"graph-test","dir":"Articles","previous_headings":"","what":"Graph Test","title":"beta-div","text":"","code":"data_fungi_woNA4height <- subset_samples(data_fungi, !is.na(data_fungi@sam_data$Height)) graph_test_pq(data_fungi_woNA4height, \"Height\")"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/beta-div.html","id":"circle-of-asvs","dir":"Articles","previous_headings":"","what":"Circle of ASVs","title":"beta-div","text":"","code":"circle_pq(data_fungi_woNA4height, \"Height\")"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/beta-div.html","id":"biplot","dir":"Articles","previous_headings":"Compare two (group of) samples","what":"Biplot","title":"beta-div","text":"","code":"data_fungi_low_high <- subset_samples(   data_fungi,   data_fungi@sam_data$Height %in%     c(\"Low\", \"High\") ) data_fungi_low_high <- subset_taxa_pq(   data_fungi_low_high,   taxa_sums(data_fungi_low_high) > 5000 ) biplot_pq(data_fungi_low_high, fact = \"Height\", merge_sample_by = \"Height\") #> Warning: Removed 1 rows containing missing values (`geom_rect()`)."},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/beta-div.html","id":"compare-two-group-of-samples-with-a-table","dir":"Articles","previous_headings":"Compare two (group of) samples","what":"Compare two (group of) samples with a table","title":"beta-div","text":"","code":"compare_pairs_pq(data_fungi_low_high,   bifactor = \"Height\",   merge_sample_by = \"Height\",   modality = \"Time\" ) #> # A tibble: 4 × 13 #>   modality nb_ASV_High nb_ASV_Low nb_shared_ASV div_High div_Low nb_shared_seq #>   <chr>          <dbl>      <dbl>         <dbl>    <dbl>   <dbl>         <dbl> #> 1 0                 12         16             9     1.8     1.37         57639 #> 2 5                 20         18            14     1.95    1.98         76006 #> 3 10                11         13            10     1.18    1.25         47042 #> 4 15                17         19            12     2       2.04        161348 #> # ℹ 6 more variables: percent_shared_seq_High <dbl>, #> #   percent_shared_seq_Low <dbl>, percent_shared_ASV_High <dbl>, #> #   percent_shared_ASV_Low <dbl>, ratio_nb_High_Low <dbl>, #> #   ratio_div_High_Low <dbl>"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/beta-div.html","id":"venn-diagram","dir":"Articles","previous_headings":"","what":"Venn diagram","title":"beta-div","text":"","code":"library(\"grid\") venn_pq(data_fungi, fact = \"Height\") ggvenn_pq(data_fungi, fact = \"Height\") +   ggplot2::scale_fill_distiller(palette = \"BuPu\", direction = 1) +   labs(title = \"Share number of ASV among Height in tree\") ggvenn_pq(data_fungi, fact = \"Height\", min_nb_seq = 5000) +   ggplot2::scale_fill_distiller(palette = \"BuPu\", direction = 1) +   labs(title = \"Share number of ASV with more than 5000 seqs\") ggvenn_pq(data_fungi,   fact = \"Height\", taxonomic_rank = \"Genus\",   min_nb_seq = 100 ) +   ggplot2::scale_fill_distiller(palette = \"BuPu\", direction = 1) +   labs(title = \"Share number of Genus represented by at least one ASV with more than 100 seqs\")"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/beta-div.html","id":"upset-plot","dir":"Articles","previous_headings":"","what":"Upset plot","title":"beta-div","text":"Venn diagram can quickly become complex read number modalities increase. One graphical solution upset plot. MiscMetabar propose solution based package ComplexUpset.   ComplexUpset package allow powerful configuration plot can see following figure.","code":"upset_pq(data_fungi, fact = \"Height\") upset_pq(data_fungi, fact = \"Time\") upset_pq(   data_fungi,   fact = \"Time\",   width_ratio = 0.2,   annotations = list(     \"Sequences per ASV \\n (log10)\" = (       ggplot(mapping = aes(y = log10(Abundance)))       +         geom_jitter(aes(           color =             Abundance         ), na.rm = TRUE)         +         geom_violin(alpha = 0.5, na.rm = TRUE) +         theme(legend.key.size = unit(0.2, \"cm\")) +         theme(axis.text = element_text(size = 12))     ),     \"ASV per phylum\" = (       ggplot(mapping = aes(fill = Phylum))       +         geom_bar() +         ylab(\"ASV per phylum\") +         theme(legend.key.size = unit(0.2, \"cm\")) +         theme(axis.text = element_text(size = 12))     )   ) )"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/beta-div.html","id":"benchdamic","dir":"Articles","previous_headings":"Change in abundance across a factor","what":"Benchdamic","title":"beta-div","text":"lot available methods. Please refer R package benchdamic list method implementation benchmark data.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/beta-div.html","id":"library-requirement-for-debian-linux-os","dir":"Articles","previous_headings":"Change in abundance across a factor","what":"Library requirement for Debian Linux OS","title":"beta-div","text":"","code":"sudo apt-get install libgsl-dev libmpfr-dev"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/beta-div.html","id":"using-deseq2-package","dir":"Articles","previous_headings":"Change in abundance across a factor","what":"Using Deseq2 package","title":"beta-div","text":"","code":"data(\"GlobalPatterns\", package = \"phyloseq\") GP <- subset_samples(   GlobalPatterns,   GlobalPatterns@sam_data$SampleType %in% c(\"Soil\", \"Skin\") )  plot_deseq2_pq(GP, c(\"SampleType\", \"Soil\", \"Skin\"), pval = 0.001)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/beta-div.html","id":"session-information","dir":"Articles","previous_headings":"","what":"Session information","title":"beta-div","text":"","code":"sessionInfo() #> R version 4.3.2 (2023-10-31) #> Platform: x86_64-pc-linux-gnu (64-bit) #> Running under: Ubuntu 22.04.3 LTS #>  #> Matrix products: default #> BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3  #> LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so;  LAPACK version 3.10.0 #>  #> locale: #>  [1] LC_CTYPE=C.UTF-8          LC_NUMERIC=C              #>  [3] LC_TIME=C.UTF-8           LC_COLLATE=C.UTF-8        #>  [5] LC_MONETARY=C.UTF-8       LC_MESSAGES=C.UTF-8       #>  [7] LC_PAPER=C.UTF-8          LC_NAME=C.UTF-8           #>  [9] LC_ADDRESS=C.UTF-8        LC_TELEPHONE=C.UTF-8      #> [11] LC_MEASUREMENT=C.UTF-8    LC_IDENTIFICATION=C.UTF-8 #>  #> time zone: UTC #> tzcode source: system (glibc) #>  #> attached base packages: #> [1] grid      stats     graphics  grDevices utils     datasets  methods   #> [8] base      #>  #> other attached packages: #> [1] MiscMetabar_0.7.5 dplyr_1.1.4       dada2_1.30.0      Rcpp_1.0.12       #> [5] ggplot2_3.4.4     phyloseq_1.46.0   #>  #> loaded via a namespace (and not attached): #>   [1] bitops_1.0-7                pbapply_1.7-2               #>   [3] deldir_2.0-2                gridExtra_2.3               #>   [5] permute_0.9-7               rlang_1.1.3                 #>   [7] magrittr_2.0.3              ade4_1.7-22                 #>   [9] matrixStats_1.2.0           compiler_4.3.2              #>  [11] mgcv_1.9-0                  png_0.1-8                   #>  [13] systemfonts_1.0.5           vctrs_0.6.5                 #>  [15] reshape2_1.4.4              phyloseqGraphTest_0.1.1     #>  [17] stringr_1.5.1               shape_1.4.6                 #>  [19] pkgconfig_2.0.3             crayon_1.5.2                #>  [21] fastmap_1.1.1               XVector_0.42.0              #>  [23] labeling_0.4.3              utf8_1.2.4                  #>  [25] Rsamtools_2.18.0            rmarkdown_2.25              #>  [27] ragg_1.2.7                  purrr_1.0.2                 #>  [29] xfun_0.41                   zlibbioc_1.48.0             #>  [31] cachem_1.0.8                GenomeInfoDb_1.38.6         #>  [33] jsonlite_1.8.8              biomformat_1.30.0           #>  [35] highr_0.10                  rhdf5filters_1.14.1         #>  [37] DelayedArray_0.28.0         Rhdf5lib_1.24.2             #>  [39] BiocParallel_1.36.0         jpeg_0.1-10                 #>  [41] parallel_4.3.2              cluster_2.1.4               #>  [43] R6_2.5.1                    bslib_0.6.1                 #>  [45] stringi_1.8.3               RColorBrewer_1.1-3          #>  [47] ComplexUpset_1.3.3          GenomicRanges_1.54.1        #>  [49] jquerylib_0.1.4             SummarizedExperiment_1.32.0 #>  [51] iterators_1.0.14            knitr_1.45                  #>  [53] IRanges_2.36.0              Matrix_1.6-1.1              #>  [55] splines_4.3.2               igraph_2.0.1.1              #>  [57] tidyselect_1.2.0            abind_1.4-5                 #>  [59] yaml_2.3.8                  ggVennDiagram_1.5.0         #>  [61] vegan_2.6-4                 codetools_0.2-19            #>  [63] hwriter_1.3.2.1             lattice_0.21-9              #>  [65] tibble_3.2.1                plyr_1.8.9                  #>  [67] Biobase_2.62.0              withr_3.0.0                 #>  [69] ShortRead_1.60.0            evaluate_0.23               #>  [71] desc_1.4.3                  survival_3.5-7              #>  [73] rJava_1.0-11                RcppParallel_5.1.7          #>  [75] circlize_0.4.15             Biostrings_2.70.2           #>  [77] pillar_1.9.0                MatrixGenerics_1.14.0       #>  [79] foreach_1.5.2               stats4_4.3.2                #>  [81] generics_0.1.3              RCurl_1.98-1.14             #>  [83] S4Vectors_0.40.2            munsell_0.5.0               #>  [85] scales_1.3.0                ggnetwork_0.5.12            #>  [87] glue_1.7.0                  tools_4.3.2                 #>  [89] interp_1.1-6                data.table_1.15.0           #>  [91] locfit_1.5-9.8              GenomicAlignments_1.38.2    #>  [93] fs_1.6.3                    rhdf5_2.46.1                #>  [95] tidyr_1.3.1                 ape_5.7-1                   #>  [97] latticeExtra_0.6-30         colorspace_2.1-0            #>  [99] patchwork_1.2.0             nlme_3.1-163                #> [101] GenomeInfoDbData_1.2.11     cli_3.6.2                   #> [103] textshaping_0.3.7           fansi_1.0.6                 #> [105] S4Arrays_1.2.0              gtable_0.3.4                #> [107] DESeq2_1.42.0               sass_0.4.8                  #> [109] digest_0.6.34               BiocGenerics_0.48.1         #> [111] SparseArray_1.2.3           farver_2.1.1                #> [113] venneuler_1.1-4             memoise_2.0.1               #> [115] htmltools_0.5.7             pkgdown_2.0.7               #> [117] multtest_2.58.0             lifecycle_1.0.4             #> [119] GlobalOptions_0.1.2         MASS_7.3-60"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/explore_data.html","id":"explore-samples-metadata","dir":"Articles","previous_headings":"","what":"Explore samples metadata","title":"explore_data","text":"Table scan generated pointblank. X  character  Sample_names  character  Tree_name  character  Sample_id  integer  Height  character  Diameter  character  Time  integer","code":"sam_tab <- tibble::as_tibble(unclass(data_fungi@sam_data)) summarytools::dfSummary(sam_tab) #> Warning: no DISPLAY variable so Tk is not available #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display ''  #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display ''  #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display '' #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display '' #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display ''  #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display ''  #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display '' #> Data Frame Summary   #> sam_tab   #> Dimensions: 185 x 7   #> Duplicates: 0   #>  #> -------------------------------------------------------------------------------------------------------------------- #> No   Variable       Stats / Values                  Freqs (% of Valid)    Graph                 Valid      Missing   #> ---- -------------- ------------------------------- --------------------- --------------------- ---------- --------- #> 1    X              1. A10-005-B_S188_MERGED.fas      1 ( 0.5%)                                 185        0         #>      [character]    2. A10-005-H_S189_MERGED.fas      1 ( 0.5%)                                 (100.0%)   (0.0%)    #>                     3. A10-005-M_S190_MERGED.fas      1 ( 0.5%)                                                      #>                     4. A12-007_S191_MERGED.fastq      1 ( 0.5%)                                                      #>                     5. A12-007-B_S2_MERGED.fastq      1 ( 0.5%)                                                      #>                     6. A15-004_S3_MERGED.fastq.g      1 ( 0.5%)                                                      #>                     7. A8-005_S4_MERGED.fastq.gz      1 ( 0.5%)                                                      #>                     8. A9-012_S5_MERGED.fastq.gz      1 ( 0.5%)                                                      #>                     9. AB29-ABMX-H_S6_MERGED.fas      1 ( 0.5%)                                                      #>                     10. AC27-013_S7_MERGED.fastq.     1 ( 0.5%)                                                      #>                     [ 175 others ]                  175 (94.6%)           IIIIIIIIIIIIIIIIII                         #>  #> 2    Sample_names   1. A10-005-B_S188                 1 ( 0.5%)                                 185        0         #>      [character]    2. A10-005-H_S189                 1 ( 0.5%)                                 (100.0%)   (0.0%)    #>                     3. A10-005-M_S190                 1 ( 0.5%)                                                      #>                     4. A12-007_S191                   1 ( 0.5%)                                                      #>                     5. A12-007-B_S2                   1 ( 0.5%)                                                      #>                     6. A15-004_S3                     1 ( 0.5%)                                                      #>                     7. A8-005_S4                      1 ( 0.5%)                                                      #>                     8. A9-012_S5                      1 ( 0.5%)                                                      #>                     9. AB29-ABMX-H_S6                 1 ( 0.5%)                                                      #>                     10. AC27-013_S7                   1 ( 0.5%)                                                      #>                     [ 175 others ]                  175 (94.6%)           IIIIIIIIIIIIIIIIII                         #>  #> 3    Tree_name      1. AD30-abm-X                     4 ( 2.2%)                                 185        0         #>      [character]    2. A10-005                        3 ( 1.6%)                                 (100.0%)   (0.0%)    #>                     3. AD26-005                       3 ( 1.6%)                                                      #>                     4. BB6-019                        3 ( 1.6%)                                                      #>                     5. BE9-006                        3 ( 1.6%)                                                      #>                     6. BG7-010                        3 ( 1.6%)                                                      #>                     7. BL7-006                        3 ( 1.6%)                                                      #>                     8. BP11-001                       3 ( 1.6%)                                                      #>                     9. BQ4-018                        3 ( 1.6%)                                                      #>                     10. BU11-002                      3 ( 1.6%)                                                      #>                     [ 102 others ]                  154 (83.2%)           IIIIIIIIIIIIIIII                           #>  #> 4    Sample_id      Mean (sd) : 96.5 (55.7)         185 distinct values   : : : . :   : : : :   185        0         #>      [integer]      min < med < max:                                      : : : : : : : : : :   (100.0%)   (0.0%)    #>                     2 < 96 < 191                                          : : : : : : : : : :                        #>                     IQR (CV) : 97 (0.6)                                   : : : : : : : : : :                        #>                                                                           : : : : : : : : : :                        #>  #> 5    Height         1. High                         41 (31.3%)            IIIIII                131        54        #>      [character]    2. Low                          45 (34.4%)            IIIIII                (70.8%)    (29.2%)   #>                     3. Middle                       45 (34.4%)            IIIIII                                     #>  #> 6    Diameter       1. 30                            13 ( 7.2%)           I                     180        5         #>      [character]    2. 25                             8 ( 4.4%)                                 (97.3%)    (2.7%)    #>                     3. -                              6 ( 3.3%)                                                      #>                     4. 34                             6 ( 3.3%)                                                      #>                     5. 32                             5 ( 2.8%)                                                      #>                     6. 40                             5 ( 2.8%)                                                      #>                     7. 52                             5 ( 2.8%)                                                      #>                     8. 21,5                           4 ( 2.2%)                                                      #>                     9. 33,3                           4 ( 2.2%)                                                      #>                     10. 33,5                          4 ( 2.2%)                                                      #>                     [ 67 others ]                   120 (66.7%)           IIIIIIIIIIIII                              #>  #> 7    Time           Mean (sd) : 5.8 (5.9)           0 : 67 (41.4%)        IIIIIIII              162        23        #>      [integer]      min < med < max:                5 : 38 (23.5%)        IIII                  (87.6%)    (12.4%)   #>                     0 < 5 < 15                      10 : 21 (13.0%)       II                                         #>                     IQR (CV) : 10 (1)               15 : 36 (22.2%)       IIII                                       #> -------------------------------------------------------------------------------------------------------------------- datawizard::data_codebook(sam_tab) #> sam_tab (185 rows and 7 variables, 7 shown) #>  #> ID | Name         | Type      |   Missings |                         Values |          N #> ---+--------------+-----------+------------+--------------------------------+----------- #> 1  | X            | character |   0 (0.0%) | A10-005-B_S188_MERGED.fastq.gz |  1 ( 0.5%) #>    |              |           |            | A10-005-H_S189_MERGED.fastq.gz |  1 ( 0.5%) #>    |              |           |            | A10-005-M_S190_MERGED.fastq.gz |  1 ( 0.5%) #>    |              |           |            |   A12-007_S191_MERGED.fastq.gz |  1 ( 0.5%) #>    |              |           |            |   A12-007-B_S2_MERGED.fastq.gz |  1 ( 0.5%) #>    |              |           |            |     A15-004_S3_MERGED.fastq.gz |  1 ( 0.5%) #>    |              |           |            |      A8-005_S4_MERGED.fastq.gz |  1 ( 0.5%) #>    |              |           |            |      A9-012_S5_MERGED.fastq.gz |  1 ( 0.5%) #>    |              |           |            | AB29-ABMX-H_S6_MERGED.fastq.gz |  1 ( 0.5%) #>    |              |           |            |    AC27-013_S7_MERGED.fastq.gz |  1 ( 0.5%) #>    |              |           |            |                          (...) |            #> ---+--------------+-----------+------------+--------------------------------+----------- #> 2  | Sample_names | character |   0 (0.0%) |                 A10-005-B_S188 |  1 ( 0.5%) #>    |              |           |            |                 A10-005-H_S189 |  1 ( 0.5%) #>    |              |           |            |                 A10-005-M_S190 |  1 ( 0.5%) #>    |              |           |            |                   A12-007_S191 |  1 ( 0.5%) #>    |              |           |            |                   A12-007-B_S2 |  1 ( 0.5%) #>    |              |           |            |                     A15-004_S3 |  1 ( 0.5%) #>    |              |           |            |                      A8-005_S4 |  1 ( 0.5%) #>    |              |           |            |                      A9-012_S5 |  1 ( 0.5%) #>    |              |           |            |                 AB29-ABMX-H_S6 |  1 ( 0.5%) #>    |              |           |            |                    AC27-013_S7 |  1 ( 0.5%) #>    |              |           |            |                          (...) |            #> ---+--------------+-----------+------------+--------------------------------+----------- #> 3  | Tree_name    | character |   0 (0.0%) |                        A10-005 |  3 ( 1.6%) #>    |              |           |            |                        A12-007 |  2 ( 1.1%) #>    |              |           |            |                        A15-004 |  1 ( 0.5%) #>    |              |           |            |                         A8-005 |  1 ( 0.5%) #>    |              |           |            |                         A9-012 |  1 ( 0.5%) #>    |              |           |            |                     AB29-abm-X |  1 ( 0.5%) #>    |              |           |            |                       AC27-013 |  1 ( 0.5%) #>    |              |           |            |                       AC29-033 |  1 ( 0.5%) #>    |              |           |            |                       AD26-005 |  3 ( 1.6%) #>    |              |           |            |                     AD30-abm-X |  4 ( 2.2%) #>    |              |           |            |                          (...) |            #> ---+--------------+-----------+------------+--------------------------------+----------- #> 4  | Sample_id    | integer   |   0 (0.0%) |                       [2, 191] |        185 #> ---+--------------+-----------+------------+--------------------------------+----------- #> 5  | Height       | character | 54 (29.2%) |                           High | 41 (31.3%) #>    |              |           |            |                            Low | 45 (34.4%) #>    |              |           |            |                         Middle | 45 (34.4%) #> ---+--------------+-----------+------------+--------------------------------+----------- #> 6  | Diameter     | character |   5 (2.7%) |                              - |  6 ( 3.3%) #>    |              |           |            |                             10 |  2 ( 1.1%) #>    |              |           |            |                             11 |  2 ( 1.1%) #>    |              |           |            |                          115,5 |  3 ( 1.7%) #>    |              |           |            |                           18,3 |  1 ( 0.6%) #>    |              |           |            |                           18,4 |  1 ( 0.6%) #>    |              |           |            |                           18,9 |  3 ( 1.7%) #>    |              |           |            |                             20 |  3 ( 1.7%) #>    |              |           |            |                           21,5 |  4 ( 2.2%) #>    |              |           |            |                             23 |  1 ( 0.6%) #>    |              |           |            |                          (...) |            #> ---+--------------+-----------+------------+--------------------------------+----------- #> 7  | Time         | integer   | 23 (12.4%) |                              0 | 67 (41.4%) #>    |              |           |            |                              5 | 38 (23.5%) #>    |              |           |            |                             10 | 21 (13.0%) #>    |              |           |            |                             15 | 36 (22.2%) #> ---------------------------------------------------------------------------------------- pillar::glimpse(sam_tab) #> Rows: 185 #> Warning in class(x) <- tibble_class: Setting class(x) to multiple strings #> (\"tbl_df\", \"tbl\", ...); result will no longer be an S4 object #> Columns: 7 #> $ X            <chr> \"A10-005-B_S188_MERGED.fastq.gz\", \"A10-005-H_S189_MERGED.… #> $ Sample_names <chr> \"A10-005-B_S188\", \"A10-005-H_S189\", \"A10-005-M_S190\", \"A1… #> $ Tree_name    <chr> \"A10-005\", \"A10-005\", \"A10-005\", \"A12-007\", \"A12-007\", \"A… #> $ Sample_id    <int> 188, 189, 190, 191, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 1… #> $ Height       <chr> \"Low\", \"High\", \"Middle\", NA, \"Low\", NA, NA, NA, \"High\", N… #> $ Diameter     <chr> \"52\", \"52\", \"52\", \"28,4\", \"28,4\", \"30,7\", \"32,8\", \"33,3\",… #> $ Time         <int> 15, 15, 15, 0, 0, 0, 0, 0, 5, 15, 15, 15, 15, 15, 5, NA, … pointblank::scan_data(sam_tab, sections = \"OVSCMI\") #> Warning in class(x) <- tibble_class: Setting class(x) to multiple strings #> (\"tbl_df\", \"tbl\", ...); result will no longer be an S4 object pointblank::create_informant(   tbl = sam_tab,   tbl_name = \"Sample data\",   label = \"data_fungi\" ) gtExtras::gt_plt_summary(sam_tab)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/explore_data.html","id":null,"dir":"Articles","previous_headings":"","what":"explore_data","title":"explore_data","text":"Overview Reproducibility Table Overview Columns Rows NAs Duplicate Rows Column Types Reproducibility Information Scan Build Time 2024-02-10 07:09:48 pointblank Version 0.11.4 R Version R version 4.3.2 (2023–10–31)Eye Holes Operating System x86_64-pc-linux-gnu","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/explore_data.html","id":null,"dir":"Articles","previous_headings":"","what":"explore_data","title":"explore_data","text":"X  character Distinct NAs Inf/-Inf Common Values String Lengths  Values (175) String Lengths Histogram Sample_names  character Distinct NAs Inf/-Inf Common Values String Lengths  Values (175) String Lengths Histogram Tree_name  character Distinct NAs Inf/-Inf Common Values String Lengths  Values (154) String Lengths Histogram Sample_id  integer Distinct NAs Inf/-Inf Mean Minimum Maximum Statistics Common Values Max/Min Slices Quantile Statistics Descriptive Statistics  Values (175) Maximum Values Minimum Values Height  character Distinct NAs Inf/-Inf Common Values String Lengths  Values (0) String Lengths Histogram Diameter  character Distinct NAs Inf/-Inf Common Values String Lengths  Values (124) String Lengths Histogram Time  integer Distinct NAs Inf/-Inf Mean Minimum Maximum Statistics Common Values Max/Min Slices Quantile Statistics Descriptive Statistics  Values (0) Maximum Values Minimum Values","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/explore_data.html","id":null,"dir":"Articles","previous_headings":"","what":"explore_data","title":"explore_data","text":"Pearson Kendall Spearman","code":""},{"path":[]},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/explore_data.html","id":"explore-taxonomic-data","dir":"Articles","previous_headings":"","what":"Explore taxonomic data","title":"explore_data","text":"Table scan generated pointblank. Domain  character  Phylum  character  Class  character  Order  character  Family  character  Genus  character  Species  character  Trophic.Mode  character  Guild  character  Trait  character  Confidence.Ranking  character  Genus_species  character","code":"tax_tab <- tibble::as_tibble(unclass(data_fungi@tax_table)) summarytools::dfSummary(tax_tab) #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display ''  #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display ''  #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display ''  #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display ''  #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display ''  #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display ''  #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display ''  #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display ''  #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display ''  #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display ''  #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display ''  #> Warning in png(png_loc <- tempfile(fileext = \".png\"), width = 150 * #> graph.magnif, : unable to open connection to X11 display '' #> Data Frame Summary   #> tax_tab   #> Dimensions: 1420 x 12   #> Duplicates: 976   #>  #> -------------------------------------------------------------------------------------------------------------------------- #> No   Variable             Stats / Values                  Freqs (% of Valid)   Graph                  Valid      Missing   #> ---- -------------------- ------------------------------- -------------------- ---------------------- ---------- --------- #> 1    Domain               1. Fungi                        1420 (100.0%)        IIIIIIIIIIIIIIIIIIII   1420       0         #>      [character]                                                                                      (100.0%)   (0.0%)    #>  #> 2    Phylum               1. Ascomycota                   1066 (75.1%)         IIIIIIIIIIIIIII        1420       0         #>      [character]          2. Basidiomycota                 345 (24.3%)         IIII                   (100.0%)   (0.0%)    #>                           3. Monoblepharomycota              1 ( 0.1%)                                                     #>                           4. Mortierellomycota               1 ( 0.1%)                                                     #>                           5. Mucoromycota                    3 ( 0.2%)                                                     #>                           6. Rozellomycota                   4 ( 0.3%)                                                     #>  #> 3    Class                1. Sordariomycetes              297 (22.4%)          IIII                   1327       93        #>      [character]          2. Agaricomycetes               245 (18.5%)          III                    (93.5%)    (6.5%)    #>                           3. Dothideomycetes              207 (15.6%)          III                                         #>                           4. Leotiomycetes                149 (11.2%)          II                                          #>                           5. Eurotiomycetes               121 ( 9.1%)          I                                           #>                           6. Lecanoromycetes              117 ( 8.8%)          I                                           #>                           7. Tremellomycetes               45 ( 3.4%)                                                      #>                           8. Saccharomycetes               42 ( 3.2%)                                                      #>                           9. Orbiliomycetes                30 ( 2.3%)                                                      #>                           10. Dacrymycetes                 24 ( 1.8%)                                                      #>                           [ 15 others ]                    50 ( 3.8%)                                                      #>  #> 4    Order                1. Pleosporales                 132 (10.7%)          II                     1231       189       #>      [character]          2. Helotiales                   126 (10.2%)          II                     (86.7%)    (13.3%)   #>                           3. Chaetothyriales               73 ( 5.9%)          I                                           #>                           4. Xylariales                    53 ( 4.3%)                                                      #>                           5. Capnodiales                   49 ( 4.0%)                                                      #>                           6. Russulales                    45 ( 3.7%)                                                      #>                           7. Agaricales                    43 ( 3.5%)                                                      #>                           8. Saccharomycetales             42 ( 3.4%)                                                      #>                           9. Hypocreales                   39 ( 3.2%)                                                      #>                           10. Coniochaetales               38 ( 3.1%)                                                      #>                           [ 63 others ]                   591 (48.0%)          IIIIIIIII                                   #>  #> 5    Family               1. Herpotrichiellaceae           64 ( 5.8%)          I                      1103       317       #>      [character]          2. Coniochaetaceae               38 ( 3.4%)                                 (77.7%)    (22.3%)   #>                           3. Stereaceae                    35 ( 3.2%)                                                      #>                           4. Aspergillaceae                34 ( 3.1%)                                                      #>                           5. Cucurbitariaceae              34 ( 3.1%)                                                      #>                           6. Helotiaceae                   30 ( 2.7%)                                                      #>                           7. Pleurotheciaceae              30 ( 2.7%)                                                      #>                           8. Orbiliaceae                   29 ( 2.6%)                                                      #>                           9. Xylariaceae                   29 ( 2.6%)                                                      #>                           10. Lecanoraceae                 28 ( 2.5%)                                                      #>                           [ 153 others ]                  752 (68.2%)          IIIIIIIIIIIII                               #>  #> 6    Genus                1. Coniochaeta                   38 ( 3.8%)                                 1010       410       #>      [character]          2. Penicillium                   31 ( 3.1%)                                 (71.1%)    (28.9%)   #>                           3. Neocucurbitaria               29 ( 2.9%)                                                      #>                           4. Orbilia                       22 ( 2.2%)                                                      #>                           5. Scytalidium                   22 ( 2.2%)                                                      #>                           6. Eutypa                        20 ( 2.0%)                                                      #>                           7. Scheffersomyces               20 ( 2.0%)                                                      #>                           8. Exophiala                     19 ( 1.9%)                                                      #>                           9. Pertusaria                    19 ( 1.9%)                                                      #>                           10. Phaeoisaria                  19 ( 1.9%)                                                      #>                           [ 242 others ]                  771 (76.3%)          IIIIIIIIIIIIIII                             #>  #> 7    Species              1. adglutinata                   15 ( 2.3%)                                 651        769       #>      [character]          2. spinosa                       15 ( 2.3%)                                 (45.8%)    (54.2%)   #>                           3. brevicompactum                14 ( 2.2%)                                                      #>                           4. stenosporus                   14 ( 2.2%)                                                      #>                           5. lignicola                     13 ( 2.0%)                                                      #>                           6. ostrea                        13 ( 2.0%)                                                      #>                           7. lignosus                      11 ( 1.7%)                                                      #>                           8. raduloides                    11 ( 1.7%)                                                      #>                           9. acerina                       10 ( 1.5%)                                                      #>                           10. leioplaca                     9 ( 1.4%)                                                      #>                           [ 253 others ]                  526 (80.8%)          IIIIIIIIIIIIIIII                            #>  #> 8    Trophic.Mode         1. -                            358 (25.2%)          IIIII                  1420       0         #>      [character]          2. Pathotroph                    82 ( 5.8%)          I                      (100.0%)   (0.0%)    #>                           3. Pathotroph-Saprotroph        137 ( 9.6%)          I                                           #>                           4. Pathotroph-Saprotroph-Sym    104 ( 7.3%)          I                                           #>                           5. Pathotroph-Symbiotroph        15 ( 1.1%)                                                      #>                           6. Saprotroph                   531 (37.4%)          IIIIIII                                     #>                           7. Saprotroph-Symbiotroph        47 ( 3.3%)                                                      #>                           8. Symbiotroph                  146 (10.3%)          II                                          #>  #> 9    Guild                1. -                            358 (25.2%)          IIIII                  1420       0         #>      [character]          2. Undefined Saprotroph         351 (24.7%)          IIII                   (100.0%)   (0.0%)    #>                           3. Wood Saprotroph              114 ( 8.0%)          I                                           #>                           4. Lichenized                    97 ( 6.8%)          I                                           #>                           5. Plant Pathogen                62 ( 4.4%)                                                      #>                           6. Plant Pathogen-Wood Sapro     39 ( 2.7%)                                                      #>                           7. Animal Pathogen-Dung Sapr     38 ( 2.7%)                                                      #>                           8. Undefined Saprotroph-Wood     31 ( 2.2%)                                                      #>                           9. Fungal Parasite-Undefined     28 ( 2.0%)                                                      #>                           10. Animal Pathogen-Undefined    27 ( 1.9%)                                                      #>                           [ 53 others ]                   275 (19.4%)          III                                         #>  #> 10   Trait                1. -                            358 (25.2%)          IIIII                  1420       0         #>      [character]          2. Brown Rot                     27 ( 1.9%)                                 (100.0%)   (0.0%)    #>                           3. Brown Rot-White Rot            6 ( 0.4%)                                                      #>                           4. Microfungus                    2 ( 0.1%)                                                      #>                           5. NULL                         840 (59.2%)          IIIIIIIIIII                                 #>                           6. Soft Rot                      76 ( 5.4%)          I                                           #>                           7. White Rot                    111 ( 7.8%)          I                                           #>  #> 11   Confidence.Ranking   1. -                            358 (25.2%)          IIIII                  1420       0         #>      [character]          2. Highly Probable              176 (12.4%)          II                     (100.0%)   (0.0%)    #>                           3. Possible                     233 (16.4%)          III                                         #>                           4. Probable                     653 (46.0%)          IIIIIIIII                                   #>  #> 12   Genus_species        1. NA_NA                        410 (28.9%)          IIIII                  1420       0         #>      [character]          2. Coniochaeta_NA                36 ( 2.5%)                                 (100.0%)   (0.0%)    #>                           3. Neocucurbitaria_NA            29 ( 2.0%)                                                      #>                           4. Lentomitella_NA               16 ( 1.1%)                                                      #>                           5. Penicillium_NA                16 ( 1.1%)                                                      #>                           6. Eutypa_spinosa                15 ( 1.1%)                                                      #>                           7. Hyperphyscia_adglutinata      15 ( 1.1%)                                                      #>                           8. Dacrymyces_stenosporus        14 ( 1.0%)                                                      #>                           9. Penicillium_brevicompactu     14 ( 1.0%)                                                      #>                           10. Exophiala_NA                 13 ( 0.9%)                                                      #>                           [ 364 others ]                  842 (59.3%)          IIIIIIIIIII                                 #> -------------------------------------------------------------------------------------------------------------------------- datawizard::data_codebook(tax_tab) #> tax_tab (1420 rows and 12 variables, 12 shown) #>  #> ID | Name               | Type      |    Missings |                                                                                        Values |             N #> ---+--------------------+-----------+-------------+-----------------------------------------------------------------------------------------------+-------------- #> 1  | Domain             | character |    0 (0.0%) |                                                                                         Fungi | 1420 (100.0%) #> ---+--------------------+-----------+-------------+-----------------------------------------------------------------------------------------------+-------------- #> 2  | Phylum             | character |    0 (0.0%) |                                                                                    Ascomycota | 1066 ( 75.1%) #>    |                    |           |             |                                                                                 Basidiomycota |  345 ( 24.3%) #>    |                    |           |             |                                                                            Monoblepharomycota |    1 (  0.1%) #>    |                    |           |             |                                                                             Mortierellomycota |    1 (  0.1%) #>    |                    |           |             |                                                                                  Mucoromycota |    3 (  0.2%) #>    |                    |           |             |                                                                                 Rozellomycota |    4 (  0.3%) #> ---+--------------------+-----------+-------------+-----------------------------------------------------------------------------------------------+-------------- #> 3  | Class              | character |   93 (6.5%) |                                                                                Agaricomycetes |  245 ( 18.5%) #>    |                    |           |             |                                                                          Agaricostilbomycetes |    5 (  0.4%) #>    |                    |           |             |                                                                               Arthoniomycetes |    5 (  0.4%) #>    |                    |           |             |                                                                            Atractiellomycetes |    6 (  0.5%) #>    |                    |           |             |                                                                           Cystobasidiomycetes |    5 (  0.4%) #>    |                    |           |             |                                                                                  Dacrymycetes |   24 (  1.8%) #>    |                    |           |             |                                                                               Dothideomycetes |  207 ( 15.6%) #>    |                    |           |             |                                                                                Eurotiomycetes |  121 (  9.1%) #>    |                    |           |             |                                                                               Lecanoromycetes |  117 (  8.8%) #>    |                    |           |             |                                                                                 Leotiomycetes |  149 ( 11.2%) #>    |                    |           |             |                                                                                         (...) |               #> ---+--------------------+-----------+-------------+-----------------------------------------------------------------------------------------------+-------------- #> 4  | Order              | character | 189 (13.3%) |                                                                                    Agaricales |   43 (  3.5%) #>    |                    |           |             |                                                                              Agaricostilbales |    5 (  0.4%) #>    |                    |           |             |                                                                                Annulatascales |    2 (  0.2%) #>    |                    |           |             |                                                                                   Arthoniales |    3 (  0.2%) #>    |                    |           |             |                                                                                Atractiellales |    6 (  0.5%) #>    |                    |           |             |                                                                                Auriculariales |   31 (  2.5%) #>    |                    |           |             |                                                                             Botryosphaeriales |    5 (  0.4%) #>    |                    |           |             |                                                                                    Caliciales |   25 (  2.0%) #>    |                    |           |             |                                                                               Calosphaeriales |    2 (  0.2%) #>    |                    |           |             |                                                                                 Candelariales |    7 (  0.6%) #>    |                    |           |             |                                                                                         (...) |               #> ---+--------------------+-----------+-------------+-----------------------------------------------------------------------------------------------+-------------- #> 5  | Family             | character | 317 (22.3%) |                                                                 Agaricales_fam_Incertae_sedis |    2 (  0.2%) #>    |                    |           |             |                                                                                   Amanitaceae |    1 (  0.1%) #>    |                    |           |             |                                                                                  Amorosiaceae |   15 (  1.4%) #>    |                    |           |             |                                                                               Annulatascaceae |    2 (  0.2%) #>    |                    |           |             |                                                                                   Aporpiaceae |    1 (  0.1%) #>    |                    |           |             |                                                                                  Ascobolaceae |    1 (  0.1%) #>    |                    |           |             |                                                                                Aspergillaceae |   34 (  3.1%) #>    |                    |           |             |                                                             Atractiellales_fam_Incertae_sedis |    6 (  0.5%) #>    |                    |           |             |                                                                              Aureobasidiaceae |    1 (  0.1%) #>    |                    |           |             |                                                                               Auriculariaceae |    4 (  0.4%) #>    |                    |           |             |                                                                                         (...) |               #> ---+--------------------+-----------+-------------+-----------------------------------------------------------------------------------------------+-------------- #> 6  | Genus              | character | 410 (28.9%) |                                                                                       Absidia |    1 (  0.1%) #>    |                    |           |             |                                                                                 Acanthostigma |    2 (  0.2%) #>    |                    |           |             |                                                                                     Acericola |    3 (  0.3%) #>    |                    |           |             |                                                                           Achroceratosphaeria |    1 (  0.1%) #>    |                    |           |             |                                                                                    Acremonium |    1 (  0.1%) #>    |                    |           |             |                                                                                    Alatospora |    1 (  0.1%) #>    |                    |           |             |                                                                                    Alternaria |    3 (  0.3%) #>    |                    |           |             |                                                                                     Amandinea |    1 (  0.1%) #>    |                    |           |             |                                                                                       Amanita |    1 (  0.1%) #>    |                    |           |             |                                                                                     Amaurodon |    1 (  0.1%) #>    |                    |           |             |                                                                                         (...) |               #> ---+--------------------+-----------+-------------+-----------------------------------------------------------------------------------------------+-------------- #> 7  | Species            | character | 769 (54.2%) |                                                                                      abramsii |    1 (  0.2%) #>    |                    |           |             |                                                                                       acerina |   10 (  1.5%) #>    |                    |           |             |                                                                                     acuminata |    1 (  0.2%) #>    |                    |           |             |                                                                                     acutiseta |    1 (  0.2%) #>    |                    |           |             |                                                                                   adglutinata |   15 (  2.3%) #>    |                    |           |             |                                                                                 aeruginascens |    2 (  0.3%) #>    |                    |           |             |                                                                                       agelaea |    6 (  0.9%) #>    |                    |           |             |                                                                                        albida |    1 (  0.2%) #>    |                    |           |             |                                                                                   albohyalina |    3 (  0.5%) #>    |                    |           |             |                                                                                         album |    4 (  0.6%) #>    |                    |           |             |                                                                                         (...) |               #> ---+--------------------+-----------+-------------+-----------------------------------------------------------------------------------------------+-------------- #> 8  | Trophic.Mode       | character |    0 (0.0%) |                                                                                             - |  358 ( 25.2%) #>    |                    |           |             |                                                                                    Pathotroph |   82 (  5.8%) #>    |                    |           |             |                                                                         Pathotroph-Saprotroph |  137 (  9.6%) #>    |                    |           |             |                                                             Pathotroph-Saprotroph-Symbiotroph |  104 (  7.3%) #>    |                    |           |             |                                                                        Pathotroph-Symbiotroph |   15 (  1.1%) #>    |                    |           |             |                                                                                    Saprotroph |  531 ( 37.4%) #>    |                    |           |             |                                                                        Saprotroph-Symbiotroph |   47 (  3.3%) #>    |                    |           |             |                                                                                   Symbiotroph |  146 ( 10.3%) #> ---+--------------------+-----------+-------------+-----------------------------------------------------------------------------------------------+-------------- #> 9  | Guild              | character |    0 (0.0%) |                                                                                             - |  358 ( 25.2%) #>    |                    |           |             |                                                                           Animal Endosymbiont |    7 (  0.5%) #>    |                    |           |             |                                                      Animal Endosymbiont-Undefined Saprotroph |    1 (  0.1%) #>    |                    |           |             |                                                                               Animal Pathogen |    2 (  0.1%) #>    |                    |           |             |           Animal Pathogen-Dung Saprotroph-Endophyte-Epiphyte-Plant Saprotroph-Wood Saprotroph |    1 (  0.1%) #>    |                    |           |             | Animal Pathogen-Dung Saprotroph-Endophyte-Lichen Parasite-Plant Pathogen-Undefined Saprotroph |   38 (  2.7%) #>    |                    |           |             |                        Animal Pathogen-Endophyte-Epiphyte-Plant Pathogen-Undefined Saprotroph |    1 (  0.1%) #>    |                    |           |             |                  Animal Pathogen-Endophyte-Ericoid Mycorrhizal-Plant Pathogen-Wood Saprotroph |    1 (  0.1%) #>    |                    |           |             |                      Animal Pathogen-Endophyte-Fungal Parasite-Plant Pathogen-Wood Saprotroph |    1 (  0.1%) #>    |                    |           |             |                      Animal Pathogen-Endophyte-Lichen Parasite-Plant Pathogen-Wood Saprotroph |   19 (  1.3%) #>    |                    |           |             |                                                                                         (...) |               #> ---+--------------------+-----------+-------------+-----------------------------------------------------------------------------------------------+-------------- #> 10 | Trait              | character |    0 (0.0%) |                                                                                             - |  358 ( 25.2%) #>    |                    |           |             |                                                                                     Brown Rot |   27 (  1.9%) #>    |                    |           |             |                                                                           Brown Rot-White Rot |    6 (  0.4%) #>    |                    |           |             |                                                                                   Microfungus |    2 (  0.1%) #>    |                    |           |             |                                                                                          NULL |  840 ( 59.2%) #>    |                    |           |             |                                                                                      Soft Rot |   76 (  5.4%) #>    |                    |           |             |                                                                                     White Rot |  111 (  7.8%) #> ---+--------------------+-----------+-------------+-----------------------------------------------------------------------------------------------+-------------- #> 11 | Confidence.Ranking | character |    0 (0.0%) |                                                                                             - |  358 ( 25.2%) #>    |                    |           |             |                                                                               Highly Probable |  176 ( 12.4%) #>    |                    |           |             |                                                                                      Possible |  233 ( 16.4%) #>    |                    |           |             |                                                                                      Probable |  653 ( 46.0%) #> ---+--------------------+-----------+-------------+-----------------------------------------------------------------------------------------------+-------------- #> 12 | Genus_species      | character |    0 (0.0%) |                                                                                Absidia_glauca |    1 (  0.1%) #>    |                    |           |             |                                                                     Acanthostigma_perpusillum |    2 (  0.1%) #>    |                    |           |             |                                                                             Acericola_italica |    3 (  0.2%) #>    |                    |           |             |                                                                   Achroceratosphaeria_potamia |    1 (  0.1%) #>    |                    |           |             |                                                                        Acremonium_hennebertii |    1 (  0.1%) #>    |                    |           |             |                                                                                 Alatospora_NA |    1 (  0.1%) #>    |                    |           |             |                                                                     Alternaria_metachromatica |    1 (  0.1%) #>    |                    |           |             |                                                                                 Alternaria_NA |    2 (  0.1%) #>    |                    |           |             |                                                                            Amandinea_punctata |    1 (  0.1%) #>    |                    |           |             |                                                                              Amanita_sepiacea |    1 (  0.1%) #>    |                    |           |             |                                                                                         (...) |               #> ----------------------------------------------------------------------------------------------------------------------------------------------------------------- pillar::glimpse(tax_tab) #> Rows: 1,420 #> Columns: 12 #> $ Domain             <chr> \"Fungi\", \"Fungi\", \"Fungi\", \"Fungi\", \"Fungi\", \"Fungi… #> $ Phylum             <chr> \"Ascomycota\", \"Ascomycota\", \"Basidiomycota\", \"Basid… #> $ Class              <chr> \"Sordariomycetes\", \"Sordariomycetes\", \"Agaricomycet… #> $ Order              <chr> \"Xylariales\", \"Xylariales\", \"Russulales\", \"Russulal… #> $ Family             <chr> \"Diatrypaceae\", \"Xylariaceae\", \"Stereaceae\", \"Stere… #> $ Genus              <chr> \"Eutypa\", \"Xylaria\", NA, \"Stereum\", NA, \"Xylodon\", … #> $ Species            <chr> \"spinosa\", NA, NA, \"ostrea\", NA, \"raduloides\", NA, … #> $ Trophic.Mode       <chr> \"Pathotroph\", \"Saprotroph-Symbiotroph\", \"Saprotroph… #> $ Guild              <chr> \"Plant Pathogen\", \"Endophyte-Undefined Saprotroph-W… #> $ Trait              <chr> \"NULL\", \"Soft Rot\", \"NULL\", \"White Rot\", \"-\", \"Whit… #> $ Confidence.Ranking <chr> \"Probable\", \"Probable\", \"Probable\", \"Probable\", \"-\"… #> $ Genus_species      <chr> \"Eutypa_spinosa\", \"Xylaria_NA\", \"NA_NA\", \"Stereum_o… pointblank::scan_data(tax_tab, sections = \"OVSCM\") pointblank::create_informant(   tbl = tax_tab,   tbl_name = \"Taxonomic table\",   label = \"data_fungi\" ) gtExtras::gt_plt_summary(tax_tab) fungi_order <- tax_glom(data_fungi, taxrank = \"Order\") taxa_names(fungi_order) <- fungi_order@tax_table[, \"Order\"] heatmap(fungi_order@otu_table)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/explore_data.html","id":null,"dir":"Articles","previous_headings":"","what":"explore_data","title":"explore_data","text":"Overview Reproducibility Table Overview Columns Rows NAs Duplicate Rows Column Types Reproducibility Information Scan Build Time 2024-02-10 07:09:57 pointblank Version 0.11.4 R Version R version 4.3.2 (2023–10–31)Eye Holes Operating System x86_64-pc-linux-gnu","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/explore_data.html","id":null,"dir":"Articles","previous_headings":"","what":"explore_data","title":"explore_data","text":"Domain  character Distinct NAs Inf/-Inf Common Values String Lengths  Values (0) String Lengths Histogram Phylum  character Distinct NAs Inf/-Inf Common Values String Lengths  Values (0) String Lengths Histogram Class  character Distinct NAs Inf/-Inf Common Values String Lengths  Values (74) String Lengths Histogram Order  character Distinct NAs Inf/-Inf Common Values String Lengths  Values (629) String Lengths Histogram Family  character Distinct NAs Inf/-Inf Common Values String Lengths  Values (780) String Lengths Histogram Genus  character Distinct NAs Inf/-Inf Common Values String Lengths  Values (790) String Lengths Histogram Species  character Distinct NAs Inf/-Inf Common Values String Lengths  Values (535) String Lengths Histogram Trophic.Mode  character Distinct NAs Inf/-Inf Common Values String Lengths  Values (0) String Lengths Histogram Guild  character Distinct NAs Inf/-Inf Common Values String Lengths  Values (275) String Lengths Histogram Trait  character Distinct NAs Inf/-Inf Common Values String Lengths  Values (0) String Lengths Histogram Confidence.Ranking  character Distinct NAs Inf/-Inf Common Values String Lengths  Values (0) String Lengths Histogram Genus_species  character Distinct NAs Inf/-Inf Common Values String Lengths  Values (842) String Lengths Histogram","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/explore_data.html","id":null,"dir":"Articles","previous_headings":"","what":"explore_data","title":"explore_data","text":"Pearson Kendall Spearman","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/explore_data.html","id":"session-information","dir":"Articles","previous_headings":"","what":"Session information","title":"explore_data","text":"","code":"sessionInfo() #> R version 4.3.2 (2023-10-31) #> Platform: x86_64-pc-linux-gnu (64-bit) #> Running under: Ubuntu 22.04.3 LTS #>  #> Matrix products: default #> BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3  #> LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so;  LAPACK version 3.10.0 #>  #> locale: #>  [1] LC_CTYPE=C.UTF-8       LC_NUMERIC=C           LC_TIME=C.UTF-8        #>  [4] LC_COLLATE=C.UTF-8     LC_MONETARY=C.UTF-8    LC_MESSAGES=C.UTF-8    #>  [7] LC_PAPER=C.UTF-8       LC_NAME=C              LC_ADDRESS=C           #> [10] LC_TELEPHONE=C         LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C    #>  #> time zone: UTC #> tzcode source: system (glibc) #>  #> attached base packages: #> [1] stats     graphics  grDevices utils     datasets  methods   base      #>  #> other attached packages: #> [1] MiscMetabar_0.7.5 dplyr_1.1.4       dada2_1.30.0      Rcpp_1.0.12       #> [5] ggplot2_3.4.4     phyloseq_1.46.0   #>  #> loaded via a namespace (and not attached): #>   [1] RColorBrewer_1.1-3          gtExtras_0.5.0              #>   [3] jsonlite_1.8.8              datawizard_0.9.1            #>   [5] magrittr_2.0.3              magick_2.8.2                #>   [7] farver_2.1.1                rmarkdown_2.25              #>   [9] fs_1.6.3                    zlibbioc_1.48.0             #>  [11] ragg_1.2.7                  vctrs_0.6.5                 #>  [13] multtest_2.58.0             memoise_2.0.1               #>  [15] Rsamtools_2.18.0            paletteer_1.6.0             #>  [17] RCurl_1.98-1.14             base64enc_0.1-3             #>  [19] htmltools_0.5.7             S4Arrays_1.2.0              #>  [21] Rhdf5lib_1.24.2             SparseArray_1.2.3           #>  [23] rhdf5_2.46.1                sass_0.4.8                  #>  [25] bslib_0.6.1                 fontawesome_0.5.2           #>  [27] desc_1.4.3                  plyr_1.8.9                  #>  [29] lubridate_1.9.3             cachem_1.0.8                #>  [31] gt_0.10.1                   commonmark_1.9.1            #>  [33] GenomicAlignments_1.38.2    igraph_2.0.1.1              #>  [35] lifecycle_1.0.4             iterators_1.0.14            #>  [37] pkgconfig_2.0.3             Matrix_1.6-1.1              #>  [39] R6_2.5.1                    fastmap_1.1.1               #>  [41] GenomeInfoDbData_1.2.11     MatrixGenerics_1.14.0       #>  [43] digest_0.6.34               colorspace_2.1-0            #>  [45] rematch2_2.1.2              ShortRead_1.60.0            #>  [47] S4Vectors_0.40.2            textshaping_0.3.7           #>  [49] GenomicRanges_1.54.1        hwriter_1.3.2.1             #>  [51] vegan_2.6-4                 labeling_0.4.3              #>  [53] fansi_1.0.6                 timechange_0.3.0            #>  [55] polyclip_1.10-6             abind_1.4-5                 #>  [57] mgcv_1.9-0                  compiler_4.3.2              #>  [59] withr_3.0.0                 pander_0.6.5                #>  [61] backports_1.4.1             BiocParallel_1.36.0         #>  [63] highr_0.10                  ggforce_0.4.1               #>  [65] MASS_7.3-60                 DelayedArray_0.28.0         #>  [67] biomformat_1.30.0           permute_0.9-7               #>  [69] tools_4.3.2                 ape_5.7-1                   #>  [71] glue_1.7.0                  nlme_3.1-163                #>  [73] rhdf5filters_1.14.1         grid_4.3.2                  #>  [75] checkmate_2.3.1             cluster_2.1.4               #>  [77] reshape2_1.4.4              ade4_1.7-22                 #>  [79] generics_0.1.3              isoband_0.2.7               #>  [81] gtable_0.3.4                tzdb_0.4.0                  #>  [83] tidyr_1.3.1                 hms_1.1.3                   #>  [85] data.table_1.15.0           xml2_1.3.6                  #>  [87] utf8_1.2.4                  XVector_0.42.0              #>  [89] BiocGenerics_0.48.1         markdown_1.12               #>  [91] foreach_1.5.2               pillar_1.9.0                #>  [93] stringr_1.5.1               splines_4.3.2               #>  [95] tweenr_2.0.2                pryr_0.1.6                  #>  [97] lattice_0.21-9              survival_3.5-7              #>  [99] deldir_2.0-2                tidyselect_1.2.0            #> [101] Biostrings_2.70.2           knitr_1.45                  #> [103] IRanges_2.36.0              SummarizedExperiment_1.32.0 #> [105] svglite_2.1.3               stats4_4.3.2                #> [107] xfun_0.41                   Biobase_2.62.0              #> [109] rapportools_1.1             matrixStats_1.2.0           #> [111] stringi_1.8.3               yaml_2.3.8                  #> [113] evaluate_0.23               codetools_0.2-19            #> [115] interp_1.1-6                tcltk_4.3.2                 #> [117] tibble_3.2.1                cli_3.6.2                   #> [119] blastula_0.3.4              RcppParallel_5.1.7          #> [121] systemfonts_1.0.5           munsell_0.5.0               #> [123] jquerylib_0.1.4             GenomeInfoDb_1.38.6         #> [125] pointblank_0.11.4           summarytools_1.0.1          #> [127] png_0.1-8                   parallel_4.3.2              #> [129] readr_2.1.5                 pkgdown_2.0.7               #> [131] latticeExtra_0.6-30         jpeg_0.1-10                 #> [133] bitops_1.0-7                scales_1.3.0                #> [135] insight_0.19.8              purrr_1.0.2                 #> [137] crayon_1.5.2                rlang_1.1.3"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/filter.html","id":"filter-samples","dir":"Articles","previous_headings":"","what":"Filter samples","title":"Filter","text":"Phyloseq package already propose function select samples (subset_samples()), case, subset internal function painful. MiscMetabar propose complementary function ([subset_samples_pq()]) versatile need used caution order condition must match orders samples.","code":"data(data_fungi) cond_samp <- grepl(\"A1\", data_fungi@sam_data[[\"Sample_names\"]]) subset_samples_pq(data_fungi, cond_samp) #> phyloseq-class experiment-level object #> otu_table()   OTU Table:         [ 1420 taxa and 9 samples ] #> sample_data() Sample Data:       [ 9 samples by 7 sample variables ] #> tax_table()   Taxonomy Table:    [ 1420 taxa by 12 taxonomic ranks ] #> refseq()      DNAStringSet:      [ 1420 reference sequences ]"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/filter.html","id":"filter-taxa-using-conditions","dir":"Articles","previous_headings":"Filter Taxa","what":"Filter taxa using condition(s)","title":"Filter","text":"Phyloseq package already propose function select samples (subset_taxa()), case, subset internal function painful. MiscMetabar propose complementary function ([subset_taxa_pq()]) versatile based names taxa match condition taxa phyloseq object. example code , filter fungi Phylum “Basidiomycota” using phyloseq::subset_taxa() select taxa 1000 nb_sequences using subset_taxa_pq().","code":"df_basidio <- subset_taxa(data_fungi, Phylum == \"Basidiomycota\") df_basidio_abundant <- subset_taxa_pq(   df_basidio,   colSums(df_basidio@otu_table) > 1000 )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/filter.html","id":"filter-taxa-using-blast-score-against-a-database","dir":"Articles","previous_headings":"Filter Taxa","what":"Filter taxa using blast score against a database","title":"Filter","text":"cases, want select given clade taxon. One solution select taxa information given taxonomic assignment (e.g. using function dada2::assignTaxonomy()). However, cases, information lead false positive false negative selection. MiscMetabar implement method relying blast software (Altschul et al. 1990 & 1997) database. idea set cutoff four parameters select taxa close enough sequences database : id_filter (default: 90) cut identity percent keep result. bit_score_filter (default: 50) cut bit score keep result. higher bit-score, better sequence similarity. bit-score requires size sequence database current match found just chance. bit-score log2 scaled normalized raw-score. increase one doubles required database size (2bit-score). min_cover_filter (default: 50) cut query cover (%) keep result. e_value_filter (default: 1e-30) cut e-value (%) keep result. BLAST E-value number expected hits similar quality (score) found just chance.","code":"path_db <- system.file(\"extdata\",   \"100_sp_UNITE_sh_general_release_dynamic.fasta\",   package = \"MiscMetabar\", mustWork = TRUE )  suppressWarnings(blast_error_or_not <-   try(system(\"blastn 2>&1\", intern = TRUE), silent = TRUE))  if (!is(blast_error_or_not, \"try-error\")) {   df_blast_80 <- filter_asv_blast(df_basidio, fasta_for_db = path_db)   df_blast_50 <- filter_asv_blast(df_basidio,     fasta_for_db = path_db,     id_filter = 50, e_value_filter = 10,     bit_score_filter = 20, min_cover_filter = 20   )    track_formattable <-     track_wkflow(       list(         \"raw data\" = df_basidio,         \"id_filter = 80\" = df_blast_80,         \"id_filter = 50\" = df_blast_50       )     ) } if (!is(blast_error_or_not, \"try-error\")) {   formattable(     track_formattable,     list(       area(col = nb_sequences) ~ color_bar(\"cyan\", na.rm = TRUE),       area(col = nb_clusters) ~ normalize_bar(\"yellowgreen\",         na.rm = TRUE, min = 0.3       ),       area(col = nb_samples) ~ normalize_bar(\"lightpink\",         na.rm = TRUE, min = 0.3       )     )   ) }"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/filter.html","id":"filter-taxa-using-a-known-taxa-for-control","dir":"Articles","previous_headings":"Filter Taxa","what":"Filter taxa using a known taxa for control","title":"Filter","text":"filter contamination, one solution add proportion known taxa present environment study. case can define threshold sample discard taxon based pseudo-abundance. example code , select taxon using ASV_50 control 6 different algorithms.","code":"res_seq <-   suppressWarnings(     subset_taxa_tax_control(data_fungi, as.numeric(data_fungi@otu_table[, 50]),       method = \"cutoff_seq\"     )   ) res_mixt <-   suppressWarnings(     subset_taxa_tax_control(data_fungi, as.numeric(data_fungi@otu_table[, 50]),       method = \"cutoff_mixt\"     )   ) res_diff <- suppressWarnings(   subset_taxa_tax_control(     data_fungi,     as.numeric(data_fungi@otu_table[, 50]),     method = \"cutoff_diff\",     min_diff_for_cutoff = 2   ) ) res_min <-   suppressWarnings(     subset_taxa_tax_control(       data_fungi,       as.numeric(data_fungi@otu_table[, 50]),       method = \"min\",       min_diff_for_cutoff = 2     )   ) res_max <-   suppressWarnings(     subset_taxa_tax_control(       data_fungi,       as.numeric(data_fungi@otu_table[, 50]),       method = \"max\",       min_diff_for_cutoff = 2     )   ) res_mean <-   suppressWarnings(     subset_taxa_tax_control(       data_fungi,       as.numeric(data_fungi@otu_table[, 50]),       method = \"mean\",       min_diff_for_cutoff = 2     )   ) track_formattable <- track_wkflow(list(   \"raw data\" = data_fungi,   \"cutoff_seq\" = res_seq,   \"cutoff_mixt\" = res_mixt,   \"cutoff_diff\" = res_diff,   \"min\" = res_min,   \"max\" = res_max,   \"mean\" = res_mean ))  formattable(   track_formattable,   list(     area(col = nb_sequences) ~ color_bar(\"cyan\"),     area(col = nb_clusters) ~ normalize_bar(\"yellowgreen\",       na.rm = TRUE,       min = 0.3     ),     area(col = nb_samples) ~ normalize_bar(\"lightpink\", na.rm = TRUE)   ) )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/filter.html","id":"session-information","dir":"Articles","previous_headings":"","what":"Session information","title":"Filter","text":"","code":"sessionInfo() #> R version 4.3.2 (2023-10-31) #> Platform: x86_64-pc-linux-gnu (64-bit) #> Running under: Ubuntu 22.04.3 LTS #>  #> Matrix products: default #> BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3  #> LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so;  LAPACK version 3.10.0 #>  #> locale: #>  [1] LC_CTYPE=C.UTF-8       LC_NUMERIC=C           LC_TIME=C.UTF-8        #>  [4] LC_COLLATE=C.UTF-8     LC_MONETARY=C.UTF-8    LC_MESSAGES=C.UTF-8    #>  [7] LC_PAPER=C.UTF-8       LC_NAME=C              LC_ADDRESS=C           #> [10] LC_TELEPHONE=C         LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C    #>  #> time zone: UTC #> tzcode source: system (glibc) #>  #> attached base packages: #> [1] stats     graphics  grDevices utils     datasets  methods   base      #>  #> other attached packages: #> [1] formattable_0.2.1 MiscMetabar_0.7.5 dplyr_1.1.4       dada2_1.30.0      #> [5] Rcpp_1.0.12       ggplot2_3.4.4     phyloseq_1.46.0   #>  #> loaded via a namespace (and not attached): #>   [1] bitops_1.0-7                pbapply_1.7-2               #>   [3] deldir_2.0-2                permute_0.9-7               #>   [5] rlang_1.1.3                 magrittr_2.0.3              #>   [7] ade4_1.7-22                 matrixStats_1.2.0           #>   [9] compiler_4.3.2              mgcv_1.9-0                  #>  [11] png_0.1-8                   systemfonts_1.0.5           #>  [13] vctrs_0.6.5                 reshape2_1.4.4              #>  [15] stringr_1.5.1               pkgconfig_2.0.3             #>  [17] crayon_1.5.2                fastmap_1.1.1               #>  [19] XVector_0.42.0              utf8_1.2.4                  #>  [21] Rsamtools_2.18.0            rmarkdown_2.25              #>  [23] ragg_1.2.7                  purrr_1.0.2                 #>  [25] xfun_0.41                   zlibbioc_1.48.0             #>  [27] cachem_1.0.8                GenomeInfoDb_1.38.6         #>  [29] jsonlite_1.8.8              biomformat_1.30.0           #>  [31] rhdf5filters_1.14.1         DelayedArray_0.28.0         #>  [33] Rhdf5lib_1.24.2             BiocParallel_1.36.0         #>  [35] jpeg_0.1-10                 parallel_4.3.2              #>  [37] cluster_2.1.4               R6_2.5.1                    #>  [39] bslib_0.6.1                 stringi_1.8.3               #>  [41] RColorBrewer_1.1-3          GenomicRanges_1.54.1        #>  [43] jquerylib_0.1.4             SummarizedExperiment_1.32.0 #>  [45] iterators_1.0.14            knitr_1.45                  #>  [47] mixtools_2.0.0              IRanges_2.36.0              #>  [49] Matrix_1.6-1.1              splines_4.3.2               #>  [51] igraph_2.0.1.1              tidyselect_1.2.0            #>  [53] abind_1.4-5                 yaml_2.3.8                  #>  [55] vegan_2.6-4                 codetools_0.2-19            #>  [57] hwriter_1.3.2.1             lattice_0.21-9              #>  [59] tibble_3.2.1                plyr_1.8.9                  #>  [61] Biobase_2.62.0              withr_3.0.0                 #>  [63] ShortRead_1.60.0            evaluate_0.23               #>  [65] desc_1.4.3                  survival_3.5-7              #>  [67] RcppParallel_5.1.7          kernlab_0.9-32              #>  [69] Biostrings_2.70.2           pillar_1.9.0                #>  [71] MatrixGenerics_1.14.0       foreach_1.5.2               #>  [73] stats4_4.3.2                plotly_4.10.4               #>  [75] generics_0.1.3              RCurl_1.98-1.14             #>  [77] S4Vectors_0.40.2            munsell_0.5.0               #>  [79] scales_1.3.0                glue_1.7.0                  #>  [81] lazyeval_0.2.2              tools_4.3.2                 #>  [83] interp_1.1-6                data.table_1.15.0           #>  [85] GenomicAlignments_1.38.2    fs_1.6.3                    #>  [87] rhdf5_2.46.1                grid_4.3.2                  #>  [89] tidyr_1.3.1                 ape_5.7-1                   #>  [91] latticeExtra_0.6-30         colorspace_2.1-0            #>  [93] nlme_3.1-163                GenomeInfoDbData_1.2.11     #>  [95] cli_3.6.2                   textshaping_0.3.7           #>  [97] fansi_1.0.6                 segmented_2.0-2             #>  [99] viridisLite_0.4.2           S4Arrays_1.2.0              #> [101] gtable_0.3.4                sass_0.4.8                  #> [103] digest_0.6.34               BiocGenerics_0.48.1         #> [105] SparseArray_1.2.3           htmlwidgets_1.6.4           #> [107] memoise_2.0.1               htmltools_0.5.7             #> [109] pkgdown_2.0.7               multtest_2.58.0             #> [111] lifecycle_1.0.4             httr_1.4.7                  #> [113] MASS_7.3-60"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/import_export_track.html","id":"export-phyloseq-object","dir":"Articles","previous_headings":"","what":"Export phyloseq object","title":"import_export_track","text":"can export phyloseq object csv (txt phylogenetic tree) files folder. possible export table one file merge slot (except phytree) one file (args one_file = TRUE). Finally, rdata set TRUE, rdata file containing phyloseq object also writed. Finally, can use function save_pq() write phyloseq object 3 versions (one table slot, file merging slot Rdata file).","code":"write_pq(data_fungi, path = \"fungi_phyloseq\") write_pq(data_fungi, path = \"fungi_phyloseq\", one_file = TRUE) write_pq(data_fungi, path = \"fungi_phyloseq\", rdata = TRUE) save_pq(data_fungi)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/import_export_track.html","id":"import","dir":"Articles","previous_headings":"","what":"Import","title":"import_export_track","text":"import Rdata file, just use load() base function. order import phyloseq object folder create using write_pq() save_pq(), please use function read_pq().","code":"d <- read_pq(path = \"fungi_phyloseq\")"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/import_export_track.html","id":"tracking-sequences-clusters-and-samples","dir":"Articles","previous_headings":"","what":"Tracking sequences, clusters and samples","title":"import_export_track","text":"bioinformatic pipeline, often need track number samples, sequences clusters across step pipeline. MiscMetabar propose two utilities achieve goal : track_wkflow() version compute value per samples : track_wkflow_samples(). function track_wkflow() can deal () fastq fastg.gz files, dada-class object, derep-class object, matrix samples x clusters (e.g. otu_table) phyloseq-class object.","code":"track_wkflow(list(data_fungi, data_fungi_sp_known)) #>   nb_sequences nb_clusters nb_samples #> 1      1839124        1420        185 #> 2      1106581         651        185"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/import_export_track.html","id":"session-information","dir":"Articles","previous_headings":"","what":"Session information","title":"import_export_track","text":"","code":"sessionInfo() #> R version 4.3.2 (2023-10-31) #> Platform: x86_64-pc-linux-gnu (64-bit) #> Running under: Ubuntu 22.04.3 LTS #>  #> Matrix products: default #> BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3  #> LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so;  LAPACK version 3.10.0 #>  #> locale: #>  [1] LC_CTYPE=C.UTF-8       LC_NUMERIC=C           LC_TIME=C.UTF-8        #>  [4] LC_COLLATE=C.UTF-8     LC_MONETARY=C.UTF-8    LC_MESSAGES=C.UTF-8    #>  [7] LC_PAPER=C.UTF-8       LC_NAME=C              LC_ADDRESS=C           #> [10] LC_TELEPHONE=C         LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C    #>  #> time zone: UTC #> tzcode source: system (glibc) #>  #> attached base packages: #> [1] stats     graphics  grDevices utils     datasets  methods   base      #>  #> other attached packages: #> [1] formattable_0.2.1 MiscMetabar_0.7.5 dplyr_1.1.4       dada2_1.30.0      #> [5] Rcpp_1.0.12       ggplot2_3.4.4     phyloseq_1.46.0   #>  #> loaded via a namespace (and not attached): #>   [1] bitops_1.0-7                pbapply_1.7-2               #>   [3] deldir_2.0-2                permute_0.9-7               #>   [5] rlang_1.1.3                 magrittr_2.0.3              #>   [7] ade4_1.7-22                 matrixStats_1.2.0           #>   [9] compiler_4.3.2              mgcv_1.9-0                  #>  [11] png_0.1-8                   systemfonts_1.0.5           #>  [13] vctrs_0.6.5                 reshape2_1.4.4              #>  [15] stringr_1.5.1               pkgconfig_2.0.3             #>  [17] crayon_1.5.2                fastmap_1.1.1               #>  [19] XVector_0.42.0              utf8_1.2.4                  #>  [21] Rsamtools_2.18.0            rmarkdown_2.25              #>  [23] ragg_1.2.7                  purrr_1.0.2                 #>  [25] xfun_0.41                   zlibbioc_1.48.0             #>  [27] cachem_1.0.8                GenomeInfoDb_1.38.6         #>  [29] jsonlite_1.8.8              biomformat_1.30.0           #>  [31] rhdf5filters_1.14.1         DelayedArray_0.28.0         #>  [33] Rhdf5lib_1.24.2             BiocParallel_1.36.0         #>  [35] jpeg_0.1-10                 parallel_4.3.2              #>  [37] cluster_2.1.4               R6_2.5.1                    #>  [39] bslib_0.6.1                 stringi_1.8.3               #>  [41] RColorBrewer_1.1-3          GenomicRanges_1.54.1        #>  [43] jquerylib_0.1.4             SummarizedExperiment_1.32.0 #>  [45] iterators_1.0.14            knitr_1.45                  #>  [47] IRanges_2.36.0              Matrix_1.6-1.1              #>  [49] splines_4.3.2               igraph_2.0.1.1              #>  [51] tidyselect_1.2.0            abind_1.4-5                 #>  [53] yaml_2.3.8                  vegan_2.6-4                 #>  [55] codetools_0.2-19            hwriter_1.3.2.1             #>  [57] lattice_0.21-9              tibble_3.2.1                #>  [59] plyr_1.8.9                  Biobase_2.62.0              #>  [61] withr_3.0.0                 ShortRead_1.60.0            #>  [63] evaluate_0.23               desc_1.4.3                  #>  [65] survival_3.5-7              RcppParallel_5.1.7          #>  [67] Biostrings_2.70.2           pillar_1.9.0                #>  [69] MatrixGenerics_1.14.0       foreach_1.5.2               #>  [71] stats4_4.3.2                generics_0.1.3              #>  [73] RCurl_1.98-1.14             S4Vectors_0.40.2            #>  [75] munsell_0.5.0               scales_1.3.0                #>  [77] glue_1.7.0                  tools_4.3.2                 #>  [79] interp_1.1-6                data.table_1.15.0           #>  [81] GenomicAlignments_1.38.2    fs_1.6.3                    #>  [83] rhdf5_2.46.1                grid_4.3.2                  #>  [85] ape_5.7-1                   latticeExtra_0.6-30         #>  [87] colorspace_2.1-0            nlme_3.1-163                #>  [89] GenomeInfoDbData_1.2.11     cli_3.6.2                   #>  [91] textshaping_0.3.7           fansi_1.0.6                 #>  [93] S4Arrays_1.2.0              gtable_0.3.4                #>  [95] sass_0.4.8                  digest_0.6.34               #>  [97] BiocGenerics_0.48.1         SparseArray_1.2.3           #>  [99] htmlwidgets_1.6.4           memoise_2.0.1               #> [101] htmltools_0.5.7             pkgdown_2.0.7               #> [103] multtest_2.58.0             lifecycle_1.0.4             #> [105] MASS_7.3-60"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/states_of_fields_in_R.html","id":"state-of-the-field-in-r","dir":"Articles","previous_headings":"","what":"State of the Field in R","title":"Metabarcoding with R","text":"metabarcoding ecosystem R language mature, well-constructed, relies active community bioconductor cran projects. bioconductor even creates specific task views Metagenomics Microbiome. R package dada2 (Callahan et al. 2016) provides highly cited recommended clustering method (Pauvert et al. 2019). dada2 also provides tools complete metabarcoding analysis pipeline, including chimera detection taxonomic assignment. phyloseq (McMurdie Holmes 2013) (https://bioconductor.org/packages/release/bioc/html/phyloseq.html) facilitate metagenomics analysis providing way store data (phyloseq class) graphical statistical functions. phyloseq package introduces S4 class object (class physeq), contains () OTU sample matrix, (ii) taxonomic table, (iii) sample metadata table, two optional slots (iv) phylogenetic tree (v) reference sequences. packages already extend phyloseq packages. example, microbiome package collection (Ernst et al. 2023) provides scripts functions manipulating microbiome datasets.speedyseq package (McLaren 2020) provides faster versions phyloseq’s plotting taxonomic merging functions, ([merge_samples2()] [merge_taxa_vec()]) integrated MiscMetabar (thanks Mike. R. McLaren). phylosmith Smith (2023) package already provides functions extend simplify use phyloseq packages. packages (mia forming microbiome package collection MicrobiotaProcess (Xu et al. 2023)) extend new data structure using comprehensive Bioconductor ecosystem SummarizedExperiment family. MiscMetabar enriches R ecosystem providing functions () describe dataset visually, (ii) transform data, (iii) explore biological diversity (alpha, beta, taxonomic diversity), (iv) simplify reproducibility. MiscMetabar designed complement compete R packages mentioned . example. mia package recommended studies focusing phylogenetic trees, phylosmith allows easy visualization co-occurrence networks. Using MicrobiotaProcess::.MPSE function, utilities MicrobiotaProcess package available functions MiscMetabar. try reinvent wheel prefer rely existing packages classes rather building new framework. MiscMetabar based phyloseq class phyloseq, cited package metagenomics (Wen et al. 2023). description comparison integrated packages competing phyloseq (e.g. microeco C. Liu et al. (2020), EasyAmplicon Y.-X. Liu et al. (2023) MicrobiomeAnalystR Lu et al. (2023)) see Wen et al. (2023). Note limitations phyloseq packages circumvented thanks phylosmith (Smith 2023), microViz ((Barnett, Arts, Penders 2021)) MiscMetabar. packages provide interactive interface useful rapid exploration code-beginner biologists. Animalcules (Zhao et al. 2021) microViz (Barnett, Arts, Penders 2021) provides shiny interactive interface whereas MicrobiomeAnalystR (Lu et al. 2023) web-based platform.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/states_of_fields_in_R.html","id":"session-information","dir":"Articles","previous_headings":"","what":"Session information","title":"Metabarcoding with R","text":"","code":"sessionInfo() ## R version 4.3.2 (2023-10-31) ## Platform: x86_64-pc-linux-gnu (64-bit) ## Running under: Ubuntu 22.04.3 LTS ##  ## Matrix products: default ## BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3  ## LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so;  LAPACK version 3.10.0 ##  ## locale: ##  [1] LC_CTYPE=C.UTF-8       LC_NUMERIC=C           LC_TIME=C.UTF-8        ##  [4] LC_COLLATE=C.UTF-8     LC_MONETARY=C.UTF-8    LC_MESSAGES=C.UTF-8    ##  [7] LC_PAPER=C.UTF-8       LC_NAME=C              LC_ADDRESS=C           ## [10] LC_TELEPHONE=C         LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C    ##  ## time zone: UTC ## tzcode source: system (glibc) ##  ## attached base packages: ## [1] stats     graphics  grDevices utils     datasets  methods   base      ##  ## loaded via a namespace (and not attached): ##  [1] vctrs_0.6.5       cli_3.6.2         knitr_1.45        rlang_1.1.3       ##  [5] xfun_0.41         stringi_1.8.3     purrr_1.0.2       textshaping_0.3.7 ##  [9] jsonlite_1.8.8    glue_1.7.0        htmltools_0.5.7   ragg_1.2.7        ## [13] sass_0.4.8        rmarkdown_2.25    evaluate_0.23     jquerylib_0.1.4   ## [17] fastmap_1.1.1     yaml_2.3.8        lifecycle_1.0.4   memoise_2.0.1     ## [21] stringr_1.5.1     compiler_4.3.2    fs_1.6.3          systemfonts_1.0.5 ## [25] digest_0.6.34     R6_2.5.1          magrittr_2.0.3    bslib_0.6.1       ## [29] tools_4.3.2       pkgdown_2.0.7     cachem_1.0.8      desc_1.4.3"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/tengeler.html","id":"load-library","dir":"Articles","previous_headings":"","what":"Load library","title":"tengeler","text":"","code":"library(\"MicrobiotaProcess\") #> Warning: replacing previous import 'S4Arrays::makeNindexFromArrayViewport' by #> 'DelayedArray::makeNindexFromArrayViewport' when loading 'SummarizedExperiment' library(\"MiscMetabar\") library(\"ggplot2\") library(\"patchwork\") library(\"iNEXT\") ?Tengeler2020"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/tengeler.html","id":"import-dataset-in-phyloseq-format","dir":"Articles","previous_headings":"","what":"Import dataset in phyloseq format","title":"tengeler","text":"","code":"data(Tengeler2020_pq) ten <- Tengeler2020_pq summary_plot_pq(ten)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/tengeler.html","id":"alpha-diversity-analysis","dir":"Articles","previous_headings":"","what":"Alpha-diversity analysis","title":"tengeler","text":"","code":"hill_pq(ten, \"patient_status\", one_plot = TRUE) res_inext <-   iNEXT_pq(ten,     datatype = \"abundance\",     merge_sample_by = \"patient_status_vs_cohort\",     nboot = 5   ) ggiNEXT(res_inext) accu_plot(   ten,   fact = \"sample_name\",   add_nb_seq = TRUE,   by.fact = TRUE,   step = 100 ) + theme(legend.position = c(.8, .6)) #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 9 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 17 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 25 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 7 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 8 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 6 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 14 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 28 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 3 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 7 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 2 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 15 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 5  #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 5 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 3 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 6 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 3 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 4 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 6 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 3  #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 3 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 21 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 5 #> Warning in vegan::rarefy(as.matrix(unclass(x[i, ])), n, se = TRUE): most #> observed count data have counts 1, but smallest count is 13 #> Warning: Removed 1 row containing missing values (`geom_line()`)."},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/tengeler.html","id":"explore-taxonomy","dir":"Articles","previous_headings":"","what":"Explore taxonomy","title":"tengeler","text":"","code":"library(metacoder) heat_tree_pq(ten,   node_size = n_obs,   node_color = nb_sequences,   node_label = taxon_names,   tree_label = taxon_names,   node_size_trans = \"log10 area\" ) treemap_pq(ten, lvl1 = \"Order\", lvl2 = \"Family\")"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/tengeler.html","id":"beta-diversity-analysis-effect-of-patient-status-and-cohort","dir":"Articles","previous_headings":"","what":"Beta-diversity analysis : effect of patient status and cohort","title":"tengeler","text":"","code":"circle_pq(ten, \"patient_status\") upset_pq(ten, \"patient_status_vs_cohort\") ggvenn_pq(clean_pq(ten, force_taxa_as_columns = TRUE),   \"cohort\",   rarefy_before_merging = TRUE ) +   theme(legend.position = \"none\") ten_control <- clean_pq(subset_samples(ten, patient_status == \"Control\")) p_control <- heat_tree_pq(ten_control,   node_size = n_obs,   node_color = nb_sequences,   node_label = taxon_names,   tree_label = taxon_names,   node_size_trans = \"log10 area\" )  ten_ADHD <- clean_pq(subset_samples(ten, patient_status == \"ADHD\")) p_ADHD <- heat_tree_pq(ten_ADHD,   node_size = n_obs,   node_color = nb_sequences,   node_label = taxon_names,   tree_label = taxon_names,   node_size_trans = \"log10 area\" )  p_control + ggtitle(\"Control\") + p_ADHD + ggtitle(\"ADHD\") knitr::kable(track_wkflow(list(   \"All samples\" = ten,   \"Control samples\" = ten_control,   \"ADHD samples\" = ten_ADHD ))) adonis_pq(ten, \"cohort + patient_status\") #> Permutation test for adonis under reduced model #> Terms added sequentially (first to last) #> Permutation: free #> Number of permutations: 999 #>  #> vegan::adonis2(formula = .formula, data = metadata) #>                Df SumOfSqs      R2      F Pr(>F)   #> cohort          2   0.7922 0.11785 1.6626  0.055 . #> patient_status  1   0.4503 0.06698 1.8898  0.076 . #> Residual       23   5.4799 0.81517                 #> Total          26   6.7223 1.00000                 #> --- #> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 ten@tax_table <- phyloseq::tax_table(cbind(   ten@tax_table,   \"Species\" = taxa_names(ten) ))  biplot_pq(subset_taxa_pq(ten, taxa_sums(ten) > 3000),   merge_sample_by = \"patient_status\",   fact = \"patient_status\",   nudge_y = 0.4 ) multitax_bar_pq(ten, \"Phylum\", \"Class\", \"Order\", \"patient_status\") multitax_bar_pq(ten, \"Phylum\", \"Class\", \"Order\", \"patient_status\",   nb_seq = FALSE, log10trans = FALSE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/tengeler.html","id":"differential-abundance-analysis","dir":"Articles","previous_headings":"","what":"Differential abundance analysis","title":"tengeler","text":"","code":"plot_deseq2_pq(ten,   contrast = c(\"patient_status\", \"ADHD\", \"Control\"),   taxolev = \"Genus\" ) #> Warning in DESeqDataSet(se, design = design, ignoreRank): some variables in #> design formula are characters, converting to factors LEfSe <- diff_analysis(   ten,   classgroup = \"patient_status\",   mlfun = \"lda\",   ldascore = 2,   p.adjust.methods = \"bh\" ) library(ggplot2) ggeffectsize(LEfSe) +   scale_color_manual(values = c(     \"#00AED7\",     \"#FD9347\"   )) +   theme_bw()"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/tengeler.html","id":"session-information","dir":"Articles","previous_headings":"","what":"Session information","title":"tengeler","text":"","code":"sessionInfo() #> R version 4.3.2 (2023-10-31) #> Platform: x86_64-pc-linux-gnu (64-bit) #> Running under: Ubuntu 22.04.3 LTS #>  #> Matrix products: default #> BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3  #> LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so;  LAPACK version 3.10.0 #>  #> locale: #>  [1] LC_CTYPE=C.UTF-8       LC_NUMERIC=C           LC_TIME=C.UTF-8        #>  [4] LC_COLLATE=C.UTF-8     LC_MONETARY=C.UTF-8    LC_MESSAGES=C.UTF-8    #>  [7] LC_PAPER=C.UTF-8       LC_NAME=C              LC_ADDRESS=C           #> [10] LC_TELEPHONE=C         LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C    #>  #> time zone: UTC #> tzcode source: system (glibc) #>  #> attached base packages: #> [1] stats     graphics  grDevices utils     datasets  methods   base      #>  #> other attached packages: #>  [1] metacoder_0.3.6          iNEXT_3.0.0              patchwork_1.2.0          #>  [4] MiscMetabar_0.7.5        dplyr_1.1.4              dada2_1.30.0             #>  [7] Rcpp_1.0.12              ggplot2_3.4.4            phyloseq_1.46.0          #> [10] MicrobiotaProcess_1.14.0 #>  #> loaded via a namespace (and not attached): #>   [1] libcoin_1.0-10              RColorBrewer_1.1-3          #>   [3] shape_1.4.6                 jsonlite_1.8.8              #>   [5] magrittr_2.0.3              TH.data_1.1-2               #>   [7] modeltools_0.2-23           farver_2.1.1                #>   [9] rmarkdown_2.25              GlobalOptions_0.1.2         #>  [11] fs_1.6.3                    zlibbioc_1.48.0             #>  [13] ragg_1.2.7                  vctrs_0.6.5                 #>  [15] multtest_2.58.0             memoise_2.0.1               #>  [17] Rsamtools_2.18.0            RCurl_1.98-1.14             #>  [19] ggtree_3.10.0               htmltools_0.5.7             #>  [21] S4Arrays_1.2.0              ComplexUpset_1.3.3          #>  [23] Rhdf5lib_1.24.2             SparseArray_1.2.3           #>  [25] rhdf5_2.46.1                gridGraphics_0.5-1          #>  [27] sass_0.4.8                  bslib_0.6.1                 #>  [29] desc_1.4.3                  plyr_1.8.9                  #>  [31] sandwich_3.1-0              zoo_1.8-12                  #>  [33] cachem_1.0.8                ggfittext_0.10.2            #>  [35] GenomicAlignments_1.38.2    igraph_2.0.1.1              #>  [37] lifecycle_1.0.4             iterators_1.0.14            #>  [39] pkgconfig_2.0.3             Matrix_1.6-1.1              #>  [41] R6_2.5.1                    fastmap_1.1.1               #>  [43] GenomeInfoDbData_1.2.11     MatrixGenerics_1.14.0       #>  [45] digest_0.6.34               aplot_0.2.2                 #>  [47] colorspace_2.1-0            ggnewscale_0.4.9            #>  [49] ShortRead_1.60.0            S4Vectors_0.40.2            #>  [51] DESeq2_1.42.0               textshaping_0.3.7           #>  [53] GenomicRanges_1.54.1        hwriter_1.3.2.1             #>  [55] vegan_2.6-4                 labeling_0.4.3              #>  [57] fansi_1.0.6                 abind_1.4-5                 #>  [59] mgcv_1.9-0                  compiler_4.3.2              #>  [61] withr_3.0.0                 BiocParallel_1.36.0         #>  [63] highr_0.10                  ggsignif_0.6.4              #>  [65] MASS_7.3-60                 DelayedArray_0.28.0         #>  [67] biomformat_1.30.0           permute_0.9-7               #>  [69] tools_4.3.2                 ape_5.7-1                   #>  [71] glue_1.7.0                  treemapify_2.5.6            #>  [73] nlme_3.1-163                rhdf5filters_1.14.1         #>  [75] grid_4.3.2                  cluster_2.1.4               #>  [77] reshape2_1.4.4              ade4_1.7-22                 #>  [79] generics_0.1.3              gtable_0.3.4                #>  [81] tidyr_1.3.1                 ggVennDiagram_1.5.0         #>  [83] data.table_1.15.0           coin_1.4-3                  #>  [85] utf8_1.2.4                  XVector_0.42.0              #>  [87] BiocGenerics_0.48.1         ggrepel_0.9.5               #>  [89] foreach_1.5.2               pillar_1.9.0                #>  [91] stringr_1.5.1               yulab.utils_0.1.4           #>  [93] circlize_0.4.15             splines_4.3.2               #>  [95] treeio_1.26.0               lattice_0.21-9              #>  [97] survival_3.5-7              deldir_2.0-2                #>  [99] tidyselect_1.2.0            locfit_1.5-9.8              #> [101] pbapply_1.7-2               Biostrings_2.70.2           #> [103] knitr_1.45                  gridExtra_2.3               #> [105] IRanges_2.36.0              SummarizedExperiment_1.32.0 #> [107] ggtreeExtra_1.12.0          stats4_4.3.2                #> [109] xfun_0.41                   Biobase_2.62.0              #> [111] matrixStats_1.2.0           stringi_1.8.3               #> [113] lazyeval_0.2.2              ggfun_0.1.4                 #> [115] yaml_2.3.8                  evaluate_0.23               #> [117] codetools_0.2-19            interp_1.1-6                #> [119] tibble_3.2.1                ggplotify_0.1.2             #> [121] cli_3.6.2                   RcppParallel_5.1.7          #> [123] systemfonts_1.0.5           munsell_0.5.0               #> [125] jquerylib_0.1.4             GenomeInfoDb_1.38.6         #> [127] png_0.1-8                   parallel_4.3.2              #> [129] ggh4x_0.2.8                 pkgdown_2.0.7               #> [131] latticeExtra_0.6-30         jpeg_0.1-10                 #> [133] bitops_1.0-7                ggstar_1.0.4                #> [135] mvtnorm_1.2-4               tidytree_0.4.6              #> [137] GA_3.2.4                    scales_1.3.0                #> [139] purrr_1.0.2                 crayon_1.5.2                #> [141] rlang_1.1.3                 multcomp_1.4-25"},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/tengeler.html","id":"references","dir":"Articles","previous_headings":"","what":"References","title":"tengeler","text":"Tengeler, .C., Dam, S.., Wiesmann, M. et al. Gut microbiota persons attention-deficit/hyperactivity disorder affects brain mice. Microbiome 8, 44 (2020). https://microbiomejournal.biomedcentral.com/articles/10.1186/s40168-020-00816-x","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/articles/tree_visualization.html","id":"session-information","dir":"Articles","previous_headings":"","what":"Session information","title":"Tree visualization","text":"","code":"sessionInfo() #> R version 4.3.2 (2023-10-31) #> Platform: x86_64-pc-linux-gnu (64-bit) #> Running under: Ubuntu 22.04.3 LTS #>  #> Matrix products: default #> BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3  #> LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so;  LAPACK version 3.10.0 #>  #> locale: #>  [1] LC_CTYPE=C.UTF-8       LC_NUMERIC=C           LC_TIME=C.UTF-8        #>  [4] LC_COLLATE=C.UTF-8     LC_MONETARY=C.UTF-8    LC_MESSAGES=C.UTF-8    #>  [7] LC_PAPER=C.UTF-8       LC_NAME=C              LC_ADDRESS=C           #> [10] LC_TELEPHONE=C         LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C    #>  #> time zone: UTC #> tzcode source: system (glibc) #>  #> attached base packages: #> [1] stats     graphics  grDevices utils     datasets  methods   base      #>  #> other attached packages: #>  [1] ggtree_3.10.0     treeio_1.26.0     phangorn_2.11.1   ape_5.7-1         #>  [5] MiscMetabar_0.7.5 dplyr_1.1.4       dada2_1.30.0      Rcpp_1.0.12       #>  [9] ggplot2_3.4.4     phyloseq_1.46.0   tidytree_0.4.6    #>  #> loaded via a namespace (and not attached): #>   [1] RColorBrewer_1.1-3          jsonlite_1.8.8              #>   [3] magrittr_2.0.3              farver_2.1.1                #>   [5] rmarkdown_2.25              fs_1.6.3                    #>   [7] zlibbioc_1.48.0             ragg_1.2.7                  #>   [9] vctrs_0.6.5                 multtest_2.58.0             #>  [11] memoise_2.0.1               Rsamtools_2.18.0            #>  [13] RCurl_1.98-1.14             htmltools_0.5.7             #>  [15] S4Arrays_1.2.0              Rhdf5lib_1.24.2             #>  [17] SparseArray_1.2.3           rhdf5_2.46.1                #>  [19] gridGraphics_0.5-1          sass_0.4.8                  #>  [21] bslib_0.6.1                 desc_1.4.3                  #>  [23] plyr_1.8.9                  DECIPHER_2.30.0             #>  [25] cachem_1.0.8                GenomicAlignments_1.38.2    #>  [27] igraph_2.0.1.1              lifecycle_1.0.4             #>  [29] iterators_1.0.14            pkgconfig_2.0.3             #>  [31] Matrix_1.6-1.1              R6_2.5.1                    #>  [33] fastmap_1.1.1               GenomeInfoDbData_1.2.11     #>  [35] MatrixGenerics_1.14.0       digest_0.6.34               #>  [37] aplot_0.2.2                 colorspace_2.1-0            #>  [39] ShortRead_1.60.0            patchwork_1.2.0             #>  [41] S4Vectors_0.40.2            textshaping_0.3.7           #>  [43] GenomicRanges_1.54.1        RSQLite_2.3.5               #>  [45] hwriter_1.3.2.1             vegan_2.6-4                 #>  [47] labeling_0.4.3              fansi_1.0.6                 #>  [49] abind_1.4-5                 mgcv_1.9-0                  #>  [51] compiler_4.3.2              bit64_4.0.5                 #>  [53] withr_3.0.0                 BiocParallel_1.36.0         #>  [55] DBI_1.2.1                   highr_0.10                  #>  [57] MASS_7.3-60                 DelayedArray_0.28.0         #>  [59] biomformat_1.30.0           permute_0.9-7               #>  [61] tools_4.3.2                 glue_1.7.0                  #>  [63] quadprog_1.5-8              nlme_3.1-163                #>  [65] rhdf5filters_1.14.1         grid_4.3.2                  #>  [67] cluster_2.1.4               reshape2_1.4.4              #>  [69] ade4_1.7-22                 generics_0.1.3              #>  [71] gtable_0.3.4                tidyr_1.3.1                 #>  [73] data.table_1.15.0           utf8_1.2.4                  #>  [75] XVector_0.42.0              BiocGenerics_0.48.1         #>  [77] foreach_1.5.2               pillar_1.9.0                #>  [79] stringr_1.5.1               yulab.utils_0.1.4           #>  [81] splines_4.3.2               lattice_0.21-9              #>  [83] survival_3.5-7              bit_4.0.5                   #>  [85] deldir_2.0-2                tidyselect_1.2.0            #>  [87] Biostrings_2.70.2           knitr_1.45                  #>  [89] IRanges_2.36.0              SummarizedExperiment_1.32.0 #>  [91] stats4_4.3.2                xfun_0.41                   #>  [93] Biobase_2.62.0              matrixStats_1.2.0           #>  [95] stringi_1.8.3               lazyeval_0.2.2              #>  [97] ggfun_0.1.4                 yaml_2.3.8                  #>  [99] evaluate_0.23               codetools_0.2-19            #> [101] interp_1.1-6                tibble_3.2.1                #> [103] ggplotify_0.1.2             cli_3.6.2                   #> [105] RcppParallel_5.1.7          systemfonts_1.0.5           #> [107] munsell_0.5.0               jquerylib_0.1.4             #> [109] GenomeInfoDb_1.38.6         png_0.1-8                   #> [111] parallel_4.3.2              pkgdown_2.0.7               #> [113] blob_1.2.4                  latticeExtra_0.6-30         #> [115] jpeg_0.1-10                 bitops_1.0-7                #> [117] scales_1.3.0                purrr_1.0.2                 #> [119] crayon_1.5.2                rlang_1.1.3                 #> [121] fastmatch_1.1-4"},{"path":"https://adrientaudiere.github.io/MiscMetabar/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Adrien Taudière. Author, maintainer, copyright holder.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Taudière (2024). MiscMetabar: Miscellaneous Functions Metabarcoding Analysis. R package version 0.7.5,  https://adrientaudiere.github.io/MiscMetabar/, https://github.com/adrientaudiere/MiscMetabar.","code":"@Manual{,   title = {MiscMetabar: Miscellaneous Functions for Metabarcoding Analysis},   author = {Adrien Taudière},   year = {2024},   note = {R package version 0.7.5,  https://adrientaudiere.github.io/MiscMetabar/},   url = {https://github.com/adrientaudiere/MiscMetabar}, }"},{"path":"https://adrientaudiere.github.io/MiscMetabar/index.html","id":"miscmetabar-","dir":"","previous_headings":"","what":"Miscellaneous Functions for Metabarcoding Analysis","title":"Miscellaneous Functions for Metabarcoding Analysis","text":"See pkgdown documentation site package paper Journal Open Softwares. Biological studies, especially ecology, health sciences taxonomy, need describe biological composition samples. last twenty years, () development DNA sequencing, (ii) reference databases, (iii) high-throughput sequencing (HTS), (iv) bioinformatics resources allowed description biological communities metabarcoding. Metabarcoding involves sequencing millions (meta-) short regions specific DNA (-barcoding, Valentini, Pompanon, Taberlet (2009)) often environmental samples (eDNA, Taberlet et al. (2012)) human stomach contents, lake water, soil air. MiscMetabar aims facilitate description, transformation, exploration reproducibility metabarcoding analysis using R. development MiscMetabar relies heavily R packages dada2 (Callahan et al. 2016), phyloseq (McMurdie Holmes 2013) targets (Landau 2021).","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Miscellaneous Functions for Metabarcoding Analysis","text":"CRAN version MiscMetabar now (work progress). MiscMetabar heavily relies two bioconductor packages (dada phyloseq), need first install 2 packages using BiocManager. can install stable version GitHub : can install development version GitHub :","code":"if (!require(\"devtools\", quietly = TRUE)) {   install.packages(\"devtools\") } devtools::install_github(\"adrientaudiere/MiscMetabar\") if (!require(\"devtools\", quietly = TRUE)) {   install.packages(\"devtools\") } devtools::install_github(\"adrientaudiere/MiscMetabar\", ref = \"dev\")"},{"path":"https://adrientaudiere.github.io/MiscMetabar/index.html","id":"some-use-of-miscmetabar","dir":"","previous_headings":"","what":"Some use of MiscMetabar","title":"Miscellaneous Functions for Metabarcoding Analysis","text":"See articles MiscMetabar website examples. introduction metabarcoding R, Please visite state field articles. import, export track article explains import export phyloseq object. also show summarize useful information (number sequences, samples clusters) accross bioinformatic pipelines. article explore data takes closer look different way explore samples taxonomical data phyloseq object. interested ecological metrics, see articles describing alpha-diversity beta-diversity analysis. article filter taxa samples describes data-filtering processes using MiscMetabar reclustering tutorial introduces different way clustering already-clustered OTU/ASV. article tengeler explore dataset Tengeler et al. (2020) using MiscMetabar functions. developers, also wrote article describing som rules codes.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/index.html","id":"summarize-a-physeq-object","dir":"","previous_headings":"Some use of MiscMetabar","what":"Summarize a physeq object","title":"Miscellaneous Functions for Metabarcoding Analysis","text":"","code":"library(\"MiscMetabar\") library(\"phyloseq\") library(\"magrittr\") data(\"data_fungi\") summary_plot_pq(data_fungi)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/index.html","id":"alpha-diversity-analysis","dir":"","previous_headings":"Some use of MiscMetabar","what":"Alpha-diversity analysis","title":"Miscellaneous Functions for Metabarcoding Analysis","text":"Hill number 1 Result Tuckey post-hoc test","code":"p <- MiscMetabar::hill_pq(data_fungi, variable = \"Height\") p$plot_Hill_0 p$plot_tuckey"},{"path":"https://adrientaudiere.github.io/MiscMetabar/index.html","id":"beta-diversity-analysis","dir":"","previous_headings":"Some use of MiscMetabar","what":"Beta-diversity analysis","title":"Miscellaneous Functions for Metabarcoding Analysis","text":"","code":"if (!require(\"ggVennDiagram\", quietly = TRUE)) {   install.packages(\"ggVennDiagramà\") } ggvenn_pq(data_fungi, fact = \"Height\") +   ggplot2::scale_fill_distiller(palette = \"BuPu\", direction = 1) +   labs(title = \"Share number of ASV among Height in tree\")"},{"path":"https://adrientaudiere.github.io/MiscMetabar/index.html","id":"note-for-non-linux-users","dir":"","previous_headings":"Some use of MiscMetabar","what":"Note for non-linux users","title":"Miscellaneous Functions for Metabarcoding Analysis","text":"functions may work windows (e.g. [track_wflow()], [cutadapt_remove_primers()], [krona()], [vsearch_clustering()], …). solution exploit docker container, example using great rocker project. MiscMetabar developed Linux vast majority functions may works Unix system, functionning test iOS.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/index.html","id":"installation-of-other-softwares-for-debian-linux-distributions","dir":"","previous_headings":"Some use of MiscMetabar","what":"Installation of other softwares for debian Linux distributions","title":"Miscellaneous Functions for Metabarcoding Analysis","text":"encounter errors questions installation softwares, please visit dedicated websites.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/index.html","id":"blast","dir":"","previous_headings":"Some use of MiscMetabar > Installation of other softwares for debian Linux distributions","what":"blast+","title":"Miscellaneous Functions for Metabarcoding Analysis","text":"","code":"sudo apt-get install ncbi-blast+"},{"path":"https://adrientaudiere.github.io/MiscMetabar/index.html","id":"vsearch","dir":"","previous_headings":"Some use of MiscMetabar > Installation of other softwares for debian Linux distributions","what":"vsearch","title":"Miscellaneous Functions for Metabarcoding Analysis","text":"possibilities install vsearch conda.","code":"sudo apt-get install vsearch"},{"path":"https://adrientaudiere.github.io/MiscMetabar/index.html","id":"swarm","dir":"","previous_headings":"Some use of MiscMetabar > Installation of other softwares for debian Linux distributions","what":"swarm","title":"Miscellaneous Functions for Metabarcoding Analysis","text":"possibilities install swarm conda.","code":"git clone https://github.com/torognes/swarm.git cd swarm/ make"},{"path":"https://adrientaudiere.github.io/MiscMetabar/index.html","id":"mumu","dir":"","previous_headings":"Some use of MiscMetabar > Installation of other softwares for debian Linux distributions","what":"Mumu","title":"Miscellaneous Functions for Metabarcoding Analysis","text":"","code":"git clone https://github.com/frederic-mahe/mumu.git cd ./mumu/ make make check make install  # as root or sudo"},{"path":"https://adrientaudiere.github.io/MiscMetabar/index.html","id":"cutadapt","dir":"","previous_headings":"Some use of MiscMetabar > Installation of other softwares for debian Linux distributions","what":"cutadapt","title":"Miscellaneous Functions for Metabarcoding Analysis","text":"","code":"conda create -n cutadaptenv cutadapt"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/LCBD_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute and test local contributions to beta diversity (LCBD) of\nsamples — LCBD_pq","title":"Compute and test local contributions to beta diversity (LCBD) of\nsamples — LCBD_pq","text":"wrapper adespatial::beta.div() function case physeq object.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/LCBD_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute and test local contributions to beta diversity (LCBD) of\nsamples — LCBD_pq","text":"","code":"LCBD_pq(physeq, p_adjust_method = \"BH\", ...)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/LCBD_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute and test local contributions to beta diversity (LCBD) of\nsamples — LCBD_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. p_adjust_method (chr, default \"BH\"): method used adjust p-value ... Others arguments passed adespatial::beta.div() function","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/LCBD_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute and test local contributions to beta diversity (LCBD) of\nsamples — LCBD_pq","text":"object class beta.div see adespatial::beta.div() function information","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/LCBD_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Compute and test local contributions to beta diversity (LCBD) of\nsamples — LCBD_pq","text":"Adrien Taudière function mainly wrapper work others. Please make reference adespatial::beta.div() use function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/LCBD_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compute and test local contributions to beta diversity (LCBD) of\nsamples — LCBD_pq","text":"","code":"res <- LCBD_pq(data_fungi_sp_known, nperm = 5) str(res) #> List of 8 #>  $ beta  : Named num [1:2] 173.647 0.949 #>   ..- attr(*, \"names\")= chr [1:2] \"SStotal\" \"BDtotal\" #>  $ SCBD  : Named num [1:651] 0.0533 0.0307 0.0206 0.0123 0.0122 ... #>   ..- attr(*, \"names\")= chr [1:651] \"ASV2\" \"ASV8\" \"ASV12\" \"ASV18\" ... #>  $ LCBD  : Named num [1:184] 0.00522 0.00559 0.00545 0.00516 0.00488 ... #>   ..- attr(*, \"names\")= chr [1:184] \"A10-005-B_S188_MERGED.fastq.gz\" \"A10-005-H_S189_MERGED.fastq.gz\" \"A10-005-M_S190_MERGED.fastq.gz\" \"A12-007_S191_MERGED.fastq.gz\" ... #>  $ p.LCBD: Named num [1:184] 1 0.5 0.667 1 1 ... #>   ..- attr(*, \"names\")= chr [1:184] \"A10-005-B_S188_MERGED.fastq.gz\" \"A10-005-H_S189_MERGED.fastq.gz\" \"A10-005-M_S190_MERGED.fastq.gz\" \"A12-007_S191_MERGED.fastq.gz\" ... #>  $ p.adj : Named num [1:184] 1 0.948 1 1 1 ... #>   ..- attr(*, \"names\")= chr [1:184] \"A10-005-B_S188_MERGED.fastq.gz\" \"A10-005-H_S189_MERGED.fastq.gz\" \"A10-005-M_S190_MERGED.fastq.gz\" \"A12-007_S191_MERGED.fastq.gz\" ... #>  $ method: chr [1:2] \"hellinger\" NA #>  $ note  : chr \"Info -- This coefficient is Euclidean\" #>  $ D     : logi NA #>  - attr(*, \"class\")= chr \"beta.div\" length(res$LCBD) #> [1] 184 length(res$SCBD) #> [1] 651 LCBD_pq(data_fungi_sp_known, nperm = 5, method = \"jaccard\") #> $beta #>    SStotal    BDtotal  #> 85.9986349  0.4699379  #>  #> $SCBD #> [1] NA #>  #> $LCBD #>    A10-005-B_S188_MERGED.fastq.gz    A10-005-H_S189_MERGED.fastq.gz  #>                       0.005431337                       0.005585492  #>    A10-005-M_S190_MERGED.fastq.gz      A12-007_S191_MERGED.fastq.gz  #>                       0.005478440                       0.005475019  #>      A12-007-B_S2_MERGED.fastq.gz        A15-004_S3_MERGED.fastq.gz  #>                       0.005495528                       0.005107525  #>         A8-005_S4_MERGED.fastq.gz         A9-012_S5_MERGED.fastq.gz  #>                       0.005393136                       0.005158405  #>    AB29-ABMX-H_S6_MERGED.fastq.gz       AC27-013_S7_MERGED.fastq.gz  #>                       0.005598452                       0.005362440  #>        AC29033_S8_MERGED.fastq.gz     AD26-005-B_S9_MERGED.fastq.gz  #>                       0.005435153                       0.005590336  #>    AD26-005-H_S10_MERGED.fastq.gz    AD26-005-M_S11_MERGED.fastq.gz  #>                       0.005541210                       0.005601384  #>   AD30-ABMX-M_S12_MERGED.fastq.gz    AD32-007-M_S13_MERGED.fastq.gz  #>                       0.005500683                       0.005415709  #>    ADABM30X-B_S14_MERGED.fastq.gz    ADABM30X-H_S15_MERGED.fastq.gz  #>                       0.005521256                       0.005515426  #>    ADABM30X-M_S16_MERGED.fastq.gz   AE30-ABM507_S17_MERGED.fastq.gz  #>                       0.005664555                       0.005417710  #>       B17-014_S18_MERGED.fastq.gz     B18-006-B_S19_MERGED.fastq.gz  #>                       0.005223051                       0.005124279  #>   BA16-036bis_S20_MERGED.fastq.gz    BA17-050-B_S21_MERGED.fastq.gz  #>                       0.005596074                       0.005383404  #>    BB19-006-H_S22_MERGED.fastq.gz     BB6-019-B_S23_MERGED.fastq.gz  #>                       0.005479949                       0.005473285  #>     BB6-019-H_S24_MERGED.fastq.gz     BB6-019-M_S25_MERGED.fastq.gz  #>                       0.005516622                       0.005405949  #>      BD14-021_S26_MERGED.fastq.gz     BE9-006-B_S27_MERGED.fastq.gz  #>                       0.005391203                       0.005416875  #>     BE9-006-H_S28_MERGED.fastq.gz     BE9-006-M_S29_MERGED.fastq.gz  #>                       0.005388380                       0.005428383  #>     BG7-010-B_S30_MERGED.fastq.gz     BG7-010-H_S31_MERGED.fastq.gz  #>                       0.004971520                       0.005251272  #>     BG7-010-M_S32_MERGED.fastq.gz       BH9-021_S33_MERGED.fastq.gz  #>                       0.004998273                       0.005289260  #>    BJ17-007-M_S34_MERGED.fastq.gz   BJ8-ABM-003_S35_MERGED.fastq.gz  #>                       0.005409853                       0.005612220  #>     BL7-006-B_S36_MERGED.fastq.gz     BL7-006-H_S37_MERGED.fastq.gz  #>                       0.005027453                       0.004991713  #>     BL7-006-M_S38_MERGED.fastq.gz      BN11-041_S39_MERGED.fastq.gz  #>                       0.004807057                       0.005462552  #>       BN9-002_S40_MERGED.fastq.gz       BO8-002_S41_MERGED.fastq.gz  #>                       0.005701409                       0.005552082  #>       BO8-005_S42_MERGED.fastq.gz    BP11-001-B_S43_MERGED.fastq.gz  #>                       0.005608939                       0.005528332  #>    BP11-001-H_S44_MERGED.fastq.gz    BP11-001-M_S45_MERGED.fastq.gz  #>                       0.005370893                       0.005529987  #>    BP12-025-B_S46_MERGED.fastq.gz      BP14-006_S47_MERGED.fastq.gz  #>                       0.005591550                       0.005358656  #>       BQ3-019_S48_MERGED.fastq.gz     BQ4-018-B_S49_MERGED.fastq.gz  #>                       0.005701273                       0.005389513  #>     BQ4-018-H_S50_MERGED.fastq.gz     BQ4-018-M_S51_MERGED.fastq.gz  #>                       0.005525345                       0.005606490  #>    BQ9ABM-002_S52_MERGED.fastq.gz       BR8-005_S53_MERGED.fastq.gz  #>                       0.005532056                       0.005525636  #>      BS14-006_S54_MERGED.fastq.gz      BT-006-M_S55_MERGED.fastq.gz  #>                       0.005417430                       0.005198680  #>       BT7-006_S56_MERGED.fastq.gz    BV11-002-B_S57_MERGED.fastq.gz  #>                       0.005113717                       0.005492216  #>    BV11-002-H_S58_MERGED.fastq.gz    BV11-002-M_S59_MERGED.fastq.gz  #>                       0.005472138                       0.005632221  #>       BW8-003_S60_MERGED.fastq.gz        C1-001_S61_MERGED.fastq.gz  #>                       0.005379245                       0.005308420  #>     C21-NV1-B_S62_MERGED.fastq.gz     C21-NV1-H_S63_MERGED.fastq.gz  #>                       0.005545973                       0.005511839  #>     C21-NV1-M_S64_MERGED.fastq.gz        C9-005_S65_MERGED.fastq.gz  #>                       0.005743994                       0.005625365  #>      CA12-024_S66_MERGED.fastq.gz       CA9-027_S67_MERGED.fastq.gz  #>                       0.005587228                       0.005743050  #>         CA9-X_S68_MERGED.fastq.gz     CB8-019-B_S69_MERGED.fastq.gz  #>                       0.005460232                       0.005606963  #>     CB8-019-H_S70_MERGED.fastq.gz     CB8-019-M_S71_MERGED.fastq.gz  #>                       0.005536705                       0.005564729  #>       CB9-013_S72_MERGED.fastq.gz       CC3-044_S73_MERGED.fastq.gz  #>                       0.005524410                       0.005491664  #>       CC8-003_S74_MERGED.fastq.gz       D17-011_S77_MERGED.fastq.gz  #>                       0.005636944                       0.005390811  #>     D18-003-B_S78_MERGED.fastq.gz     D18-003-H_S79_MERGED.fastq.gz  #>                       0.005491481                       0.005557191  #>     D18-003-M_S80_MERGED.fastq.gz    D22-NVABM1_S81_MERGED.fastq.gz  #>                       0.005613003                       0.005399096  #>     D61-010-B_S82_MERGED.fastq.gz      D9-027-B_S83_MERGED.fastq.gz  #>                       0.005525214                       0.005243712  #>      D9-027-H_S84_MERGED.fastq.gz      D9-027-M_S85_MERGED.fastq.gz  #>                       0.005057125                       0.005270961  #>   DBM-ABM-001_S86_MERGED.fastq.gz     DJ2-008-B_S87_MERGED.fastq.gz  #>                       0.005344133                       0.005432589  #>     DJ2-008-H_S88_MERGED.fastq.gz     DJ2-008-M_S89_MERGED.fastq.gz  #>                       0.005667010                       0.005312133  #>    DP4-ABM001_S90_MERGED.fastq.gz  DS1-ABM002-B_S91_MERGED.fastq.gz  #>                       0.005600380                       0.005512753  #>  DS1-ABM002-H_S92_MERGED.fastq.gz  DS1-ABM002-M_S93_MERGED.fastq.gz  #>                       0.005689445                       0.005526927  #>     DU3-045-B_S94_MERGED.fastq.gz       DW4-007_S95_MERGED.fastq.gz  #>                       0.005380856                       0.005500723  #>     DY5-004-B_S96_MERGED.fastq.gz     DY5-004-H_S97_MERGED.fastq.gz  #>                       0.005182943                       0.005088777  #>     DY5-004-M_S98_MERGED.fastq.gz   DZ6-ABM-001_S99_MERGED.fastq.gz  #>                       0.005203781                       0.005593447  #>     E9-009-B_S100_MERGED.fastq.gz     E9-009-H_S101_MERGED.fastq.gz  #>                       0.005093335                       0.005052157  #>     E9-009-M_S102_MERGED.fastq.gz  EA5-ABM-001_S103_MERGED.fastq.gz  #>                       0.004981648                       0.005515744  #>    EC2-013-B_S104_MERGED.fastq.gz   F6-ABM-001_S105_MERGED.fastq.gz  #>                       0.005582450                       0.005767824  #>     F7-015-M_S106_MERGED.fastq.gz    FOMES19-H_S108_MERGED.fastq.gz  #>                       0.005757017                       0.005119403  #>    FOMES19-M_S109_MERGED.fastq.gz    H10-018-M_S110_MERGED.fastq.gz  #>                       0.005237816                       0.005572858  #> H24-NVABM1-H_S111_MERGED.fastq.gz    J18-004-B_S114_MERGED.fastq.gz  #>                       0.005271013                       0.005182117  #>    J18-004-H_S115_MERGED.fastq.gz    J18-004-M_S116_MERGED.fastq.gz  #>                       0.005799836                       0.005164878  #>    K18-002-H_S117_MERGED.fastq.gz   K26-NVABM1_S118_MERGED.fastq.gz  #>                       0.005525452                       0.005536350  #>       L19X-B_S119_MERGED.fastq.gz       L19X-H_S120_MERGED.fastq.gz  #>                       0.005776322                       0.005550468  #>       L19X-M_S121_MERGED.fastq.gz    L23-002-B_S122_MERGED.fastq.gz  #>                       0.005397867                       0.005173481  #>    L23-002-H_S123_MERGED.fastq.gz    L23-002-M_S124_MERGED.fastq.gz  #>                       0.005607710                       0.005288520  #>      M22-001_S125_MERGED.fastq.gz       N19X-B_S126_MERGED.fastq.gz  #>                       0.005620118                       0.005069924  #>       N19X-H_S127_MERGED.fastq.gz       N19X-M_S128_MERGED.fastq.gz  #>                       0.005296358                       0.005410732  #>    N22-001-B_S129_MERGED.fastq.gz    N23-002-B_S130_MERGED.fastq.gz  #>                       0.005797441                       0.005504839  #>    N23-002-H_S131_MERGED.fastq.gz     N25-ABMX_S133_MERGED.fastq.gz  #>                       0.005505184                       0.005570539  #>   NVABM-0058_S134_MERGED.fastq.gz NVABM-0163-H_S135_MERGED.fastq.gz  #>                       0.005498004                       0.005552250  #>   NVABM-0397_S138_MERGED.fastq.gz    NVABM0216_S136_MERGED.fastq.gz  #>                       0.005541689                       0.005670066  #>  NVABM0244-M_S137_MERGED.fastq.gz      O20-X-B_S139_MERGED.fastq.gz  #>                       0.005753293                       0.005585280  #>      O20-X-H_S140_MERGED.fastq.gz      O20-X-M_S141_MERGED.fastq.gz  #>                       0.005246993                       0.005237162  #>    O21-007-B_S142_MERGED.fastq.gz    O21-007-H_S143_MERGED.fastq.gz  #>                       0.005499893                       0.005608886  #>    O21-007-M_S144_MERGED.fastq.gz    O24-003-B_S145_MERGED.fastq.gz  #>                       0.005972513                       0.005346457  #>    O24-003-H_S146_MERGED.fastq.gz    O24-003-M_S147_MERGED.fastq.gz  #>                       0.005502025                       0.005328186  #>    O26-004-B_S148_MERGED.fastq.gz    O26-004-H_S149_MERGED.fastq.gz  #>                       0.005598397                       0.005573576  #>    O26-004-M_S150_MERGED.fastq.gz      O27-012_S151_MERGED.fastq.gz  #>                       0.005774263                       0.005621182  #>     O9-005-B_S152_MERGED.fastq.gz    P19-023-M_S153_MERGED.fastq.gz  #>                       0.005121205                       0.005585693  #>    P27-015-M_S154_MERGED.fastq.gz   P27-ABM001_S155_MERGED.fastq.gz  #>                       0.005654745                       0.005672433  #> Q27-ABM003-B_S156_MERGED.fastq.gz     R25-ABMX_S157_MERGED.fastq.gz  #>                       0.005491006                       0.005448344  #>    R28-008-B_S158_MERGED.fastq.gz    R28-008-H_S159_MERGED.fastq.gz  #>                       0.005131425                       0.005015862  #>    R28-008-M_S160_MERGED.fastq.gz      T28-011_S161_MERGED.fastq.gz  #>                       0.005106585                       0.005512879  #> T28-ABM602-B_S162_MERGED.fastq.gz   U27-ABM002_S163_MERGED.fastq.gz  #>                       0.005813927                       0.005403655  #>     W25-ABMX_S164_MERGED.fastq.gz    W26-001-B_S165_MERGED.fastq.gz  #>                       0.005486949                       0.004783710  #>    W26-001-H_S166_MERGED.fastq.gz    W26-001-M_S167_MERGED.fastq.gz  #>                       0.004935947                       0.005094514  #>      W30-006_S168_MERGED.fastq.gz     W9-025-M_S169_MERGED.fastq.gz  #>                       0.005427852                       0.005765172  #>    X24-009-B_S170_MERGED.fastq.gz    X24-009-H_S171_MERGED.fastq.gz  #>                       0.005299386                       0.005621477  #>    X24-009-M_S172_MERGED.fastq.gz      X24-010_S173_MERGED.fastq.gz  #>                       0.005583280                       0.005599091  #>    X29-004-B_S174_MERGED.fastq.gz    X29-004-H_S175_MERGED.fastq.gz  #>                       0.005693585                       0.005305343  #>    X29-004-M_S176_MERGED.fastq.gz Y21-ABM484-H_S177_MERGED.fastq.gz  #>                       0.005500181                       0.005406702  #>    Y28-002-B_S178_MERGED.fastq.gz    Y28-002-H_S179_MERGED.fastq.gz  #>                       0.005310932                       0.005155402  #>    Y28-002-M_S180_MERGED.fastq.gz    Y29-007-B_S181_MERGED.fastq.gz  #>                       0.005371721                       0.005157384  #>    Y29-007-H_S182_MERGED.fastq.gz    Y29-007-M_S183_MERGED.fastq.gz  #>                       0.005124434                       0.005539944  #> Y31-ABM484-B_S184_MERGED.fastq.gz    Z29-001-H_S185_MERGED.fastq.gz  #>                       0.005617242                       0.005465091  #>      Z30-002_S186_MERGED.fastq.gz Z30-ABM560-M_S187_MERGED.fastq.gz  #>                       0.005118409                       0.005401336  #>  #> $p.LCBD #>    A10-005-B_S188_MERGED.fastq.gz    A10-005-H_S189_MERGED.fastq.gz  #>                         0.3333333                         0.3333333  #>    A10-005-M_S190_MERGED.fastq.gz      A12-007_S191_MERGED.fastq.gz  #>                         0.5000000                         0.1666667  #>      A12-007-B_S2_MERGED.fastq.gz        A15-004_S3_MERGED.fastq.gz  #>                         0.1666667                         1.0000000  #>         A8-005_S4_MERGED.fastq.gz         A9-012_S5_MERGED.fastq.gz  #>                         0.5000000                         0.8333333  #>    AB29-ABMX-H_S6_MERGED.fastq.gz       AC27-013_S7_MERGED.fastq.gz  #>                         0.1666667                         0.6666667  #>        AC29033_S8_MERGED.fastq.gz     AD26-005-B_S9_MERGED.fastq.gz  #>                         0.8333333                         0.3333333  #>    AD26-005-H_S10_MERGED.fastq.gz    AD26-005-M_S11_MERGED.fastq.gz  #>                         0.3333333                         0.1666667  #>   AD30-ABMX-M_S12_MERGED.fastq.gz    AD32-007-M_S13_MERGED.fastq.gz  #>                         0.3333333                         0.3333333  #>    ADABM30X-B_S14_MERGED.fastq.gz    ADABM30X-H_S15_MERGED.fastq.gz  #>                         0.5000000                         0.6666667  #>    ADABM30X-M_S16_MERGED.fastq.gz   AE30-ABM507_S17_MERGED.fastq.gz  #>                         0.1666667                         0.5000000  #>       B17-014_S18_MERGED.fastq.gz     B18-006-B_S19_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>   BA16-036bis_S20_MERGED.fastq.gz    BA17-050-B_S21_MERGED.fastq.gz  #>                         0.1666667                         0.8333333  #>    BB19-006-H_S22_MERGED.fastq.gz     BB6-019-B_S23_MERGED.fastq.gz  #>                         0.5000000                         0.5000000  #>     BB6-019-H_S24_MERGED.fastq.gz     BB6-019-M_S25_MERGED.fastq.gz  #>                         0.1666667                         0.5000000  #>      BD14-021_S26_MERGED.fastq.gz     BE9-006-B_S27_MERGED.fastq.gz  #>                         1.0000000                         0.5000000  #>     BE9-006-H_S28_MERGED.fastq.gz     BE9-006-M_S29_MERGED.fastq.gz  #>                         0.8333333                         0.5000000  #>     BG7-010-B_S30_MERGED.fastq.gz     BG7-010-H_S31_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>     BG7-010-M_S32_MERGED.fastq.gz       BH9-021_S33_MERGED.fastq.gz  #>                         1.0000000                         0.8333333  #>    BJ17-007-M_S34_MERGED.fastq.gz   BJ8-ABM-003_S35_MERGED.fastq.gz  #>                         0.6666667                         0.1666667  #>     BL7-006-B_S36_MERGED.fastq.gz     BL7-006-H_S37_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>     BL7-006-M_S38_MERGED.fastq.gz      BN11-041_S39_MERGED.fastq.gz  #>                         1.0000000                         0.5000000  #>       BN9-002_S40_MERGED.fastq.gz       BO8-002_S41_MERGED.fastq.gz  #>                         0.3333333                         0.3333333  #>       BO8-005_S42_MERGED.fastq.gz    BP11-001-B_S43_MERGED.fastq.gz  #>                         0.5000000                         0.3333333  #>    BP11-001-H_S44_MERGED.fastq.gz    BP11-001-M_S45_MERGED.fastq.gz  #>                         0.8333333                         0.5000000  #>    BP12-025-B_S46_MERGED.fastq.gz      BP14-006_S47_MERGED.fastq.gz  #>                         0.5000000                         0.8333333  #>       BQ3-019_S48_MERGED.fastq.gz     BQ4-018-B_S49_MERGED.fastq.gz  #>                         0.1666667                         0.6666667  #>     BQ4-018-H_S50_MERGED.fastq.gz     BQ4-018-M_S51_MERGED.fastq.gz  #>                         0.5000000                         0.3333333  #>    BQ9ABM-002_S52_MERGED.fastq.gz       BR8-005_S53_MERGED.fastq.gz  #>                         0.3333333                         0.6666667  #>      BS14-006_S54_MERGED.fastq.gz      BT-006-M_S55_MERGED.fastq.gz  #>                         0.6666667                         1.0000000  #>       BT7-006_S56_MERGED.fastq.gz    BV11-002-B_S57_MERGED.fastq.gz  #>                         1.0000000                         0.5000000  #>    BV11-002-H_S58_MERGED.fastq.gz    BV11-002-M_S59_MERGED.fastq.gz  #>                         0.3333333                         0.1666667  #>       BW8-003_S60_MERGED.fastq.gz        C1-001_S61_MERGED.fastq.gz  #>                         0.8333333                         1.0000000  #>     C21-NV1-B_S62_MERGED.fastq.gz     C21-NV1-H_S63_MERGED.fastq.gz  #>                         0.5000000                         0.3333333  #>     C21-NV1-M_S64_MERGED.fastq.gz        C9-005_S65_MERGED.fastq.gz  #>                         0.1666667                         0.3333333  #>      CA12-024_S66_MERGED.fastq.gz       CA9-027_S67_MERGED.fastq.gz  #>                         0.1666667                         0.1666667  #>         CA9-X_S68_MERGED.fastq.gz     CB8-019-B_S69_MERGED.fastq.gz  #>                         0.5000000                         0.1666667  #>     CB8-019-H_S70_MERGED.fastq.gz     CB8-019-M_S71_MERGED.fastq.gz  #>                         0.5000000                         0.3333333  #>       CB9-013_S72_MERGED.fastq.gz       CC3-044_S73_MERGED.fastq.gz  #>                         0.3333333                         0.5000000  #>       CC8-003_S74_MERGED.fastq.gz       D17-011_S77_MERGED.fastq.gz  #>                         0.1666667                         0.6666667  #>     D18-003-B_S78_MERGED.fastq.gz     D18-003-H_S79_MERGED.fastq.gz  #>                         0.3333333                         0.3333333  #>     D18-003-M_S80_MERGED.fastq.gz    D22-NVABM1_S81_MERGED.fastq.gz  #>                         0.1666667                         0.3333333  #>     D61-010-B_S82_MERGED.fastq.gz      D9-027-B_S83_MERGED.fastq.gz  #>                         0.3333333                         1.0000000  #>      D9-027-H_S84_MERGED.fastq.gz      D9-027-M_S85_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>   DBM-ABM-001_S86_MERGED.fastq.gz     DJ2-008-B_S87_MERGED.fastq.gz  #>                         1.0000000                         0.5000000  #>     DJ2-008-H_S88_MERGED.fastq.gz     DJ2-008-M_S89_MERGED.fastq.gz  #>                         0.1666667                         0.5000000  #>    DP4-ABM001_S90_MERGED.fastq.gz  DS1-ABM002-B_S91_MERGED.fastq.gz  #>                         0.3333333                         0.1666667  #>  DS1-ABM002-H_S92_MERGED.fastq.gz  DS1-ABM002-M_S93_MERGED.fastq.gz  #>                         0.1666667                         0.3333333  #>     DU3-045-B_S94_MERGED.fastq.gz       DW4-007_S95_MERGED.fastq.gz  #>                         0.6666667                         0.3333333  #>     DY5-004-B_S96_MERGED.fastq.gz     DY5-004-H_S97_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>     DY5-004-M_S98_MERGED.fastq.gz   DZ6-ABM-001_S99_MERGED.fastq.gz  #>                         1.0000000                         0.1666667  #>     E9-009-B_S100_MERGED.fastq.gz     E9-009-H_S101_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>     E9-009-M_S102_MERGED.fastq.gz  EA5-ABM-001_S103_MERGED.fastq.gz  #>                         1.0000000                         0.5000000  #>    EC2-013-B_S104_MERGED.fastq.gz   F6-ABM-001_S105_MERGED.fastq.gz  #>                         0.1666667                         0.1666667  #>     F7-015-M_S106_MERGED.fastq.gz    FOMES19-H_S108_MERGED.fastq.gz  #>                         0.1666667                         1.0000000  #>    FOMES19-M_S109_MERGED.fastq.gz    H10-018-M_S110_MERGED.fastq.gz  #>                         1.0000000                         0.5000000  #> H24-NVABM1-H_S111_MERGED.fastq.gz    J18-004-B_S114_MERGED.fastq.gz  #>                         0.8333333                         1.0000000  #>    J18-004-H_S115_MERGED.fastq.gz    J18-004-M_S116_MERGED.fastq.gz  #>                         0.1666667                         1.0000000  #>    K18-002-H_S117_MERGED.fastq.gz   K26-NVABM1_S118_MERGED.fastq.gz  #>                         0.5000000                         0.3333333  #>       L19X-B_S119_MERGED.fastq.gz       L19X-H_S120_MERGED.fastq.gz  #>                         0.1666667                         0.5000000  #>       L19X-M_S121_MERGED.fastq.gz    L23-002-B_S122_MERGED.fastq.gz  #>                         0.6666667                         1.0000000  #>    L23-002-H_S123_MERGED.fastq.gz    L23-002-M_S124_MERGED.fastq.gz  #>                         0.1666667                         1.0000000  #>      M22-001_S125_MERGED.fastq.gz       N19X-B_S126_MERGED.fastq.gz  #>                         0.3333333                         1.0000000  #>       N19X-H_S127_MERGED.fastq.gz       N19X-M_S128_MERGED.fastq.gz  #>                         1.0000000                         0.6666667  #>    N22-001-B_S129_MERGED.fastq.gz    N23-002-B_S130_MERGED.fastq.gz  #>                         0.1666667                         0.3333333  #>    N23-002-H_S131_MERGED.fastq.gz     N25-ABMX_S133_MERGED.fastq.gz  #>                         0.8333333                         0.1666667  #>   NVABM-0058_S134_MERGED.fastq.gz NVABM-0163-H_S135_MERGED.fastq.gz  #>                         0.6666667                         0.1666667  #>   NVABM-0397_S138_MERGED.fastq.gz    NVABM0216_S136_MERGED.fastq.gz  #>                         0.5000000                         0.1666667  #>  NVABM0244-M_S137_MERGED.fastq.gz      O20-X-B_S139_MERGED.fastq.gz  #>                         0.1666667                         0.3333333  #>      O20-X-H_S140_MERGED.fastq.gz      O20-X-M_S141_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>    O21-007-B_S142_MERGED.fastq.gz    O21-007-H_S143_MERGED.fastq.gz  #>                         0.1666667                         0.1666667  #>    O21-007-M_S144_MERGED.fastq.gz    O24-003-B_S145_MERGED.fastq.gz  #>                         0.1666667                         0.8333333  #>    O24-003-H_S146_MERGED.fastq.gz    O24-003-M_S147_MERGED.fastq.gz  #>                         0.3333333                         1.0000000  #>    O26-004-B_S148_MERGED.fastq.gz    O26-004-H_S149_MERGED.fastq.gz  #>                         0.1666667                         0.1666667  #>    O26-004-M_S150_MERGED.fastq.gz      O27-012_S151_MERGED.fastq.gz  #>                         0.1666667                         0.3333333  #>     O9-005-B_S152_MERGED.fastq.gz    P19-023-M_S153_MERGED.fastq.gz  #>                         1.0000000                         0.1666667  #>    P27-015-M_S154_MERGED.fastq.gz   P27-ABM001_S155_MERGED.fastq.gz  #>                         0.1666667                         0.1666667  #> Q27-ABM003-B_S156_MERGED.fastq.gz     R25-ABMX_S157_MERGED.fastq.gz  #>                         0.3333333                         0.5000000  #>    R28-008-B_S158_MERGED.fastq.gz    R28-008-H_S159_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>    R28-008-M_S160_MERGED.fastq.gz      T28-011_S161_MERGED.fastq.gz  #>                         1.0000000                         0.3333333  #> T28-ABM602-B_S162_MERGED.fastq.gz   U27-ABM002_S163_MERGED.fastq.gz  #>                         0.1666667                         0.5000000  #>     W25-ABMX_S164_MERGED.fastq.gz    W26-001-B_S165_MERGED.fastq.gz  #>                         0.3333333                         1.0000000  #>    W26-001-H_S166_MERGED.fastq.gz    W26-001-M_S167_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>      W30-006_S168_MERGED.fastq.gz     W9-025-M_S169_MERGED.fastq.gz  #>                         0.3333333                         0.1666667  #>    X24-009-B_S170_MERGED.fastq.gz    X24-009-H_S171_MERGED.fastq.gz  #>                         0.8333333                         0.1666667  #>    X24-009-M_S172_MERGED.fastq.gz      X24-010_S173_MERGED.fastq.gz  #>                         0.1666667                         0.1666667  #>    X29-004-B_S174_MERGED.fastq.gz    X29-004-H_S175_MERGED.fastq.gz  #>                         0.1666667                         0.5000000  #>    X29-004-M_S176_MERGED.fastq.gz Y21-ABM484-H_S177_MERGED.fastq.gz  #>                         0.8333333                         0.6666667  #>    Y28-002-B_S178_MERGED.fastq.gz    Y28-002-H_S179_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>    Y28-002-M_S180_MERGED.fastq.gz    Y29-007-B_S181_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>    Y29-007-H_S182_MERGED.fastq.gz    Y29-007-M_S183_MERGED.fastq.gz  #>                         1.0000000                         0.1666667  #> Y31-ABM484-B_S184_MERGED.fastq.gz    Z29-001-H_S185_MERGED.fastq.gz  #>                         0.1666667                         0.6666667  #>      Z30-002_S186_MERGED.fastq.gz Z30-ABM560-M_S187_MERGED.fastq.gz  #>                         1.0000000                         0.8333333  #>  #> $p.adj #>    A10-005-B_S188_MERGED.fastq.gz    A10-005-H_S189_MERGED.fastq.gz  #>                         0.7572016                         0.7572016  #>    A10-005-M_S190_MERGED.fastq.gz      A12-007_S191_MERGED.fastq.gz  #>                         0.8363636                         0.6388889  #>      A12-007-B_S2_MERGED.fastq.gz        A15-004_S3_MERGED.fastq.gz  #>                         0.6388889                         1.0000000  #>         A8-005_S4_MERGED.fastq.gz         A9-012_S5_MERGED.fastq.gz  #>                         0.8363636                         1.0000000  #>    AB29-ABMX-H_S6_MERGED.fastq.gz       AC27-013_S7_MERGED.fastq.gz  #>                         0.6388889                         0.9972900  #>        AC29033_S8_MERGED.fastq.gz     AD26-005-B_S9_MERGED.fastq.gz  #>                         1.0000000                         0.7572016  #>    AD26-005-H_S10_MERGED.fastq.gz    AD26-005-M_S11_MERGED.fastq.gz  #>                         0.7572016                         0.6388889  #>   AD30-ABMX-M_S12_MERGED.fastq.gz    AD32-007-M_S13_MERGED.fastq.gz  #>                         0.7572016                         0.7572016  #>    ADABM30X-B_S14_MERGED.fastq.gz    ADABM30X-H_S15_MERGED.fastq.gz  #>                         0.8363636                         0.9972900  #>    ADABM30X-M_S16_MERGED.fastq.gz   AE30-ABM507_S17_MERGED.fastq.gz  #>                         0.6388889                         0.8363636  #>       B17-014_S18_MERGED.fastq.gz     B18-006-B_S19_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>   BA16-036bis_S20_MERGED.fastq.gz    BA17-050-B_S21_MERGED.fastq.gz  #>                         0.6388889                         1.0000000  #>    BB19-006-H_S22_MERGED.fastq.gz     BB6-019-B_S23_MERGED.fastq.gz  #>                         0.8363636                         0.8363636  #>     BB6-019-H_S24_MERGED.fastq.gz     BB6-019-M_S25_MERGED.fastq.gz  #>                         0.6388889                         0.8363636  #>      BD14-021_S26_MERGED.fastq.gz     BE9-006-B_S27_MERGED.fastq.gz  #>                         1.0000000                         0.8363636  #>     BE9-006-H_S28_MERGED.fastq.gz     BE9-006-M_S29_MERGED.fastq.gz  #>                         1.0000000                         0.8363636  #>     BG7-010-B_S30_MERGED.fastq.gz     BG7-010-H_S31_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>     BG7-010-M_S32_MERGED.fastq.gz       BH9-021_S33_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>    BJ17-007-M_S34_MERGED.fastq.gz   BJ8-ABM-003_S35_MERGED.fastq.gz  #>                         0.9972900                         0.6388889  #>     BL7-006-B_S36_MERGED.fastq.gz     BL7-006-H_S37_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>     BL7-006-M_S38_MERGED.fastq.gz      BN11-041_S39_MERGED.fastq.gz  #>                         1.0000000                         0.8363636  #>       BN9-002_S40_MERGED.fastq.gz       BO8-002_S41_MERGED.fastq.gz  #>                         0.7572016                         0.7572016  #>       BO8-005_S42_MERGED.fastq.gz    BP11-001-B_S43_MERGED.fastq.gz  #>                         0.8363636                         0.7572016  #>    BP11-001-H_S44_MERGED.fastq.gz    BP11-001-M_S45_MERGED.fastq.gz  #>                         1.0000000                         0.8363636  #>    BP12-025-B_S46_MERGED.fastq.gz      BP14-006_S47_MERGED.fastq.gz  #>                         0.8363636                         1.0000000  #>       BQ3-019_S48_MERGED.fastq.gz     BQ4-018-B_S49_MERGED.fastq.gz  #>                         0.6388889                         0.9972900  #>     BQ4-018-H_S50_MERGED.fastq.gz     BQ4-018-M_S51_MERGED.fastq.gz  #>                         0.8363636                         0.7572016  #>    BQ9ABM-002_S52_MERGED.fastq.gz       BR8-005_S53_MERGED.fastq.gz  #>                         0.7572016                         0.9972900  #>      BS14-006_S54_MERGED.fastq.gz      BT-006-M_S55_MERGED.fastq.gz  #>                         0.9972900                         1.0000000  #>       BT7-006_S56_MERGED.fastq.gz    BV11-002-B_S57_MERGED.fastq.gz  #>                         1.0000000                         0.8363636  #>    BV11-002-H_S58_MERGED.fastq.gz    BV11-002-M_S59_MERGED.fastq.gz  #>                         0.7572016                         0.6388889  #>       BW8-003_S60_MERGED.fastq.gz        C1-001_S61_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>     C21-NV1-B_S62_MERGED.fastq.gz     C21-NV1-H_S63_MERGED.fastq.gz  #>                         0.8363636                         0.7572016  #>     C21-NV1-M_S64_MERGED.fastq.gz        C9-005_S65_MERGED.fastq.gz  #>                         0.6388889                         0.7572016  #>      CA12-024_S66_MERGED.fastq.gz       CA9-027_S67_MERGED.fastq.gz  #>                         0.6388889                         0.6388889  #>         CA9-X_S68_MERGED.fastq.gz     CB8-019-B_S69_MERGED.fastq.gz  #>                         0.8363636                         0.6388889  #>     CB8-019-H_S70_MERGED.fastq.gz     CB8-019-M_S71_MERGED.fastq.gz  #>                         0.8363636                         0.7572016  #>       CB9-013_S72_MERGED.fastq.gz       CC3-044_S73_MERGED.fastq.gz  #>                         0.7572016                         0.8363636  #>       CC8-003_S74_MERGED.fastq.gz       D17-011_S77_MERGED.fastq.gz  #>                         0.6388889                         0.9972900  #>     D18-003-B_S78_MERGED.fastq.gz     D18-003-H_S79_MERGED.fastq.gz  #>                         0.7572016                         0.7572016  #>     D18-003-M_S80_MERGED.fastq.gz    D22-NVABM1_S81_MERGED.fastq.gz  #>                         0.6388889                         0.7572016  #>     D61-010-B_S82_MERGED.fastq.gz      D9-027-B_S83_MERGED.fastq.gz  #>                         0.7572016                         1.0000000  #>      D9-027-H_S84_MERGED.fastq.gz      D9-027-M_S85_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>   DBM-ABM-001_S86_MERGED.fastq.gz     DJ2-008-B_S87_MERGED.fastq.gz  #>                         1.0000000                         0.8363636  #>     DJ2-008-H_S88_MERGED.fastq.gz     DJ2-008-M_S89_MERGED.fastq.gz  #>                         0.6388889                         0.8363636  #>    DP4-ABM001_S90_MERGED.fastq.gz  DS1-ABM002-B_S91_MERGED.fastq.gz  #>                         0.7572016                         0.6388889  #>  DS1-ABM002-H_S92_MERGED.fastq.gz  DS1-ABM002-M_S93_MERGED.fastq.gz  #>                         0.6388889                         0.7572016  #>     DU3-045-B_S94_MERGED.fastq.gz       DW4-007_S95_MERGED.fastq.gz  #>                         0.9972900                         0.7572016  #>     DY5-004-B_S96_MERGED.fastq.gz     DY5-004-H_S97_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>     DY5-004-M_S98_MERGED.fastq.gz   DZ6-ABM-001_S99_MERGED.fastq.gz  #>                         1.0000000                         0.6388889  #>     E9-009-B_S100_MERGED.fastq.gz     E9-009-H_S101_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>     E9-009-M_S102_MERGED.fastq.gz  EA5-ABM-001_S103_MERGED.fastq.gz  #>                         1.0000000                         0.8363636  #>    EC2-013-B_S104_MERGED.fastq.gz   F6-ABM-001_S105_MERGED.fastq.gz  #>                         0.6388889                         0.6388889  #>     F7-015-M_S106_MERGED.fastq.gz    FOMES19-H_S108_MERGED.fastq.gz  #>                         0.6388889                         1.0000000  #>    FOMES19-M_S109_MERGED.fastq.gz    H10-018-M_S110_MERGED.fastq.gz  #>                         1.0000000                         0.8363636  #> H24-NVABM1-H_S111_MERGED.fastq.gz    J18-004-B_S114_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>    J18-004-H_S115_MERGED.fastq.gz    J18-004-M_S116_MERGED.fastq.gz  #>                         0.6388889                         1.0000000  #>    K18-002-H_S117_MERGED.fastq.gz   K26-NVABM1_S118_MERGED.fastq.gz  #>                         0.8363636                         0.7572016  #>       L19X-B_S119_MERGED.fastq.gz       L19X-H_S120_MERGED.fastq.gz  #>                         0.6388889                         0.8363636  #>       L19X-M_S121_MERGED.fastq.gz    L23-002-B_S122_MERGED.fastq.gz  #>                         0.9972900                         1.0000000  #>    L23-002-H_S123_MERGED.fastq.gz    L23-002-M_S124_MERGED.fastq.gz  #>                         0.6388889                         1.0000000  #>      M22-001_S125_MERGED.fastq.gz       N19X-B_S126_MERGED.fastq.gz  #>                         0.7572016                         1.0000000  #>       N19X-H_S127_MERGED.fastq.gz       N19X-M_S128_MERGED.fastq.gz  #>                         1.0000000                         0.9972900  #>    N22-001-B_S129_MERGED.fastq.gz    N23-002-B_S130_MERGED.fastq.gz  #>                         0.6388889                         0.7572016  #>    N23-002-H_S131_MERGED.fastq.gz     N25-ABMX_S133_MERGED.fastq.gz  #>                         1.0000000                         0.6388889  #>   NVABM-0058_S134_MERGED.fastq.gz NVABM-0163-H_S135_MERGED.fastq.gz  #>                         0.9972900                         0.6388889  #>   NVABM-0397_S138_MERGED.fastq.gz    NVABM0216_S136_MERGED.fastq.gz  #>                         0.8363636                         0.6388889  #>  NVABM0244-M_S137_MERGED.fastq.gz      O20-X-B_S139_MERGED.fastq.gz  #>                         0.6388889                         0.7572016  #>      O20-X-H_S140_MERGED.fastq.gz      O20-X-M_S141_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>    O21-007-B_S142_MERGED.fastq.gz    O21-007-H_S143_MERGED.fastq.gz  #>                         0.6388889                         0.6388889  #>    O21-007-M_S144_MERGED.fastq.gz    O24-003-B_S145_MERGED.fastq.gz  #>                         0.6388889                         1.0000000  #>    O24-003-H_S146_MERGED.fastq.gz    O24-003-M_S147_MERGED.fastq.gz  #>                         0.7572016                         1.0000000  #>    O26-004-B_S148_MERGED.fastq.gz    O26-004-H_S149_MERGED.fastq.gz  #>                         0.6388889                         0.6388889  #>    O26-004-M_S150_MERGED.fastq.gz      O27-012_S151_MERGED.fastq.gz  #>                         0.6388889                         0.7572016  #>     O9-005-B_S152_MERGED.fastq.gz    P19-023-M_S153_MERGED.fastq.gz  #>                         1.0000000                         0.6388889  #>    P27-015-M_S154_MERGED.fastq.gz   P27-ABM001_S155_MERGED.fastq.gz  #>                         0.6388889                         0.6388889  #> Q27-ABM003-B_S156_MERGED.fastq.gz     R25-ABMX_S157_MERGED.fastq.gz  #>                         0.7572016                         0.8363636  #>    R28-008-B_S158_MERGED.fastq.gz    R28-008-H_S159_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>    R28-008-M_S160_MERGED.fastq.gz      T28-011_S161_MERGED.fastq.gz  #>                         1.0000000                         0.7572016  #> T28-ABM602-B_S162_MERGED.fastq.gz   U27-ABM002_S163_MERGED.fastq.gz  #>                         0.6388889                         0.8363636  #>     W25-ABMX_S164_MERGED.fastq.gz    W26-001-B_S165_MERGED.fastq.gz  #>                         0.7572016                         1.0000000  #>    W26-001-H_S166_MERGED.fastq.gz    W26-001-M_S167_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>      W30-006_S168_MERGED.fastq.gz     W9-025-M_S169_MERGED.fastq.gz  #>                         0.7572016                         0.6388889  #>    X24-009-B_S170_MERGED.fastq.gz    X24-009-H_S171_MERGED.fastq.gz  #>                         1.0000000                         0.6388889  #>    X24-009-M_S172_MERGED.fastq.gz      X24-010_S173_MERGED.fastq.gz  #>                         0.6388889                         0.6388889  #>    X29-004-B_S174_MERGED.fastq.gz    X29-004-H_S175_MERGED.fastq.gz  #>                         0.6388889                         0.8363636  #>    X29-004-M_S176_MERGED.fastq.gz Y21-ABM484-H_S177_MERGED.fastq.gz  #>                         1.0000000                         0.9972900  #>    Y28-002-B_S178_MERGED.fastq.gz    Y28-002-H_S179_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>    Y28-002-M_S180_MERGED.fastq.gz    Y29-007-B_S181_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>    Y29-007-H_S182_MERGED.fastq.gz    Y29-007-M_S183_MERGED.fastq.gz  #>                         1.0000000                         0.6388889  #> Y31-ABM484-B_S184_MERGED.fastq.gz    Z29-001-H_S185_MERGED.fastq.gz  #>                         0.6388889                         0.9972900  #>      Z30-002_S186_MERGED.fastq.gz Z30-ABM560-M_S187_MERGED.fastq.gz  #>                         1.0000000                         1.0000000  #>  #> $method #> [1] \"jaccard\"      \"sqrt.D=FALSE\" #>  #> $note #> [1] \"Info -- D is Euclidean because beta.div outputs D[jk] = sqrt(1-S[jk])\" #> [2] \"For this D functions, use beta.div with option sqrt.D=FALSE\"           #>  #> $D #> [1] NA #>  #> attr(,\"class\") #> [1] \"beta.div\""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/MiscMetabar-deprecated.html","id":null,"dir":"Reference","previous_headings":"","what":"Deprecated function(s) in the MiscMetabar package — MiscMetabar-deprecated","title":"Deprecated function(s) in the MiscMetabar package — MiscMetabar-deprecated","text":"functions provided compatibility older version MiscMetabar package. may eventually completely removed.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/MiscMetabar-deprecated.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Deprecated function(s) in the MiscMetabar package — MiscMetabar-deprecated","text":"","code":"physeq_graph_test(...)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/MiscMetabar-deprecated.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Deprecated function(s) in the MiscMetabar package — MiscMetabar-deprecated","text":"... Parameters passed modern version function","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/MiscMetabar-deprecated.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Deprecated function(s) in the MiscMetabar package — MiscMetabar-deprecated","text":"Depend functions.","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/MiscMetabar-package.html","id":null,"dir":"Reference","previous_headings":"","what":"MiscMetabar package — MiscMetabar-package","title":"MiscMetabar package — MiscMetabar-package","text":"Functions help analyze visualize metabarcoding data. Mainly based phyloseq dada2 packages.","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/SRS_curve_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Scaling with ranked subsampling (SRS) curve of phyloseq object — SRS_curve_pq","text":"","code":"SRS_curve_pq(physeq, clean_pq = FALSE, ...)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/SRS_curve_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Scaling with ranked subsampling (SRS) curve of phyloseq object — SRS_curve_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. clean_pq (logical): phyloseq object cleaned using clean_pq() function? ... arguments passed SRS::SRScurve()","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/SRS_curve_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Scaling with ranked subsampling (SRS) curve of phyloseq object — SRS_curve_pq","text":"plot","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/Tengeler2020_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"This tutorial explore the dataset from Tengeler et al. (2020) available in the mia package.\nobtain using mia::makePhyloseqFromTreeSE(Tengeler2020) — Tengeler2020_pq","title":"This tutorial explore the dataset from Tengeler et al. (2020) available in the mia package.\nobtain using mia::makePhyloseqFromTreeSE(Tengeler2020) — Tengeler2020_pq","text":"phyloseq version Tengeler2020 dataset.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/Tengeler2020_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"This tutorial explore the dataset from Tengeler et al. (2020) available in the mia package.\nobtain using mia::makePhyloseqFromTreeSE(Tengeler2020) — Tengeler2020_pq","text":"","code":"data(Tengeler2020_pq)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/Tengeler2020_pq.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"This tutorial explore the dataset from Tengeler et al. (2020) available in the mia package.\nobtain using mia::makePhyloseqFromTreeSE(Tengeler2020) — Tengeler2020_pq","text":"phyloseq object","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/Tengeler2020_pq.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"This tutorial explore the dataset from Tengeler et al. (2020) available in the mia package.\nobtain using mia::makePhyloseqFromTreeSE(Tengeler2020) — Tengeler2020_pq","text":"Tengeler2020 includes gut microbiota profiles 27 persons ADHD. standard bioinformatic statistical analysis done demonstrate altered microbial composition driver altered brain structure function concomitant changes animals behavior. investigated colonizing young, male, germ-free C57BL/6JOlaHsd mice microbiota individuals without ADHD. Tengeler, .C., Dam, S.., Wiesmann, M. et al. Gut microbiota persons attention-deficit/hyperactivity disorder affects brain mice. Microbiome 8, 44 (2020). https://microbiomejournal.biomedcentral.com/articles/10.1186/s40168-020-00816-x","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/accu_plot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot accumulation curves for phyloseq-class object — accu_plot","text":"","code":"accu_plot(   physeq,   fact = NULL,   add_nb_seq = TRUE,   step = NULL,   by.fact = FALSE,   ci_col = NULL,   col = NULL,   lwd = 3,   leg = TRUE,   print_sam_names = FALSE,   ci = 2,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/accu_plot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot accumulation curves for phyloseq-class object — accu_plot","text":"physeq (required): phyloseq-class object obtained using phyloseq package. fact (required) Name factor physeq@sam_data used plot different lines add_nb_seq (default: TRUE, logical) Either plot accumulation curves using sequences using samples step (Integer) distance among points calculated plot lines. low value give better plot time consuming. used add_nb_seq = TRUE. .fact (default: FALSE, logical) First merge OTU table factor plot one line factor ci_col Color vector confidence interval. use add_nb_seq = FALSE. add_nb_seq = TRUE, can use ggplot modify plot. col Color vector lines. use add_nb_seq = FALSE. add_nb_seq = TRUE, can use ggplot modify plot. lwd (default: 3) thickness lines. use add_nb_seq = FALSE. leg (default: TRUE, logical) Plot legend . use add_nb_seq = FALSE. print_sam_names (default: FALSE, logical) Print samples names ? use add_nb_seq = TRUE. ci (default: 2, integer) Confidence interval value used multiply standard error plot confidence interval ... Additional arguments passed ggplot add_nb_seq = TRUE plot add_nb_seq = FALSE","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/accu_plot.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot accumulation curves for phyloseq-class object — accu_plot","text":"ggplot2 plot representing richness accumulation plot add_nb_seq = TRUE, else, add_nb_seq = FALSE return base plot.","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/accu_plot.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot accumulation curves for phyloseq-class object — accu_plot","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/accu_plot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot accumulation curves for phyloseq-class object — accu_plot","text":"","code":"data(\"GlobalPatterns\", package = \"phyloseq\") GP <- subset_taxa(GlobalPatterns, GlobalPatterns@tax_table[, 1] == \"Archaea\") #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ GP <- rarefy_even_depth(subset_samples_pq(GP, sample_sums(GP) > 3000)) #> You set `rngseed` to FALSE. Make sure you've set & recorded #>  the random seed of your session for reproducibility. #> See `?set.seed` #> ... #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> 56OTUs were removed because they are no longer  #> present in any sample after random subsampling #> ... #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ p <- accu_plot(GP, \"SampleType\", add_nb_seq = TRUE, by.fact = TRUE, step = 10) p <- accu_plot(GP, \"SampleType\", add_nb_seq = TRUE, step = 10) #> Warning: no non-missing arguments to max; returning -Inf  p + theme(legend.position = \"none\") #> Warning: Removed 8 rows containing missing values (`geom_line()`).   p + xlim(c(0, 400)) #> Warning: Removed 3256 rows containing missing values (`geom_line()`)."},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/accu_samp_threshold.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute the number of sequence to obtain a given proportion of ASV in\naccumulation curves — accu_samp_threshold","text":"","code":"accu_samp_threshold(res_accuplot, threshold = 0.95)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/accu_samp_threshold.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute the number of sequence to obtain a given proportion of ASV in\naccumulation curves — accu_samp_threshold","text":"res_accuplot result function accu_plot() threshold proportion ASV obtain samples","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/accu_samp_threshold.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute the number of sequence to obtain a given proportion of ASV in\naccumulation curves — accu_samp_threshold","text":"value samples number sequences needed obtain threshold proportion ASV","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/accu_samp_threshold.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Compute the number of sequence to obtain a given proportion of ASV in\naccumulation curves — accu_samp_threshold","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/accu_samp_threshold.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compute the number of sequence to obtain a given proportion of ASV in\naccumulation curves — accu_samp_threshold","text":"","code":"data(\"GlobalPatterns\", package = \"phyloseq\") GP <- subset_taxa(GlobalPatterns, GlobalPatterns@tax_table[, 1] == \"Archaea\") #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ GP <- rarefy_even_depth(subset_samples_pq(GP, sample_sums(GP) > 3000)) #> You set `rngseed` to FALSE. Make sure you've set & recorded #>  the random seed of your session for reproducibility. #> See `?set.seed` #> ... #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ #> 72OTUs were removed because they are no longer  #> present in any sample after random subsampling #> ... #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ p <- accu_plot(GP, \"SampleType\", add_nb_seq = TRUE, by.fact = TRUE, step = 10)  val_threshold <- accu_samp_threshold(p)  summary(val_threshold) #>    Min. 1st Qu.  Median    Mean 3rd Qu.    Max.  #>    3661    6084    6976    6814    7706    9641   # Plot the number of sequences needed to accumulate 0.95% of ASV in 50%, 75% # and 100% of samples p + geom_vline(xintercept = quantile(val_threshold, probs = c(0.50, 0.75, 1))) #> Warning: Removed 1 row containing missing values (`geom_line()`)."},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_blast_info.html","id":null,"dir":"Reference","previous_headings":"","what":"Add information from blast_pq() to the tax_table slot of a phyloseq object — add_blast_info","title":"Add information from blast_pq() to the tax_table slot of a phyloseq object — add_blast_info","text":"Basically wrapper blast_pq() option unique_per_seq = TRUE score_filter = FALSE. Add information taxtable","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_blast_info.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add information from blast_pq() to the tax_table slot of a phyloseq object — add_blast_info","text":"","code":"add_blast_info(physeq, fasta_for_db, silent = FALSE, ...)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_blast_info.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add information from blast_pq() to the tax_table slot of a phyloseq object — add_blast_info","text":"physeq (required): phyloseq-class object obtained using phyloseq package. fasta_for_db path fasta file make blast database silent (logical) true, message printing. ... arguments passed blast_pq() function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_blast_info.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add information from blast_pq() to the tax_table slot of a phyloseq object — add_blast_info","text":"physeq object information tax_table based blast given database","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_blast_info.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Add information from blast_pq() to the tax_table slot of a phyloseq object — add_blast_info","text":"Adrien Taudière","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_dna_to_phyloseq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add dna in refseq slot of a physeq object using taxa names and renames taxa\nusing ASV_1, ASV_2, … — add_dna_to_phyloseq","text":"","code":"add_dna_to_phyloseq(physeq)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_dna_to_phyloseq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add dna in refseq slot of a physeq object using taxa names and renames taxa\nusing ASV_1, ASV_2, … — add_dna_to_phyloseq","text":"physeq (required): phyloseq-class object obtained using phyloseq package.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_dna_to_phyloseq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add dna in refseq slot of a physeq object using taxa names and renames taxa\nusing ASV_1, ASV_2, … — add_dna_to_phyloseq","text":"new phyloseq-class object refseq slot new taxa names","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_funguild_info.html","id":null,"dir":"Reference","previous_headings":"","what":"Add information about Guild for FUNGI the FUNGuild databse — add_funguild_info","title":"Add information about Guild for FUNGI the FUNGuild databse — add_funguild_info","text":"Please cite Nguyen et al. 2016 (doi:10.1016/j.funeco.2015.06.006 )","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_funguild_info.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add information about Guild for FUNGI the FUNGuild databse — add_funguild_info","text":"","code":"add_funguild_info(   physeq,   taxLevels = c(\"Kingdom\", \"Phylum\", \"Class\", \"Order\", \"Family\", \"Genus\", \"Species\") )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_funguild_info.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add information about Guild for FUNGI the FUNGuild databse — add_funguild_info","text":"physeq (required): phyloseq-class object obtained using phyloseq package. taxLevels Name 7 columns tax_table required funguild","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_funguild_info.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add information about Guild for FUNGI the FUNGuild databse — add_funguild_info","text":"new object class physeq Guild information added tax_table slot","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_funguild_info.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Add information about Guild for FUNGI the FUNGuild databse — add_funguild_info","text":"function mainly wrapper work others. Please make reference FUNGuildR package associate publication use function.","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_funguild_info.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Add information about Guild for FUNGI the FUNGuild databse — add_funguild_info","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_funguild_info.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Add information about Guild for FUNGI the FUNGuild databse — add_funguild_info","text":"","code":"df <- subset_taxa_pq(data_fungi, taxa_sums(data_fungi) > 5000) #> Cleaning suppress 0 taxa (  ) and 8 sample(s) ( C21-NV1-M_S64_MERGED.fastq.gz / DY5-004-M_S98_MERGED.fastq.gz / E9-009-B_S100_MERGED.fastq.gz / N22-001-B_S129_MERGED.fastq.gz / O20-X-B_S139_MERGED.fastq.gz / O21-007-M_S144_MERGED.fastq.gz / W26-001-M_S167_MERGED.fastq.gz / Y29-007-H_S182_MERGED.fastq.gz ). #> Number of non-matching ASV 0 #> Number of matching ASV 1420 #> Number of filtered-out ASV 1337 #> Number of kept ASV 83 #> Number of kept samples 177 if (FALSE) { df <- add_funguild_info(df,   taxLevels = c(     \"Domain\", \"Phylum\", \"Class\", \"Order\",     \"Family\", \"Genus\", \"Species\"   ) ) sort(table(df@tax_table[, \"guild\"]), decreasing = TRUE) }"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_info_to_sam_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Add information to sample_data slot of a phyloseq-class object — add_info_to_sam_data","title":"Add information to sample_data slot of a phyloseq-class object — add_info_to_sam_data","text":"Warning: value nb_seq nb_otu may outdated transform phyloseq object, e.g. using subset_taxa_pq() function","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_info_to_sam_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add information to sample_data slot of a phyloseq-class object — add_info_to_sam_data","text":"","code":"add_info_to_sam_data(   physeq,   df_info = NULL,   add_nb_seq = TRUE,   add_nb_otu = TRUE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_info_to_sam_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add information to sample_data slot of a phyloseq-class object — add_info_to_sam_data","text":"physeq (required): phyloseq-class object obtained using phyloseq package. df_info : dataframe rownames matching sample names phyloseq object add_nb_seq (Logical, default TRUE) add column nb_seq collecting number sequences per sample? add_nb_otu (Logical, default TRUE) add column nb_otu collecting number OTUs per sample?","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_info_to_sam_data.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add information to sample_data slot of a phyloseq-class object — add_info_to_sam_data","text":"phyloseq object updated sam_data slot","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_info_to_sam_data.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Add information to sample_data slot of a phyloseq-class object — add_info_to_sam_data","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_info_to_sam_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Add information to sample_data slot of a phyloseq-class object — add_info_to_sam_data","text":"","code":"data_fungi <- add_info_to_sam_data(data_fungi) boxplot(data_fungi@sam_data$nb_otu ~ data_fungi@sam_data$Time)   new_df <- data.frame(   variable_1 = runif(n = nsamples(data_fungi), min = 1, max = 20),   variable_2 = runif(n = nsamples(data_fungi), min = 1, max = 2) ) rownames(new_df) <- sample_names(data_fungi) data_fungi <- add_info_to_sam_data(data_fungi, new_df) plot(data_fungi@sam_data$nb_otu ~ data_fungi@sam_data$variable_1)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_new_taxonomy_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Add new taxonomic rank to a phyloseq object. — add_new_taxonomy_pq","title":"Add new taxonomic rank to a phyloseq object. — add_new_taxonomy_pq","text":"One main use function add taxonomic assignment new database.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_new_taxonomy_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add new taxonomic rank to a phyloseq object. — add_new_taxonomy_pq","text":"","code":"add_new_taxonomy_pq(physeq, ref_fasta, suffix = NULL, ...)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_new_taxonomy_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add new taxonomic rank to a phyloseq object. — add_new_taxonomy_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. ref_fasta (required) link database. Pass dada2::assignTaxonomy. suffix (character) suffix name new columns. set NULL (default), basename file reFasta used. ... Others arguments pass dada2::assignTaxonomy.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_new_taxonomy_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add new taxonomic rank to a phyloseq object. — add_new_taxonomy_pq","text":"physeq object larger slot tax_table","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/add_new_taxonomy_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Add new taxonomic rank to a phyloseq object. — add_new_taxonomy_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/adonis_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Permanova on a phyloseq object — adonis_pq","title":"Permanova on a phyloseq object — adonis_pq","text":"wrapper vegan::adonis2() function case physeq object.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/adonis_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Permanova on a phyloseq object — adonis_pq","text":"","code":"adonis_pq(   physeq,   formula,   dist_method = \"bray\",   merge_sample_by = NULL,   na_remove = FALSE,   correction_for_sample_size = FALSE,   rarefy_nb_seqs = FALSE,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/adonis_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Permanova on a phyloseq object — adonis_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. formula (required) right part formula vegan::adonis2(). Variables must present physeq@sam_data slot. dist_method (default \"bray\") distance used. See phyloseq::distance() available distances run phyloseq::distanceMethodList(). aitchison robust.aitchison distance, vegan::vegdist() function directly used. merge_sample_by vector determine samples merge using merge_samples2() function. Need physeq@sam_data na_remove (logical, default FALSE) set TRUE, remove samples NA variables set formula. correction_for_sample_size (logical, default FALSE) set TRUE, sample size (number sequences samples) add formula form y~Library_Size + Biological_Effect following recommendation Weiss et al. 2017. correction_for_sample_size overcome rarefy_nb_seqs TRUE. rarefy_nb_seqs (logical, default FALSE) Rarefy sample (merging merge_sample_by set) using phyloseq::rarefy_even_depth(). correction_for_sample_size TRUE, rarefy_nb_seqs effect. ... arguments passed vegan::adonis2() function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/adonis_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Permanova on a phyloseq object — adonis_pq","text":"function returns anova.cca result object new column partial R^2. See help vegan::adonis2() information.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/adonis_pq.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Permanova on a phyloseq object — adonis_pq","text":"function mainly wrapper work others. Please make reference vegan::adonis2() use function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/adonis_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Permanova on a phyloseq object — adonis_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/adonis_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Permanova on a phyloseq object — adonis_pq","text":"","code":"data(enterotype) adonis_pq(enterotype, \"SeqTech*Enterotype\", na_remove = TRUE) #> Taxa are now in columns. #> [1] \"SeqTech\" #> [1] \"Enterotype\" #> 9 were discarded due to NA in variables present in formula. #> Permutation test for adonis under reduced model #> Terms added sequentially (first to last) #> Permutation: free #> Number of permutations: 999 #>  #> vegan::adonis2(formula = .formula, data = metadata) #>                     Df SumOfSqs      R2        F Pr(>F)     #> SeqTech              2   29.175 0.54055 242.2289  0.001 *** #> Enterotype           2    8.651 0.16028  71.8250  0.001 *** #> SeqTech:Enterotype   4    0.368 0.00683   1.5293  0.103     #> Residual           262   15.778 0.29234                     #> Total              270   53.972 1.00000                     #> --- #> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 adonis_pq(enterotype, \"SeqTech\") #> Taxa are now in columns. #> Permutation test for adonis under reduced model #> Terms added sequentially (first to last) #> Permutation: free #> Number of permutations: 999 #>  #> vegan::adonis2(formula = .formula, data = metadata) #>           Df SumOfSqs      R2      F Pr(>F)     #> SeqTech    2   30.538 0.53153 157.14  0.001 *** #> Residual 277   26.915 0.46847                   #> Total    279   57.453 1.00000                   #> --- #> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 adonis_pq(enterotype, \"SeqTech\", dist_method = \"jaccard\") #> Taxa are now in columns. #> Permutation test for adonis under reduced model #> Terms added sequentially (first to last) #> Permutation: free #> Number of permutations: 999 #>  #> vegan::adonis2(formula = .formula, data = metadata) #>           Df SumOfSqs      R2      F Pr(>F)     #> SeqTech    2   31.330 0.40211 93.147  0.001 *** #> Residual 277   46.585 0.59789                   #> Total    279   77.915 1.00000                   #> --- #> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 adonis_pq(enterotype, \"SeqTech\", dist_method = \"robust.aitchison\") #> Taxa are now in columns. #> Permutation test for adonis under reduced model #> Terms added sequentially (first to last) #> Permutation: free #> Number of permutations: 999 #>  #> vegan::adonis2(formula = .formula, data = metadata) #>           Df SumOfSqs      R2      F Pr(>F)     #> SeqTech    2    83943 0.71401 345.79  0.001 *** #> Residual 277    33622 0.28599                   #> Total    279   117565 1.00000                   #> --- #> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/all_object_size.html","id":null,"dir":"Reference","previous_headings":"","what":"List the size of all objects of the GlobalEnv. — all_object_size","title":"List the size of all objects of the GlobalEnv. — all_object_size","text":"Code https://tolstoy.newcastle.edu.au/R/e6/help/09/01/1121.html","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/all_object_size.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"List the size of all objects of the GlobalEnv. — all_object_size","text":"","code":"all_object_size()"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/all_object_size.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"List the size of all objects of the GlobalEnv. — all_object_size","text":"list size","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ancombc_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Run ANCOMBC2 on phyloseq object — ancombc_pq","title":"Run ANCOMBC2 on phyloseq object — ancombc_pq","text":"wrapper ANCOMBC::ancombc2() function","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ancombc_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run ANCOMBC2 on phyloseq object — ancombc_pq","text":"","code":"ancombc_pq(physeq, fact, levels_fact = NULL, tax_level = \"Class\", ...)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ancombc_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run ANCOMBC2 on phyloseq object — ancombc_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. fact (required) Name factor physeq@sam_data used plot different lines levels_fact (default NULL) order level factor. Used reorder levels select levels (filter levels present en levels_fact) tax_level taxonomic level passed ANCOMBC::ancombc2() ... arguments passed ANCOMBC::ancombc2() function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ancombc_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run ANCOMBC2 on phyloseq object — ancombc_pq","text":"result ANCOMBC::ancombc2() function","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ancombc_pq.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Run ANCOMBC2 on phyloseq object — ancombc_pq","text":"function mainly wrapper work others. Please make reference ANCOMBC::ancombc2() use function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ancombc_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Run ANCOMBC2 on phyloseq object — ancombc_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ancombc_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run ANCOMBC2 on phyloseq object — ancombc_pq","text":"","code":"res_height <- ancombc_pq(   data_fungi_mini,   fact = \"Height\",   levels_fact = c(\"Low\", \"High\"),   verbose = TRUE ) #> Warning: The group variable has < 3 categories  #> The multi-group comparisons (global/pairwise/dunnet/trend) will be deactivated #> Warning: The number of taxa used for estimating sample-specific biases is: 11 #> A large number of taxa (>50) is required for the consistent estimation of biases #> Obtaining initial estimates ... #> Estimating sample-specific biases ... #> Loading required package: foreach #> Loading required package: rngtools #> Warning: Estimation of sampling fractions failed for the following samples: #> B18-006-B_S19_MERGED.fastq.gz, DY5-004-B_S96_MERGED.fastq.gz, W26-001-B_S165_MERGED.fastq.gz, X24-009-B_S170_MERGED.fastq.gz, X29-004-B_S174_MERGED.fastq.gz, Y28-002-B_S178_MERGED.fastq.gz, Z29-001-H_S185_MERGED.fastq.gz #> These samples may have an excessive number of zero values #> Sensitivity analysis for pseudo-count addition to 0s: ... #> ANCOM-BC2 primary results ...  ggplot(   res_height$res,   aes(     y = reorder(taxon, lfc_HeightHigh),     x = lfc_HeightHigh,     color = diff_HeightHigh   ) ) +   geom_vline(xintercept = 0) +   geom_segment(aes(     xend = 0, y = reorder(taxon, lfc_HeightHigh),     yend = reorder(taxon, lfc_HeightHigh)   ), color = \"darkgrey\") +   geom_point()   res_time <- ancombc_pq(   data_fungi_mini,   fact = \"Time\",   levels_fact = c(\"0\", \"15\"),   tax_level = \"Family\",   verbose = TRUE ) #> Warning: The group variable has < 3 categories  #> The multi-group comparisons (global/pairwise/dunnet/trend) will be deactivated #> Warning: The number of taxa used for estimating sample-specific biases is: 9 #> A large number of taxa (>50) is required for the consistent estimation of biases #> Obtaining initial estimates ... #> Estimating sample-specific biases ... #> Warning: Estimation of sampling fractions failed for the following samples: #> BT-006-M_S55_MERGED.fastq.gz, C21-NV1-B_S62_MERGED.fastq.gz, CB8-019-H_S70_MERGED.fastq.gz, DY5-004-B_S96_MERGED.fastq.gz, DY5-004-H_S97_MERGED.fastq.gz, J18-004-M_S116_MERGED.fastq.gz, W26-001-B_S165_MERGED.fastq.gz, X24-009-B_S170_MERGED.fastq.gz #> These samples may have an excessive number of zero values #> Sensitivity analysis for pseudo-count addition to 0s: ... #> ANCOM-BC2 primary results ..."},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/are_modality_even_depth.html","id":null,"dir":"Reference","previous_headings":"","what":"Test if the mean number of sequences by samples is link to the modality of\na factor — are_modality_even_depth","title":"Test if the mean number of sequences by samples is link to the modality of\na factor — are_modality_even_depth","text":"aim function provide warnings samples depth significantly vary among modalities factor present sam_data slot. function apply Kruskal-Wallis rank sum test number sequences per samples function factor fact.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/are_modality_even_depth.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Test if the mean number of sequences by samples is link to the modality of\na factor — are_modality_even_depth","text":"","code":"are_modality_even_depth(physeq, fact, boxplot = FALSE)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/are_modality_even_depth.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Test if the mean number of sequences by samples is link to the modality of\na factor — are_modality_even_depth","text":"physeq (required): phyloseq-class object obtained using phyloseq package. fact (required): Name factor cluster samples modalities. Need physeq@sam_data. boxplot (logical) want plot boxplot?","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/are_modality_even_depth.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Test if the mean number of sequences by samples is link to the modality of\na factor — are_modality_even_depth","text":"result Kruskal-Wallis rank sum test","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/are_modality_even_depth.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Test if the mean number of sequences by samples is link to the modality of\na factor — are_modality_even_depth","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/are_modality_even_depth.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Test if the mean number of sequences by samples is link to the modality of\na factor — are_modality_even_depth","text":"","code":"are_modality_even_depth(data_fungi, \"Time\")$p.value #> [1] 2.047777e-13 are_modality_even_depth(rarefy_even_depth(data_fungi), \"Time\")$p.value #> You set `rngseed` to FALSE. Make sure you've set & recorded #>  the random seed of your session for reproducibility. #> See `?set.seed` #> ... #> 1031OTUs were removed because they are no longer  #> present in any sample after random subsampling #> ... #> All modality were undoubtedly rarefy in the physeq object. #> [1] 1 are_modality_even_depth(data_fungi, \"Height\", boxplot = TRUE)  #>  #> \tKruskal-Wallis rank sum test #>  #> data:  nb_seq by fact #> Kruskal-Wallis chi-squared = 1.5366, df = 2, p-value = 0.4638 #>"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/as_binary_otu_table.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Transform the otu_table of a phyloseq-class object into a\nphyloseq-class object with a binary otu_table. — as_binary_otu_table","text":"","code":"as_binary_otu_table(physeq, min_number = 1)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/as_binary_otu_table.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Transform the otu_table of a phyloseq-class object into a\nphyloseq-class object with a binary otu_table. — as_binary_otu_table","text":"physeq (required): phyloseq-class object obtained using phyloseq package. min_number (int) minimum number sequences put 1 otu table.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/as_binary_otu_table.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Transform the otu_table of a phyloseq-class object into a\nphyloseq-class object with a binary otu_table. — as_binary_otu_table","text":"physeq object 0/1 OTU table","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/as_binary_otu_table.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Transform the otu_table of a phyloseq-class object into a\nphyloseq-class object with a binary otu_table. — as_binary_otu_table","text":"Useful test results biased sequences bias appended PCR NGS pipeline.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/as_binary_otu_table.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Transform the otu_table of a phyloseq-class object into a\nphyloseq-class object with a binary otu_table. — as_binary_otu_table","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/as_binary_otu_table.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Transform the otu_table of a phyloseq-class object into a\nphyloseq-class object with a binary otu_table. — as_binary_otu_table","text":"","code":"data(enterotype) enterotype_bin <- as_binary_otu_table(enterotype)"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/asv2otu.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Recluster sequences of an object of class physeq\nor a list of DNA sequences — asv2otu","text":"","code":"asv2otu(   physeq = NULL,   dna_seq = NULL,   nproc = 1,   method = \"clusterize\",   id = 0.97,   vsearchpath = \"vsearch\",   tax_adjust = 0,   vsearch_cluster_method = \"--cluster_size\",   vsearch_args = \"--strand both\",   keep_temporary_files = FALSE,   swarmpath = \"swarm\",   d = 1,   swarm_args = \"--fastidious\",   method_clusterize = \"overlap\",   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/asv2otu.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Recluster sequences of an object of class physeq\nor a list of DNA sequences — asv2otu","text":"physeq (required): phyloseq-class object obtained using phyloseq package. dna_seq may directly use character vector DNA sequences place physeq args. physeq set, dna sequences take value physeq@refseq nproc (default: 1) Set number cpus/processors use clustering method (default: clusterize) Set clustering method. clusterize use DECIPHER::Clusterize() fonction, vsearch use vsearch software (https://github.com/torognes/vsearch) arguments --cluster_size default (see args vsearch_cluster_method) -strand (see args vsearch_args) swarm use swarm id (default: 0.97) level identity cluster vsearchpath (default: vsearch) path vsearch tax_adjust (Default 0) See man page merge_taxa_vec() details. conserved taxonomic rank abundant ASV, set tax_adjust 0 (default). moment tax_adjust = 0 robust vsearch_cluster_method (default: \"--cluster_size) See possible methods vsearch manual (e.g. --cluster_size --cluster_smallmem) --cluster_fast : Clusterize fasta sequences filename, automatically sort decreasing sequence length beforehand. --cluster_size : Clusterize fasta sequences filename, automatically sort decreasing sequence abundance beforehand. --cluster_smallmem : Clusterize fasta sequences filename without automatically modifying order beforehand. Sequence expected sorted decreasing sequence length, unless --usersort used. case may set vsearch_args vsearch_args = \"--strand --usersort\" vsearch_args (default : \"--strand \") one length character element defining parameters passed vsearch. keep_temporary_files (logical, default: FALSE) keep temporary files temp.fasta (refseq fasta dna_seq sequences) cluster.fasta (centroid method = \"vsearch\") temp.uc (clusters method = \"vsearch\") swarmpath (default: swarm) path swarm d (default: 1) maximum number differences allowed two amplicons, meaning two amplicons grouped d (less) differences swarm_args (default : \"--fastidious\") one length character element defining parameters  passed swarm See possible methods SWARM pdf manual method_clusterize (default \"overlap\") method DECIPHER::Clusterize() method ... Others arguments passed DECIPHER::Clusterize()","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/asv2otu.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Recluster sequences of an object of class physeq\nor a list of DNA sequences — asv2otu","text":"new object class physeq list cluster dna_seq args used.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/asv2otu.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Recluster sequences of an object of class physeq\nor a list of DNA sequences — asv2otu","text":"function use merge_taxa_vec function merge taxa clusters. default tax_adjust = 0. See man page merge_taxa_vec().","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/asv2otu.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Recluster sequences of an object of class physeq\nor a list of DNA sequences — asv2otu","text":"VSEARCH can downloaded https://github.com/torognes/vsearch. information associated publication https://pubmed.ncbi.nlm.nih.gov/27781170.","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/asv2otu.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Recluster sequences of an object of class physeq\nor a list of DNA sequences — asv2otu","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/asv2otu.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Recluster sequences of an object of class physeq\nor a list of DNA sequences — asv2otu","text":"","code":"asv2otu(data_fungi_mini) #> Partitioning sequences by 3-mer similarity: #> ================================================================================ #> Time difference of 0.02 secs #>  #> Sorting by relatedness within 23 groups: #>  iteration 1 of up to 10 (100.0% stability)  #>  #> Time difference of 0.01 secs #>  #> Clustering sequences by 8-mer similarity: #> Warning: object 'temp' not found #> ================================================================================ #>  #> Time difference of 0.06 secs #>  #> Clusters via relatedness sorting: 100% (0% exclusively) #> Clusters via rare 3-mers: 100% (0% exclusively) #> Estimated clustering effectiveness: 100% #>  #> phyloseq-class experiment-level object #> otu_table()   OTU Table:         [ 32 taxa and 137 samples ] #> sample_data() Sample Data:       [ 137 samples by 7 sample variables ] #> tax_table()   Taxonomy Table:    [ 32 taxa by 12 taxonomic ranks ] #> refseq()      DNAStringSet:      [ 32 reference sequences ] asv2otu(data_fungi_mini, method_clusterize = \"longest\") #> Partitioning sequences by 3-mer similarity: #> ================================================================================ #> Time difference of 0.02 secs #>  #> Sorting by relatedness within 23 groups: #>  iteration 1 of up to 10 (100.0% stability)  #>  #> Time difference of 0.01 secs #>  #> Clustering sequences by 8-mer similarity: #> Warning: object 'temp' not found #> ================================================================================ #>  #> Time difference of 0.06 secs #>  #> Clusters via relatedness sorting: 100% (0% exclusively) #> Clusters via rare 3-mers: 100% (0% exclusively) #> Estimated clustering effectiveness: 100% #>  #> phyloseq-class experiment-level object #> otu_table()   OTU Table:         [ 32 taxa and 137 samples ] #> sample_data() Sample Data:       [ 137 samples by 7 sample variables ] #> tax_table()   Taxonomy Table:    [ 32 taxa by 12 taxonomic ranks ] #> refseq()      DNAStringSet:      [ 32 reference sequences ] if (MiscMetabar:::is_swarm_installed()) {   d_swarm <- asv2otu(data_fungi_mini, method = \"swarm\") } if (MiscMetabar:::is_vsearch_installed()) {   d_vs <- asv2otu(data_fungi_mini, method = \"vsearch\") }"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/biplot_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Visualization of two samples for comparison — biplot_pq","text":"","code":"biplot_pq(   physeq,   fact = NULL,   merge_sample_by = NULL,   rarefy_after_merging = FALSE,   inverse_side = FALSE,   left_name = NULL,   left_name_col = \"#4B3E1E\",   left_fill = \"#4B3E1E\",   left_col = \"#f3f2d9\",   right_name = NULL,   right_name_col = \"#1d2949\",   right_fill = \"#1d2949\",   right_col = \"#1d2949\",   log10trans = TRUE,   nudge_y = c(0.3, 0.3),   geom_label = FALSE,   text_size = 3,   size_names = 5,   y_names = NA,   ylim_modif = c(1, 1),   nb_samples_info = TRUE,   plotly_version = FALSE,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/biplot_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Visualization of two samples for comparison — biplot_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. fact (default: NULL) Name factor physeq@sam_data. left NULL use left_name right_name parameter modality. merge_sample_by (default: NULL) NULL samples physeq merged using vector set merge_sample_by. merging used merge_samples2(). case biplot_pq() must factor two levels . rarefy_after_merging Rarefy sample merging modalities merge_sample_by inverse_side Inverse side (put right modality left side). left_name Name fo left sample. left_name_col Color left name left_fill Fill fo left sample. left_col Color fo left sample. right_name Name fo right sample. right_name_col Color right name right_fill Fill fo right sample. right_col Color fo right sample. log10trans (logical) abundancy log10 transformed ? nudge_y parameter control y position abundancy values. vector two values set. first value left side. second value right one. one value set, value used side. geom_label (default: FALSE, logical) TRUE use ggplot2::geom_label() function instead ggplot2::geom_text() indicate numbers sequences. text_size size number sequences size_names size names 2 samples y_names y position names 2 samples. NA (default), computed using maximum abundances values. ylim_modif vector two values. Modificator (multiplication) ylim. one value set, value used limits. nb_samples_info (default: TRUE, logical) TRUE merge_sample_by set, add number samples merged levels. plotly_version TRUE, use plotly::ggplotly() return interactive ggplot. ... arguments ggplot function","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/biplot_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Visualization of two samples for comparison — biplot_pq","text":"plot","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/biplot_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Visualization of two samples for comparison — biplot_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/biplot_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Visualization of two samples for comparison — biplot_pq","text":"","code":"data_fungi_2Height <- subset_samples(data_fungi, Height %in% c(\"Low\", \"High\")) biplot_pq(data_fungi_2Height, \"Height\", merge_sample_by = \"Height\") #> Cleaning suppress 256 taxa and 0 samples. #> Scale for y is already present. #> Adding another scale for y, which will replace the existing scale. #> Warning: Removed 1 rows containing missing values (`geom_rect()`)."},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/blast_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Blast all sequence of refseq slot of a phyloseq-class\nobject against a custom database. — blast_pq","text":"","code":"blast_pq(   physeq,   fasta_for_db = NULL,   database = NULL,   blastpath = NULL,   id_cut = 90,   bit_score_cut = 50,   min_cover_cut = 50,   e_value_cut = 1e-30,   unique_per_seq = FALSE,   score_filter = TRUE,   nproc = 1,   args_makedb = NULL,   args_blastn = NULL,   keep_temporary_files = FALSE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/blast_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Blast all sequence of refseq slot of a phyloseq-class\nobject against a custom database. — blast_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. fasta_for_db path fasta file make blast database database path blast database blastpath path blast program id_cut (default: 90) cut identity percent keep result bit_score_cut (default: 50) cut bit score keep result higher bit-score, better sequence similarity. bit-score requires size sequence database current match found just chance. bit-score log2 scaled normalized raw-score. increase one doubles required database size (2bit-score). min_cover_cut (default: 50) cut query cover (%) keep result e_value_cut (default: 1e-30)  cut e-value (%) keep result BLAST E-value number expected hits similar quality (score) found just chance. unique_per_seq (logical, default FALSE) TRUE return better match (higher bit score) sequence score_filter (logical, default TRUE) results filter score? FALSE, id_cut,bit_score_cut, e_value_cut min_cover_cut ignored nproc (default: 1) Set number cpus/processors use blast (args -num_threads blastn command) args_makedb Additional parameters parse makeblastdb command args_blastn Additional parameters parse blastn command keep_temporary_files (logical, default: FALSE) keep temporary files db.fasta (refseq transformed database) dbase list files (output blastn) blast_result.txt summary result blastn using -outfmt \"6 qseqid qlen sseqid slen length pident evalue bitscore qcovs\"","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/blast_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Blast all sequence of refseq slot of a phyloseq-class\nobject against a custom database. — blast_pq","text":"blast table","code":""},{"path":[]},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/blast_to_derep.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Blast some sequence against sequences from of a derep-class\nobject. — blast_to_derep","text":"","code":"blast_to_derep(   derep,   seq2search,   blastpath = NULL,   id_cut = 90,   bit_score_cut = 50,   min_cover_cut = 50,   e_value_cut = 1e-30,   unique_per_seq = FALSE,   score_filter = FALSE,   list_no_output_query = FALSE,   min_length_seq = 200,   args_makedb = NULL,   args_blastn = NULL,   nproc = 1,   keep_temporary_files = FALSE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/blast_to_derep.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Blast some sequence against sequences from of a derep-class\nobject. — blast_to_derep","text":"derep result dada2::derepFastq(). list derep-class object. seq2search (required) path fasta file defining sequences want blast ASV sequences physeq object. blastpath path blast program id_cut (default: 90) cut identity percent keep result bit_score_cut (default: 50) cut bit score keep result higher bit-score, better sequence similarity. bit-score requires size sequence database current match found just chance. bit-score log2 scaled normalized raw-score. increase one doubles required database size (2bit-score). min_cover_cut (default: 50) cut query cover (%) keep result e_value_cut (default: 1e-30)  cut e-value (%) keep result BLAST E-value number expected hits similar quality (score) found just chance. unique_per_seq (logical, default FALSE) TRUE return better match (higher bit score) sequence score_filter (logical, default TRUE) results filter score? FALSE, id_cut,bit_score_cut, e_value_cut min_cover_cut ignored list_no_output_query (logical) result table include query sequences blastn find correspondence? min_length_seq (default: 200) Removed sequences less min_length_seq derep blast. Set 0 discard filtering sequences length. args_makedb Additional parameters parse makeblastdb command args_blastn Additional parameters parse blastn command nproc (default: 1) Set number cpus/processors use blast (args -num_threads blastn command) keep_temporary_files (logical, default: FALSE) keep temporary files : db.fasta (refseq transformed database) dbase list files (output blastn) blast_result.txt summary result blastn using -outfmt \"6 qseqid qlen sseqid slen length pident evalue bitscore qcovs\"","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/blast_to_derep.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Blast some sequence against sequences from of a derep-class\nobject. — blast_to_derep","text":"blast table","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/blast_to_derep.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Blast some sequence against sequences from of a derep-class\nobject. — blast_to_derep","text":"Adrien Taudière","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/blast_to_phyloseq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Blast some sequence against refseq slot of a phyloseq-class\nobject. — blast_to_phyloseq","text":"","code":"blast_to_phyloseq(   physeq,   seq2search,   blastpath = NULL,   id_cut = 90,   bit_score_cut = 50,   min_cover_cut = 50,   e_value_cut = 1e-30,   unique_per_seq = FALSE,   score_filter = TRUE,   list_no_output_query = FALSE,   args_makedb = NULL,   args_blastn = NULL,   nproc = 1,   keep_temporary_files = FALSE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/blast_to_phyloseq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Blast some sequence against refseq slot of a phyloseq-class\nobject. — blast_to_phyloseq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. seq2search (required) path fasta file defining sequences want blast ASV sequences physeq object. blastpath path blast program id_cut (default: 90) cut identity percent keep result bit_score_cut (default: 50) cut bit score keep result higher bit-score, better sequence similarity. bit-score requires size sequence database current match found just chance. bit-score log2 scaled normalized raw-score. increase one doubles required database size (2bit-score). min_cover_cut (default: 50) cut query cover (%) keep result e_value_cut (default: 1e-30)  cut e-value (%) keep result BLAST E-value number expected hits similar quality (score) found just chance. unique_per_seq (logical, default FALSE) TRUE return better match (higher bit score) sequence score_filter (logical, default TRUE) results filter score? FALSE, id_cut,bit_score_cut, e_value_cut min_cover_cut ignored list_no_output_query (logical) result table include query sequences blastn find correspondence? args_makedb Additional parameters parse makeblastdb command args_blastn Additional parameters parse blastn command nproc (default: 1) Set number cpus/processors use blast (args -num_threads blastn command) keep_temporary_files (logical, default: FALSE) keep temporary files db.fasta (refseq transformed database) dbase list files (output blastn) blast_result.txt summary result blastn using -outfmt \"6 qseqid qlen sseqid slen length pident evalue bitscore qcovs\"","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/blast_to_phyloseq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Blast some sequence against refseq slot of a phyloseq-class\nobject. — blast_to_phyloseq","text":"blast table","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/blast_to_phyloseq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Blast some sequence against refseq slot of a phyloseq-class\nobject. — blast_to_phyloseq","text":"","code":"if (FALSE) {  blastpath <- \"...YOUR_PATH_TO_BLAST...\" blast_to_phyloseq(data_fungi,   seq2search = system.file(\"extdata\", \"ex.fasta\",     package = \"MiscMetabar\", mustWork = TRUE   ),   blastpath = blastpath ) }"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/build_phytree_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Build phylogenetic trees from refseq slot of a phyloseq object — build_phytree_pq","title":"Build phylogenetic trees from refseq slot of a phyloseq object — build_phytree_pq","text":"function build tree phylogenetic tree nb_bootstrap set, build also 3 corresponding bootstrapped tree. Default parameters based doi:10.12688/f1000research.8986.2  phangorn vignette Estimating phylogenetic trees phangorn. understand data, especially markers, using function. Note phylogenetic reconstruction markers used metabarcoding robust. must verify robustness phylogenetic tree using taxonomic classification (see vignette Tree visualization) bootstrap multi-tree visualization","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/build_phytree_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Build phylogenetic trees from refseq slot of a phyloseq object — build_phytree_pq","text":"","code":"build_phytree_pq(   physeq,   nb_bootstrap = 0,   model = \"GTR\",   optInv = TRUE,   optGamma = TRUE,   rearrangement = \"NNI\",   control = phangorn::pml.control(trace = 0),   optNni = TRUE,   multicore = FALSE,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/build_phytree_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Build phylogenetic trees from refseq slot of a phyloseq object — build_phytree_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. nb_bootstrap (default 0): positive number set, function also build 3 bootstrapped trees using nb_bootstrap bootstrap samples model allows choose amino acid models nucleotide model, see phangorn::optim.pml() details optInv Logical value indicating whether topology gets optimized (NNI). See phangorn::optim.pml() details optGamma Logical value indicating whether gamma rate parameter gets optimized. See phangorn::optim.pml() details rearrangement type tree tree rearrangements perform, one \"NNI\", \"stochastic\" \"ratchet\" see phangorn::optim.pml() details control list parameters controlling fitting process. see phangorn::optim.pml() details optNni Logical value indicating whether topology gets optimized (NNI). see phangorn::optim.pml() details multicore (logical) whether models estimated parallel. see phangorn::bootstrap.pml() details ... params passed phangorn::optim.pml() function","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/build_phytree_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Build phylogenetic trees from refseq slot of a phyloseq object — build_phytree_pq","text":"list phylogenetic tree","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/build_phytree_pq.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Build phylogenetic trees from refseq slot of a phyloseq object — build_phytree_pq","text":"function mainly wrapper work others. Please make reference phangorn package use function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/build_phytree_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Build phylogenetic trees from refseq slot of a phyloseq object — build_phytree_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/build_phytree_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Build phylogenetic trees from refseq slot of a phyloseq object — build_phytree_pq","text":"","code":"library(\"phangorn\") #> Loading required package: ape #>  #> Attaching package: ‘ape’ #> The following object is masked from ‘package:dplyr’: #>  #>     where  df <- subset_taxa_pq(data_fungi_mini, taxa_sums(data_fungi_mini) > 9000) #> Cleaning suppress 0 taxa (  ) and 6 sample(s) ( AD26-005-H_S10_MERGED.fastq.gz / CB8-019-H_S70_MERGED.fastq.gz / DY5-004-H_S97_MERGED.fastq.gz / N23-002-B_S130_MERGED.fastq.gz / NVABM0244-M_S137_MERGED.fastq.gz / T28-ABM602-B_S162_MERGED.fastq.gz ). #> Number of non-matching ASV 0 #> Number of matching ASV 45 #> Number of filtered-out ASV 23 #> Number of kept ASV 22 #> Number of kept samples 131 df_tree <- build_phytree_pq(df, nb_bootstrap = 2) #> Determining distance matrix based on shared 8-mers: #> ================================================================================ #>  #> Time difference of 0 secs #>  #> Clustering into groups by similarity: #> ================================================================================ #>  #> Time difference of 0.01 secs #>  #> Aligning Sequences: #> ================================================================================ #>  #> Time difference of 0.15 secs #>  #> Iteration 1 of 2: #>  #> Determining distance matrix based on alignment: #> ================================================================================ #>  #> Time difference of 0 secs #>  #> Reclustering into groups by similarity: #> ================================================================================ #>  #> Time difference of 0.01 secs #>  #> Realigning Sequences: #> ================================================================================ #>  #> Time difference of 0.1 secs #>  #> Iteration 2 of 2: #>  #> Determining distance matrix based on alignment: #> ================================================================================ #>  #> Time difference of 0 secs #>  #> Reclustering into groups by similarity: #> ================================================================================ #>  #> Time difference of 0 secs #>  #> Realigning Sequences: #> ================================================================================ #>  #> Time difference of 0.01 secs #>  #> Refining the alignment: #> ================================================================================ #>  #> Time difference of 0.03 secs #>  #> optimize edge weights:  -4286.922 --> -4180.495  #> optimize edge weights:  -4180.495 --> -4180.495  #> optimize topology:  -4180.495 --> -4173.752  NNI moves:  2  #> optimize edge weights:  -4173.752 --> -4173.751  #> optimize topology:  -4173.751 --> -4173.751  NNI moves:  0  #> optimize edge weights:  -4173.751 --> -4173.751  #> optimize edge weights:  -4002.298 --> -3883.836  #> optimize edge weights:  -3883.836 --> -3883.836  #> optimize topology:  -3883.836 --> -3878.833  NNI moves:  1  #> optimize edge weights:  -3878.833 --> -3878.832  #> optimize topology:  -3878.832 --> -3878.832  NNI moves:  0  #> optimize edge weights:  -3878.832 --> -3878.832  plot(df_tree$UPGMA)  plotBS(df_tree$UPGMA, df_tree$UPGMA_bs, main = \"UPGMA\")  plot(df_tree$NJ, \"unrooted\")  plot(df_tree$ML)  # plotBS(df_tree$ML_bs) plotBS(df_tree$ML$tree, df_tree$ML_bs, p = 20, frame = \"circle\")  plotBS(   df_tree$ML$tree,   df_tree$ML_bs,   p = 20,   frame = \"circle\",   method = \"TBE\" )  plot(consensusNet(df_tree$ML_bs))  plot(consensusNet(df_tree$NJ_bs))  ps_tree <- merge_phyloseq(df, df_tree$ML$tree) #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/chimera_detection_vs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Detect for chimera taxa using vsearch — chimera_detection_vs","text":"","code":"chimera_detection_vs(   seq2search,   nb_seq,   vsearchpath = \"vsearch\",   abskew = 2,   min_seq_length = 100,   vsearch_args = \"--fasta_width 0\",   keep_temporary_files = FALSE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/chimera_detection_vs.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Detect for chimera taxa using vsearch — chimera_detection_vs","text":"seq2search (required) list DNA sequences coercible function Biostrings::DNAStringSet() nb_seq (required) numeric vector giving number sequences DNA sequences vsearchpath (default: vsearch) path vsearch abskew (int, default 2) abundance skew used distinguish three way alignment sequence chimera parents. assumption chimeras appear later PCR amplification process therefore less abundant parents. default value 2.0, means parents least 2 times abundant chimera. positive value equal greater 1.0 can used. min_seq_length (int, default 100)) Minimum length sequences part analysis vsearch_args (default \"--fasta_width 0\") list args vsearch command keep_temporary_files (logical, default: FALSE) keep temporary files ? non_chimeras.fasta chimeras.fasta borderline.fasta","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/chimera_detection_vs.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Detect for chimera taxa using vsearch — chimera_detection_vs","text":"list 3 including non-chimera taxa ($non_chimera), chimera taxa ($chimera) bordeline taxa ($borderline)","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/chimera_detection_vs.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Detect for chimera taxa using vsearch — chimera_detection_vs","text":"function mainly wrapper work others. Please make vsearch.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/chimera_detection_vs.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Detect for chimera taxa using vsearch — chimera_detection_vs","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/chimera_detection_vs.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Detect for chimera taxa using vsearch — chimera_detection_vs","text":"","code":"chimera_detection_vs(   seq2search = data_fungi@refseq,   nb_seq = taxa_sums(data_fungi) ) #> Filtering for sequences under 100 bp remove a total of 0 ( 0 %) unique sequences for a total of 0 sequences removed ( 0 %) #> $non_chimera #> AAStringSet object of length 1051: #>        width seq                                            names                #>    [1]   312 AAATGCGATAAGTAATGTGAAT...TAGGAATACCCGCTGAACTTA ASV1;size=92884 #>    [2]   301 AAATGCGATAAGTAATGTGAAT...TAGGAATACCCGCTGAACTTA ASV2;size=53538 #>    [3]   349 AAATGCGATAAGTAATGTGAAT...TGGGACTACCCGCTGAACTTA ASV3;size=47410 #>    [4]   357 AAATGCGATAAGTAATGTGAAT...TGGGACTACCCGCTGAACTTA ASV4;size=46857 #>    [5]   300 AAATGCGATAAGTAATGTGAAT...TAGGAATACCCGCTGAACTTA ASV5;size=41082 #>    ...   ... ... #> [1047]   260 AAACGCGAAAAGTGTTATGATG...AAGATCACCCGCTGAACTTAA ASV1420;size=2 #> [1048]   365 AAATGCGATAAGTAATGTGAAT...TAGGACTACCCGCTGAACTTA ASV602;size=2 #> [1049]   344 AAATGCGATAAGTAATGTGAAT...TAGGAATACGCGCTGAACTTA ASV1142;size=1 #> [1050]   290 GAAATGCGATAAGTAATGTGAA...TAGGGATACCCGCTGAACTTA ASV246;size=1 #> [1051]   318 GAAATGCGATACGTAATGTGAA...AGGGATACCCGCTGAACTTAA ASV412;size=1 #>  #> $chimera #> AAStringSet object of length 242: #>       width seq                                             names                #>   [1]   341 GAAATGCGATAAGTAATGTGAA...GTAGGATTACCCGCTGAACTTA ASV136;size=2743 #>   [2]   307 AAATGCGATAAGTAATGTGAAT...GTAGGGATACCCGCTGAACTTA ASV163;size=2028 #>   [3]   339 AAATGCGATAAGTAATGTGAAT...GTAGGATTACCCGCTGAACTTA ASV206;size=1471 #>   [4]   312 AAATGCGATAAGTAATGTGAAT...GTAGGAATACCCGCTGAACTTA ASV286;size=875 #>   [5]   306 AAATGCGAAAAGTAGTGTGAAT...GTAGGGATACCCGCTGAACTTA ASV294;size=832 #>   ...   ... ... #> [238]   303 GAAATGCGATACTTGGTGTGAA...GTGGGACTACCCGCTGAACTTA ASV1390;size=29 #> [239]   293 GAACTACGATAAGTAATGTGAA...TAGGGATACCCGCTGAACTTAA ASV1395;size=25 #> [240]   301 AAATGCGAAAAGTAGTGTGAAT...TAGGGATACCCGCTGAACTTAA ASV1407;size=18 #> [241]   382 AAATGCGATAAATAATATGAAT...GCAAGATTACCCGCTGAACTTA ASV1411;size=12 #> [242]   287 GAAATGCGATAAGTAATGTGAA...TAGGGCTACCCGCTGAACTTAA ASV789;size=2 #>  #> $borderline #> AAStringSet object of length 127: #>       width seq                                             names                #>   [1]   344 AAATGCGATAAGTAATGTGAAT...GTAGGACTACCCGCTGAACTTA ASV74;size=5699 #>   [2]   298 AAATGCGATAAGTAATGTGAAT...GTAGGGATACCCGCTGAACTTA ASV123;size=3164 #>   [3]   300 AAATGCGATAAGTAATGTGAAT...GTAGGGATACCCGCTGAACTTA ASV139;size=2712 #>   [4]   304 AAATGCGATAAGTAATGTGAAT...GTAGGACTACCCGCTGAACTTA ASV141;size=2611 #>   [5]   295 AAATGCGATAAGTAATGTGAAT...GTAGGGATACCCGCTGAACTTA ASV153;size=2294 #>   ...   ... ... #> [123]   330 AAACGCGATAGGTAATGTGAAT...GTAGGACTACCCGCTGAACTTA ASV1292;size=62 #> [124]   332 AAATGCGATAAGTAATGTGAAT...GTAGGAATACCCGCTGAACTTA ASV1353;size=48 #> [125]   300 GAAATGCGATAAGTAATGCGAA...GTAGGGATACCCGCTGAACTTA ASV1384;size=31 #> [126]   302 GAAATGCGATACGTAATGTGAA...TAGGAATACCCGCTGAACTTAA ASV1388;size=29 #> [127]   316 GAAATGCGATAAATAATATGAA...ACAAGATTACCCGCTGAACTTA ASV1399;size=22 #>"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/chimera_removal_vs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Search for a list of sequence in an object to remove chimera taxa\nusing vsearch — chimera_removal_vs","text":"","code":"chimera_removal_vs(object, type = \"Discard_only_chim\", clean_pq = FALSE, ...)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/chimera_removal_vs.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Search for a list of sequence in an object to remove chimera taxa\nusing vsearch — chimera_removal_vs","text":"object (required) phyloseq-class object one dada, derep, data.frame list coercible sequences table using function dada2::makeSequenceTable() type (default \"Discard_only_chim\"). type define type filtering. \"Discard_only_chim\" discard taxa classify chimera vsearch \"Select_only_non_chim\" select taxa classify non-chimera vsearch(filtering taxa based sequence length parameter min_seq_length chimera_detection_vs() function) \"Select_only_chim\" select taxa classify chimera vsearch (filtering taxa based sequence length parameter min_seq_length chimera_detection_vs() function) clean_pq (logical; default FALSE) TRUE, return phyloseq object cleaning using default parameter clean_pq() function. ... Others arguments passed chimera_detection_vs() function","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/chimera_removal_vs.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Search for a list of sequence in an object to remove chimera taxa\nusing vsearch — chimera_removal_vs","text":"/ sequences tables () object class dada, derep, data.frame list. II/ phyloseq object without (type = 'Select_only_chim') chimeric taxa","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/chimera_removal_vs.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Search for a list of sequence in an object to remove chimera taxa\nusing vsearch — chimera_removal_vs","text":"function mainly wrapper work others. Please make vsearch.","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/chimera_removal_vs.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Search for a list of sequence in an object to remove chimera taxa\nusing vsearch — chimera_removal_vs","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/chimera_removal_vs.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Search for a list of sequence in an object to remove chimera taxa\nusing vsearch — chimera_removal_vs","text":"","code":"data_fungi_nochim <- chimera_removal_vs(data_fungi) #> Filtering for sequences under 100 bp remove a total of 0 ( 0 %) unique sequences for a total of 0 sequences removed ( 0 %) #> Cleaning suppress 0 taxa (  ) and 0 sample(s) (  ). #> Number of non-matching ASV 0 #> Number of matching ASV 1420 #> Number of filtered-out ASV 242 #> Number of kept ASV 1178 #> Number of kept samples 185 data_fungi_nochim_16 <- chimera_removal_vs(data_fungi,   abskew = 16,   min_seq_length = 10 ) #> Filtering for sequences under 10 bp remove a total of 0 ( 0 %) unique sequences for a total of 0 sequences removed ( 0 %) #> Cleaning suppress 0 taxa (  ) and 0 sample(s) (  ). #> Number of non-matching ASV 0 #> Number of matching ASV 1420 #> Number of filtered-out ASV 161 #> Number of kept ASV 1259 #> Number of kept samples 185 data_fungi_nochim2 <-   chimera_removal_vs(data_fungi, type = \"Select_only_non_chim\") #> Filtering for sequences under 100 bp remove a total of 0 ( 0 %) unique sequences for a total of 0 sequences removed ( 0 %) #> Cleaning suppress 0 taxa (  ) and 0 sample(s) (  ). #> Number of non-matching ASV 0 #> Number of matching ASV 1420 #> Number of filtered-out ASV 369 #> Number of kept ASV 1051 #> Number of kept samples 185 data_fungi_chimera <-   chimera_removal_vs(data_fungi, type = \"Select_only_chim\") #> Filtering for sequences under 100 bp remove a total of 0 ( 0 %) unique sequences for a total of 0 sequences removed ( 0 %) #> Cleaning suppress 0 taxa (  ) and 14 sample(s) ( BA16-036bis_S20_MERGED.fastq.gz / C21-NV1-M_S64_MERGED.fastq.gz / CB8-019-B_S69_MERGED.fastq.gz / DY5-004-M_S98_MERGED.fastq.gz / E9-009-B_S100_MERGED.fastq.gz / H10-018-M_S110_MERGED.fastq.gz / N22-001-B_S129_MERGED.fastq.gz / N23-002-M_S132_MERGED.fastq.gz / O21-007-H_S143_MERGED.fastq.gz / O21-007-M_S144_MERGED.fastq.gz / O24-003-H_S146_MERGED.fastq.gz / X24-009-H_S171_MERGED.fastq.gz / Y28-002-B_S178_MERGED.fastq.gz / Y29-007-H_S182_MERGED.fastq.gz ). #> Number of non-matching ASV 0 #> Number of matching ASV 1420 #> Number of filtered-out ASV 1178 #> Number of kept ASV 242 #> Number of kept samples 171"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/circle_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot OTU circle for phyloseq-class object — circle_pq","text":"","code":"circle_pq(   physeq = NULL,   fact = NULL,   taxa = \"Order\",   nproc = 1,   add_nb_seq = TRUE,   rarefy = FALSE,   min_prop_tax = 0.01,   min_prop_mod = 0.1,   gap_degree = NULL,   start_degree = NULL,   row_col = NULL,   grid_col = NULL,   log10trans = FALSE,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/circle_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot OTU circle for phyloseq-class object — circle_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. fact (required) Name factor cluster samples modalities. Need physeq@sam_data. taxa (default: 'Order') Name taxonomic rank interest nproc (default 1) Set number cpus/processors use parallelization add_nb_seq (default: TRUE) Represent number sequences number OTUs (add_nb_seq = FALSE) rarefy (logical) samples modalities need rarefy order compare amount sequences? min_prop_tax (default: 0.01) minimum proportion taxon plotted min_prop_mod (default: 0.1) minimum proportion modalities plotted gap_degree Gap two neighbour sectors. can single value vector. vector, first value corresponds gap first sector. start_degree starting degree circle begins draw. Note degree measured standard polar coordinate means always reverse-clockwise. row_col Color vector row grid_col Grid colors correspond sectors. length vector either 1 number sectors. preferred grid_col named vector names correspond sectors. named vector, order grid_col corresponds order sectors. log10trans (logical) sequence log10 transformed (precisely log10(1+x))? ... Additional arguments passed chordDiagram circos.par","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/circle_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot OTU circle for phyloseq-class object — circle_pq","text":"chordDiagram plot representing distribution OTUs sequences different modalities factor fact","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/circle_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot OTU circle for phyloseq-class object — circle_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/circle_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot OTU circle for phyloseq-class object — circle_pq","text":"","code":"data(\"GlobalPatterns\", package = \"phyloseq\") GP <- subset_taxa(GlobalPatterns, GlobalPatterns@tax_table[, 1] == \"Archaea\") #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ circle_pq(GP, \"SampleType\") #> Only 4 modalities are plot (44.44%). Use 'min_prop_mod' to plot more samples. #> Only 5 taxa are plot (45.45%). Use 'min_prop_tax' to plot more taxa  # circle_pq(GP, \"SampleType\", add_nb_seq = FALSE) # circle_pq(GP, \"SampleType\", taxa = \"Class\")"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/clean_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Clean phyloseq object by removing empty samples and taxa — clean_pq","title":"Clean phyloseq object by removing empty samples and taxa — clean_pq","text":"addition, function check discrepancy (rename) () taxa names refseq, taxonomy table otu_table (ii) sample names sam_data otu_table.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/clean_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Clean phyloseq object by removing empty samples and taxa — clean_pq","text":"","code":"clean_pq(   physeq,   remove_empty_samples = TRUE,   remove_empty_taxa = TRUE,   clean_samples_names = TRUE,   silent = FALSE,   verbose = FALSE,   force_taxa_as_columns = FALSE,   force_taxa_as_rows = FALSE,   reorder_asv = FALSE,   rename_asv = FALSE,   simplify_taxo = FALSE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/clean_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Clean phyloseq object by removing empty samples and taxa — clean_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. remove_empty_samples (logical) want remove samples without sequences (done removing empty taxa) remove_empty_taxa (logical) want remove taxa without sequences (done removing empty samples) clean_samples_names (logical) want clean samples names? silent (logical) true, message printing. verbose (logical) Additional informations message verbose parameter overwrite silent parameter. force_taxa_as_columns (logical) true, taxa rows transpose otu_table set taxa_are_rows false force_taxa_as_rows (logical) true, taxa columns transpose otu_table set taxa_are_rows true reorder_asv (logical) TRUE otu_table ordered number sequences ASV (descending order). Default FALSE. rename_asv (logical) TRUE, ASV renamed position OTU_table (asv_1, asv_2, ...). Default FALSE. rename ASV true, ASV names verbose information can misleading. simplify_taxo (logical) TRUE, correct taxonomy_table using MiscMetabar::simplify_taxo() function","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/clean_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Clean phyloseq object by removing empty samples and taxa — clean_pq","text":"new phyloseq-class object","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/compare_pairs_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Compare samples in pairs using diversity and number of ASV including\nshared ASV. — compare_pairs_pq","title":"Compare samples in pairs using diversity and number of ASV including\nshared ASV. — compare_pairs_pq","text":"#'   moment refseq slot need Null.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/compare_pairs_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compare samples in pairs using diversity and number of ASV including\nshared ASV. — compare_pairs_pq","text":"","code":"compare_pairs_pq(   physeq = NULL,   bifactor = NULL,   modality = NULL,   merge_sample_by = NULL,   nb_min_seq = 0,   veg_index = \"shannon\",   na_remove = TRUE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/compare_pairs_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compare samples in pairs using diversity and number of ASV including\nshared ASV. — compare_pairs_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. bifactor (required) factor (present sam_data slot physeq object) presenting pair names modality name column sam_data slot physeq object split samples pairs merge_sample_by vector determine samples merge using merge_samples2() function. Need physeq@sam_data nb_min_seq minimum number sequences per sample count ASV/OTU veg_index (default: \"shannon\") index vegan::diversity function na_remove (logical, default TRUE) set TRUE, remove samples NA variables set bifactor, modality merge_sample_by. NA variables well managed even na_remove = FALSE, na_remove may useless.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/compare_pairs_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compare samples in pairs using diversity and number of ASV including\nshared ASV. — compare_pairs_pq","text":"tibble information number shared ASV, shared number sequences diversity","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/compare_pairs_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compare samples in pairs using diversity and number of ASV including\nshared ASV. — compare_pairs_pq","text":"","code":"data_fungi_low_high <- subset_samples(data_fungi, Height %in% c(\"Low\", \"High\")) compare_pairs_pq(data_fungi_low_high, bifactor = \"Height\", merge_sample_by = \"Height\") #> Cleaning suppress 0 taxa and 0 samples. #> # A tibble: 1 × 13 #>   modality nb_ASV_High nb_ASV_Low nb_shared_ASV div_High div_Low nb_shared_seq #>   <chr>          <dbl>      <dbl>         <dbl>    <dbl>   <dbl>         <dbl> #> 1 Height           919        963           718     4.53    4.46        671081 #> # ℹ 6 more variables: percent_shared_seq_High <dbl>, #> #   percent_shared_seq_Low <dbl>, percent_shared_ASV_High <dbl>, #> #   percent_shared_ASV_Low <dbl>, ratio_nb_High_Low <dbl>, #> #   ratio_div_High_Low <dbl> compare_pairs_pq(data_fungi_low_high,   bifactor = \"Height\",   merge_sample_by = \"Height\", modality = \"Time\" ) #> 11 were discarded due to NA in variable modality. #> Cleaning suppress 37 taxa and 0 samples. #> # A tibble: 4 × 13 #>   modality nb_ASV_High nb_ASV_Low nb_shared_ASV div_High div_Low nb_shared_seq #>   <chr>          <dbl>      <dbl>         <dbl>    <dbl>   <dbl>         <dbl> #> 1 0                324        383           188     3.44    3.11         92766 #> 2 5                488        444           224     3.86    3.73        138450 #> 3 10               239        359           138     2.85    3.35         67475 #> 4 15               365        490           217     3.03    3.46        195794 #> # ℹ 6 more variables: percent_shared_seq_High <dbl>, #> #   percent_shared_seq_Low <dbl>, percent_shared_ASV_High <dbl>, #> #   percent_shared_ASV_Low <dbl>, ratio_nb_High_Low <dbl>, #> #   ratio_div_High_Low <dbl>"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/count_seq.html","id":null,"dir":"Reference","previous_headings":"","what":"Count sequences in fasta or fastq file — count_seq","title":"Count sequences in fasta or fastq file — count_seq","text":"Use grep count number line one '+' (fastq, fastq.gz) lines starting '>' (fasta) count sequences.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/count_seq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Count sequences in fasta or fastq file — count_seq","text":"","code":"count_seq(file_path = NULL, folder_path = NULL, pattern = NULL)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/count_seq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Count sequences in fasta or fastq file — count_seq","text":"file_path path  fasta, fastq fastq.gz file folder_path path folder fasta, fastq fastq.gz files pattern pattern filter files folder. E.g. R2","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/count_seq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Count sequences in fasta or fastq file — count_seq","text":"number sequences","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/count_seq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Count sequences in fasta or fastq file — count_seq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/count_seq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Count sequences in fasta or fastq file — count_seq","text":"","code":"count_seq(file_path = system.file(   \"extdata\",   \"ex.fasta\",   package = \"MiscMetabar\",   mustWork = TRUE )) #> [1] 3 count_seq(folder_path = \"extdata/\", pattern = \"*.fasta\") #> numeric(0)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/cutadapt_remove_primers.html","id":null,"dir":"Reference","previous_headings":"","what":"Remove primers using cutadapt — cutadapt_remove_primers","title":"Remove primers using cutadapt — cutadapt_remove_primers","text":"need install Cutadapt","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/cutadapt_remove_primers.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Remove primers using cutadapt — cutadapt_remove_primers","text":"","code":"cutadapt_remove_primers(   path_to_fastq,   primer_fw = NULL,   primer_rev = NULL,   folder_output = \"wo_primers\",   nproc = 1,   pattern = \"fastq.gz\",   pattern_R1 = \"_R1\",   pattern_R2 = \"_R2\",   nb_files = Inf,   cmd_is_run = TRUE,   args_before_cutadapt =     \"source ~/miniconda3/etc/profile.d/conda.sh && conda activate cutadaptenv && \" )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/cutadapt_remove_primers.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Remove primers using cutadapt — cutadapt_remove_primers","text":"path_to_fastq (Required) path folder fastq files. See list_fastq_files() help. primer_fw (Required, String) forward primer DNA sequence. primer_rev (String)  reverse primer DNA sequence. folder_output path folder output files nproc (default 1) Set number cpus/processors use clustering pattern pattern filter files (passed list.files function). pattern_R1 pattern filter R1 files (default \"R1\") pattern_R2 pattern filter R2 files (default \"R2\") nb_files number fastq files list (default FALSE) cmd_is_run (logical, default TRUE) cutadapt command run. set FALSE, effect function return list command manually run terminal. args_before_cutadapt (String) one line bash command run run cutadapt. examples, \"source ~/miniconda3/etc/profile.d/conda.sh && conda activate cutadaptenv &&\" allow bypass conda init asks restart shell","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/cutadapt_remove_primers.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Remove primers using cutadapt — cutadapt_remove_primers","text":"list command ","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/cutadapt_remove_primers.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Remove primers using cutadapt — cutadapt_remove_primers","text":"function mainly wrapper work others. Please cite cutadapt (doi:10.14806/ej.17.1.200 ).","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/cutadapt_remove_primers.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Remove primers using cutadapt — cutadapt_remove_primers","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/cutadapt_remove_primers.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Remove primers using cutadapt — cutadapt_remove_primers","text":"","code":"if (FALSE) { cutadapt_remove_primers(\"inst/extdata\", \"TTC\", \"GAA\",   folder_output = tempdir() )   cutadapt_remove_primers(   system.file(\"extdata\",     package = \"dada2\"   ),   pattern_R1 = \"F.fastq.gz\",   pattern_R2 = \"R.fastq.gz\",   primer_fw = \"TTC\",   primer_rev = \"GAA\",   folder_output = tempdir() )  cutadapt_remove_primers(   system.file(\"extdata\",     package = \"dada2\"   ),   pattern_R1 = \"F.fastq.gz\",   primer_fw = \"TTC\",   folder_output = tempdir(),   cmd_is_run = FALSE )   unlink(tempdir(), recursive = TRUE) }"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/data_fungi.html","id":null,"dir":"Reference","previous_headings":"","what":"Fungal OTU in phyloseq format — data_fungi","title":"Fungal OTU in phyloseq format — data_fungi","text":"Fungal OTU phyloseq format","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/data_fungi.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fungal OTU in phyloseq format — data_fungi","text":"","code":"data(data_fungi)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/data_fungi.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Fungal OTU in phyloseq format — data_fungi","text":"physeq object containing 1420 taxa references sequences described 14 taxonomic ranks 185 samples described 7 sample variables: X: name fastq-file Sample_names: names ... samples Treename: name tree Sample_id: identifier sample Height: height sample tree Diameter: diameter trunk Time: time since dead tree","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/data_fungi_mini.html","id":null,"dir":"Reference","previous_headings":"","what":"Fungal OTU in phyloseq format — data_fungi_mini","title":"Fungal OTU in phyloseq format — data_fungi_mini","text":"subset data_fungi dataset including Basidiomycota 5000 sequences.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/data_fungi_mini.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fungal OTU in phyloseq format — data_fungi_mini","text":"","code":"data(data_fungi_mini)  data(data_fungi_mini)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/data_fungi_mini.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Fungal OTU in phyloseq format — data_fungi_mini","text":"physeq object containing 45 taxa references sequences described 14 taxonomic ranks 137 samples described 7 sample variables: X: name fastq-file Sample_names: names ... samples Treename: name tree Sample_id: identifier sample Height: height sample tree Diameter: diameter trunk Time: time since dead tree physeq object containing 45 taxa references sequences described 14 taxonomic ranks 137 samples described 7 sample variables: X: name fastq-file Sample_names: names ... samples Treename: name tree Sample_id: identifier sample Height: height sample tree Diameter: diameter trunk Time: time since dead tree","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/data_fungi_mini.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Fungal OTU in phyloseq format — data_fungi_mini","text":"Obtain using data_fungi_mini <- subset_taxa(data_fungi, Phylum == \"Basidiomycota\") data_fungi_mini <-   subset_taxa_pq(data_fungi_mini, colSums(data_fungi_mini@otu_table) > 5000)","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/data_fungi_sp_known.html","id":null,"dir":"Reference","previous_headings":"","what":"Fungal OTU in phyloseq format — data_fungi_sp_known","title":"Fungal OTU in phyloseq format — data_fungi_sp_known","text":"subset data_fungi dataset including taxa information species level","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/data_fungi_sp_known.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fungal OTU in phyloseq format — data_fungi_sp_known","text":"","code":"data(data_fungi_sp_known)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/data_fungi_sp_known.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Fungal OTU in phyloseq format — data_fungi_sp_known","text":"physeq object containing 651 taxa references sequences described 14 taxonomic ranks 185 samples described 7 sample variables: X: name fastq-file Sample_names: names ... samples Treename: name tree Sample_id: identifier sample Height: height sample tree Diameter: diameter trunk Time: time since dead tree","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/data_fungi_sp_known.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Fungal OTU in phyloseq format — data_fungi_sp_known","text":"Obtain using data_fungi_sp_known <- subset_taxa(data_fungi, !.na(data_fungi@tax_table[,\"Species\"]))","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/diff_fct_diff_class.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute different functions for different class of vector. — diff_fct_diff_class","title":"Compute different functions for different class of vector. — diff_fct_diff_class","text":"Mainly internal function useful \"lapply(..., tapply)\" methods","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/diff_fct_diff_class.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute different functions for different class of vector. — diff_fct_diff_class","text":"","code":"diff_fct_diff_class(   x,   numeric_fonction = mean,   logical_method = \"TRUE_if_one\",   character_method = \"unique_or_na\",   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/diff_fct_diff_class.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute different functions for different class of vector. — diff_fct_diff_class","text":"x : vector numeric_fonction : function numeric vector. ex. sum mean logical_method : method logical vector. One : TRUE_if_one (default) NA_if_not_all_TRUE FALSE_if_not_all_TRUE character_method : method character vector (factor). One : unique_or_na (default) more_frequent more_frequent_without_equality ... arguments passed numeric function (ex. na.rm=TRUE)","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/diff_fct_diff_class.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute different functions for different class of vector. — diff_fct_diff_class","text":"single value","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/diff_fct_diff_class.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Compute different functions for different class of vector. — diff_fct_diff_class","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/diff_fct_diff_class.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compute different functions for different class of vector. — diff_fct_diff_class","text":"","code":"diff_fct_diff_class(   data_fungi@sam_data$Sample_id,   numeric_fonction = sum,   na.rm = TRUE ) #> [1] 17852 diff_fct_diff_class(   data_fungi@sam_data$Time,   numeric_fonction = mean,   na.rm = TRUE ) #> [1] 5.802469 diff_fct_diff_class(   data_fungi@sam_data$Height == \"Low\",   logical_method = \"TRUE_if_one\" ) #> [1] TRUE diff_fct_diff_class(   data_fungi@sam_data$Height == \"Low\",   logical_method = \"NA_if_not_all_TRUE\" ) #> [1] NA diff_fct_diff_class(   data_fungi@sam_data$Height == \"Low\",   logical_method = \"FALSE_if_not_all_TRUE\" ) #> [1] FALSE diff_fct_diff_class(   data_fungi@sam_data$Height,   character_method = \"unique_or_na\" ) #> [1] NA diff_fct_diff_class(   c(\"IE\", \"IE\"),   character_method = \"unique_or_na\" ) #> [1] \"IE\" diff_fct_diff_class(   c(\"IE\", \"IE\", \"TE\", \"TE\"),   character_method = \"more_frequent\" ) #> [1] \"IE\" diff_fct_diff_class(   c(\"IE\", \"IE\", \"TE\", \"TE\"),   character_method = \"more_frequent_without_equality\" ) #> [1] NA"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/dist_bycol.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute paired distances among matrix (e.g. otu_table) — dist_bycol","text":"","code":"dist_bycol(x, y, method = \"bray\", nperm = 99, ...)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/dist_bycol.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute paired distances among matrix (e.g. otu_table) — dist_bycol","text":"x (required) first matrix. y (required) second matrix. method (default: 'bray') method use internally vegdist function. nperm (default: 99) number permutations ... others argument vegan::vegdist function","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/dist_bycol.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute paired distances among matrix (e.g. otu_table) — dist_bycol","text":"list length two : () vector observed distance ($obs) (ii) matrix distance randomization ($null)","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/dist_bycol.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Compute paired distances among matrix (e.g. otu_table) — dist_bycol","text":"first column first matrix compare first column second matrix, second column first matrix compare second column second matrix .","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/dist_bycol.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Compute paired distances among matrix (e.g. otu_table) — dist_bycol","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/dist_pos_control.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate ecological distance among positive controls vs\ndistance for all samples — dist_pos_control","title":"Calculate ecological distance among positive controls vs\ndistance for all samples — dist_pos_control","text":"Compute distance among positive controls, .e. samples duplicated test variation, example () step sampling, (ii) step extraction, (iii) step sequencing.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/dist_pos_control.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate ecological distance among positive controls vs\ndistance for all samples — dist_pos_control","text":"","code":"dist_pos_control(physeq, samples_names, method = \"bray\")"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/dist_pos_control.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate ecological distance among positive controls vs\ndistance for all samples — dist_pos_control","text":"physeq (required): phyloseq-class object obtained using phyloseq package. samples_names (required) vector names samples positives controls samples name method (default: \"bray\") method calculate distance, parsed vegan::vegdist(). See ?vegdist list possible values.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/dist_pos_control.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate ecological distance among positive controls vs\ndistance for all samples — dist_pos_control","text":"list two data-frames () distance among positive controls (ii) distance among samples","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/dist_pos_control.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Calculate ecological distance among positive controls vs\ndistance for all samples — dist_pos_control","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/dist_pos_control.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate ecological distance among positive controls vs\ndistance for all samples — dist_pos_control","text":"","code":"data(\"enterotype\") sam_name_factice <- gsub(\"TS1_V2\", \"TS10_V2\", sample_names(enterotype)) res_dist_cont <- dist_pos_control(enterotype, sam_name_factice) hist(unlist(res_dist_cont$distAllSamples)) abline(   v = mean(unlist(res_dist_cont$dist_controlontrolSamples), na.rm = TRUE),   col = \"red\", lwd = 3 )"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/filter_asv_blast.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Filter undesirable taxa using blast against a against a custom database. — filter_asv_blast","text":"","code":"filter_asv_blast(   physeq,   fasta_for_db = NULL,   database = NULL,   clean_pq = TRUE,   add_info_to_taxtable = TRUE,   id_filter = 90,   bit_score_filter = 50,   min_cover_filter = 50,   e_value_filter = 1e-30,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/filter_asv_blast.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Filter undesirable taxa using blast against a against a custom database. — filter_asv_blast","text":"physeq (required): phyloseq-class object obtained using phyloseq package. fasta_for_db path fasta file make blast database database path blast database clean_pq (logical) set TRUE, empty samples empty ASV discarded filtering. add_info_to_taxtable (logical, default TRUE) blast information added taxtable ? id_filter (default: 90) cut identity percent keep result bit_score_filter (default: 50) cut bit score keep result higher bit-score, better sequence similarity. bit-score requires size sequence database current match found just chance. bit-score log2 scaled normalized raw-score. increase one doubles required database size (2bit-score). min_cover_filter (default: 50) cut query cover (%) keep result e_value_filter (default: 1e-30)  cut e-value (%) keep result BLAST E-value number expected hits similar quality (score) found just chance. ... Others options blast_pq() function. See ?blast_pq. Note params unique_per_seq must lft TRUE score_filter must left FALSE.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/filter_asv_blast.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Filter undesirable taxa using blast against a against a custom database. — filter_asv_blast","text":"new phyloseq-class object.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/filter_trim.html","id":null,"dir":"Reference","previous_headings":"","what":"A wrapper of the function dada2::filterAndTrim() to use in\ntargets pipeline — filter_trim","title":"A wrapper of the function dada2::filterAndTrim() to use in\ntargets pipeline — filter_trim","text":"function filter trim (parameters passed dada2::filterAndTrim() function) forward sequences paired end sequence 'rev' parameter set. return list files subsequent analysis targets pipeline.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/filter_trim.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"A wrapper of the function dada2::filterAndTrim() to use in\ntargets pipeline — filter_trim","text":"","code":"filter_trim(   fw = NULL,   rev = NULL,   output_fw = paste(getwd(), \"/output/filterAndTrim_fwd\", sep = \"\"),   output_rev = paste(getwd(), \"/output/filterAndTrim_rev\", sep = \"\"),   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/filter_trim.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"A wrapper of the function dada2::filterAndTrim() to use in\ntargets pipeline — filter_trim","text":"fw (required) list forward fastq files rev list reverse fastq files paired end trimming output_fw Path output folder forward files. default, function create folder \"output/filterAndTrim_fwd\" current working directory. output_rev Path output folder reverse files. default, function create folder \"output/filterAndTrim_fwd\" current working directory. ... parameters passed dada2::filterAndTrim() function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/filter_trim.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"A wrapper of the function dada2::filterAndTrim() to use in\ntargets pipeline — filter_trim","text":"list files. rev set, return list two lists. first list list forward files, second one list reverse files.","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/filter_trim.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"A wrapper of the function dada2::filterAndTrim() to use in\ntargets pipeline — filter_trim","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/filter_trim.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"A wrapper of the function dada2::filterAndTrim() to use in\ntargets pipeline — filter_trim","text":"","code":"testFastqs_fw <- c(   system.file(\"extdata\", \"sam1F.fastq.gz\", package = \"dada2\"),   system.file(\"extdata\", \"sam2F.fastq.gz\", package = \"dada2\") ) testFastqs_rev <- c(   system.file(\"extdata\", \"sam1R.fastq.gz\", package = \"dada2\"),   system.file(\"extdata\", \"sam2R.fastq.gz\", package = \"dada2\") )  filt_fastq_fw <- filter_trim(testFastqs_fw, output_fw = tempdir()) derep_fw <- derepFastq(filt_fastq_fw[1]) derep_fw #> $sam1F.fastq.gz #> derep-class: R object describing dereplicated sequencing reads #> $uniques: 1500 reads in 896 unique sequences #>   Sequence lengths: min=250, median=250, max=250 #> $quals: Quality matrix dimension:  896 250 #>   Consensus quality scores: min=7, median=36, max=38 #> $map: Map from reads to unique sequences:  4 155 627 265 5 ... #>  #> $sam2F.fastq.gz #> derep-class: R object describing dereplicated sequencing reads #> $uniques: 1500 reads in 909 unique sequences #>   Sequence lengths: min=250, median=250, max=250 #> $quals: Quality matrix dimension:  909 250 #>   Consensus quality scores: min=7, median=36, max=38 #> $map: Map from reads to unique sequences:  890 14 2 246 797 ... #>   filt_fastq_pe <- filter_trim(testFastqs_fw,   testFastqs_rev,   output_fw = tempdir(\"fw\"),   output_rev = tempdir(\"rev\") ) derep_fw_pe <- derepFastq(filt_fastq_pe[[1]]) derep_rv_pe <- derepFastq(filt_fastq_pe[[2]]) derep_fw_pe #> $sam1F.fastq.gz #> derep-class: R object describing dereplicated sequencing reads #> $uniques: 1500 reads in 896 unique sequences #>   Sequence lengths: min=250, median=250, max=250 #> $quals: Quality matrix dimension:  896 250 #>   Consensus quality scores: min=7, median=36, max=38 #> $map: Map from reads to unique sequences:  4 155 627 265 5 ... #>  #> $sam1R.fastq.gz #> derep-class: R object describing dereplicated sequencing reads #> $uniques: 1500 reads in 1373 unique sequences #>   Sequence lengths: min=250, median=250, max=250 #> $quals: Quality matrix dimension:  1373 250 #>   Consensus quality scores: min=7, median=34, max=38 #> $map: Map from reads to unique sequences:  2 1029 664 983 156 ... #>  #> $sam2F.fastq.gz #> derep-class: R object describing dereplicated sequencing reads #> $uniques: 1500 reads in 909 unique sequences #>   Sequence lengths: min=250, median=250, max=250 #> $quals: Quality matrix dimension:  909 250 #>   Consensus quality scores: min=7, median=36, max=38 #> $map: Map from reads to unique sequences:  890 14 2 246 797 ... #>  #> $sam2R.fastq.gz #> derep-class: R object describing dereplicated sequencing reads #> $uniques: 1500 reads in 1401 unique sequences #>   Sequence lengths: min=250, median=250, max=250 #> $quals: Quality matrix dimension:  1401 250 #>   Consensus quality scores: min=7, median=34, max=38 #> $map: Map from reads to unique sequences:  1353 1171 1059 947 293 ... #>  derep_rv_pe #> $sam1F.fastq.gz #> derep-class: R object describing dereplicated sequencing reads #> $uniques: 1500 reads in 896 unique sequences #>   Sequence lengths: min=250, median=250, max=250 #> $quals: Quality matrix dimension:  896 250 #>   Consensus quality scores: min=7, median=36, max=38 #> $map: Map from reads to unique sequences:  4 155 627 265 5 ... #>  #> $sam1R.fastq.gz #> derep-class: R object describing dereplicated sequencing reads #> $uniques: 1500 reads in 1373 unique sequences #>   Sequence lengths: min=250, median=250, max=250 #> $quals: Quality matrix dimension:  1373 250 #>   Consensus quality scores: min=7, median=34, max=38 #> $map: Map from reads to unique sequences:  2 1029 664 983 156 ... #>  #> $sam2F.fastq.gz #> derep-class: R object describing dereplicated sequencing reads #> $uniques: 1500 reads in 909 unique sequences #>   Sequence lengths: min=250, median=250, max=250 #> $quals: Quality matrix dimension:  909 250 #>   Consensus quality scores: min=7, median=36, max=38 #> $map: Map from reads to unique sequences:  890 14 2 246 797 ... #>  #> $sam2R.fastq.gz #> derep-class: R object describing dereplicated sequencing reads #> $uniques: 1500 reads in 1401 unique sequences #>   Sequence lengths: min=250, median=250, max=250 #> $quals: Quality matrix dimension:  1401 250 #>   Consensus quality scores: min=7, median=34, max=38 #> $map: Map from reads to unique sequences:  1353 1171 1059 947 293 ... #>"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/funguild_assign.html","id":null,"dir":"Reference","previous_headings":"","what":"Assign Guilds to Organisms Based on Taxonomic Classification — funguild_assign","title":"Assign Guilds to Organisms Based on Taxonomic Classification — funguild_assign","text":"original function documentation written Brendan Furneaux FUNGuildR package. functions identical behavior supplied database; however download database corresponding name default. Taxa present database matched taxa present supplied otu_table exact name. case multiple matches, lowest (specific) rank chosen. attempt made check correct classification otu_table$Taxonomy.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/funguild_assign.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Assign Guilds to Organisms Based on Taxonomic Classification — funguild_assign","text":"","code":"funguild_assign(   otu_table,   db_funguild = get_funguild_db(),   tax_col = \"Taxonomy\" )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/funguild_assign.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Assign Guilds to Organisms Based on Taxonomic Classification — funguild_assign","text":"otu_table data.frame character column named \"Taxonomy\" (another name specified tax_col), well columns. entry \"otu_table$Taxonomy\" comma-, colon-, underscore-, semicolon-delimited classification organism. Rank indicators given Sintax (\"k:\", \"p:\"...) Unite (\"k__, \"p__\", ...) also allowed. character vector, representing taxonomic classification, also accepted. db_funguild data.frame representing FUNGuild returned get_funguild_db() supplied, default database downloaded. tax_col character string, optionally giving alternate column name otu_table use instead otu_table$Taxonomy.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/funguild_assign.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Assign Guilds to Organisms Based on Taxonomic Classification — funguild_assign","text":"tibble::tibble containing columns otu_table, plus relevant columns information FUNGuild","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/funguild_assign.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Assign Guilds to Organisms Based on Taxonomic Classification — funguild_assign","text":"Nguyen NH, Song Z, Bates ST, Branco S, Tedersoo L, Menke J, Schilling JS, Kennedy PG. 2016. FUNGuild: open annotation tool parsing fungal community datasets ecological guild. Fungal Ecology 20:241-248.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/funguild_assign.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Assign Guilds to Organisms Based on Taxonomic Classification — funguild_assign","text":"Brendan Furneaux (orcid: 0000-0003-3522-7363), modified Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/funky_color.html","id":null,"dir":"Reference","previous_headings":"","what":"Funky palette color — funky_color","title":"Funky palette color — funky_color","text":"Funky palette color","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/funky_color.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Funky palette color — funky_color","text":"","code":"funky_color(n)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/funky_color.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Funky palette color — funky_color","text":"n number colors","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/funky_color.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Funky palette color — funky_color","text":"color palette","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/funky_color.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Funky palette color — funky_color","text":"Thibaut Jombart","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/get_file_extension.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get the extension of a file — get_file_extension","text":"","code":"get_file_extension(file_path)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/get_file_extension.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get the extension of a file — get_file_extension","text":"file_path (required): path file","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/get_file_extension.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get the extension of a file — get_file_extension","text":" phyloseq-class object simplified taxonomy","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/get_file_extension.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Get the extension of a file — get_file_extension","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/get_funguild_db.html","id":null,"dir":"Reference","previous_headings":"","what":"Retrieve the FUNGuild database — get_funguild_db","title":"Retrieve the FUNGuild database — get_funguild_db","text":"original function documentation written Brendan Furneaux FUNGuildR package. Please cite publication.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/get_funguild_db.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Retrieve the FUNGuild database — get_funguild_db","text":"","code":"get_funguild_db(db_url = \"http://www.stbates.org/funguild_db_2.php\")"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/get_funguild_db.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Retrieve the FUNGuild database — get_funguild_db","text":"db_url length 1 character string giving URL retrieve database ","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/get_funguild_db.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Retrieve the FUNGuild database — get_funguild_db","text":"tibble::tibble containing database, can passed db argument funguild_assign()","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/get_funguild_db.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Retrieve the FUNGuild database — get_funguild_db","text":"Nguyen NH, Song Z, Bates ST, Branco S, Tedersoo L, Menke J, Schilling JS, Kennedy PG. 2016. FUNGuild: open annotation tool parsing fungal community datasets ecological guild. Fungal Ecology 20:241-248.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/get_funguild_db.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Retrieve the FUNGuild database — get_funguild_db","text":"Brendan Furneaux (orcid: 0000-0003-3522-7363), modified Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ggbetween_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Box/Violin plots for between-subjects comparisons of Hill Number — ggbetween_pq","title":"Box/Violin plots for between-subjects comparisons of Hill Number — ggbetween_pq","text":"Note contrary hill_pq(), function take account difference number sequences per samples/modalities. may use rarefy_by_sample = TRUE mean number sequences per samples differs among modalities. Basically wrapper function ggstatsplot::ggbetweenstats() object class phyloseq","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ggbetween_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Box/Violin plots for between-subjects comparisons of Hill Number — ggbetween_pq","text":"","code":"ggbetween_pq(physeq, variable, one_plot = FALSE, rarefy_by_sample = FALSE, ...)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ggbetween_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Box/Violin plots for between-subjects comparisons of Hill Number — ggbetween_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. variable (required): variable test. Must present sam_data slot physeq object. one_plot (logical, default FALSE) TRUE, return unique plot three plot inside using patchwork package. rarefy_by_sample (logical, default FALSE) TRUE, rarefy samples using phyloseq::rarefy_even_depth() function ... arguments passed ggstatsplot::ggbetweenstats() function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ggbetween_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Box/Violin plots for between-subjects comparisons of Hill Number — ggbetween_pq","text":"Either unique ggplot2 object (one_plot TRUE) list 3 ggplot2 plot: plot_Hill_0 : ggbetweenstats Hill number 0 (= species richness) variable plot_Hill_1 : ggbetweenstats Hill number 1 (= Shannon index) variable plot_Hill_2 : ggbetweenstats Hill number 2 (= Simpson index) variable","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ggbetween_pq.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Box/Violin plots for between-subjects comparisons of Hill Number — ggbetween_pq","text":"function mainly wrapper work others. Please make reference ggstatsplot::ggbetweenstats() use function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ggbetween_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Box/Violin plots for between-subjects comparisons of Hill Number — ggbetween_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ggbetween_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Box/Violin plots for between-subjects comparisons of Hill Number — ggbetween_pq","text":"","code":"p <- ggbetween_pq(data_fungi, variable = \"Time\", p.adjust.method = \"BH\") #> Cleaning suppress 0 taxa and 0 samples. #> Warning: The mean number of sequences per samples vary across modalities of the variable 'Time' You should use rarefy_by_sample = TRUE or try hill_pq() with correction_for_sample_size = TRUE p[[1]]  ggbetween_pq(data_fungi, variable = \"Height\", one_plot = TRUE) #> Cleaning suppress 0 taxa and 0 samples.  ggbetween_pq(data_fungi, variable = \"Height\", one_plot = TRUE, rarefy_by_sample = TRUE) #> Cleaning suppress 0 taxa and 0 samples. #> You set `rngseed` to FALSE. Make sure you've set & recorded #>  the random seed of your session for reproducibility. #> See `?set.seed` #> ... #> 1022OTUs were removed because they are no longer  #> present in any sample after random subsampling #> ... #> Cleaning suppress 0 taxa and 0 samples. #> All modality were undoubtedly rarefy in the physeq object."},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ggvenn_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Venn diagram of phyloseq-class object using\nggVennDiagram::ggVennDiagram function — ggvenn_pq","title":"Venn diagram of phyloseq-class object using\nggVennDiagram::ggVennDiagram function — ggvenn_pq","text":"Note can use ggplot2 function customize plot ex. + scale_fill_distiller(palette = \"BuPu\", direction = 1) + scale_x_continuous(expand = expansion(mult = 0.5)). See examples.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ggvenn_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Venn diagram of phyloseq-class object using\nggVennDiagram::ggVennDiagram function — ggvenn_pq","text":"","code":"ggvenn_pq(   physeq = NULL,   fact = NULL,   min_nb_seq = 0,   taxonomic_rank = NULL,   split_by = NULL,   add_nb_samples = TRUE,   add_nb_seq = FALSE,   rarefy_before_merging = FALSE,   rarefy_after_merging = FALSE,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ggvenn_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Venn diagram of phyloseq-class object using\nggVennDiagram::ggVennDiagram function — ggvenn_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. fact (required): Name factor cluster samples modalities. Need physeq@sam_data. min_nb_seq minimum number sequences OTUs samples take count OTUs sample. example, min_nb_seq=2,value 2 less OTU table count venn diagram taxonomic_rank Name (number) taxonomic rank count. set Null (default) number OTUs counted. split_by Split multiple plot using variable split_by. name variable must present sam_data slot physeq object. add_nb_samples (logical, default TRUE) Add number samples levels names add_nb_seq (logical, default FALSE) Add number sequences levels names rarefy_before_merging Rarefy sample merging modalities args fact. Use phyloseq::rarefy_even_depth() function rarefy_after_merging Rarefy sample merging modalities args fact. ... arguments ggVennDiagram::ggVennDiagram function ex. category.names.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ggvenn_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Venn diagram of phyloseq-class object using\nggVennDiagram::ggVennDiagram function — ggvenn_pq","text":"ggplot2 plot representing Venn diagram modalities argument factor split_by set list plots.","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ggvenn_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Venn diagram of phyloseq-class object using\nggVennDiagram::ggVennDiagram function — ggvenn_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ggvenn_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Venn diagram of phyloseq-class object using\nggVennDiagram::ggVennDiagram function — ggvenn_pq","text":"","code":"ggvenn_pq(data_fungi, fact = \"Height\")  ggvenn_pq(data_fungi, fact = \"Height\") +   ggplot2::scale_fill_distiller(palette = \"BuPu\", direction = 1)  pl <- ggvenn_pq(data_fungi, fact = \"Height\", split_by = \"Time\") #> Two modalities differ greatly (more than x2) in their number of sequences (159635 vs 53355). You may be interested by the parameter rarefy_after_merging for (i in 1:length(pl)) {   p <- pl[[i]] +     scale_fill_distiller(palette = \"BuPu\", direction = 1) +     theme(plot.title = element_text(hjust = 0.5, size = 22))   print(p) }      data_fungi2 <- subset_samples(data_fungi, data_fungi@sam_data$Tree_name == \"A10-005\" |   data_fungi@sam_data$Height %in% c(\"Low\", \"High\")) ggvenn_pq(data_fungi2, fact = \"Height\") #> Two modalities differ greatly (more than x2) in their number of sequences (432919 vs 3961). You may be interested by the parameter rarefy_after_merging   ggvenn_pq(data_fungi, fact = \"Height\", add_nb_seq = TRUE, set_size = 4)  ggvenn_pq(data_fungi, fact = \"Height\", rarefy_before_merging = TRUE) #> You set `rngseed` to FALSE. Make sure you've set & recorded #>  the random seed of your session for reproducibility. #> See `?set.seed` #> ... #> 1017OTUs were removed because they are no longer  #> present in any sample after random subsampling #> ... #> Cleaning suppress 0 taxa and 0 samples.  ggvenn_pq(data_fungi, fact = \"Height\", rarefy_after_merging = TRUE) +   scale_x_continuous(expand = expansion(mult = 0.5)) #> Warning: `group` has missing values; corresponding samples will be dropped #> You set `rngseed` to FALSE. Make sure you've set & recorded #>  the random seed of your session for reproducibility. #> See `?set.seed` #> ... #> 157OTUs were removed because they are no longer  #> present in any sample after random subsampling #> ... #> Cleaning suppress 0 taxa and 0 samples."},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/graph_test_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Performs graph-based permutation tests on phyloseq object — graph_test_pq","title":"Performs graph-based permutation tests on phyloseq object — graph_test_pq","text":"wrapper phyloseqGraphTest::graph_perm_test() quick plot important statistics","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/graph_test_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Performs graph-based permutation tests on phyloseq object — graph_test_pq","text":"","code":"graph_test_pq(   physeq,   fact,   merge_sample_by = NULL,   nperm = 999,   return_plot = TRUE,   title = \"Graph Test\",   na_remove = FALSE,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/graph_test_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Performs graph-based permutation tests on phyloseq object — graph_test_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. fact (required) Name factor cluster samples modalities. Need physeq@sam_data. factor two levels. merge_sample_by vector determine samples merge using merge_samples2() function. Need physeq@sam_data nperm (int) number permutations perform. return_plot (logical) return result test plot result? title title Graph. na_remove (logical, default FALSE) set TRUE, remove samples NA variables set formula. ... params passed phyloseqGraphTest::graph_perm_test() function","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/graph_test_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Performs graph-based permutation tests on phyloseq object — graph_test_pq","text":"ggplot2 plot subtitle indicating pvalue number permutations","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/graph_test_pq.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Performs graph-based permutation tests on phyloseq object — graph_test_pq","text":"function mainly wrapper work others. Please cite phyloseqGraphTest package.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/graph_test_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Performs graph-based permutation tests on phyloseq object — graph_test_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/graph_test_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Performs graph-based permutation tests on phyloseq object — graph_test_pq","text":"","code":"data(enterotype) graph_test_pq(enterotype, fact = \"SeqTech\")  graph_test_pq(enterotype, fact = \"Enterotype\", na_remove = TRUE) #> 9 were discarded due to NA in variables present in formula."},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/heat_tree_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Heat tree from metacoder package using tax_table slot — heat_tree_pq","title":"Heat tree from metacoder package using tax_table slot — heat_tree_pq","text":"Note number ASV store name n_obs number sequences name nb_sequences","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/heat_tree_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Heat tree from metacoder package using tax_table slot — heat_tree_pq","text":"","code":"heat_tree_pq(physeq, taxonomic_level = NULL, ...)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/heat_tree_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Heat tree from metacoder package using tax_table slot — heat_tree_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. taxonomic_level (default: NULL): vector selected taxonomic level using column numbers (e.g. taxonomic_level = 1:7) ... Arguments passed heat_tree","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/heat_tree_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Heat tree from metacoder package using tax_table slot — heat_tree_pq","text":"plot","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/heat_tree_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Heat tree from metacoder package using tax_table slot — heat_tree_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/heat_tree_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Heat tree from metacoder package using tax_table slot — heat_tree_pq","text":"","code":"library(\"metacoder\") #> This is metacoder version 0.3.6 (stable) #>  #> Attaching package: ‘metacoder’ #> The following object is masked from ‘package:ape’: #>  #>     complement #> The following object is masked from ‘package:ggplot2’: #>  #>     map_data #> The following object is masked from ‘package:phyloseq’: #>  #>     filter_taxa data(\"GlobalPatterns\", package = \"phyloseq\")  GPsubset <- subset_taxa(   GlobalPatterns,   GlobalPatterns@tax_table[, 1] == \"Bacteria\" ) #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’  GPsubset <- subset_taxa(   GPsubset,   rowSums(GPsubset@otu_table) > 5000 ) #> Error in eval(e, x, parent.frame()): object 'GPsubset' not found  GPsubset <- subset_taxa(   GPsubset,   rowSums(is.na(GPsubset@tax_table)) == 0 ) #> Error in eval(e, x, parent.frame()): object 'GPsubset' not found  heat_tree_pq(GPsubset,   node_size = n_obs,   node_color = n_obs,   node_label = taxon_names,   tree_label = taxon_names,   node_size_trans = \"log10 area\" ) #> The following 17689 of 19008 (93.1%) input indexes have `NA` in their classifications: #>    4, 6, 7, 8, 9, 10 ... 19003, 19004, 19005, 19006, 19007, 19008 #> No `cols` specified, so using all numeric columns: #>    CL3, CC1, SV1, M31Fcsw, M11Fcsw ... TS29, Even1, Even2, Even3 #> Summing per-taxon counts from 26 columns for 2616 taxa   if (FALSE) {   heat_tree_pq(GPsubset,     node_size = nb_sequences,     node_color = n_obs,     node_label = taxon_names,     tree_label = taxon_names,     node_size_trans = \"log10 area\"   ) }"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/hill_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Graphical representation of hill number 0, 1 and 2 across a factor — hill_pq","title":"Graphical representation of hill number 0, 1 and 2 across a factor — hill_pq","text":"Note function use sqrt read numbers linear model order correct uneven sampling depth.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/hill_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Graphical representation of hill number 0, 1 and 2 across a factor — hill_pq","text":"","code":"hill_pq(   physeq,   variable,   color_fac = NA,   letters = FALSE,   add_points = FALSE,   add_info = TRUE,   one_plot = FALSE,   correction_for_sample_size = TRUE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/hill_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Graphical representation of hill number 0, 1 and 2 across a factor — hill_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. variable (required): variable test. Must present sam_data slot physeq object. color_fac (optional): variable color barplot letters (optional, default=FALSE): set TRUE, plot show letters based p-values comparison. Use multcompLetters function package multcompLetters. BROKEN moment. Note na values variable param need removed (see examples) use letters. add_points (logical): add jitter point boxplot add_info (logical, default TRUE) add subtitle information number samples per modality ? one_plot (logical, default FALSE) TRUE, return unique plot four plot inside using patchwork package. Note letters one_plot TRUE, tuckey HSD results discarded unique plot. case, use one_plot = FALSE see tuckey HSD results fourth plot resulting list. correction_for_sample_size (logical, default TRUE) function use sqrt read numbers linear model order correct uneven sampling depth.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/hill_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Graphical representation of hill number 0, 1 and 2 across a factor — hill_pq","text":"Either unique ggplot2 object (one_plot TRUE) list 4 ggplot2 plot: plot_Hill_0 : boxplot Hill number 0 (= species richness) variable plot_Hill_1 : boxplot Hill number 1 (= Shannon index) variable plot_Hill_2 : boxplot Hill number 2 (= Simpson index) variable plot_tuckey : plot result Tuckey HSD test","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/hill_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Graphical representation of hill number 0, 1 and 2 across a factor — hill_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/hill_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Graphical representation of hill number 0, 1 and 2 across a factor — hill_pq","text":"","code":"p <- hill_pq(data_fungi, \"Height\") #> Taxa are now in rows. #> Cleaning suppress 0 taxa and 0 samples. p_h1 <- p[[1]] + theme(legend.position = \"none\") p_h2 <- p[[2]] + theme(legend.position = \"none\") p_h3 <- p[[3]] + theme(legend.position = \"none\") multiplot(plotlist = list(p_h1, p_h2, p_h3, p[[4]]), cols = 4)   # Artificially modify data_fungi to force alpha-diversity effect data_fungi_modif <- clean_pq(subset_samples_pq(data_fungi, !is.na(data_fungi@sam_data$Height))) #> Cleaning suppress 144 taxa and 0 samples. data_fungi_modif@otu_table[data_fungi_modif@sam_data$Height == \"High\", ] <-   data_fungi_modif@otu_table[data_fungi_modif@sam_data$Height == \"High\", ] +   sample(c(rep(0, ntaxa(data_fungi_modif) / 2), rep(100, ntaxa(data_fungi_modif) / 2))) p2 <- hill_pq(data_fungi_modif, \"Height\", letters = TRUE) #> Taxa are now in rows. #> Cleaning suppress 0 taxa and 0 samples. #> Joining with `by = join_by(Height)` #> Joining with `by = join_by(Height)` #> Joining with `by = join_by(Height)`"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/hill_tuckey_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate hill number and compute Tuckey post-hoc test — hill_tuckey_pq","title":"Calculate hill number and compute Tuckey post-hoc test — hill_tuckey_pq","text":"Note , default, function use sqrt read numbers linear model order correct uneven sampling depth.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/hill_tuckey_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate hill number and compute Tuckey post-hoc test — hill_tuckey_pq","text":"","code":"hill_tuckey_pq(   physeq,   modality,   silent = TRUE,   correction_for_sample_size = TRUE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/hill_tuckey_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate hill number and compute Tuckey post-hoc test — hill_tuckey_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. modality (required) variable test silent (logical) TRUE, message printing. correction_for_sample_size (logical, default TRUE) function use sqrt read numbers linear model order correct uneven sampling depth.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/hill_tuckey_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate hill number and compute Tuckey post-hoc test — hill_tuckey_pq","text":"ggplot2 object","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/hill_tuckey_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Calculate hill number and compute Tuckey post-hoc test — hill_tuckey_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/hill_tuckey_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate hill number and compute Tuckey post-hoc test — hill_tuckey_pq","text":"","code":"data(\"GlobalPatterns\", package = \"phyloseq\") GlobalPatterns@sam_data[, \"Soil_logical\"] <-   ifelse(GlobalPatterns@sam_data[, \"SampleType\"] == \"Soil\", \"Soil\", \"Not Soil\") hill_tuckey_pq(GlobalPatterns, \"Soil_logical\") #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/iNEXT_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"iNterpolation and EXTrapolation of Hill numbers (with iNEXT) — iNEXT_pq","text":"","code":"iNEXT_pq(physeq, merge_sample_by = NULL, ...)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/iNEXT_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"iNterpolation and EXTrapolation of Hill numbers (with iNEXT) — iNEXT_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. merge_sample_by (default: NULL) NULL samples physeq merged using vector set merge_sample_by. merging used merge_samples2(). case biplot_pq() must factor two levels . ... arguments iNEXT::iNEXT() function","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/iNEXT_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"iNterpolation and EXTrapolation of Hill numbers (with iNEXT) — iNEXT_pq","text":"see iNEXT::iNEXT() documentation","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/iNEXT_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"iNterpolation and EXTrapolation of Hill numbers (with iNEXT) — iNEXT_pq","text":"Adrien Taudière function mainly wrapper work others. Please make reference iNEXT::iNEXT() use function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/iNEXT_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"iNterpolation and EXTrapolation of Hill numbers (with iNEXT) — iNEXT_pq","text":"","code":"if (FALSE) { library(\"iNEXT\") data(\"GlobalPatterns\", package = \"phyloseq\") GPsubset <- subset_taxa(   GlobalPatterns,   GlobalPatterns@tax_table[, 1] == \"Bacteria\" ) GPsubset <- subset_taxa(   GPsubset,   rowSums(GPsubset@otu_table) > 1000 ) GPsubset <- subset_taxa(   GPsubset,   rowSums(is.na(GPsubset@tax_table)) == 0 ) GPsubset@sam_data$human <- GPsubset@sam_data$SampleType %in%   c(\"Skin\", \"Feces\", \"Tong\") res_iNEXT <- iNEXT_pq(   GPsubset,   merge_sample_by = \"human\",   q = 1,   datatype = \"abundance\",   nboot = 2 ) ggiNEXT(res_iNEXT) ggiNEXT(res_iNEXT, type = 2) ggiNEXT(res_iNEXT, type = 3) }"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/install_pkg_needed.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Install a package if not present — install_pkg_needed","text":"","code":"install_pkg_needed(   pkg,   use_pak = TRUE,   bioconductor_pkg = FALSE,   github_pkg = FALSE,   verbose = FALSE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/install_pkg_needed.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Install a package if not present — install_pkg_needed","text":"pkg name package use_pak (logical, default TRUE) Use pak::pkg_install(). FALSE use base install.package() function function BiocManager::install() bioconductor_pkg true function bioconductor_pkg (logical, default FALSE). use_pak TRUE, nothing, else use BiocManager::install() install package. github_pkg (logical, default FALSE). use_pak TRUE, nothing, else use devtools::install_github install package. verbose (logical, default FALSE) function print message?","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/install_pkg_needed.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Install a package if not present — install_pkg_needed","text":"Nothing","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/install_pkg_needed.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Install a package if not present — install_pkg_needed","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/krona.html","id":null,"dir":"Reference","previous_headings":"","what":"Make Krona files using KronaTools. — krona","title":"Make Krona files using KronaTools. — krona","text":"Need installation kronatools computer (installation instruction).","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/krona.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Make Krona files using KronaTools. — krona","text":"","code":"krona(   physeq,   file = \"krona.html\",   nb_seq = TRUE,   ranks = \"All\",   add_unassigned_rank = 0,   name = NULL )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/krona.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Make Krona files using KronaTools. — krona","text":"physeq (required): phyloseq-class object obtained using phyloseq package. file (required) location html file save nb_seq (logical) true, Krona set distribution sequences taxonomy. False, Krona set distribution ASVs taxonomy. ranks Number taxonomic ranks plot (num column tax_table slot physeq object). Default setting plot ranks (argument ''). add_unassigned_rank (int) Add unassigned rank inferior 'add_unassigned_rank' necessary. name name intermediary files, Useful name krona result files merging using merge_krona()","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/krona.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Make Krona files using KronaTools. — krona","text":"html file","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/krona.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Make Krona files using KronaTools. — krona","text":"function mainly wrapper work others. Please cite Krona use function.","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/krona.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Make Krona files using KronaTools. — krona","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/krona.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Make Krona files using KronaTools. — krona","text":"","code":"data(\"GlobalPatterns\", package = \"phyloseq\") GA <- subset_taxa(GlobalPatterns, Phylum == \"Acidobacteria\") #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ if (FALSE) {  krona(GA, \"Number.of.sequences.html\")  krona(GA, \"Number.of.ASVs.html\", nb_seq = FALSE)  merge_krona(c(\"Number.of.sequences.html\", \"Number.of.ASVs.html\")) }"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/list_fastq_files.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"List fastq files — list_fastq_files","text":"","code":"list_fastq_files(   path,   paired_end = TRUE,   pattern = \"fastq\",   pattern_R1 = \"_R1_\",   pattern_R2 = \"_R2_\",   nb_files = Inf )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/list_fastq_files.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"List fastq files — list_fastq_files","text":"path path files (required) paired_end paired_end files? (default TRUE) pattern pattern filter files (passed list.files function). pattern_R1 pattern filter R1 files (default \"R1\") pattern_R2 pattern filter R2 files (default \"R2\") nb_files number fastq files list (default FALSE)","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/list_fastq_files.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"List fastq files — list_fastq_files","text":"list one (single end) two (paired end) list files files sorted names (default behavior list.files())","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/list_fastq_files.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"List fastq files — list_fastq_files","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/list_fastq_files.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"List fastq files — list_fastq_files","text":"","code":"list_fastq_files(\"extdata\") #> $fnfs #> character(0) #>  #> $fnrs #> character(0) #>  list_fastq_files(\"extdata\", paired_end = FALSE, pattern_R1 = \"\") #> $fnfs #> character(0) #>"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/lulu.html","id":null,"dir":"Reference","previous_headings":"","what":"Post Clustering Curation of Amplicon Data. — lulu","title":"Post Clustering Curation of Amplicon Data. — lulu","text":"original function documentation written Tobias Guldberg Frøslev lulu package. algorithm lulu consumes OTU table matchlist, evaluates cooccurence 'daughters' (potential analytical artefacts) 'parents' (~= real biological species/OTUs). algorithm requires OTU table (species/site matrix), match list. OTU table can made various r-packages (e.g. DADA2) external pipelines (VSEARCH, USEARCH, QIIME, etc.), match-list can made external bioinformatic tools like VSEARCH, USEARCH, BLASTN another algorithm pair-wise sequence matching.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/lulu.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Post Clustering Curation of Amplicon Data. — lulu","text":"","code":"lulu(   otu_table,   matchlist,   minimum_ratio_type = \"min\",   minimum_ratio = 1,   minimum_match = 84,   minimum_relative_cooccurence = 0.95,   progress_bar = TRUE,   log_conserved = FALSE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/lulu.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Post Clustering Curation of Amplicon Data. — lulu","text":"otu_table data.frame OTU table sites/samples columns OTUs (unique OTU id's) rows, observations read counts. matchlist data.frame containing three columns: (1) OTU id potential child, (2) OTU id potential parent, (3) match - % identiti sequences potential parent potential child OTUs. NB: matchlist product mapping OTU sequences . currently carried external script e.g. Blastn VSEARCH, prior running lulu! minimum_ratio_type sets whether potential error must lower abundance parent samples min (default), error just needs lower abundance average avg. Choosing lower abundance average globally lower abundance greatly increase number designated errors. option introduced make possible account non-sufficiently clustered intraspecific variation, generally recommended, also increase potential cluster well-separated, co-occuring, sequence similar species. minimum_ratio sets minimim abundance ratio potential error potential parent identified error. minimum_ratio_type set min (default), minimum_ratio applies lowest observed ration across samples.  minimum_ratio_type set avg (default), minimum_ratio applies mean observed ration across samples.avg. (default 1). minimum_match minimum threshold sequence similarity considering OTU error another can set (default 84%). minimum_relative_cooccurence minimum co-occurrence rate, .e. lower rate occurrence potential error explained co-occurrence potential parent considering error state. progress_bar (Logical, default TRUE) print progress calculation . log_conserved (Logical, default FALSE) conserved log files writed disk","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/lulu.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Post Clustering Curation of Amplicon Data. — lulu","text":"Function lulu returns list results based input OTU table match list. curated_table - curated OTU table daughters merged matching parents. curated_count - number curated (parent) OTUs. curated_otus - ids OTUs accepted valid OTUs. discarded_count - number discarded (merged parent) OTUs. discarded_otus - ids OTUs identified errors (daughters) merged respective parents. runtime - time used script. minimum_match - id threshold (minimum match \\ user). minimum_relative_cooccurence - minimum ratio daughter-occurences explained co-occurence parent (set user). otu_map - information daughters mapped parents. original_table - original OTU table. matchlist product mapping OTU sequences . currently carried external script e.g. BLASTN VSEARCH, prior running lulu! Producing match list requires file OTU sequences (centroids) - e.g. OTUcentroids.fasta. matchlist can produced mapping OTUs external algorithm like VSEARCH BLASTN. VSEARCH matchlist can produced e.g. following command: vsearch --usearch_global OTUcentroids.fasta --db OTUcentroids.fasta --strand plus --self --id .80 --iddef 1 --userout matchlist.txt --userfields query+target+id --maxaccepts 0 --query_cov .9 --maxhits 10. BLASTN matchlist can produces e.g. following commands. First produce blast-database fasta file: makeblastdb -OTUcentroids.fasta -parse_seqids -dbtype nucl, match centroids database: blastn -db OTUcentoids.fasta -num_threads 10 -outfmt'6 qseqid sseqid pident' -matchlist.txt -qcov_hsp_perc .90 -perc_identity .84 -query OTUcentroids.fasta","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/lulu.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Post Clustering Curation of Amplicon Data. — lulu","text":"Please cite lulu original paper: https://www.nature.com/articles/s41467-017-01312-x","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/lulu.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Post Clustering Curation of Amplicon Data. — lulu","text":"Tobias Guldberg Frøslev (orcid: 0000-0002-3530-013X), modified Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/lulu_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Lulu reclustering of class physeq — lulu_pq","title":"Lulu reclustering of class physeq — lulu_pq","text":"See https://www.nature.com/articles/s41467-017-01312-x information method.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/lulu_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Lulu reclustering of class physeq — lulu_pq","text":"","code":"lulu_pq(   physeq,   nproc = 1,   id = 0.84,   vsearchpath = \"vsearch\",   verbose = FALSE,   clean_pq = FALSE,   keep_temporary_files = FALSE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/lulu_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Lulu reclustering of class physeq — lulu_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. nproc (default 1) Set number cpus/processors use clustering id (default: 0.84) id --usearch_global. vsearchpath (default: vsearch) path vsearch. verbose (logical) true, print additional messages. clean_pq (logical) true, empty samples empty ASV discarded clustering. keep_temporary_files (logical, default: FALSE) keep temporary files","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/lulu_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Lulu reclustering of class physeq — lulu_pq","text":"list object \"new_physeq\": new phyloseq object (class physeq) \"discrepancy_vector\": vector discrepancy showing taxonomic level proportion identic value lulu reclustering. value 0.6 stands 60% ASV re-clustering identical value re-clustering. word, 40% ASV assigned different taxonomic value. NA value counted discrepancy. \"res_lulu\": list result lulu function \"merged_ASV\": data.frame used merged ASV","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/lulu_pq.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Lulu reclustering of class physeq — lulu_pq","text":"version LULU fork Adrien Taudière (https://github.com/adrientaudiere/lulu) https://github.com/tobiasgf/lulu","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/lulu_pq.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Lulu reclustering of class physeq — lulu_pq","text":"LULU : https://github.com/adrientaudiere/lulu forked https://github.com/tobiasgf/lulu. VSEARCH can downloaded https://github.com/torognes/vsearch.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/lulu_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Lulu reclustering of class physeq — lulu_pq","text":"Tobias Guldberg Frøslev tobiasgf@snm.ku.dk & Adrien Taudière adrien.taudiere@zaclys.net","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/lulu_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Lulu reclustering of class physeq — lulu_pq","text":"","code":"if (FALSE) { data(data_fungi_sp_known) lulu_pq(data_fungi_sp_known) }"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/merge_krona.html","id":null,"dir":"Reference","previous_headings":"","what":"Merge Krona files using KronaTools. — merge_krona","title":"Merge Krona files using KronaTools. — merge_krona","text":"Need installation kronatools computer (installation instruction). Function merge_krona allows merging multiple html files one interactive krona file Note need use name args krona() function merge_krona() order give good name krona pie output.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/merge_krona.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Merge Krona files using KronaTools. — merge_krona","text":"","code":"merge_krona(files = NULL, output = \"mergeKrona.html\")"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/merge_krona.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Merge Krona files using KronaTools. — merge_krona","text":"files (required) path html files merged output path output file","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/merge_krona.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Merge Krona files using KronaTools. — merge_krona","text":"html file","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/merge_krona.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Merge Krona files using KronaTools. — merge_krona","text":"function mainly wrapper work others. Please cite Krona use function.","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/merge_krona.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Merge Krona files using KronaTools. — merge_krona","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/merge_krona.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Merge Krona files using KronaTools. — merge_krona","text":"","code":"if (FALSE) {   data(\"GlobalPatterns\", package = \"phyloseq\")   GA <- subset_taxa(GlobalPatterns, Phylum == \"Acidobacteria\")   krona(GA, \"Number.of.sequences.html\", name = \"Nb_seq_GP_acidobacteria\")   krona(GA, \"Number.of.ASVs.html\", nb_seq = FALSE, name = \"Nb_asv_GP_acidobacteria\")   merge_krona(c(\"Number.of.sequences.html\", \"Number.of.ASVs.html\"), \"mergeKrona.html\")   unlink(c(\"Number.of.sequences.html\", \"Number.of.ASVs.html\", \"mergeKrona.html\")) }"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/merge_samples2.html","id":null,"dir":"Reference","previous_headings":"","what":"Merge samples by a sample variable or factor — merge_samples2","title":"Merge samples by a sample variable or factor — merge_samples2","text":"Firstly release speedyseq R package Michael R. McLaren. function provides alternative phyloseq::merge_samples() better handles sample variables different types, especially categorical sample variables. combines samples x defined sample variable factor group summing abundances otu_table(x) combines sample variables summary functions funs. default summary function, unique_or_na(), collapses values within group single unique value exists otherwise returns NA. new (merged) samples named values group.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/merge_samples2.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Merge samples by a sample variable or factor — merge_samples2","text":"","code":"merge_samples2(x, group, fun_otu = sum, funs = list(), reorder = FALSE)  # S4 method for phyloseq merge_samples2(x, group, fun_otu = sum, funs = list(), reorder = FALSE)  # S4 method for otu_table merge_samples2(x, group, fun_otu = sum, reorder = FALSE)  # S4 method for sample_data merge_samples2(x, group, funs = list(), reorder = FALSE)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/merge_samples2.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Merge samples by a sample variable or factor — merge_samples2","text":"x phyloseq, otu_table, sample_data object group sample variable vector length nsamples(x) defining sample grouping. vector must supplied x otu_table fun_otu Function combining abundances otu table; default sum. Can formula converted function purrr::as_mapper() funs Named list merge functions sample variables; default unique_or_na reorder Logical specifying whether reorder new (merged) samples name","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/merge_samples2.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Merge samples by a sample variable or factor — merge_samples2","text":"Michael R. McLaren (orcid: 0000-0003-1575-473X) modified Adrien Taudiere","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/merge_samples2.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Merge samples by a sample variable or factor — merge_samples2","text":"","code":"data(enterotype)  # Merge samples with the same project and clinical status ps <- enterotype sample_data(ps) <- sample_data(ps) %>%   transform(Project.ClinicalStatus = Project:ClinicalStatus) sample_data(ps) %>% head() #>           Enterotype Sample_ID SeqTech  SampleID     Project Nationality Gender #> AM.AD.1         <NA>   AM.AD.1  Sanger   AM.AD.1      gill06    american      F #> AM.AD.2         <NA>   AM.AD.2  Sanger   AM.AD.2      gill06    american      M #> AM.F10.T1       <NA> AM.F10.T1  Sanger AM.F10.T1 turnbaugh09    american      F #> AM.F10.T2          3 AM.F10.T2  Sanger AM.F10.T2 turnbaugh09    american      F #> DA.AD.1            2   DA.AD.1  Sanger   DA.AD.1     MetaHIT      danish      F #> DA.AD.1T        <NA>  DA.AD.1T  Sanger      <NA>        <NA>        <NA>   <NA> #>           Age ClinicalStatus Project.ClinicalStatus #> AM.AD.1    28        healthy         gill06:healthy #> AM.AD.2    37        healthy         gill06:healthy #> AM.F10.T1  NA          obese      turnbaugh09:obese #> AM.F10.T2  NA          obese      turnbaugh09:obese #> DA.AD.1    59        healthy        MetaHIT:healthy #> DA.AD.1T   NA           <NA>                   <NA> ps0 <- merge_samples2(ps, \"Project.ClinicalStatus\",   fun_otu = mean,   funs = list(Age = mean) ) #> Warning: `group` has missing values; corresponding samples will be dropped sample_data(ps0) %>% head() #>                     Enterotype Sample_ID SeqTech SampleID     Project #> gill06:healthy            <NA>      <NA>  Sanger     <NA>      gill06 #> kurokawa07:healthy        <NA>      <NA>  Sanger     <NA>  kurokawa07 #> kurokawa07 :healthy       <NA>      <NA>  Sanger     <NA> kurokawa07  #> MetaHIT:CD                   1   ES.AD.1  Sanger  ES.AD.1     MetaHIT #> MetaHIT:healthy           <NA>      <NA>  Sanger     <NA>     MetaHIT #> MetaHIT:obese             <NA>      <NA>  Sanger     <NA>     MetaHIT #>                     Nationality Gender      Age ClinicalStatus #> gill06:healthy         american   <NA> 32.50000        healthy #> kurokawa07:healthy     japanese      M 15.12500        healthy #> kurokawa07 :healthy    japanese   <NA> 19.17364        healthy #> MetaHIT:CD              spanish      F 25.00000             CD #> MetaHIT:healthy            <NA>   <NA> 50.00000        healthy #> MetaHIT:obese            danish   <NA> 54.00000          obese #>                     Project.ClinicalStatus #> gill06:healthy              gill06:healthy #> kurokawa07:healthy      kurokawa07:healthy #> kurokawa07 :healthy    kurokawa07 :healthy #> MetaHIT:CD                      MetaHIT:CD #> MetaHIT:healthy            MetaHIT:healthy #> MetaHIT:obese                MetaHIT:obese"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/merge_taxa_vec.html","id":null,"dir":"Reference","previous_headings":"","what":"Merge taxa in groups (vectorized version) — merge_taxa_vec","title":"Merge taxa in groups (vectorized version) — merge_taxa_vec","text":"Firstly release speedyseq R package Michael R. McLaren. Merge taxa x smaller set taxa defined vector group. Taxa whose value group NA dropped. New taxa named according abundant taxon group (phyloseq otu_table objects) first taxon group (phyloseq component objects). x phyloseq object phylogenetic tree, new taxa ordered tree. Otherwise, taxa order can controlled reorder argument, behaves like reorder argument base::rowsum(). reorder = FALSE keep taxa original order determined member group first appears taxa_names(x); reorder = TRUE order new taxa according corresponding value group. tax_adjust argument controls handling taxonomic disagreements within groups. Setting tax_adjust == 0 causes adjustment; taxonomy new group set archetype taxon (see ). Otherwise, disagreements within group given rank cause values lower ranks set NA. tax_adjust == 1 (default), rank taxa group already NA counted disagreement, lower ranks may kept taxa agree. corresponds original phyloseq behavior. tax_adjust == 2, NAs treated disagreement; ranks set NA first disagreement NA.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/merge_taxa_vec.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Merge taxa in groups (vectorized version) — merge_taxa_vec","text":"","code":"merge_taxa_vec(x, group, reorder = FALSE, tax_adjust = 1L)  # S4 method for phyloseq merge_taxa_vec(x, group, reorder = FALSE, tax_adjust = 1L)  # S4 method for otu_table merge_taxa_vec(x, group, reorder = FALSE)  # S4 method for taxonomyTable merge_taxa_vec(x, group, reorder = FALSE, tax_adjust = 1L)  # S4 method for phylo merge_taxa_vec(x, group)  # S4 method for XStringSet merge_taxa_vec(x, group, reorder = FALSE)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/merge_taxa_vec.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Merge taxa in groups (vectorized version) — merge_taxa_vec","text":"x phyloseq object component object group vector one element taxon physeq defines new groups. see base::rowsum(). reorder Logical specifying whether reorder taxa group values. Ignored x () phylogenetic tree. tax_adjust 0: adjustment; 1: phyloseq-compatible adjustment; 2: conservative adjustment","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/merge_taxa_vec.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Merge taxa in groups (vectorized version) — merge_taxa_vec","text":"Michael R. McLaren (orcid: 0000-0003-1575-473X) modified Adrien Taudiere","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multi_biplot_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Visualization of a collection of couples of samples for comparison — multi_biplot_pq","title":"Visualization of a collection of couples of samples for comparison — multi_biplot_pq","text":"allow plot possible biplot_pq() combination using one factor.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multi_biplot_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Visualization of a collection of couples of samples for comparison — multi_biplot_pq","text":"","code":"multi_biplot_pq(physeq, split_by = NULL, pairs = NULL, na_remove = TRUE, ...)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multi_biplot_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Visualization of a collection of couples of samples for comparison — multi_biplot_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. split_by (required pairs NULL) name factor make combination couples values pairs (required pairs NULL) name factor physeq@sam_data` slot make plot pairs samples. level must present two times. Note set pairs, also must set fact arguments pass biplot_pq(). na_remove (logical, default TRUE) TRUE remove samples NA split_by variable physeq@sam_data slot ... parameters passed biplot_pq()","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multi_biplot_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Visualization of a collection of couples of samples for comparison — multi_biplot_pq","text":"list ggplot object","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multi_biplot_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Visualization of a collection of couples of samples for comparison — multi_biplot_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multi_biplot_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Visualization of a collection of couples of samples for comparison — multi_biplot_pq","text":"","code":"data_fungi_abun <- subset_taxa_pq(data_fungi, taxa_sums(data_fungi) > 10000) #> Cleaning suppress 0 taxa (  ) and 15 sample(s) ( BE9-006-B_S27_MERGED.fastq.gz / C21-NV1-M_S64_MERGED.fastq.gz / DJ2-008-B_S87_MERGED.fastq.gz / DY5-004-H_S97_MERGED.fastq.gz / DY5-004-M_S98_MERGED.fastq.gz / E9-009-B_S100_MERGED.fastq.gz / E9-009-H_S101_MERGED.fastq.gz / N22-001-B_S129_MERGED.fastq.gz / O20-X-B_S139_MERGED.fastq.gz / O21-007-M_S144_MERGED.fastq.gz / R28-008-H_S159_MERGED.fastq.gz / R28-008-M_S160_MERGED.fastq.gz / W26-001-M_S167_MERGED.fastq.gz / Y29-007-H_S182_MERGED.fastq.gz / Y29-007-M_S183_MERGED.fastq.gz ). #> Number of non-matching ASV 0 #> Number of matching ASV 1420 #> Number of filtered-out ASV 1385 #> Number of kept ASV 35 #> Number of kept samples 170 p <- multi_biplot_pq(data_fungi_abun, \"Height\") #> 54 were discarded due to NA in variables present in formula. #> Cleaning suppress 0 taxa and 0 samples. #> Scale for y is already present. #> Adding another scale for y, which will replace the existing scale. lapply(p, print) #> Warning: Removed 1 rows containing missing values (`geom_rect()`).  #> $`High - Low` #> Warning: Removed 1 rows containing missing values (`geom_rect()`).  #>"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multipatt_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Test and plot multipatt result — multipatt_pq","title":"Test and plot multipatt result — multipatt_pq","text":"wrapper indicspecies::multipatt() function case physeq object.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multipatt_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Test and plot multipatt result — multipatt_pq","text":"","code":"multipatt_pq(   physeq,   fact,   p_adjust_method = \"BH\",   pval = 0.05,   control = permute::how(nperm = 999),   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multipatt_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Test and plot multipatt result — multipatt_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. fact (required) Name factor physeq@sam_data used plot different lines p_adjust_method (chr, default \"BH\"): method used adjust p-value pval (int, default 0.05): value determine significance LCBD control see ?indicspecies::multipatt() ... Others arguments passed indicspecies::multipatt() function","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multipatt_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Test and plot multipatt result — multipatt_pq","text":"ggplot object","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multipatt_pq.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Test and plot multipatt result — multipatt_pq","text":"function mainly wrapper work others. Please make reference indicspecies::multipatt() use function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multipatt_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Test and plot multipatt result — multipatt_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multipatt_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Test and plot multipatt result — multipatt_pq","text":"","code":"data(data_fungi) data_fungi_ab <- subset_taxa_pq(data_fungi, taxa_sums(data_fungi) > 10000) #> Cleaning suppress 0 taxa (  ) and 15 sample(s) ( BE9-006-B_S27_MERGED.fastq.gz / C21-NV1-M_S64_MERGED.fastq.gz / DJ2-008-B_S87_MERGED.fastq.gz / DY5-004-H_S97_MERGED.fastq.gz / DY5-004-M_S98_MERGED.fastq.gz / E9-009-B_S100_MERGED.fastq.gz / E9-009-H_S101_MERGED.fastq.gz / N22-001-B_S129_MERGED.fastq.gz / O20-X-B_S139_MERGED.fastq.gz / O21-007-M_S144_MERGED.fastq.gz / R28-008-H_S159_MERGED.fastq.gz / R28-008-M_S160_MERGED.fastq.gz / W26-001-M_S167_MERGED.fastq.gz / Y29-007-H_S182_MERGED.fastq.gz / Y29-007-M_S183_MERGED.fastq.gz ). #> Number of non-matching ASV 0 #> Number of matching ASV 1420 #> Number of filtered-out ASV 1385 #> Number of kept ASV 35 #> Number of kept samples 170 multipatt_pq(subset_samples(data_fungi_ab, !is.na(Time)), fact = \"Time\") #> Taxa are now in columns. #> Cleaning suppress 0 taxa and 0 samples.  multipatt_pq(subset_samples(data_fungi_ab, !is.na(Time)),   fact = \"Time\",   max.order = 1, control = permute::how(nperm = 99) ) #> Taxa are now in columns. #> Cleaning suppress 0 taxa and 0 samples."},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multiplot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Multiple plot function — multiplot","text":"","code":"multiplot(..., plotlist = NULL, cols = 1, layout = NULL)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multiplot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Multiple plot function — multiplot","text":"... list ggplot objects plotlist list ggplot objects cols number columns layout matrix specifying layout. present, 'cols' ignored.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multiplot.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Multiple plot function — multiplot","text":"Nothing. Print list ggplot objects","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multitax_bar_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot taxonomic distribution across 3 taxonomic levels and optionally\none sample factor — multitax_bar_pq","title":"Plot taxonomic distribution across 3 taxonomic levels and optionally\none sample factor — multitax_bar_pq","text":"Note lvl3 need nested lvl2 need nested lvl1","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multitax_bar_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot taxonomic distribution across 3 taxonomic levels and optionally\none sample factor — multitax_bar_pq","text":"","code":"multitax_bar_pq(   physeq,   lvl1,   lvl2,   lvl3,   fact = NULL,   nb_seq = TRUE,   log10trans = TRUE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multitax_bar_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot taxonomic distribution across 3 taxonomic levels and optionally\none sample factor — multitax_bar_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. lvl1 (required) Name first (higher) taxonomic rank interest lvl2 (required) Name second (middle) taxonomic rank interest lvl3 (required) Name first (lower) taxonomic rank interest fact Name factor cluster samples modalities. Need physeq@sam_data. set, taxonomic distribution plot samples together. nb_seq (logical; default TRUE) set FALSE, number ASV count. Concretely, physeq otu_table transformed binary otu_table (value different zero set one) log10trans (logical, default TRUE) TRUE, number sequences (ASV nb_seq = FALSE) log10 transformed.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multitax_bar_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot taxonomic distribution across 3 taxonomic levels and optionally\none sample factor — multitax_bar_pq","text":"ggplot2 graphic","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multitax_bar_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot taxonomic distribution across 3 taxonomic levels and optionally\none sample factor — multitax_bar_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/multitax_bar_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot taxonomic distribution across 3 taxonomic levels and optionally\none sample factor — multitax_bar_pq","text":"","code":"data(data_fungi_sp_known) multitax_bar_pq(data_fungi_sp_known, \"Phylum\", \"Class\", \"Order\", \"Time\")  multitax_bar_pq(data_fungi_sp_known, \"Phylum\", \"Class\", \"Order\")  multitax_bar_pq(data_fungi_sp_known, \"Phylum\", \"Class\", \"Order\",   nb_seq = FALSE, log10trans = FALSE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/mumu_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"MUMU reclustering of class physeq — mumu_pq","title":"MUMU reclustering of class physeq — mumu_pq","text":"See https://www.nature.com/articles/s41467-017-01312-x information original method LULU. wrapper mumu C++ re-implementation LULU Frédéric Mahé","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/mumu_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"MUMU reclustering of class physeq — mumu_pq","text":"","code":"mumu_pq(   physeq,   nproc = 1,   id = 0.84,   vsearchpath = \"vsearch\",   mumupath = \"mumu\",   verbose = FALSE,   clean_pq = TRUE,   keep_temporary_files = FALSE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/mumu_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"MUMU reclustering of class physeq — mumu_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. nproc (default 1) Set number cpus/processors use clustering id (default: 0.84) id --usearch_global. vsearchpath (default: vsearch) path vsearch. mumupath path mumu. See mumu installation instruction verbose (logical) true, print additional messages. clean_pq (logical) true, empty samples empty ASV discarded clustering. keep_temporary_files (logical, default: FALSE) keep temporary files","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/mumu_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"MUMU reclustering of class physeq — mumu_pq","text":"list object \"new_physeq\": new phyloseq object (class physeq) \"mumu_results\": log file mumu software. Run man mumu bash obtain details columns' signification.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/mumu_pq.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"MUMU reclustering of class physeq — mumu_pq","text":"function mainly wrapper work others. Please cite mumu lulu use function work.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/mumu_pq.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"MUMU reclustering of class physeq — mumu_pq","text":"MUMU: https://github.com/frederic-mahe/mumu VSEARCH can downloaded https://github.com/torognes/vsearch.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/mumu_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"MUMU reclustering of class physeq — mumu_pq","text":"Frédéric Mahé & Adrien Taudière adrien.taudiere@zaclys.net","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/mumu_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"MUMU reclustering of class physeq — mumu_pq","text":"","code":"if (FALSE) { data(data_fungi_sp_known) mumu_pq(data_fungi_sp_known) }"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/perc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert a value (or a fraction x/y) in percentage — perc","text":"","code":"perc(x, y = NULL, accuracy = 0, add_symbol = FALSE)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/perc.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert a value (or a fraction x/y) in percentage — perc","text":"x (required): value y y set, compute division x y accuracy number digits (number digits zero) add_symbol set TRUE add % symbol value","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/perc.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Convert a value (or a fraction x/y) in percentage — perc","text":"percentage value (number character add_symbol set TRUE)","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/perc.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Convert a value (or a fraction x/y) in percentage — perc","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/phyloseq_to_edgeR.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert phyloseq OTU count data into DGEList for edgeR package — phyloseq_to_edgeR","title":"Convert phyloseq OTU count data into DGEList for edgeR package — phyloseq_to_edgeR","text":"Convert phyloseq OTU count data DGEList edgeR package","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/phyloseq_to_edgeR.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert phyloseq OTU count data into DGEList for edgeR package — phyloseq_to_edgeR","text":"","code":"phyloseq_to_edgeR(physeq, group, method = \"RLE\", ...)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/phyloseq_to_edgeR.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert phyloseq OTU count data into DGEList for edgeR package — phyloseq_to_edgeR","text":"physeq (required): phyloseq-class object obtained using phyloseq package. group (required) character vector factor giving experimental group/condition sample/library. Alternatively, may provide name sample variable. name among output sample_variables(physeq), case get_variable(physeq, group) return either character vector factor. passed DGEList, may find details examples documentation. method label edgeR-implemented normalization use. See calcNormFactors supported options details. default option \"RLE\", scaling factor method proposed Anders Huber (2010). time writing, edgeR package supported following options method argument: c(\"TMM\", \"RLE\", \"upperquartile\", \"none\"). ... Additional arguments passed DGEList","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/phyloseq_to_edgeR.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Convert phyloseq OTU count data into DGEList for edgeR package — phyloseq_to_edgeR","text":"DGEList object. See edgeR::estimateTagwiseDisp() details.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/physeq_or_string_to_dna.html","id":null,"dir":"Reference","previous_headings":"","what":"Return a DNAStringSet object from either a character vector of DNA sequences\nor the refseq slot of a phyloseq-class object — physeq_or_string_to_dna","title":"Return a DNAStringSet object from either a character vector of DNA sequences\nor the refseq slot of a phyloseq-class object — physeq_or_string_to_dna","text":"Internally used vsearch_clustering(), swarm_clustering() asv2otu().","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/physeq_or_string_to_dna.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Return a DNAStringSet object from either a character vector of DNA sequences\nor the refseq slot of a phyloseq-class object — physeq_or_string_to_dna","text":"","code":"physeq_or_string_to_dna(physeq = NULL, dna_seq = NULL)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/physeq_or_string_to_dna.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Return a DNAStringSet object from either a character vector of DNA sequences\nor the refseq slot of a phyloseq-class object — physeq_or_string_to_dna","text":"physeq (required): phyloseq-class object obtained using phyloseq package. dna_seq may directly use character vector DNA sequences place physeq args. physeq set, dna sequences take value physeq@refseq","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/physeq_or_string_to_dna.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Return a DNAStringSet object from either a character vector of DNA sequences\nor the refseq slot of a phyloseq-class object — physeq_or_string_to_dna","text":"object class DNAStringSet (see Biostrings::DNAStringSet() function)","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/physeq_or_string_to_dna.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Return a DNAStringSet object from either a character vector of DNA sequences\nor the refseq slot of a phyloseq-class object — physeq_or_string_to_dna","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/physeq_or_string_to_dna.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Return a DNAStringSet object from either a character vector of DNA sequences\nor the refseq slot of a phyloseq-class object — physeq_or_string_to_dna","text":"","code":"dna <- physeq_or_string_to_dna(data_fungi) dna #> DNAStringSet object of length 1420: #>        width seq                                            names                #>    [1]   312 AAATGCGATAAGTAATGTGAAT...TAGGAATACCCGCTGAACTTA ASV2 #>    [2]   301 AAATGCGATAAGTAATGTGAAT...TAGGAATACCCGCTGAACTTA ASV6 #>    [3]   349 AAATGCGATAAGTAATGTGAAT...TGGGACTACCCGCTGAACTTA ASV7 #>    [4]   357 AAATGCGATAAGTAATGTGAAT...TGGGACTACCCGCTGAACTTA ASV8 #>    [5]   300 AAATGCGATAAGTAATGTGAAT...TAGGAATACCCGCTGAACTTA ASV10 #>    ...   ... ... #> [1416]   339 AATCGCGATATGTAGTGTGATC...GGGATTACCCGCTGAACTTAA ASV1712 #> [1417]   356 GAAACGCGATATGTAATCGTGC...TAGGACTACCCGCTGAACTTA ASV1714 #> [1418]   420 AACTGCGAAACGTCATGTGACC...TAAGGATACCCGCTGAACTTA ASV1716 #> [1419]   337 GAAGTGCGATAAGCAATGCGAA...CAGGATCACCCGCTGAACTTA ASV1719 #> [1420]   260 AAACGCGAAAAGTGTTATGATG...AAGATCACCCGCTGAACTTAA ASV1726  sequences_ex <- c(   \"TACCTATGTTGCCTTGGCGGCTAAACCTACCCGGGATTTGATGGGGCGAATTAATAACGAATTCATTGAATCA\",   \"TACCTATGTTGCCTTGGCGGCTAAACCTACCCGGGATTTGATGGGGCGAATTACCTGGTAAGGCCCACTT\",   \"TACCTATGTTGCCTTGGCGGCTAAACCTACCCGGGATTTGATGGGGCGAATTACCTGGTAGAGGTG\",   \"TACCTATGTTGCCTTGGCGGCTAAACCTACC\",   \"CGGGATTTGATGGCGAATTACCTGGTATTTTAGCCCACTTACCCGGTACCATGAGGTG\",   \"GCGGCTAAACCTACCCGGGATTTGATGGCGAATTACCTGG\",   \"GCGGCTAAACCTACCCGGGATTTGATGGCGAATTACAAAG\",   \"GCGGCTAAACCTACCCGGGATTTGATGGCGAATTACAAAG\",   \"GCGGCTAAACCTACCCGGGATTTGATGGCGAATTACAAAG\" ) dna2 <- physeq_or_string_to_dna(dna_seq = sequences_ex) dna2 #> DNAStringSet object of length 9: #>     width seq #> [1]    73 TACCTATGTTGCCTTGGCGGCTAAACCTACCCGG...ATGGGGCGAATTAATAACGAATTCATTGAATCA #> [2]    70 TACCTATGTTGCCTTGGCGGCTAAACCTACCCGGGATTTGATGGGGCGAATTACCTGGTAAGGCCCACTT #> [3]    66 TACCTATGTTGCCTTGGCGGCTAAACCTACCCGGGATTTGATGGGGCGAATTACCTGGTAGAGGTG #> [4]    31 TACCTATGTTGCCTTGGCGGCTAAACCTACC #> [5]    58 CGGGATTTGATGGCGAATTACCTGGTATTTTAGCCCACTTACCCGGTACCATGAGGTG #> [6]    40 GCGGCTAAACCTACCCGGGATTTGATGGCGAATTACCTGG #> [7]    40 GCGGCTAAACCTACCCGGGATTTGATGGCGAATTACAAAG #> [8]    40 GCGGCTAAACCTACCCGGGATTTGATGGCGAATTACAAAG #> [9]    40 GCGGCTAAACCTACCCGGGATTTGATGGCGAATTACAAAG"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_LCBD_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot and test local contributions to beta diversity (LCBD) of samples — plot_LCBD_pq","title":"Plot and test local contributions to beta diversity (LCBD) of samples — plot_LCBD_pq","text":"wrapper adespatial::beta.div() function case physeq object.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_LCBD_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot and test local contributions to beta diversity (LCBD) of samples — plot_LCBD_pq","text":"","code":"plot_LCBD_pq(   physeq,   p_adjust_method = \"BH\",   pval = 0.05,   sam_variables = NULL,   only_plot_significant = TRUE,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_LCBD_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot and test local contributions to beta diversity (LCBD) of samples — plot_LCBD_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. p_adjust_method (chr, default \"BH\"): method used adjust p-value pval (int, default 0.05): value determine significance LCBD sam_variables vector variables names present sam_data slot plot alongside LCBD value only_plot_significant (logical, default TRUE) plot LCBD values significant ones ... Others arguments passed adespatial::beta.div() function","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_LCBD_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot and test local contributions to beta diversity (LCBD) of samples — plot_LCBD_pq","text":"ggplot object build package patchwork","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_LCBD_pq.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot and test local contributions to beta diversity (LCBD) of samples — plot_LCBD_pq","text":"function mainly wrapper work others. Please make reference vegan::beta.div() use function.","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_LCBD_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot and test local contributions to beta diversity (LCBD) of samples — plot_LCBD_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_LCBD_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot and test local contributions to beta diversity (LCBD) of samples — plot_LCBD_pq","text":"","code":"data(data_fungi) plot_LCBD_pq(data_fungi_mini,   nperm = 100, only_plot_significant = FALSE,   pval = 0.2 ) #> Taxa are now in columns.  plot_LCBD_pq(data_fungi_mini,   nperm = 100, only_plot_significant = TRUE,   pval = 0.2 ) #> Taxa are now in columns.  library(\"patchwork\") plot_LCBD_pq(data_fungi_mini,   nperm = 100, only_plot_significant = FALSE,   sam_variables = c(\"Time\", \"Height\") ) #> Taxa are now in columns.  plot_LCBD_pq(data_fungi_mini,   nperm = 100, only_plot_significant = TRUE, pval = 0.2,   sam_variables = c(\"Time\", \"Height\", \"Tree_name\") ) &   theme(     legend.key.size = unit(0.4, \"cm\"),     legend.text = element_text(size = 10),     axis.title.x = element_text(size = 6)   ) #> Taxa are now in columns."},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_SCBD_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot species contributions to beta diversity (SCBD) of samples — plot_SCBD_pq","title":"Plot species contributions to beta diversity (SCBD) of samples — plot_SCBD_pq","text":"wrapper adespatial::beta.div() function case physeq object.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_SCBD_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot species contributions to beta diversity (SCBD) of samples — plot_SCBD_pq","text":"","code":"plot_SCBD_pq(   physeq,   tax_level = \"ASV\",   tax_col = \"Order\",   min_SCBD = 0.01,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_SCBD_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot species contributions to beta diversity (SCBD) of samples — plot_SCBD_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. tax_level Taxonomic level used y axis tax_col Taxonomic level colored points min_SCBD (default: 0.01) minimum SCBD value plot taxa ... Others arguments passed adespatial::beta.div() function","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_SCBD_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot species contributions to beta diversity (SCBD) of samples — plot_SCBD_pq","text":"ggplot object build package patchwork","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_SCBD_pq.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot species contributions to beta diversity (SCBD) of samples — plot_SCBD_pq","text":"function mainly wrapper work others. Please make reference vegan::beta.div() use function.","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_SCBD_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot species contributions to beta diversity (SCBD) of samples — plot_SCBD_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_SCBD_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot species contributions to beta diversity (SCBD) of samples — plot_SCBD_pq","text":"","code":"data(data_fungi) plot_SCBD_pq(data_fungi) +   geom_text(aes(label = paste(Genus, Species)), hjust = 1, vjust = 2) +   xlim(c(0, NA))   plot_SCBD_pq(data_fungi, tax_level = \"Class\", tax_col = \"Phylum\", min_SCBD = 0) +   geom_jitter()"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_deseq2_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot DESeq2 results for a phyloseq or a DESeq2 object. — plot_deseq2_pq","text":"","code":"plot_deseq2_pq(   data,   contrast = NULL,   tax_table = NULL,   pval = 0.05,   taxolev = \"Genus\",   select_taxa = NULL,   color_tax = \"Phylum\",   tax_depth = NULL,   verbose = TRUE,   jitter_width = 0.1,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_deseq2_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot DESeq2 results for a phyloseq or a DESeq2 object. — plot_deseq2_pq","text":"data (required) phyloseq-class DESeqDataSet-class object. contrast (required) contrast specifies comparison extract object build results table. See results man page details. tax_table Required data DESeqDataSet-class object. taxonomic table used find taxa color_taxa arguments. data phyloseq-class object, data@tax_table used. pval (default: 0.05) significance cutoff used optimizing independent filtering. adjusted p-value cutoff (FDR) value 0.05, pval set value. taxolev taxonomic level interest select_taxa Either name taxa (form DESeq2::results()) logical vector (length results DESeq2::results()) select taxa plot. color_tax taxonomic level used color color vector. tax_depth Taxonomic depth test differential distribution among contrast. Null analysis done OTU (.e. Species) level. Null, data need column name tax_table slot phyloseq-class object. verbose whether function print information computation jitter_width width jitter positioning ... Additional arguments passed DESeq ggplot","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_deseq2_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot DESeq2 results for a phyloseq or a DESeq2 object. — plot_deseq2_pq","text":"ggplot2 plot representing DESeq2 results","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_deseq2_pq.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot DESeq2 results for a phyloseq or a DESeq2 object. — plot_deseq2_pq","text":"Please cite DESeq2 package use chis function.","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_deseq2_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot DESeq2 results for a phyloseq or a DESeq2 object. — plot_deseq2_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_deseq2_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot DESeq2 results for a phyloseq or a DESeq2 object. — plot_deseq2_pq","text":"","code":"data(\"GlobalPatterns\", package = \"phyloseq\") GP <- subset_taxa(GlobalPatterns, GlobalPatterns@tax_table[, 1] == \"Archaea\") #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ GP <- subset_samples(GP, SampleType %in% c(\"Soil\", \"Skin\")) #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ res <- DESeq2::DESeq(phyloseq_to_deseq2(GP, ~SampleType),   test = \"Wald\", fitType = \"local\" ) #> converting counts to integer mode #> estimating size factors #> estimating dispersions #> gene-wise dispersion estimates #> mean-dispersion relationship #> final dispersion estimates #> fitting model and testing plot_deseq2_pq(res, c(\"SampleType\", \"Soil\", \"Skin\"),   tax_table = GP@tax_table, color_tax = \"Kingdom\" )  plot_deseq2_pq(res, c(\"SampleType\", \"Soil\", \"Skin\"),   tax_table = GP@tax_table, color_tax = \"Kingdom\",   pval = 0.7 )  plot_deseq2_pq(res, c(\"SampleType\", \"Soil\", \"Skin\"),   tax_table = GP@tax_table, color_tax = \"Class\",   select_taxa = c(\"522457\", \"271582\") ) #> None taxa present significant distribution pattern through #>               contrast. #> [1] \"None taxa present significant distribution pattern through\\n             contrast.\""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_edgeR_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot edgeR results for a phyloseq or a edgeR object. — plot_edgeR_pq","text":"","code":"plot_edgeR_pq(   physeq,   contrast = NULL,   pval = 0.05,   taxolev = \"Genus\",   color_tax = \"Phylum\",   verbose = TRUE,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_edgeR_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot edgeR results for a phyloseq or a edgeR object. — plot_edgeR_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. contrast (required):argument specifies comparison extract object build results table. See results man page details. pval (default: 0.05): significance cutoff used optimizing independent filtering. adjusted p-value cutoff (FDR) value 0.05, pval set value. taxolev taxonomic level interest color_tax taxonomic level used color assignation verbose (logical): whether function print information computation ... Additional arguments passed exactTest ggplot","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_edgeR_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot edgeR results for a phyloseq or a edgeR object. — plot_edgeR_pq","text":"ggplot2 plot representing edgeR results","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_edgeR_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot edgeR results for a phyloseq or a edgeR object. — plot_edgeR_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_edgeR_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot edgeR results for a phyloseq or a edgeR object. — plot_edgeR_pq","text":"","code":"data(\"GlobalPatterns\", package = \"phyloseq\") GP_archae <- subset_taxa(GlobalPatterns, GlobalPatterns@tax_table[, 1] == \"Archaea\") #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ plot_edgeR_pq(GP_archae, c(\"SampleType\", \"Soil\", \"Feces\"),   color_tax = \"Kingdom\" ) #> Conversion to edgeR format #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Perform edgeR binary test  if (FALSE) { plot_edgeR_pq(GP_archae, c(\"SampleType\", \"Soil\", \"Feces\"),   taxolev = \"Class\", color_tax = \"Kingdom\" ) }"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_guild_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot information about Guild from tax_table slot previously\ncreated with add_funguild_info() — plot_guild_pq","text":"","code":"plot_guild_pq(physeq, levels_order = NULL, clean_pq = TRUE, ...)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_guild_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot information about Guild from tax_table slot previously\ncreated with add_funguild_info() — plot_guild_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. levels_order (Default NULL) character vector reorder levels guild. See examples. clean_pq (logical, default TRUE): phyloseq object cleaned using clean_pq() function? ... params passed clean_pq() function","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_guild_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot information about Guild from tax_table slot previously\ncreated with add_funguild_info() — plot_guild_pq","text":"ggplot2 object","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_guild_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot information about Guild from tax_table slot previously\ncreated with add_funguild_info() — plot_guild_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_guild_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot information about Guild from tax_table slot previously\ncreated with add_funguild_info() — plot_guild_pq","text":"","code":"if (FALSE) {  df <- subset_taxa_pq(data_fungi, taxa_sums(data_fungi) > 5000) df <- add_funguild_info(df,   taxLevels = c(     \"Domain\", \"Phylum\", \"Class\", \"Order\",     \"Family\", \"Genus\", \"Species\"   ) ) p <- plot_guild_pq(df) library(\"patchwork\") (plot_guild_pq(subset_samples(df, Height == \"Low\"),   levels_order = p$data$Guild[order(p$data$nb_seq)] ) + theme(legend.position = \"none\")) +   (plot_guild_pq(subset_samples(df, Height == \"High\"),     levels_order = p$data$Guild[order(p$data$nb_seq)]   ) + ylab(\"\") + theme(axis.text.y = element_blank())) }"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_mt.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot the result of a mt test phyloseq::mt() — plot_mt","text":"","code":"plot_mt(mt = NULL, alpha = 0.05, color_tax = \"Class\", taxa = \"Species\")"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_mt.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot the result of a mt test phyloseq::mt() — plot_mt","text":"mt (required) Result mt test function phyloseq::mt(). alpha (default: 0.05) Choose cut p-value plot taxa. color_tax (default: \"Class\") taxonomic level color points. taxa (default: \"Species\") taxonomic level choose x-positioning.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_mt.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot the result of a mt test phyloseq::mt() — plot_mt","text":"ggplot2 plot result mt test","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_mt.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot the result of a mt test phyloseq::mt() — plot_mt","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_mt.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot the result of a mt test phyloseq::mt() — plot_mt","text":"","code":"# Filter samples that don't have Enterotype data_fungi <- subset_samples(data_fungi, !is.na(Time)) res <- mt(data_fungi, \"Time\", method = \"fdr\", test = \"f\", B = 300) #> B=300 #> b=3\tb=6\tb=9\tb=12\tb=15\tb=18\tb=21\tb=24\tb=27\tb=30\t #> b=33\tb=36\tb=39\tb=42\tb=45\tb=48\tb=51\tb=54\tb=57\tb=60\t #> b=63\tb=66\tb=69\tb=72\tb=75\tb=78\tb=81\tb=84\tb=87\tb=90\t #> b=93\tb=96\tb=99\tb=102\tb=105\tb=108\tb=111\tb=114\tb=117\tb=120\t #> b=123\tb=126\tb=129\tb=132\tb=135\tb=138\tb=141\tb=144\tb=147\tb=150\t #> b=153\tb=156\tb=159\tb=162\tb=165\tb=168\tb=171\tb=174\tb=177\tb=180\t #> b=183\tb=186\tb=189\tb=192\tb=195\tb=198\tb=201\tb=204\tb=207\tb=210\t #> b=213\tb=216\tb=219\tb=222\tb=225\tb=228\tb=231\tb=234\tb=237\tb=240\t #> b=243\tb=246\tb=249\tb=252\tb=255\tb=258\tb=261\tb=264\tb=267\tb=270\t #> b=273\tb=276\tb=279\tb=282\tb=285\tb=288\tb=291\tb=294\tb=297\tb=300\t #> r=14\tr=28\tr=42\tr=56\tr=70\tr=84\tr=98\tr=112\tr=126\tr=140\t #> r=154\tr=168\tr=182\tr=196\tr=210\tr=224\tr=238\tr=252\tr=266\tr=280\t #> r=294\tr=308\tr=322\tr=336\tr=350\tr=364\tr=378\tr=392\tr=406\tr=420\t #> r=434\tr=448\tr=462\tr=476\tr=490\tr=504\tr=518\tr=532\tr=546\tr=560\t #> r=574\tr=588\tr=602\tr=616\tr=630\tr=644\tr=658\tr=672\tr=686\tr=700\t #> r=714\tr=728\tr=742\tr=756\tr=770\tr=784\tr=798\tr=812\tr=826\tr=840\t #> r=854\tr=868\tr=882\tr=896\tr=910\tr=924\tr=938\tr=952\tr=966\tr=980\t #> r=994\tr=1008\tr=1022\tr=1036\tr=1050\tr=1064\tr=1078\tr=1092\tr=1106\tr=1120\t #> r=1134\tr=1148\tr=1162\tr=1176\tr=1190\tr=1204\tr=1218\tr=1232\tr=1246\tr=1260\t #> r=1274\tr=1288\tr=1302\tr=1316\tr=1330\tr=1344\tr=1358\tr=1372\tr=1386\tr=1400\t #> r=1414\t plot_mt(res) #> Warning: invalid factor level, NA generated #> Warning: Removed 27 rows containing missing values (`geom_point()`).  plot_mt(res, taxa = \"Genus\", color_tax = \"Order\") #> Warning: invalid factor level, NA generated #> Warning: Removed 27 rows containing missing values (`geom_point()`)."},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_tax_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot taxonomic distribution in function of a factor with stacked bar in % — plot_tax_pq","title":"Plot taxonomic distribution in function of a factor with stacked bar in % — plot_tax_pq","text":"alternative phyloseq::plot_bar() function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_tax_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot taxonomic distribution in function of a factor with stacked bar in % — plot_tax_pq","text":"","code":"plot_tax_pq(   physeq,   fact = NULL,   merge_sample_by = NULL,   type = \"nb_seq\",   taxa_fill = \"Order\",   print_values = TRUE,   color_border = \"lightgrey\",   linewidth = 0.1,   prop_print_value = 0.01,   nb_print_value = NULL,   add_info = TRUE,   na_remove = TRUE,   clean_pq = TRUE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_tax_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot taxonomic distribution in function of a factor with stacked bar in % — plot_tax_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. fact (required) Name factor cluster samples modalities. Need physeq@sam_data. merge_sample_by vector determine samples merge using merge_samples2() function. Need physeq@sam_data type \"nb_seq\" (default), number sequences used plot. \"nb_asv\", number ASV plotted. , return list two plots, one nbSeq one ASV. taxa_fill (default: 'Order'): Name taxonomic rank interest print_values (logical, default TRUE): print values plot? color_border color border linewidth line width geom_bar prop_print_value minimal proportion print value (default 0.01) nb_print_value number higher values print (replace prop_print_value set). add_info (logical, default TRUE) add title subtitle information total number sequences number samples per modality. na_remove (logical, default TRUE) TRUE remove samples NA split_by variable physeq@sam_data slot clean_pq (logical) set TRUE, empty samples discarded subsetting ASV","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_tax_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot taxonomic distribution in function of a factor with stacked bar in % — plot_tax_pq","text":"ggplot2 graphic","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_tax_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot taxonomic distribution in function of a factor with stacked bar in % — plot_tax_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_tax_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot taxonomic distribution in function of a factor with stacked bar in % — plot_tax_pq","text":"","code":"data(data_fungi_sp_known) plot_tax_pq(data_fungi_sp_known,   \"Time\",   merge_sample_by = \"Time\",   taxa_fill = \"Class\" ) #> 23 were discarded due to NA in variables present in formula. #> Cleaning suppress 3 taxa and 1 samples.   plot_tax_pq(data_fungi_sp_known,   \"Height\",   merge_sample_by = \"Height\",   taxa_fill = \"Class\",   na_remove = TRUE,   color_border = rgb(0, 0, 0, 0) ) #> 54 were discarded due to NA in variables present in formula. #> Cleaning suppress 52 taxa and 1 samples.   plot_tax_pq(data_fungi_sp_known,   \"Height\",   merge_sample_by = \"Height\",   taxa_fill = \"Class\",   na_remove = FALSE,   clean_pq = FALSE ) #> Warning: `group` has missing values; corresponding samples will be dropped"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_tsne_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot a tsne low dimensional representation of a phyloseq object — plot_tsne_pq","text":"","code":"plot_tsne_pq(   physeq,   method = \"bray\",   dims = 2,   theta = 0,   perplexity = 30,   fact = NA,   ellipse_level = 0.95,   plot_dims = c(1, 2),   na_remove = TRUE,   force_factor = TRUE,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_tsne_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot a tsne low dimensional representation of a phyloseq object — plot_tsne_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. method method calculate distance using vegan::vegdist() function (default: \"bray\") dims (Int) Output dimensionality (default: 2) theta (Numeric) Speed/accuracy trade-(increase less accuracy), set 0.0 exact TSNE (default: 0.0 see details man page Rtsne::Rtsne). perplexity (Numeric) Perplexity parameter (bigger 3 * perplexity < nrow(X) - 1, see details man page Rtsne::Rtsne) fact Name column physeq@sam_data used color points compute ellipses. ellipse_level level used stat_ellipse. Set NULL discard ellipse (default = 0.95) plot_dims vector 2 values defining rank dimension plot (default: c(1,2)) na_remove (logical, default TRUE) samples NA values fact removed? (default: true) force_factor (logical, default TRUE) Force fact column factor. ... : arguments passed Rtsne::Rtsne()","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_tsne_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot a tsne low dimensional representation of a phyloseq object — plot_tsne_pq","text":"ggplot object","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_tsne_pq.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot a tsne low dimensional representation of a phyloseq object — plot_tsne_pq","text":"Partially inspired phylosmith::tsne_phyloseq() function developed Schuyler D. Smith.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_tsne_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot a tsne low dimensional representation of a phyloseq object — plot_tsne_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/plot_tsne_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot a tsne low dimensional representation of a phyloseq object — plot_tsne_pq","text":"","code":"data(data_fungi) plot_tsne_pq(data_fungi, fact = \"Height\", perplexity = 15) #> Taxa are now in rows.  plot_tsne_pq(data_fungi, fact = \"Time\") + geom_label(aes(label = Sample_id, fill = Time)) #> Taxa are now in rows.  plot_tsne_pq(data_fungi, fact = \"Time\", na_remove = FALSE, force_factor = FALSE) #> Taxa are now in rows."},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/read_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Read phyloseq object from multiple csv tables and a phylogenetic tree\nin Newick format. — read_pq","text":"","code":"read_pq(   path = NULL,   taxa_are_rows = FALSE,   sam_names = NULL,   sep_csv = \"\\t\",   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/read_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Read phyloseq object from multiple csv tables and a phylogenetic tree\nin Newick format. — read_pq","text":"path (required) path folder read phyloseq object taxa_are_rows (required, default FALSE) see ?phyloseq details sam_names name variable (column) sam_data.csv rename samples. Note use write_phyloseq() function save physeq object, may use sam_names = \"X\" rename samples names . sep_csv (default tabulation) separator column ... arguments passed utils::write.table() function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/read_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Read phyloseq object from multiple csv tables and a phylogenetic tree\nin Newick format. — read_pq","text":"One four csv tables (refseq.csv, otu_table.csv, tax_table.csv, sam_data.csv) present phy_tree Newick format. least otu_table.csv need present.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/read_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Read phyloseq object from multiple csv tables and a phylogenetic tree\nin Newick format. — read_pq","text":"","code":"if (FALSE) { read_pq(path = \"phyloseq_data\") read_pq(path = \"phyloseq_data\", taxa_are_rows = TRUE) }"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/rename_samples.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Rename the samples of a phyloseq slot — rename_samples","text":"","code":"rename_samples(phyloseq_component, names_of_samples)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/rename_samples.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Rename the samples of a phyloseq slot — rename_samples","text":"phyloseq_component (required) one otu_table sam_data slot phyloseq-class object names_of_samples (required) vector samples names","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/rename_samples.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Rename the samples of a phyloseq slot — rename_samples","text":"otu_table sam_data slot new samples names","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/rename_samples.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Rename the samples of a phyloseq slot — rename_samples","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/rename_samples.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Rename the samples of a phyloseq slot — rename_samples","text":"","code":"otutab <- rename_samples(   data_fungi@otu_table,   paste0(\"data_f\", sample_names(data_fungi)) ) otutab2 <- rename_samples(   clean_pq(data_fungi,     force_taxa_as_rows = TRUE   )@otu_table,   paste0(\"data_f\", sample_names(data_fungi)) ) #> Taxa are now in rows. #> Cleaning suppress 0 taxa and 0 samples. samda <- rename_samples(   data_fungi@sam_data,   paste0(\"data_f\", sample_names(data_fungi)) )"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/rename_samples_otu_table.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Rename samples of an otu_table — rename_samples_otu_table","text":"","code":"rename_samples_otu_table(physeq, names_of_samples)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/rename_samples_otu_table.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Rename samples of an otu_table — rename_samples_otu_table","text":"physeq (required): phyloseq-class object obtained using phyloseq package. names_of_samples (required) new names samples","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/rename_samples_otu_table.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Rename samples of an otu_table — rename_samples_otu_table","text":"matrix new colnames (rownames taxa_are_rows true)","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/rename_samples_otu_table.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Rename samples of an otu_table — rename_samples_otu_table","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/rename_samples_otu_table.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Rename samples of an otu_table — rename_samples_otu_table","text":"","code":"rename_samples_otu_table(data_fungi, as.character(seq_along(sample_names(data_fungi)))) #> OTU Table:          [1420 taxa and 185 samples] #>                      taxa are columns #>      ASV2  ASV6  ASV7  ASV8 ASV10 ASV12 ASV13 ASV18 ASV19 ASV22 ASV23 ASV24 #> 1       1     0   767   578     0     0   638    30     0     0     0     0 #> 2      23 26776 10187     9     0     1    20     0     0     0     0     0 #> 3       1     0   263   399     0     0     4     3     0     0     0     0 #> 4     281     0    35   107     0  3186    87    29  2973     0     0     9 #> 5     260     0     0   829     0     0     0  1040     0     0     0     0 #> 6       0     0     0     2     0     0     0     0     0     0     0     1 #> 7       5     0  4215  1341     0     1     0    42     0     0     0     0 #> 8       1     1     0     0     0     0     0     0     0     0     0     0 #> 9       5     0     0     1     0     1     0     0     0     0     0     0 #> 10      5     0     0     3     0     1     0     0     0     0     0     0 #> 11     19     0     0     1  2168     0   108     0     0     0     0     0 #> 12      8     0     0     0    15     0    17     0     1     0     0     0 #> 13      7     0     0     0 14220     0   543     0     0     0     0     0 #> 14      5     0     1     0  1037  1338    46     0     0     0     0     0 #> 15     20     0     0     1   167     0     0     0     0     0     0     0 #> 16      5     0     0     7     0     0   121     0    51     0     0     0 #> 17      3     0     0     2     0     0     2     0     5     0     0     8 #> 18      3     0   539     2     2     0     0     0     4     0     0     0 #> 19      3     0     0     0     0     0     0     0     0     0     0     1 #> 20      7     0     0    36   224     0  1002    44     1     0     0     0 #> 21      5   274   238 11495     0     0   355   111     0     0     0     0 #> 22      0     3     0     0     0     0     0     0     0     0     0     0 #> 23      7     0     0    10     0     1     0     0     0     0     0     0 #> 24      6     0  2884     4   245     0  6337     0     0     0     0     0 #> 25     13     0     0  9741   121     0   142 11963     0     0     0     0 #> 26     11     0     0     0     0     0    18     0     0     0     0     0 #> 27      5     0     0     0    49     0     1     0     0     0     0     0 #> 28     98     0   873   336     0     0     0     7     6     0     0     0 #> 29     39     0  2351    80   269     1   220   630     0     0     0     0 #> 30      0     0     0     0     0     0     0     0     0     0     0     0 #> 31      0     0     0     0     0     0     0     0     8     0     0     0 #> 32      0     0     0     0     0     0     0     0     5     0     0     2 #> 33      0     0     0     0     0     0     0     0     0     0     0     0 #> 34      0     0     0     0     0     0     0     0     0     0     0     0 #> 35      1     0     0     0     0     0     0     0     0     0     0     0 #> 36      3     0     0     1     0     0     0     0     1     0     0   976 #> 37      7     0     0     6    58     6    10     0     0     0     0     0 #> 38      5     0    21     0     0     0     0     0     0     0     0     0 #> 39      0     0     0     0     1     0     0     0     0     0     0     0 #> 40      0     0     0     2     0     0     0     0     0     0     0     0 #> 41      1     0     0     0     0     0     0     0     0     0     0     0 #> 42     10     0   459     5  3269  9519    70     0     0     0     0     0 #> 43      0     0     0     0     0     0     0     0     0     0     0     0 #> 44      3     1     1     1    13     0    14     0     0     0     0   254 #> 45      1     0     0     1     0     0     0     0     1     0     0  3719 #> 46     19  9876     0     1    20     1     0     0     0     0     0     0 #> 47      5     0   994     8 12292     0    41  1845     0     0     0     0 #> 48      8     0     6     6     0     0     5     0     0     0     0     1 #> 49      2     0     0     1     0     0     3     0   642     0     0  4898 #> 50      4     0   880  1102   676     0   313    39     0     0     0     0 #> 51      0     0     0     1     0     0   251     0     0     0     0     0 #> 52   9409     0     0     1   131     0    89     0     0     0     0     0 #> 53      2     0     0     1     0     0     5     0     0     0     0     0 #> 54      7     2     0     0    52     0    23     0     0  3207     0     0 #> 55      9     0     0     4     0     0     0     0     0     0     0     0 #> 56      1     0     0     0     0     0     0     0     5     0     1    17 #> 57     10     0     0     6     1  3896   812  5685     0     0     0     0 #> 58      1     0     0     0     0     0     0     0  1321     0     0    55 #> 59      4  1990     0     0     0    43     2     0     0     0     0     5 #> 60   2719     0     0     3     0  7550    26     0  8062     0     0     0 #> 61   1201     0     0     2    28     0     0     0  1625     1     0     5 #> 62   2844     0     0     0     0     0    35     0  1070     0     0     0 #> 63     12    10    22    15   582     0  1291     0     0     0     0     0 #> 64     11     0  8964  1052     0     0   263    51     0     0     0     0 #> 65     10     0     0     0     0     0     0     0     0     0     0     0 #> 66      2     0     0     0     0     0     0     0     0     0     0     0 #> 67      0     0     0     0     0     0     0     0     0     0     0     0 #> 68      6    14     0     9     0     0     0     0    23     0     0  8701 #> 69      3     0     0     0     0     0     0     0     0     0     0     0 #> 70      3  3818     0     0     0     0     0     0     0     0     0     0 #>     ASV25 ASV26 ASV27 ASV28 ASV29 ASV31 ASV32 ASV33 ASV34 ASV35 ASV38 ASV41 #> 1       0   351     0     1     0     0     0     0     0     0     0     6 #> 2       0     0     0     0     0     0     0     0     0     0     9     0 #> 3       0     0     0     0     0     0     0     0   337     0     0     5 #> 4       0     0     0     0     0     0     0     0    31     0   337    22 #> 5       0     0     0     0     0     0     0     0     0     0     0     0 #> 6       0     0     0     0     0     0     0     0     0     0     0     0 #> 7       0     0     0     0     0     0     0     0     0     0     0     0 #> 8       0     0     0     0     0     0     0     0     0     0     0     0 #> 9       0     0     0     0     0     0     0     0     8     0     0     0 #> 10      0     0     6     0     0     0     0    19     0     0     0     0 #> 11      0     0     0    78     0     0     0     0     0     0     0     1 #> 12      0     0     0     0     0     0     0     0    16     0   437     0 #> 13      0     0     0     0     0     0     0     0     0     0     0     0 #> 14      0     0     0     0     0     0     0     0   643     0    12     0 #> 15      0     0     0     0     2     0     0     0     0     0     0     0 #> 16      0     0     0     1     0     0     0     0  3019     0     0 10572 #> 17      0     0     0     1     0     0     0     0  2437     0    19     0 #> 18      2     0     0     0     1     0     0     0   153     0   273     0 #> 19      0     0     0     0     0     0     0     0   593     0    37     0 #> 20      0     0     0     1     0   444     0     0     0     0     0     0 #> 21      0     0     0     0     0     0     0     0     0     0    30     2 #> 22      0     0     0     0     0     0     0     0     0     0     0     0 #> 23   9899     0     0     0     0     0     0     0     0     0     1     0 #> 24      0     0     0     0     0     0     0     0    47     0    71     0 #> 25      0     0     0     1     0     0     0     0     0     0     0     0 #> 26      0     0     0     0     0     0     0  7918     0     0     0     0 #> 27      0     0     0     0     0     0     0   171     0     0     0     0 #> 28      0     0     0     2     2     0     0     0     0     0     0     0 #> 29      0     0     0     1     0     0     0     0     0     0     0     0 #> 30      0     0     0     0     0     0     0     0     0     0     0     0 #> 31      0     0     0     0     0     0     0     0     0     0     0     0 #> 32      0     0     0     0     0     0     0     0     0     0     0     0 #> 33      0     0     0     4     0     0     0     0     0     0     0     0 #> 34      0     0     0     0     0     0     0     0     1     0     0     0 #> 35      0     0     0     0     0     0     0     0     0     0     0     0 #> 36      0     0     0     0     0     3     0     0     0     0     0     0 #> 37      1     1     0     0     0     0     0     0   949     0   764     0 #> 38     18     0     0     1     0     0   387     0   934     0   680     0 #> 39      0     0     0     0     0     0     0     0     0     0     0     0 #> 40      0     0     0     2     0     0     0     0     0     0     0     0 #> 41      0     0     0     0     0     0     0     0     0     0     0     0 #> 42      0     0     0     0     0     0     0     0     0     0     0     0 #> 43      0     0     0     2     0     0     0     0     0     0     0     0 #> 44      0     0     0     0     0     0     7     0     0     0  2682     0 #> 45      0     0     0     0     0     0     0     0     0     0     0     0 #> 46      0     0     0     0     0     0     0     0    98     0    37     0 #> 47      0     0     0     0     0     0     0     0     0     0    14     0 #> 48      0 14127     0     0     0     0     0     0     0     0     0     0 #> 49      0     0     0     0     0     0     0     0     0     0     0     0 #> 50      0     0     0     2     0     0     0     0   796     0     0     0 #> 51      0     0     0     0     0     0     0     0     0     0    57     0 #> 52      0     0     0     0     0     0     0     0     0     0     6     0 #> 53      1     0     0     0     0     0     0     0     0     0     0     0 #> 54      0     0     0     1     0     0     0     0     1     0     0     0 #> 55      0     0     0     0     0     0 15403     0   411     0   174     0 #> 56      1     0     0  2527     0     0     0     0     0     0     0     0 #> 57      5     0     0     1     0     0     0     0     4     0     0     0 #> 58      0   106     0     0     0     0     0     0     0     0     0     0 #> 59      0     0     0     3     0     0     0     0     0     0     0     0 #> 60      0   485     0     0     0     0     0     0     0     0     3     0 #> 61     66     0     0     0     0     0     0     0   207     0     3     0 #> 62      0     0     0     1     2     0     0     0     0     0     0     0 #> 63      0     0     0     2     0     0     0     0     2     0     0     0 #> 64      1     0     0     0     0     0     0     0     0     0     0     5 #> 65      0     1     0     0    77     0     0     0     0     0     0     0 #> 66      0     0     0     0     0     0     0     0     0     0     0     0 #> 67      0     0     0     0     0     0     0     0     0     0     0     0 #> 68      0    92     0     0    50     0     0     0     0    19     0     0 #> 69      0     0     0     0     0     0     0     0     0     0     0     0 #> 70      0     0     0     0     0     0     0     0     0     0     0     0 #>     ASV42 ASV43 ASV45 ASV46 ASV47 ASV48 ASV49 ASV50 ASV51 ASV52 ASV53 ASV54 #> 1       0     0     0     0     0     0     0     0     0     0     0     0 #> 2       0     0     0     0     0     0     0     0     0     0     0     0 #> 3       0     0     0     0     0     0     0     0     0     0     0     0 #> 4       0     0     0     0     0     0     0     0     0     0     0     0 #> 5       0     0     0     0     0     0     0     0     0     0     0     0 #> 6       3     0     0     0     0     0     0     0     0     0     0     0 #> 7       0     0     0     0     0     0     0     0     0     0     0     0 #> 8       0     0     0     0     0     0     0     0     0     0     0     0 #> 9       0     0   836  1230     0     0     0     0     0     0     0     0 #> 10      0     0     0     0     0     0     0     0     2     0     0     0 #> 11      0     0     0     0     0     0     0     0     2     0     0     0 #> 12      0 11042     0     1     0     0     0     0  1935    84     0     0 #> 13      0     0     0     0     0     0     0     0     0     0     0     0 #> 14      0     0     0     0     0     0     0     0     0     6     0     0 #> 15      0     1     0   589     0     0     0     0    23     0     0     0 #> 16      0     1     0     0     0     0   141     0     0    75     0     0 #> 17      0     0     0  1238     0     0     0     0    58     0     0     0 #> 18      0     0     0     0     0    22     0     0   678     0     0     0 #> 19      0     0     0     0     0     0     0     0     0     0     0     0 #> 20      0    31     0     0   315     0     0     0     0     0     0     0 #> 21      0     0     0     0     0     0     0     0     0     0     0     0 #> 22     46     0     0     0     0     0     0     0     0     0     0     0 #> 23  12194     0     0     0     0     0     0     0     0     0     0     0 #> 24      0     0     0     0     0     0     0     0     0     0     0     0 #> 25      0     0     0     0     0     0     0     0     0   176     0     0 #> 26      0     0     0     0     0     0     0     0     0     0     0     0 #> 27      0     0  9779     0     0     0     0     0     0     2     0     0 #> 28      0     1     0     0     0     0     0     0     0     0     0     0 #> 29      0     2     0     0     0     0     0     0     0     5     0     0 #> 30      0     0     0     0     0     0     0     0     0     0     0     0 #> 31      0     0     0     0     0     0     0     0     0     0     0     0 #> 32      0     0     0     0     0     0     0     0     0     0     0     0 #> 33      0     0     0     0     0     0     0     0     0     0     0     0 #> 34      0     0     0     0     0     0     0     0     0     0     0     0 #> 35      0     0     0     0     0     0     0     0     0     0     0     0 #> 36      0     0     0     0     0     0     0     0     0     0     0     0 #> 37      0     0     0     0     0     0     0     0     1     2     0     0 #> 38      0     0     0     0     0     0     0     0     0     0     0     0 #> 39      0     0     0     0     0     0     0     0     0     0     0     0 #> 40      0     0     0     0     0     0     0     0     0     0     0     0 #> 41      0     0     0     0     0     0     0     0     0     0     0     0 #> 42      0     0     0     0     0     0     0  9288  4385     0     0     0 #> 43      0     0     0     0     0     0     0     0     0     0     0     0 #> 44      0     0     0     0     0     0     0     0    71     0     0     0 #> 45      0     0     0     0     0     0     0     0   569     0     0     0 #> 46      0     0     0     0     0     0     0     0     0     0     0     0 #> 47      0     0     0     0     0     0     0   890     0   221     0     0 #> 48      0     0     0     0     0     0     0     0     0   102     0     0 #> 49      0     0     0     0     0     0     0     0     0     0     0     0 #> 50      0     0     0     0     0     0     0     0     0     6     0     0 #> 51      0     0     0     0     0     0     0     0  1894     0     0     0 #> 52      0     0     0     0     1     0     0     0     0     1     0  9895 #> 53      0     1     0     0     0     0  8927     0     0     0     0     0 #> 54      0     1     0     0     0     0     0     0     0     0     0     0 #> 55      0     0     0     0     0     0     0     0     0     0     0     0 #> 56      0     0     0     0     0     0     0     0     0     0     0     0 #> 57      0     0     0     0     0     0     0     0     0     0     0     0 #> 58      0     0    14     0     0     0     0     0     0     0     0     0 #> 59      0     0     0     0     0     0     0     0     0     0     0     0 #> 60      0     0     1     0     2     0     0     0     0     0     0     0 #> 61      0     4     0     0     0     0     0     0   431     0     0     0 #> 62      0     0     0     0     0     0     0     0     0     0     0     0 #> 63      2     0     0     0     0     0     0     0     0    95     0     0 #> 64      0     0     0     0     0     0     0     0     0     0     0     0 #> 65      0     0     0     0     0     0     0     0     0     0     0     0 #> 66      0     0     0     0     0     0     0     0     0     1     0     0 #> 67      0     0     0     0     0     0     0     0     0     0     0     0 #> 68      0     0     3     0     0     0  1143     0     0     0     1     0 #> 69      0     0     0     0     0     0     0     0     0     0     0     0 #> 70      0     0     0     0     0     0     0     0     0     0     0     0 #>     ASV55 ASV56 ASV57 ASV58 ASV59 ASV60 ASV61 ASV62 ASV63 ASV64 ASV65 ASV67 #> 1       0     0     0     0     0     0     0     0     0     0     0     0 #> 2       0     0     0     0     0     0     0     0     0     0     0     0 #> 3       0     0     0     0     0     0     0     0     0     0     0     0 #> 4       0     0     0     0     0     0     0     0     0     0     0     1 #> 5       0     0     0     0     0     0     0     0     0     0     0     0 #> 6       0     0     0     0     0    21     0     0     0     0     0     0 #> 7       0     0     0     0     0     0     0     0     0   116     0     0 #> 8       0     0     0     0     0     0     0     0     0     0     0     0 #> 9       0    66     0     0     0     0     0   498     0     0  8505     0 #> 10      0     0     0     0     0     0     0     0     0  8187     0     0 #> 11      0    16     0     0     0    53     0     0     0     0     1     0 #> 12     11     0    67     0     0     0     0     0     0     0     0     0 #> 13      0     0    55     0     0     9     0     0     0     0     0     0 #> 14     47     0     0     0     0     0     0     0     0     0     0     0 #> 15      0     0     0     0     0     0     0     0     0     0    18     0 #> 16      0     0     0     0     0     0     0     0     0     0     0     0 #> 17      0     0    36     0     0     0     0     0     0     0     7     0 #> 18      0     0   105     0     0     0     0     0     0     0    15     0 #> 19      0     0    11     0     0     0     0     0     0     0     0     0 #> 20      0     0     0     0  1207     0     0     0     0     0     0     0 #> 21      0     0     0     0     0     3     0     0     0     0     0     0 #> 22      0     0     0     0     0     0     0     0     0     0     0     0 #> 23      0     0     4     0     0     0     0     0     0     0     0     0 #> 24      0    27     1     0     0     0     0     0     4     0     0     0 #> 25      0    42     0     0     0     0     0     0     0     0     0     0 #> 26      0    12     0     0     0    13     0     0     0     0     0     0 #> 27      1   479     0     0     0     1     0     0     0     0     0     0 #> 28      1     0     0     0     0     0     0     0     0     0     1     0 #> 29      3     0     0     0     0     0     0     0     0     0     0     0 #> 30      0     0     0     0     0     0     0     0     0     0     0     0 #> 31      0     0     0     0     0     0     0     0     0     0     0     0 #> 32      0     0     0     0     0     2     0     0     0     0     0     0 #> 33      0     0     0     0     0     4     0     0     0     0     0     0 #> 34      0     0     0     0     0     0     0     0     0     0     0     0 #> 35      0     0     0     0     0     0     0     0     0     0     0     0 #> 36      0     0     0     0     0     4     0     0     0     0     0     0 #> 37      0     1     0     1     0     0  8066     0     0     0     0     0 #> 38      0     0    41     0     0     0     0     0     0     0     0     0 #> 39      0     0     0     0     0     1     0     0     0     0     0     0 #> 40      0     0     0     0     0     0     0     0     0     0     0     0 #> 41      0     0     0     0     0     1     0     0     0     0     0     0 #> 42      0     0    34     0     0     0     0     0     0     0     0     0 #> 43      0     0     0     0     0     8     0     0     0     0     0     0 #> 44      0     0     6     0     0     0     0     0     0     0     0     0 #> 45      0     0     0     0     0     0     0     0     0     0     0     0 #> 46      0     0    29     0  3216     0     0     0     0     0     0     0 #> 47      0     0     0     0     0    11     0     0     0     0     0     0 #> 48      0    13     0     0     1    24     0     0     0     0     0     0 #> 49      9     0    46     0     0     0     0     0     0     0     0     0 #> 50      0     0     0     0     0     4   706     0     0     0     0     0 #> 51      0     0     0     0     0     0     0     0     0     0     0     0 #> 52      0    35     0     0     0     0     0     0     0     0     1     0 #> 53      0  7868     0     0     0     0     0     0     0     0     0     0 #> 54      0    28     5     0     0     8     0     0     0     0     0     0 #> 55      0     0     0     0     0     0     0     0     0     0     0     0 #> 56      0     0     0     0     0    21     0     0     0     0     0     0 #> 57      1     0    66     0     0     0     0     0     0     0   131     1 #> 58      0     0     0     0     0     0     0     0     0     0     0     0 #> 59      0     0     0     0     0     0     0     0     0     0     0     0 #> 60      0     0     0     0     0     0     0     0     0     0     0  6570 #> 61   9306    33     0     0     0     0     0     0     4     0     0     0 #> 62      0     0     0     0     0     0     0     0     0     0     0     0 #> 63      0     0     0     0     0     0     0     0     0     0     0     0 #> 64      0     0     0     0     0     0     0     0     0     0     0     0 #> 65      0     0     0     0     0     0     0     0     0     0     0     0 #> 66      0     0     0     0     0     0     0     0     0     0     0     0 #> 67      0     0     0     0     0     0     0     0     0     0     0     0 #> 68      0     0     0   177     0    45     0     0     0     0     0     0 #> 69      0     0     0     0     0  6993     0     0     0     0     0     0 #> 70      0     0     0     0     0     0     0     0     0     0     0     0 #>     ASV68 ASV69 ASV70 ASV71 ASV72 ASV75 ASV77 ASV78 ASV79 ASV80 ASV81 ASV82 #> 1       0     0     0     0     0     0     0     0     0     0     0     0 #> 2       0     0     0     3     0     0     0     0    12     0     0     0 #> 3       0     0     0     0     0     0     0     0     0     0     0     0 #> 4       0     0     0    58     0     0     0     0     0     0     0     0 #> 5       0     0     0     0     0     0     0     0     0     0     0     0 #> 6       0     2     0     0     0     0     0     0     0     0     0     0 #> 7       0     0     0     0     0     0     0     0     0     0     0     0 #> 8       0     0     0     0     0     0     0     0     0     0     0     0 #> 9       0     0     0     0     0     0     0     0     0     0     0     0 #> 10      0     0     0     0     0     0     0  6005     0     0     0     0 #> 11      0     3     0    52     0     0     0     0     0     0     0     0 #> 12      0     0     0     1     0     0     0     0     0     0     0     0 #> 13      0     0     0     0     0     0     0     0     0     0     0     0 #> 14      0     0     0     0     0     0     0     0     0     0     0     0 #> 15      0     0     0     0     0     0     0     0     0     0     2     0 #> 16      0     0   315   182     0     0     0     0     0     0     0     0 #> 17      0     0     0    18     0     0     0     0     0     0     0     0 #> 18      0    10     0    48     0     0     0     0     0     0     0     0 #> 19      0     0     0     4     0     0     0     0     0     0     0     0 #> 20      0     0     2    53     0     0     0     0     0     0     4     0 #> 21      0     0     0    11     0     0     0     0    16     0     0     0 #> 22      0     0     0     0     0     0     0     0     0     0     0     0 #> 23   8414     0     0     0     0     0  7817     0     0     0     0     0 #> 24      0     4     0  2827   290     0     0     0     0    25     0     0 #> 25      0     0     0     0     0     0     0     0     0     0     0     0 #> 26      0     0     0     0     0     0     0     4     0     0     0     0 #> 27      0     0     0     0     0     0     0     0     0     0     0     0 #> 28      0    97     0     0     0     0     0     0     0     0     8     0 #> 29      0     0     0     1     0     0     0     0     0     0     0     0 #> 30      0     0     0     0     0     0     0     0     0     0     0     0 #> 31      0     0     0     0     0     0     0     0     0     0     0     0 #> 32      0     0     0     0     0     0     0     0     0     0     0     0 #> 33      0     0     0     0     0     0     0     0     0     0     0     0 #> 34      0  2836     0     0     0     0     0     0     0     0     0     0 #> 35      0    38     0     0     0     0     0     0     0     0     0     0 #> 36      0     0     0     0     0     0     0     0     0     0     0     0 #> 37      0     0     0     8     0     0     0     0     3     0     0     0 #> 38      0     0     0     0     0     0     0     0     0     0     0     0 #> 39      0    14     0     0     0     0     0     1     0     0     0     0 #> 40      0     2     0     0     0     0     0     0     0     0     0     0 #> 41      0     0     0     0     0     0     0     0     0     0     0     0 #> 42      0     1     0     7     0     0     0     0     0    45    74     0 #> 43      0     0     0     0     0     0     0     0     0     0     0     0 #> 44      0     0     0    19     0     0     0     0     0     0     0     0 #> 45      0     0     0     0     0     0     0     0     0     0     0     0 #> 46      0     0     0     0     0     0     0     0     0     0     0     0 #> 47      0     0     0    49     0     0     0     0     0     0     0     0 #> 48      0     0     0     0     0     0     0     0     0     0     0     0 #> 49      0     0     0     0     0     0     0     0     0     0     0     0 #> 50      0     0     0  1145     0     0     0     0     0     0     0     0 #> 51      0     0     0     0     0     0     0     0     0     0     0     0 #> 52      0     0     0     0     0     0     0     0     0     0     0     0 #> 53      0     0     0     0     0     0     0     0     0     4    37     0 #> 54      0     0     0    75     0     0     0     0     0  5961  7341     0 #> 55      0     0     0     0     0     0     0     0     0     0     0     0 #> 56      0     0     0     0     0     0     0     7     0     0     0     0 #> 57      0     0     0   459     0     0     0     0     0     0     0     0 #> 58      0     0     0     0     0     3     0     0     0     0     0     0 #> 59      0     0     0     0     0     0     0     0     0     0     0     0 #> 60      0     0     0   322     0     0     0     0     0     0     0     0 #> 61      0     0     0    16   308     0     0     0     0     5     3     0 #> 62      0     0     0    19     0     0     0     0     0     0     0     2 #> 63      0     0     0   271     0     0     0     1     0     4     3     0 #> 64      0     1     0     0     0     0     0     0     0     0     0     0 #> 65      0     0     0     0     0     0     0     0     0     0     0     0 #> 66      0     2     0     0     0     0     0     0     1     0     0     0 #> 67      0     0     0     0     0     0     0     0     0     0     0     0 #> 68      0     0     0     0     0     0     0     0     0     0     0     0 #> 69      0     0     0     0     0     0     0     0     0     0     0     0 #> 70      0     0     0     0     0     0     0     0     0     0     0     0 #>     ASV83 ASV84 ASV85 ASV87 ASV89 ASV90 ASV91 ASV92 ASV93 ASV94 ASV95 ASV96 #> 1       0  7302     0     0     0     0     0     0     0   153     0     0 #> 2       1     0     0     0     0     0     0     0     0     0     0     0 #> 3      84     0     0     0     0     0     0     0     0    43     0     0 #> 4       0     0    55     0     0     0     0     0     0     8     0     4 #> 5       0     0     0     0     0     0     0     0     0     0     0    75 #> 6       0     0     0     0     0     0    12     0     0     0     0     2 #> 7       0     0     0     0  1179     0     0     0     0   474     0     0 #> 8       0     0     0     0     0     0     0     0     0     0     0     0 #> 9       0     0     0     0     0     0     0     0     0     0     0     0 #> 10      0     0     0     0     0     0     0     0     0     0     0     0 #> 11      0     0     0     0   144     0     0     0     0     0     0   269 #> 12      0     0     0     1     0     0     0     0     0     0     0     0 #> 13     50     0     0     0    91     0     0     0     0     0     0     0 #> 14      1     0     0     0     0    50     0     0     0     0     0     0 #> 15      0     0     0     0     8     0     0     0     0     0     0     1 #> 16      0     0     0     0     0     0     0     0     0     0     0     0 #> 17      0     0    19     0     0     0     1     0     0     0     0     0 #> 18      0     0     0     0     0     0     0     0     1     0     1    28 #> 19      0     0   297     0     0     0     0     0     0     0     0     0 #> 20      0     0     0     0     7     0     0     0     0     0     0     0 #> 21      3     0     0     0     0     0     0     0     0   169     0     0 #> 22      0     0     0     0     0     0   187     0     0     0     0     0 #> 23      0     0     0     1     0     1     0     0     0     0     0     2 #> 24     45     0     0     0    12     6     0     0     0     0     0     0 #> 25    157     0     0     0     0     0     0     0     0     0    10    42 #> 26      0     0     0     0     5     0     0     0     0     0     0    36 #> 27      0     0     0     0     7     0     0     0     0     0     3   992 #> 28      0     0     0     0     0     0     0     0     0    68     3    94 #> 29    152     0     0     2     0     0     0     0     0   374     1     0 #> 30      0     0     0     0     0     0     0     0     0     0     0     2 #> 31      0     0     0     0     0     0     0     0     0     0     0     0 #> 32      0     0     0     0     0     0     0     0     0     0     0     0 #> 33      0     0     0     0     0     0     0     0     0     0     0     0 #> 34      0     0     0     0     0     0     0     0     0     0     1     0 #> 35      0     0     0     0     0     0     0     0     0     0     0    66 #> 36      0     0     0     0     0     1     0     0     0     0     0     0 #> 37      0     0  6715     0     4     0     0     0     0     0   199     0 #> 38      0     0     0    87     0     0     0     0     0     0     0     0 #> 39      0     0     0     0     0     0     0     0     0     0     0    18 #> 40      0     0     0     0     0     0     0     0     0     0     0     0 #> 41      0     0     0     0     0     0     0     0     0     0     0     0 #> 42      1     0     0     0     0     0     0     0     0     0     3    12 #> 43      0     0     0     0     0     0     0     0     0     0     0     0 #> 44     21     0     0     0     0    14     0     0     0     0     0     0 #> 45      0     0     0     0     0     0     0     0     0     0     0     0 #> 46      0     0     0   385     0     7     0     0     0     0     0     0 #> 47      0     0     0     0     0     0     0     0     0   461     0     0 #> 48   1462     0     0     0     0     0     0     0     0     0     0    25 #> 49      0     0     0     0     0     1     0     0     0     0     0    14 #> 50   1360     0     0     0     1     0     0     0     0   225     3    17 #> 51      0     0     0     0     0     0     0     0     0     0     0     0 #> 52      0     0     0     0    18     0     0     0     0     0     9     2 #> 53      0     0     0     0     0     0     0     0     0     0     0     0 #> 54    363     0     0     0     0    59     0     0     0     0    97    76 #> 55      0     0     0  3144     0     0     0     0     0     0     0     0 #> 56      0     0     0     0     0     0     0     0     0     0  1337     9 #> 57      0     0     0  1496     0    28     0     0     0     0     1     1 #> 58      0     0     0     0     0     0     0     0     0     0     0     0 #> 59      0     0     0     0     0   133     0     0     0     0   149     0 #> 60      0     0     0     0     0     0     0     0     0     0     0     0 #> 61      0     0     0     0   702   230     0     0     0     0     1     8 #> 62      0     0     0     0     0     7     0     0     0     0     0     0 #> 63     70     0     0     0     0     9     0     0     0     2     0     0 #> 64      0     0     0     0     0     0     0     0  5885   862     2     0 #> 65      0     0     4     0     0     0     0     0     0     0     0    14 #> 66      0     0     0     0     0     0     0     0     0     0     0     0 #> 67      0     0     0     0     0     0     0     0     0     0     0     0 #> 68      0     0     0     0     0     0     0     0     0     0     0   168 #> 69      0     0     0     0     0     0     0     0     0     0     0     0 #> 70      0     0     0     0     0     0     0     0     0     0     0     0 #>     ASV98 ASV99 ASV100 ASV101 ASV103 ASV104 ASV105 ASV106 ASV107 ASV108 ASV109 #> 1       0     0      0      0      0      0      0      0      0      0      0 #> 2       0     0      0      0      0      0      0      0      0      0      0 #> 3       0     0      0      0      0      0      0      0      0      0      0 #> 4       0     0      0      0      0      0      0      0      0      0     36 #> 5       0     0      0      0      0      0      0      0      0      0      0 #> 6       0     0      0      0      0      0      0      0      0      0      0 #> 7       0     0      0      0      0      0      0     11      0      0      0 #> 8       0     0      0      0      0      0      0      0      0      0      0 #> 9       0     0      0      0      0      0     68      0      0      0      0 #> 10      0     0      0      0      0      0      0      0     50      0      0 #> 11      1     0      0      0      0      0      0      0      0      0      0 #> 12      0     0      0      0      0      0      0      0      0      0     16 #> 13      0     0      0   4669      0      0      0      0      0      0     81 #> 14     26     0      0      0      0      0      0      0   1632      0   1490 #> 15      0     0      0      0      0      0      0      0      0      0      0 #> 16      0     0      0      0      0      0      0      0      0      0      0 #> 17      0     0      0      0      0      3      0      0      0      0      0 #> 18     12     0      0      0      0      0      0      0      0      0      0 #> 19      0     0      0      0      0      0      0      0      0      0      0 #> 20      0     0      0      0      0      0      0      0      0      0      0 #> 21      0     0      0      0      0      0      0      0      0      0    169 #> 22      0     0      0      0      0      0      0      0      0      0      0 #> 23      0     0      0      0      7      0      0      0      0      0      0 #> 24      0     0      0      0      0      0      0      0      0      0    682 #> 25      0     0      0      0      0      0      0     25      0      0      0 #> 26      0     0      0      0      0      0      0      0      0      0      0 #> 27      0     0      0      0      0      0      0      0      0      0      0 #> 28      0     0      0      0      0      0      0      0      0      0      0 #> 29      0     0      0      0      1      0      0      0      0      0      0 #> 30      0     0      0      0      0      0      0      0      0      0      0 #> 31      0     0      0      0      0      0      0      0      0      0      0 #> 32      0     0      0      0      0      0      0      0      0      0      0 #> 33      0     0      0      0      0      0      0      0      0      0      0 #> 34      0     0      0      0      0      0      0      0      0      0      0 #> 35      0     0      0      0      0      0      0      0      0      0      0 #> 36      0     0      0      0      0      0      0      0      0      0      0 #> 37      0     0      0      0      0      0      0      0      0      0      0 #> 38      0     0      0      0      0      0      0      0      0      0     37 #> 39      0     0      0      0      0      0      0      0      0      0      0 #> 40      0     0      0      0      0      0      0      0      0      0      0 #> 41      0     0      0      0      0      0      0      0      0      0      0 #> 42      0     0      0      0      0      0      0      0      0      0      2 #> 43      0     0      0      0      0      0      0      0      0      0      0 #> 44      0     0      0    646      0      0      0      0      0      0      0 #> 45      0     0      0      0      0      0      0      0      0      0      0 #> 46      0     0      0      0      0      0      0      0      0      0      0 #> 47      0     0      0      7      0      0      0      0      0      0      0 #> 48      0     0      0      0      0      0      0      0      0      0     13 #> 49      0     0      0      0      0      0      0      0      0      0      0 #> 50      0     0      0      0      0      0      0      0      0      0    369 #> 51      0     0      0      0      0      0      0      0      0      0      0 #> 52      0     0      0      0      0      0      1   5043      0      0      0 #> 53      0     0      0      0      0      0      0      0      0      0      0 #> 54      0     0      0      0      0      0      1      0      0      0      9 #> 55      0     0      0      0      0      0      0      0      0      0      0 #> 56      0     0      0      0      0      0      0      0      0      0      0 #> 57      0     0      0      0      0      0      0      0      0      0    610 #> 58      0     0      0      0      0      0      0      0      0      0      0 #> 59      0     0      0      0      0      0      0      0      0      0      0 #> 60      0     0      0      0      0      0      0      0      2      0      0 #> 61      1     0      0      0      0      0      0      1      0      0      0 #> 62      0     0      0      0      0      0      0      0      0      0      0 #> 63      0     0      0      0      0      0      0      1      0      0      0 #> 64      0     0      0      0      0      0      0     26      0      0      0 #> 65      0     0      0      0      0      0      0      0      0      0      0 #> 66      0     0      0      0      0      0      0      0      0      0      0 #> 67      0     0      0      0      0      0      0      0      0      0      0 #> 68      0     0      0      0      0      0      0      0      0      0      1 #> 69      0     0      0      0      0      0      0      0      0      0      0 #> 70      0     0      0      0      0      0      0      0      0      0      0 #>     ASV111 ASV112 ASV113 ASV115 ASV116 ASV118 ASV119 ASV120 ASV121 ASV122 #> 1        0      0      0      1      0      1      0     95      0      0 #> 2        7      0      4      0      1      0      0      0      0      0 #> 3        0      0      0      0      0      0      0     28      0      0 #> 4        0      2      0     16      0      0      0      7     53      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      4      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0    364      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0     14      0      0      0      0      0      0      0 #> 11       0      0     83      0      0      3      0      0      0      0 #> 12       0      6      0      9      0      0      0      0      0      0 #> 13       0      9      0      0      0      0      0      0      8      0 #> 14       0      3      0      0      0      0      0      0    508      0 #> 15       0      0      2      0      0      0      0      0      0      0 #> 16       0     41      0    201      0      0      0      0      0      0 #> 17      37      0      0   1019      0      0      0      0      0      0 #> 18       0      2     11   1417      0      0      0      0      0      0 #> 19       0      0      0    423      0      0      0      0      0      0 #> 20       0      5      0      4      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0    101    167      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      1      0      0      0      0      0      0 #> 24       0     14      0      0      0      0      1      0    128      0 #> 25       0      0     52      0      0      0   4556      0     14      0 #> 26       0      0      0      0      0      8      0      0      0      0 #> 27       0      0    504      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0     69      0      0 #> 29       0      3      0     96      1      0      0    267    487      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0     21      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0   1141      0      0      0      0      0 #> 37       0     28      0     45      0      0      0      0      4      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0     13      0      0      0      0      0      1      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0    139      0      0      0      0      0      0 #> 47       0     20      0      0      0      0      0    258     83      0 #> 48       0      6      0      0      0      0      0      0   1431      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0    408      0     19      0      0      1    141   1011      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      2      0      5      1      0      0      0      0      0 #> 53       0      0      1      0      2      0      0      0      0      0 #> 54       0      6   2504      4      0      0      0      0     10      0 #> 55    4837      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0   1134      0      0      0      0      0 #> 57       0     50      0     11      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      2      0      0      0      0 #> 60       0      0      0      0      0      0      0      0     21      0 #> 61       0      2      2      0      0      0      0      0      0      0 #> 62       0   2517      0     53      0      0      0      0      0      0 #> 63       0     22      8     21      0      0      2      4     37      0 #> 64       0      0      1      0      0      0      0    976      0      0 #> 65       0      0      0      0      0     20      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV124 ASV126 ASV127 ASV128 ASV129 ASV130 ASV131 ASV132 ASV133 ASV135 #> 1        0      2      0    130      0      0      0      0      0      0 #> 2        0      0      0      0      0      6      0      0      0      0 #> 3        0      0      0     36      0     75      0      0      0      0 #> 4        0      7      0      9      0     49      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0    353      0      0      0     35      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      1 #> 11       0      1      0      0      0      0      0     22      0      0 #> 12       0     24      0      0      0      0      0      0      0      0 #> 13       0      1      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0     62      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0    235      0      0      0 #> 18       0      0      0      0      0      0   2751      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      7      0      0      0      0      0      7      0      0 #> 21       0      6      0    317      0      0      0      2      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       1      0      0      0      0      0      0      0      0      0 #> 24       0   2065      0      0      0   2385      0      4      0      0 #> 25       0      0      0      0      0      0      0    116      0      0 #> 26       0      0      0      0      0      0      0     12   3949      0 #> 27       0      0      0      0      0      0      0    551      0      0 #> 28       0      0      0     51      0      0      0      0      0      0 #> 29       0      0      0      0      0    181      0      0      0      0 #> 30       0      0      0      0      2      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0    122      0      0      0      0      0 #> 34       0      0      0      0      7      0      0      0     74      0 #> 35       0      0      0      0      0      0      0      0     21      0 #> 36       0      0      0      0      6      0      0      0      0      0 #> 37       0      0      0      0   1696     25    877      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0    127      0      0      0      0      0 #> 42       6     18      0      0      2      1      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0    199      0      0      0      0 #> 47       0     13      0      0      0    342      0      0      0      0 #> 48       0      0      0      0      0     50      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0    167      0    186      0     83      0      6      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      0      0      3      0      0 #> 53       0      0      0      0      0      0      0      7      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      8      0      0 #> 57       0    226      0      0      0    658      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      0      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0     12      0      2      0      0      0      0      0      0 #> 64       0      0      0    560      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      5 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV136 ASV137 ASV138 ASV139 ASV142 ASV143 ASV144 ASV145 ASV146 ASV147 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0   3242      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      0      0 #> 12       0      0      0    141      0      0      0      0      0      0 #> 13       0      6      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0    672      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0     26      0      0      0      0      0      0 #> 17       0      0    652      0      0      0      0      0      7      0 #> 18       0      0      0      0      0      0   2924      0      0      0 #> 19       0      0      0      0      0      0      0      0     53      0 #> 20       0      0      0   1889      0      0      0      0      0      0 #> 21       0      0      0     13      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      5      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0     11      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0     10 #> 37       0      0      0      0      0      0      0      0      0      0 #> 38       0     12      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       3      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      2      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0     49      0 #> 45    1764      0      0      0      0      0      0      0      0      0 #> 46       0    129      0      0      0      0      0      0    858      0 #> 47       0      0      0      8      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      9      0     14      0      0      0      0      0      0 #> 50       1      0      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      5      0     45      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      1      0      0      0      0 #> 57       0     25      0      0      0      0      0      0    760      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0     31      0      0      0      0      0      0      0      0 #> 61       0      5      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      3      0      0      0      0      0      0 #> 64       0      0      0     18      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0    248      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0    743      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV148 ASV149 ASV150 ASV151 ASV152 ASV153 ASV154 ASV157 ASV158 ASV159 #> 1        0      0      0      0      0      0      0      0     48      0 #> 2        0    151      0      0      0      0      0      0      0      0 #> 3        0     37      0      0      0      0      0      0     11      0 #> 4        0     11      0      0      0      0      4      0     10      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0    224      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0     13      0      0      0      0      0      0 #> 10       0      0      0      0      0      1      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      0      0 #> 12       0      0      0      1      0      0      0      0      0     32 #> 13       0      2      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0     14 #> 15       0      0      0      1      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0    114 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      1      0      0      0      0      6      0      1      0 #> 21       0      9      0      0      0      0      8      0     95      0 #> 22       0      0      0      0      0      0      0      7      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0     11      0      0      0 #> 25       0      0      0      0      0      0      2   2826      0    259 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      1      0      0     37      0 #> 29       0      0      0      0      0      0     81      0    386      7 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0    126      0      0      0      0 #> 37       0      2      0      0      0      0      0      0      0      6 #> 38       0      1      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      1      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      5      0     19      0      0      0      0 #> 47       0      0      0      0      0      0    301      0    472    265 #> 48       0      0      0      0      0      0      0      0      0    119 #> 49       0      0      0      0      0   3119      0      0      0      0 #> 50       0    541      0      0      0      0    175      0     95     11 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      0      0      0      0      0 #> 53       0      0      0     65      0      0      0      0      0      0 #> 54       0     15      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0     41      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      0      0    281      0      0      0      0      0      0 #> 62       0    370      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0      1      0      1    107 #> 64       0   1767      0      2      0      0      0      0    437      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      1 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      3      0      0      1      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV162 ASV163 ASV164 ASV166 ASV167 ASV168 ASV170 ASV171 ASV172 ASV173 #> 1        0      0      0    270      0      0    104      0      0      0 #> 2        0      0      0     68     79      0      0      0      0      0 #> 3        0      0      0      0      0      0     22      0      0     33 #> 4        0      0      0     48    201      0      4      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0     11      0      0      0      0      0      0      0 #> 7        0      0     17     32      0      0    218      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        2      0      0      0      0      0      0      0      0     63 #> 10       0      0      0      0      0   2877      0      0      0      0 #> 11       0      3      4     34      0      0      0      0      0      0 #> 12       0      0      0     90     11      0      0      0      0      8 #> 13       0      0      0     53      0      0      2      0      3      0 #> 14       0      0      0    164    171      0      0      0     21      0 #> 15     985      0      0     24      0      0      0      0      5      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17    2068      0      0      3      0      0      0      1      0      0 #> 18       0      0      0     35      0      0      0      0      0      0 #> 19       0      0      0      0     30      0      0      0      0      0 #> 20       0      0      2      4      0      0      0      0    255      0 #> 21       0      0      7     12      0      0    269      0      0      0 #> 22       0      0      0      0      0      0      0      0      3      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0     98      0      0      0      0      0      0 #> 25       0      0      0      0      0      0      0      0     10      0 #> 26       0      0     32      0      0      0      0      0    145      0 #> 27       0      0     14      0      0      0      0      0    462      0 #> 28       0      0     48      0      0      0     47      0    393      0 #> 29       0      1      0      1      5      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      4      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0    797      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      2      0      0      0      2      0 #> 37       0      0      0      3      4      0      0      0      0      0 #> 38       0      0      0      0      0      0      0     55      0      0 #> 39       0      0      2      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      8      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      4      0      0      0      0      0      9 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0     16      0      0      0      0      0 #> 47       0      0      0      4      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      4     21      0      0      0      0      0 #> 50       0      0      0      0      0      0    141      0      0    322 #> 51       0      0      0      0      0      0      0      0      3      0 #> 52       0      0      0      4      0      0      0      0      2      0 #> 53       0      0      0      0      0      0      0      0    236      0 #> 54       0      0      0      5      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      2      0      0      0      0      0    308      0 #> 57       0      0      0     24     81      0      0      0      0      0 #> 58       0      0      0    493      0      0      0      0      0      0 #> 59       0      0      1      1      0      0      0    441     35      0 #> 60       0      0      0     61      0      0      0      0     19     10 #> 61       0      0      0      1      0      0      0      9      5   2353 #> 62       0      0      0      0      6      0      0      0      7      0 #> 63       0      0      0     25      0      0      2      0      0      0 #> 64       0      0      0      0      9      0    260      0      3      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0     86      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      2      0      0 #> 68       0      0      0     11      0      0      1      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV175 ASV176 ASV178 ASV179 ASV181 ASV182 ASV183 ASV186 ASV187 ASV189 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      1      0    128 #> 3        0      0      0      0      0      0      0     16      0     11 #> 4        0      0    292      0      0      0      0      0      1      2 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      3      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9     1295      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      3      0 #> 12      73      0      0      0      1      0      0      0      5      0 #> 13       0      0      0      0      3      0      0     28      3      1 #> 14       0      0      0      0     12      0      0      0     21      0 #> 15     165      0      0      0      0      0      0      0      0      0 #> 16       0      0     10      0      0      0      0      0      8      0 #> 17     383      0      4      0      0      0      0      0      1      0 #> 18      15      0      2      0      0      0      0      0      0      0 #> 19       2      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0   2175      0      0      0    106      0 #> 21       0      0      0      0      0      0      0      0      1      4 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      1      1      0      0      0 #> 24       0      0      0      0      0     10      0     24     24      0 #> 25       0      0      0      0     12      0      0     76    868      0 #> 26       0      0      0      0      0      0      0      0      5      0 #> 27       0      0      1      0      0      0      0      0      7      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0     67      0      2 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      1      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0    238      4 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0     39      0      1     24      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44      42      0      0      0      0      0      0      7      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       7      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      5      0      0      0      0      0 #> 48       0      0      0      0     54      0      0    465      2      0 #> 49       0      0     57      0      0      0      0      0      0      0 #> 50       0      0      0      0      5      0      0    423     12    310 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       8      0      0      0      0      0      0      0     78      0 #> 53       0      0      0      0      0      0      0      0    175      0 #> 54       0      0      0      0      0   1617      0    110      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      2      0      0      0      0      0      0      0 #> 57      12      0      0      0      0      0      1      0      0      0 #> 58       0      0     67      0      0      0      0      0      0      0 #> 59       0      3      0      0      0      0      0      0      0      0 #> 60       0      0   1215      0      0      0      0      0     10      0 #> 61       0      1    465      0      0      5      0      0      3      0 #> 62       0      0    221      0      0      0      0      0      3    209 #> 63       0   2409      0      0      0      2      0     22      1      0 #> 64       0      0      0      0      0      0      1      0    215   1485 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      1      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV190 ASV192 ASV193 ASV194 ASV195 ASV196 ASV197 ASV198 ASV199 ASV201 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      1      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      1      0      0      0      0      0     12      0 #> 12       0      0      0      0      0      0      0      0      0   1784 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      1 #> 16       0      0      0      0      0      0      0      0      1      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      5      0      0      0 #> 19       0      0      0      0      2      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      6 #> 21       0      0      0      0      0      0      0    260      0      0 #> 22       0      0      0    691      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      1 #> 24       0      0      0      0      0      0      0      0      0      0 #> 25       0      0      0      3      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0     21      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0   1861      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      2      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0    254      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      3      9      1      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      2      0      0      0      0      0      0      0      0 #> 53       0      0      0      0      0      0   2277      0      0      0 #> 54       0      0      0      0      0      0      0      0     20      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0     13      0      0      0      0      0      0      0      1 #> 57       0      0      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      1      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      0      0      0      0      0      3      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0      0      0      0      0 #> 64       0      0      1      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0   2122      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      6      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV202 ASV203 ASV205 ASV207 ASV208 ASV209 ASV210 ASV211 ASV212 ASV214 #> 1        0      0      0      0      0     52      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0    195 #> 3        0      0      0      0      0     13      0      0      0      9 #> 4     2283      0      0      0      0      2      0      0      0      8 #> 5        0      0      0      0      0      0      4      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0    197      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0     33      0      0 #> 10       0      3      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      7      0      0 #> 12       5      0      0      0      0      0      0      3      0      0 #> 13       0      0      0      0      0      0      0      0      0      4 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      1      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      4      0      2 #> 21       0      0      0      0      0    135      0      0      0      7 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0     11      0      0 #> 28       0      0      0      0    400     27      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0   2072      5 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      2      0      0 #> 43       0      0      0      0      0      0      2      0      0      0 #> 44       0      0      0   2186      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      4      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0    112      0      0      0    302 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      0      0      6      0      1 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      1      0      2 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      0      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0    215 #> 63       0      0      0      0      0      1      0      1      0      0 #> 64       0      0      0      0      0    283      0      0      0    763 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0    140      0      0      0      0      9      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV215 ASV216 ASV217 ASV219 ASV221 ASV222 ASV223 ASV224 ASV226 ASV227 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0     18      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0     39      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0   1961      0      0      0      0     56      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      6      0   1927      0      0      0      0      0 #> 12       0      5      1      0      0      0      0      0      0      0 #> 13       0      4      0      0      0      0      0      0      0      0 #> 14       0    803      4      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0    545      0      0      0      0      0      0      0      0 #> 17       0      0      0      1      0      0      0      0   1408      0 #> 18       0      0      0      1      0      0    298      0      0      0 #> 19       0      0      0      0      0      0      2      0      0      0 #> 20       0      0    140      0      0      0      0      0      0      0 #> 21       0      0     31      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0     71      0      0      0      0      0      0      0 #> 25       0      0    386      0      0      5      0      0      0      0 #> 26       0      0      2      0      0      0      0      0      0      0 #> 27       0      0      2      0      0      0      0      0      0      6 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0     15      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0     36 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      9    225      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      1     87      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0     13 #> 44       0    117      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0   1883      0      0      0      0 #> 46       0      8      0      0      0      0      0      0      0      0 #> 47       0      6      0      0      0      0      0      0      0      0 #> 48       0     37      1      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      3      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      4     31      0      0      0      2    312      0      0 #> 53       0      0     19      0      0      0      0      0      0      0 #> 54       0     13      0      0      0      0     24      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57    2023      1      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      1      0      0      0     61      0      0      0 #> 60       0      0      2      0      0      0      0      0      0      0 #> 61       0      0      1      0      0      0    633      0      0     24 #> 62       0      0      0      0      0      0     67      0      0   1684 #> 63       0      0      0      0      0      0      0      0      0     59 #> 64       0      0     28      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      1      0      0      0      0      3 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV228 ASV229 ASV230 ASV231 ASV233 ASV234 ASV235 ASV237 ASV238 ASV239 #> 1        0      0      0      0      0      7      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      5      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      7      0      2      0      2 #> 12       0      2      0      0      0     16      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      1      0     15      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16     242      0      0      0      0      5      0      0      0      0 #> 17       0      0      0      0      2      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      6      0      0 #> 19       0      0      0      0     30      0      0      0      0      0 #> 20       0      0      0      0      0    252      0      0      0      0 #> 21       0      0      0      0      0      1   1741      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0     50      0      0      0      0 #> 25       0      0      0      0      0      3      8      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      1      4      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      0      0 #> 38       0      0      0     94      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      1      0      0      0     17 #> 43       0      0      0      0      0      0      0      0      6      0 #> 44       0      0      0      8    144      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0    471      0      0      0      0      0 #> 47       0      0      0      0      0      0      3      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      7      0      0      0      0 #> 52       0      0      0      0      0      2      3      0      0     12 #> 53       0      0      0      0      0      0      0    238      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0   1145      0      0      0      0      0      0 #> 56       0      0   1839      0      0      0      0      0      0      0 #> 57       0      0      0      0    679      4      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      0      0      0      0      0      0      1      9      0 #> 62       0      0      0      0      0      0      0      0   1666      0 #> 63       0      0      0      0      0     24      1      0     11      0 #> 64       0      0      0      0      0      3      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV240 ASV242 ASV243 ASV244 ASV245 ASV246 ASV247 ASV248 ASV249 ASV251 #> 1        0      0      0      0      0      0      0      0      0      3 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0    622 #> 4        0      0      0      0      0      0      0      9      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0   1692      0      0      0      0      0      0      0      0 #> 9       47      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      2      0 #> 11       0      0      0      0      0      0      0      0      0      0 #> 12       0      0      0     13     39      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0     31      0      0      0      1      0    379 #> 17       2      0      0      0      5      0      0      0      0      0 #> 18      18      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0   1626      0      0      0      0      0 #> 20       0      0      0    577      0      0      0      0      0      0 #> 21       0      0      0     11      0      0   1288     32      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       1      0      0      0      0      0      0    420      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26     146      0      0      0      0    139      0      0      0      0 #> 27       0      0      0      2      0    317      0      0      0      0 #> 28       0      0   1574      0      0      0      0      0      0      0 #> 29       0      0      2      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      2      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      3      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      4      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      3      0      0      0     19      0      0 #> 48       0      0     44      0      0      0      0      0      0      0 #> 49       0      0      0      8      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0    849      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      3      0      0      1      2      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       2      0      0      0      0      0      0     13      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0     46      0      0      0      0 #> 57       0      0      0      0      0      0      0      1      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0     48      0      1      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61    1188      0      0      0      0      1      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      1      0      0      0    274      0      0 #> 64       0      0      0     16      0      0      0      0      0    547 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV253 ASV254 ASV255 ASV256 ASV257 ASV258 ASV260 ASV261 ASV262 ASV263 #> 1        0      0      0      0      0      0      0     25      0      7 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      3      0      8 #> 4        0      0      0      0      0      0      0      3      6     11 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0     71      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0     25      0      0      0      0      5      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      6      2 #> 12       0    168      0      0      0      0      0      0      4      1 #> 13       0      0      0      0      0      0      0      0      0     20 #> 14       0      0      0      0      0      0      0      0     23     22 #> 15       0      0      2    140      0      0      0      0      0      0 #> 16       0      0     12      0      0      0      0      0     25      0 #> 17    1594      0      0      9      0      0      0      0      6      0 #> 18       0      0      0    971      0      0      5      0     11      0 #> 19       0      0      3      0      0      0      0      0      4      1 #> 20       0      0      0      3      0      0      0      0      0     16 #> 21       0      0      0      0      0      0      0     94      0     48 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0    537 #> 25       0      0      0      0      0      0      7      1      0     24 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      1      0      0      1 #> 28       0      0      0      0      0      0      0     18      0      0 #> 29       0    178      0      0      0      0      0     68      0     66 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0     37      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      6      0      0      0 #> 37       0      0   1093      1      0      0     18      0   1253      0 #> 38       0      0     20      0     32      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      1      0      0      6 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0   1242      0      0      0      0      0      0      0      4 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0     18      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0    134      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0     45      0    138 #> 51       0      0      0      0      0     45      0      0      0      0 #> 52       0      0      1      0      0      0      1      0      0      4 #> 53       0      0      1     11      0      0      2      0      0      2 #> 54       0      0      0      0      0      0     42      0      1      1 #> 55       0      0    302      0   1496      0      0      0      0      0 #> 56       0      0      0      0      0      0     73      0      0      0 #> 57       0      0     55     28      0      0      1      2      4    135 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      1      0      0      7      0      3      0 #> 60       0      0      0      1      0      0      0      0     20      1 #> 61       0      0      1      1      0      0      0      0      3      0 #> 62       0      0      0      0      0      0      0      0      0      5 #> 63       0      0      0      0      0      0      0      0      0     74 #> 64       0      0      0      0      0      0      0    142      5      4 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV264 ASV265 ASV266 ASV267 ASV270 ASV271 ASV272 ASV273 ASV274 ASV277 #> 1        0      0      0      1      0      0      0      0      0      1 #> 2        0      0      0      3      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      1      0      0      0      0      0      0      2 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      1      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      1      0      0      0      0      3 #> 11       0      0      1      0      0      0      0    185      0     16 #> 12       0      0      0      0      0      0      0      0      0      7 #> 13       0     17      0      0      0      0      0      0      0      6 #> 14       0      0      0      0      0      0      0      0      0      1 #> 15       0      0      0      0      0      0      2      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      3      0      0      0      0      0      0      0 #> 18    1013      0      0      0      0      0      0      0      0      4 #> 19       0      0      1      0      0      0      0      0      0      0 #> 20       0     23      0      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0      0   1396      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      5      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0     19      0      0      0      0      0      0      0      0 #> 29       0     24      0      1      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0    147      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      0      3 #> 38       0      0      0      0      0      0      0      0      0     37 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0     12      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      2      0      0      0      0     71      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0     56      0      0      0      0      0      0     29 #> 45       0      0    105      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0     47      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0    463      0      0      5      0      0      0      0 #> 50       0      7      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       1      0      0      0      0      0      0      0      0      0 #> 53       0      0      0      0      0   1326     22      0      0      0 #> 54       0      0      0      0      0      0   1324      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       1      0      2      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0      0      0      0 #> 58       0      0      2      0      0      0      0      0      0    120 #> 59      32      0      1      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       4      0      2      0      0      0      3      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0      0      0      0      3 #> 64       0      0      0   1450      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0    268      0      0      0      0    906      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV278 ASV279 ASV280 ASV282 ASV283 ASV284 ASV285 ASV286 ASV287 ASV288 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      2      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9     1080      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      2      0      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      7      0 #> 14       0      0      0      0      0      0      0      0      9      0 #> 15       0      0      0      0      0      0      0      1      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17     143      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      2      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0    923      0 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0      0 #> 25       0      0      0      0      9      0      0      0     20      0 #> 26       0   1357      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0     18      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0     37      0      0      0      0      0      0      0      0 #> 35       0      5      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0    379      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0   1335 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      5      0 #> 48       0      0      0      0      0      0      0      0     53      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0      0      8      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      2   1325      0      0      2      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      0      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0      0      0      0      0 #> 64       0      0      0      0      5      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0   1336      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV292 ASV293 ASV294 ASV295 ASV297 ASV298 ASV300 ASV302 ASV305 ASV307 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0   1172 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      1      0      0      0      0      0 #> 11       1      0      0      0     13      0      2      1      0      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14      44      0      0      0      0      0      0      9      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18      10      0      0      0      0      0      0      4      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0     20      0      0      0      0      0      0 #> 25       0      0      0     43      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      5      3      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0     33      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      4      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      1      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      6      0      0      0      0      0      0 #> 47       0      0      0    102      0      0      0      0      0      0 #> 48       0      0      0      4      0      0      0      0      0      0 #> 49       0      0      0      9      0      0      0      0      0      0 #> 50       0      0      0     41      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      1      0      0      4      0      0      0 #> 53     444      0      0      0      0      0      0    502      0      0 #> 54       0      0      0      4      0      0      6      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      1      0      0      0      0      0      0 #> 57       0      0      0      7      0      0      1      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61     505      0      0      0      0      0     43      4      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0      2      0      0      0 #> 64       0      0      0      0      0      0      1      0      0      0 #> 65       0      0      1      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      1      0      0      0      0      0   1235      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV309 ASV310 ASV311 ASV312 ASV313 ASV314 ASV315 ASV316 ASV318 ASV320 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      1      0      0      0      2 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0    555      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0     12      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       2     12      0      0     19      0      0      0      0      0 #> 12       0      2      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       1      0      0      0      0      0      0      0      0      0 #> 16       0     47      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      9      0   1176      0      0     91      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       3      0      0      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      1      0      0      0 #> 24       7      0      0      0      2      0      0      3      0      0 #> 25       0      0      0      0      0     32      0      0      0      0 #> 26       7      0      0      0      0      0      0      0      0      5 #> 27      29      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      1      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      1      0     41      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       5      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0    588      0      0      0      0 #> 48       0      0      0      0      0     13      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0     53      0      0      0    527      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52     204      0      0      0     14      0      0      0      0      0 #> 53     616      0      0      0      0      0      0      0      0      0 #> 54      10      4      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56      25      0      0      0      0      0      0      0      0      5 #> 57       0      0      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0   1120 #> 59       0      0     57      0      0      0      0      0      0      0 #> 60       0      2      0      0      0      0      0      0      0      0 #> 61      20      3      0      0    107      0      4      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       4      0      0      0      0      2      0      0      0      0 #> 64       2      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      2      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV322 ASV323 ASV325 ASV327 ASV328 ASV329 ASV330 ASV332 ASV333 ASV334 #> 1        0    230      0      0     34      0      0      0      0      0 #> 2        0     35      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0    147      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      1      0      0      0      0 #> 7        0    108      0      0     87      5      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9      957     14      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      4      0      0      0      0 #> 11       0      0      0      0      0     67      0      0      0      0 #> 12       0      5      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      2 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      1      0 #> 17      41      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      1      0 #> 19       0      1      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       0      1      0      0     15      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      7      0      0      0      0 #> 27       0      0      0      0      0      2      0      0      0      0 #> 28       0      0      0      0      9      0      0      0      0      0 #> 29       0      0      1      0      0      1      0      0      0     81 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      1      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0   1059      0      0 #> 37       0     59      0      0      0      0      0      0      0      0 #> 38       0     39      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      3      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0     12 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       4      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      1      0      0      0 #> 46       0     15      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0     10      0      0      0      7 #> 48       0      0      0      0      0      9      0      0      0      0 #> 49       0      0      0      0      0     23      0      0      0      0 #> 50       0      3      0      0     45      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       1      0      0      0      0      0      0      0      0     10 #> 53       0      0      0      0      0      3      0      0      0      0 #> 54       0      2      0      0      0      0      0      0      0      0 #> 55       0    270      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      3      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0     21      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0     25      0      0      0      0      0      0    765      0 #> 61       0      1      0      0      0      0      0      0     15      0 #> 62       0      0      0      0      0     12      0      0     30      0 #> 63       0      0      0      0      0      0      0      0      0      3 #> 64       0      0      0      0    226      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0     17      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV336 ASV337 ASV338 ASV339 ASV340 ASV341 ASV342 ASV344 ASV345 ASV346 #> 1        0      0      0      0     76      0      0      0      0      0 #> 2        0      0      0      0      1      0      0      0      1     10 #> 3        0      0      0      0    138      0      0      0      0      0 #> 4        0      0      0      0     22      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0     28      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0     12      0      0      2      0      0 #> 12       0      0      0      0      3      0      4      0      0      0 #> 13       0      0      0      0     17      0      8    110      0    155 #> 14       0      0      0      0      5      0      3    339      0      0 #> 15       0      0      0      1      0      0      0      0      0      0 #> 16       0      0      0      0      1      0     20      0      0      0 #> 17       0      3      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      1      0 #> 19       0      0    213      0      0      0      0      0      0      0 #> 20       0      0      0      5      8      0      2      0      0      0 #> 21       0      0      0      0     10      0      0      0      0     10 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      1 #> 24       0      0      0      0     46      0      6      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      1      0      0      1      0      1      0      1    306 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0     56      0      4      0      7      0      0      0 #> 38    1053      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0     66    122      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0     88      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      9 #> 47       0      0      0      0      0      0      7      0      0      0 #> 48       0      0      0      0      0      0      0      0      0    373 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      1      0    141      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      1      2      0      0      0      0      0 #> 53       0      0      0     18      0      0      0      0      0      0 #> 54       0      0      0    930      0      0      1      8      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      7      0     27      0      0     40 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      3      0      0      0      0      0 #> 61       0      0      0      4      0      0      0      0      0      0 #> 62       0      0      0      0      0      0    448      0      0      0 #> 63       0      0      0      0     18      0      6      0      0      0 #> 64       0      0      0      0      0     22      0      0   1010      0 #> 65       0      0      3      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV347 ASV348 ASV349 ASV350 ASV351 ASV353 ASV355 ASV356 ASV357 ASV358 #> 1        0     24      0      0      0      0      0    311      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      1      0      0      0      0      0     12      0      0 #> 4        0      0      0      0      0      0      0     11      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      1      0      0      0      0 #> 7        0     83      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      8      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      1      0     11      0      2 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0     12      0      0 #> 14       2      0      0      0     68      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      1      0 #> 16       0      0      0      0      0      0      0      2     11      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0    676    289      0      0      0      0      0      4 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0     41      0      0 #> 21       0      4      0      0      0      0      0     15      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      1      0      0     88      0      3 #> 25       0      0      0      0      0      0      0     14      0      0 #> 26       0      0      0      0      0      0      0      1      0      0 #> 27       0      0      1      0      0      0      0      0      0      0 #> 28       0     12      0      0      0      0      0      0      0     55 #> 29       0      0      0      0      0      0      0      3      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0     17      0      0      0    103 #> 35       0      0      0      0      0    878      0      0      0      9 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      2      1      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0     33      0      0      0      8 #> 40       0      0      0      0      0      0      0      0      0      1 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      3      0      1 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      1      0      0      0    506      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46     738      0      0      0      0      0      1      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0     23      0      0      0      0      0     32      0      0 #> 51       0      0      0      0      0      0      0      9      0      0 #> 52       0      0      0      0      0      0      1      5      0      0 #> 53       0      0      0      0      0      0     16      0      0      0 #> 54       2      0      0      0      5      0      0      0      3      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0     45      1      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0     19      3      0      0      0      0      0      1 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61      26      0      2      0      8      0    254      0      0      0 #> 62       0      0      0      0      0      0      0      6      0      0 #> 63       0      0      0      0      0      0      0     75      0      0 #> 64       0    259      0      0      0      0      0     14      7      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV359 ASV360 ASV362 ASV364 ASV365 ASV366 ASV367 ASV368 ASV369 ASV371 #> 1        0      0      0      0      0     10      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      3      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7       11      0      0      0      0     48      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0    705      0      0      2      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0     36      0      0      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0     28      0      0 #> 15       0      0      0      0     14      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0    117      0      7      0      0      0      1      0 #> 18       0      0      0      0      4      0      0      8      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       0      0     46      0      0      6      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      6      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      2      1      0 #> 28       0    928      0      0      0      5      0      0      0      0 #> 29       0      0    191      0      0    160      0      0      2      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0    445 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0     65      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      1      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      2      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0     82      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0     20      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      0      0      0      3      0 #> 53       0      0      0      0      0      0      0    237      0      0 #> 54       0      0      0      0      0      0      0      1     35      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0    151      0    239      0 #> 57       0      0      0      0     93      0      0      0      1      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      4      0     20      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       1      0      0      0      0      0      0    300      0      0 #> 62       0      0     31      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0      0      0      0      0 #> 64       0      0      0      0      0    201      0      1      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0     24      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV372 ASV373 ASV375 ASV376 ASV377 ASV378 ASV379 ASV380 ASV381 ASV382 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      5      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      1      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      1      0      0      0      0 #> 12     776      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      2      0      0      0      0 #> 14       0      0      0      0     60     10      0      0      0      0 #> 15       1      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      1      0      0      0      0 #> 17       0      0      0      0      0      1      0      0      0      0 #> 18       8      0      0      3      0      0      0      0    841      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0     31      0      0      0      0 #> 21       0      0      0      0      0      1      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0    143      7      0      4      0      0 #> 25       0      0      0      0      0    298      0      0      0      0 #> 26       0      0      0      0      0      1      0      0      0      0 #> 27       0      0      0      0      0      1      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0     66      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42      34      0      0      0      0      5      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0     77      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      8      0      0      0      0      0 #> 47       0      0      0      0      0      1      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0    295      4      0      2      0      0 #> 51      54      0      0      0      0      0      0      0      0      0 #> 52       0      0    869      0      0     32      0      0      0      0 #> 53       0      0      0    698      0     75      0      0      0      0 #> 54       0      0      0      0      3      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      1      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      6      0      0      0      0 #> 61      10      0      3      6      0      4      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0    210      0      0      0      0      0 #> 64       0      0      0      0      0     78      0      2      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV383 ASV384 ASV385 ASV386 ASV388 ASV390 ASV393 ASV394 ASV395 ASV397 #> 1        0      0      0      0      0    135      0      0      0      0 #> 2        0      0      0      0      0      2      0      0      0      0 #> 3        0      0      0      0      0      3      0      0      0      0 #> 4        0      0      0      0      0     15      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0     20      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       4      0      0      0      0     11      0      0      3      0 #> 12       0      0      0      0      0      8      0      0      1      0 #> 13       0      0      0      0      0     17      0      0      0      0 #> 14       0      0      0      0      0      8      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      6      0      0      1      0 #> 21       0      0      0      0      0     11      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0     85      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      4      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      1      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0    798 #> 37       0      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       2      0      0      0      0      6      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0    100      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      3      0 #> 48       0      0     61      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      1      0      0      8      0 #> 53      17      0      0      0      0      0      0      0      0      0 #> 54     806      0      0      0      0      0      0      0      0      0 #> 55       0      0     99      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0     13      0      0      0      0 #> 58       0      0      0      0      0      0    810      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0    832      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0     26      0      0      1      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      1      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV399 ASV401 ASV402 ASV404 ASV405 ASV406 ASV407 ASV408 ASV409 ASV411 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0     62      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      1      0      0      0      0      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0     39      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0      0    243      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0    204      0      0      0      0      0      0 #> 25       0      0      0      0      0      0      0      0     82      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0    248 #> 28       0      0      0      0     28      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      5 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0    388      0      0      0      0      0 #> 35       0      0      0      0      2      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0    760      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      1      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      4      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0    777      0      0 #> 47       0      0      0      0      0      0      0      0      3      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0    280      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      2      0      0      0      0    179      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       3      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      1      0      0      0      0      2 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      0      0      0      0      0      0      0      0      2 #> 62       0      0      0      0      0      0      0      0      0     10 #> 63       0      0      0    176      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0    504 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV412 ASV413 ASV414 ASV415 ASV416 ASV417 ASV418 ASV419 ASV420 ASV422 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      4      0 #> 7        1      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      2      0 #> 9        0      0      0      0      0      1      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      1      0      0      0      0      0      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0    397      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0    755      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      2      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      1      0      0      0 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      1      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      2      0      0      0      0      0      0      0      0 #> 25       0      0      0      1      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0     16      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0     61      1      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0     37      0 #> 31       0      0      0      0      0      0      0      0     21      0 #> 32       0      0      0      0      0      0      0      0     43      0 #> 33       0      0      0      0      0      0      0      0      9      0 #> 34       0      0      0      0      0      0      0      0     34      0 #> 35       0      0      0      0      0      0      0      0     14      0 #> 36       0      0    751      0      0      0      0      0     47      0 #> 37       0      2      0      0      0      0      0      0      0      0 #> 38       0      0      0      0    756      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0     14      0 #> 40       0      0      0      0      0      0      0      0     16      0 #> 41       0      0      0      0      0      0      0      0      7      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      2      0      0      0      0      0      0      0      0 #> 47       0      3      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0    261      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52     764      0      0      0      0      0      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0    740      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      3      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0      0      0    709 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      1      0 #> 60       0      0      0      0      0      0      0      0      0      2 #> 61       0      0      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      1      0      0      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      0     28      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV423 ASV424 ASV426 ASV427 ASV428 ASV429 ASV430 ASV431 ASV432 ASV433 #> 1        0      0      0      0      0      0      0      0      0    713 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0     65      0      0 #> 8       13      0      0      0      0      0      0      0      0      0 #> 9        0      0      9      0     26      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0     15      0      0      0      0      0      0      0      0 #> 12       0      0      3      0      0      0      0      0      0      0 #> 13       0    386      1      0      0      0      0      0      0      0 #> 14       0    233     10      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0    146      1      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      5      0      0      0      0      0    723      0 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      2      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      8      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0     77      0      0      0      0      0      0      0 #> 29       0      1      0      0     43     16      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0     21      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      5      4      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      2      0     13      0    733      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0     44      0      0      0      0      0      0      0      0 #> 48       0      0     19    585      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0     25      4    418      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      2      0      0      0      0      0      0      0      0 #> 53       0      0    147      0      0      0      0      0      0      0 #> 54       0      2     50      0      0      1      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      2      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       2      2      1      0      0    284      0      0      0      0 #> 64       0      0     12      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV434 ASV438 ASV439 ASV440 ASV442 ASV443 ASV444 ASV445 ASV446 ASV448 #> 1        0      0      0      0      0      0      0     35      0      0 #> 2        0      0      0      0      0      0      0      2      0      0 #> 3        0      0      0      0      0      0      0      2      0      0 #> 4        0      0      0      0     14      0      0      2      0      0 #> 5        0      0      0      0      0      0      0      0     16      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0     11      0      0      0      0      0      0      6      2 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      1      0      0      0      2    629      9      0      0 #> 12       0      0      0      0      0      0      0      2      0      0 #> 13       0      0      0     10      0      0      0      7      0      0 #> 14       0      4      0      0      0     34      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      2      0      0      0 #> 18       0      0      0      0      0     13      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0     49      0      0      0      0      0      7      0      0 #> 21       0      9      0      0      0      0      0      5      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0     35      0     52      0      0      0     34      0      0 #> 25       0    186      0      0      0      0      0      0      0      0 #> 26       0      1      0      0      0      0      0      0      0      0 #> 27       0      3      0      0      0      1      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0     13      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      2      0      0      0      0      0 #> 37       0     71      0      0      0      1      0      0      0      0 #> 38       0      0    709      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42     169     44      0      0      0      0     11      1      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0    277      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0    101      0      0      0      0      0     20 #> 48       0      1      0      0      0      0      0      0      0     11 #> 49       0      0      0      0      1      0      0      0      0      0 #> 50       0      0      0     19      0      0      0      0      0      0 #> 51       0      0      0      0      0      0     33      0      0      0 #> 52       0     11      0      0      0      0      0      1      0      0 #> 53       0     10      0      0      0    158      0      0      0      0 #> 54       0      0      0      0      0      0      0      1      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      1      0      1      1      0      0      4      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      1      0      0      0      0      0      0      0      0 #> 60       0      0      0      2      0      0      0      0      0      0 #> 61       0      1      0      0      0    309      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0    113      0      0      0     24      0      0 #> 64       0     18      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV449 ASV451 ASV452 ASV453 ASV454 ASV456 ASV457 ASV458 ASV459 ASV460 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      7      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      2      0      0      0      0      0      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0    646      0      0      0      0      0 #> 15       0      0      0      3      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0    565      0      0      0      0      0      0      0 #> 18       0    245    100      0      0      0      0      0      0      0 #> 19       0      0      1      0      0      0      0      0      0      0 #> 20       0      0      0      3      0      0      0      0      0    103 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      2      0 #> 24       0      0      0      5      0     11      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      8      0      0      0      0      0      7 #> 27       0      0      0     19      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0    582      0    523 #> 29       0      0      0      0      0    304      2      0    300      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      3      0      0      2      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      5      0      2      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      1      0      0      1      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0    149      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0    234      0      0      0      0      0      0 #> 53       0      0      0    184      0      0      0      0      0      0 #> 54       0      0      0      3      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0     17      0      0      0      0      0      0 #> 57       0      0      0      0      0      5      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      3      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      0      0     15      3      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      3      0    123      0      0      0      0 #> 64       0      0      0      5      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV461 ASV462 ASV463 ASV464 ASV465 ASV466 ASV467 ASV468 ASV469 ASV470 #> 1        0      0      2      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0     27      0      0      0      0     55      0      0 #> 6        0      0      1      0      0      0      0      8      0      0 #> 7        0    322      0      0      0      0      0    118      0      0 #> 8        0      0      0      0      0      0      0      0      0    435 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      1      0      0 #> 11       0     12      1      1      0      0      0     33      0      0 #> 12       0      0      0      0      0      2      0      0      0      6 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      2      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      1      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20     258      0      0      0      0      0      0     13      0      0 #> 21       2      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      1      0      0      0      0      0      0      0 #> 24       0      0      2      0      0      0      0      0     11      0 #> 25       0      0      0      0      0      0      0      0     36      0 #> 26       0      0      5      0      0      0      0      0      0      0 #> 27       0      0      3      0      0      0      0      6      0      0 #> 28       0      0    373      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0     15      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      3      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0     47      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      1      0      0      0      0      2      0      3 #> 37       0      0      0      2      0      1      0      0      2      0 #> 38       0      0      0      0      0     81      0      0      0      0 #> 39       0      0      0      0      0      0      0      1      0      0 #> 40       0      0      0      0      0      0      0      0      0     13 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       1      0      2      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      4      0      0 #> 44       0      0      0      0      0      6      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46      90      0      0      0      0      0      0      0      3      0 #> 47      73      0      0      0      0      0      0      0     61      0 #> 48       0      0      0     33      0      0      0      0      9      0 #> 49       0      0      0      0      0      0      0     30      0      0 #> 50       0      0      0      0      0      0      0      0     22      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52      32      1      0      0      0      0      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      3      2      0 #> 55       0      0      0      0     19     72      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0      0      6      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      9 #> 61       0     64      0      0      0      0     14      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      2 #> 63       0      0      0      0      0      0      0      0      0      0 #> 64       5      0      0      0      0      0      0      1      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0     30      0      0      0      0      1      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV472 ASV473 ASV474 ASV475 ASV476 ASV477 ASV478 ASV479 ASV480 ASV481 #> 1        0      0      8      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0     12      0      0     57      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      5 #> 11      20      0      0      0      0      0      0      0      0      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13     176      0      0      0      0      0      0      0      0      0 #> 14       4      0      0      0      0      0      0      0      0      0 #> 15       1      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0    302      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0    602      0 #> 20      26      0      0      0      0      0      0      1      0      0 #> 21       1      0      5      0      0    205      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0     10 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24      57      0      0      0      0      0    188      0      0      0 #> 25       0      0      0    229      0     69     75      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29      17      0    125      0      0      0      0      0      0      0 #> 30       0      0      0      1      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      3      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0     42      0      0      0      0      0     10 #> 40       0      0      0      4      0      0      0      0      0     23 #> 41       0      0      0      3      0      0      0      0      0     25 #> 42      15      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      4      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      2      0      0      0      0 #> 47      19      0    275      0      0      6      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50      15      0      3      0      0      0      4      0      0      0 #> 51       1      0      0      0      0      0      0      0      0      0 #> 52       1      0      0      0      0    100      1      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0     13 #> 57       1      0      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0     42 #> 59       1      0      0      0      0      0      0      0      0     56 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      0      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63      86      0      0      0      0      0     31      0      0      0 #> 64       0      0     25      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV483 ASV484 ASV486 ASV487 ASV488 ASV489 ASV490 ASV491 ASV492 ASV493 #> 1        0      0      0      0      0      0      0      0      0      7 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      1 #> 4       79      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      3      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0     28 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      0      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      2    583      0      0      0      0 #> 17      25      0      0    590      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19     406      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0      0      0     92 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0     47      0      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      1      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0    593      0      0      0      0      0      0      0      0 #> 37      73      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      2      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0     41      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0     97      0     59      0      0     15 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      0      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      1      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       1      0      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      8      0      0      0      0      0 #> 61       0      0      0      0      0      0      0      0     15      0 #> 62       0      0      0      0     10      0      0      0      0      0 #> 63       0      0      0      0    359      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0     30 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV494 ASV495 ASV496 ASV497 ASV498 ASV499 ASV500 ASV501 ASV502 ASV504 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0     41      0      0      0 #> 3        0      0      0      0      0      0    435      0      0      0 #> 4        0      0      0      0      0      0      0      6      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0    404 #> 8        0      0      0      0      0      0      1      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      0      0 #> 12       3      0      0      0      0    523      0      1      0      0 #> 13     107      0      0      0      0      0      0     16      0      0 #> 14      37      0      0      0      0      0      0     83      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16      16      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20      82      0      0      0      0      0      0      0      0      0 #> 21       4      0      0      0      0      0      0     16      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       1      0      0      0      0      0      0      0      0      0 #> 24       3      0      0      0      0      0      0    212      0      0 #> 25       0      0      0      0      0     19      0      0      0      2 #> 26       0      0    158      0      0      0      0      0      0      4 #> 27       0      0      7      0      0      0      0      0      0      0 #> 28       0      0    181      0      0      0      0      0      0      0 #> 29       0      0      0    579      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      5      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      1      0      0      0      0      0      0      0 #> 37       4      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      5      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42      11      0      0      0      0      0      0      0     16      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0     95      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      6      0      0      0      0      0 #> 47       4      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      1      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0     19      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       2      0      0      0      0      0      0      0     14      9 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0     87      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      8      0      0      0      0      0      0      0 #> 60       2      0      0      0      0      0      0      0      0      0 #> 61      80      0      5      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0     47 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      7      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV505 ASV507 ASV508 ASV509 ASV511 ASV512 ASV514 ASV515 ASV516 ASV517 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      2      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6       40      0      0      7      0      0      0      0      0      0 #> 7        0      0    187      0      0      0      3      0      0      0 #> 8        2      0      0      8      0      0      0      2      0      0 #> 9        0      0      8      0      0     68      0      0      0      0 #> 10       2      0      0     25      0      0      0      0      0      0 #> 11       0      0      0      0      0      2      0      0      0      0 #> 12       0      5      0      0      0      1      0      0      0      0 #> 13       0      0      0      0      0      0      0      0    471      0 #> 14       0      0    201      0      0      0      0      0     39      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0    406     13      0      0      0      0      0      0      0 #> 17       0      0     11      0      0      0      0      0      0      0 #> 18       0      0      5      0     14      0      0      0      2      0 #> 19       0      0      0      0      3      0      0      0      0      0 #> 20       0    109      0      0      0      0      0      0      0      3 #> 21       0      0      0     28      0     23     32      0      0      0 #> 22      34      0      0     25      0      0      0      0      0      0 #> 23       0      0      4      0      0      0      0      0      0      0 #> 24       0      0      0      0      0    174      3      0      0      0 #> 25       0      0      0      0      0      0     35      0      0     11 #> 26       6      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      9      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0     23     13      0      0      0 #> 30      22      0      0      1      0      0      0      0      0      0 #> 31      11      0      0      1      0      0      0      0      0      0 #> 32      23      0      0      0      0      0      0      0      0      0 #> 33       1      0      0     11      0      0      0      0      0      0 #> 34       2      0      0      8      0      0      0      0      0      0 #> 35       3      0      0      3      0      0      0      0      0      0 #> 36       1      0      0      0      0      0      0      0      0      0 #> 37       0      0     16      0      0     65      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       4      0      0      5      0      0      0      0      0      0 #> 40      13      0      0      8      0      0      0      0      0      0 #> 41       3      0      0     37      0      0      0      0      0      0 #> 42       0      1      2      0      0      1      0      0      0     40 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0     14      0      0     21      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      3      0      2      0      0      0 #> 47       0      0      7      0      0      3     78      0      0      0 #> 48       0      9      0      0      0     15     46      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      5     11      0      2      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0     45      0      0     11      0      0      0     62 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      8      0      0      0      1 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      6      0      0      0      0      0      0      0      0 #> 57       0      0      2      0     23      7      0      0      0      0 #> 58       6      0      0     12      0      0      0      0      0      0 #> 59       3      0      0     11      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      0      0      0      0      4      0      0      0      1 #> 62       0      0      0      0      0      0      0      0      3      0 #> 63       5      0      0      0      0      2      0      0      0      0 #> 64       0      0      0      0      0      8      0      0      1      3 #> 65       0      0      0     74      0      0      0      0      0      0 #> 66       0      0      0     20      0      0      0      0      0      0 #> 67       0      0      0     32      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV519 ASV520 ASV521 ASV522 ASV523 ASV524 ASV526 ASV527 ASV528 ASV529 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        3      0      0     16      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        4      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      2      0      0      0      0      0 #> 7        0      0      1      4      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0    531      0      0      0      0 #> 10       0      0      0      0     58      0      0      0      0      0 #> 11       2      0     19      0      0      0      0      1      0      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       9      0    106      0      0      0      0      0      0      0 #> 14       0      0     11      0      0      0      0      0      0    520 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       1      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0     54      0      0      9      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20      87      0     16      0      0      0      0      0      0      0 #> 21       2      0      3      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0     11      1      0      0      0      0      0      0 #> 25       0      0      2      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       1      0     10      1      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      7      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      1      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      1      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0     10     17      0      0      0      0      0      0 #> 48       0      0      0      5      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      7    149      0      0      0      0      0      0 #> 51       0      0      2      0      0      0      0      0      0      0 #> 52      31      0      7      0      0      0      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      1      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0     13      0      0      0      0      0 #> 57      14      0      4     30      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       6      0      0      1      0      0      0      0      0      0 #> 61       0      0      0      0      0      0      0      0      0      0 #> 62       9      0      0      0      0      0      0      0      0      0 #> 63       0      0     40     60      1      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      6      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      1      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0    424      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV530 ASV531 ASV532 ASV533 ASV534 ASV535 ASV536 ASV537 ASV538 ASV539 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      1      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0    166      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      7      0      0      0      0 #> 7        0      0      0      0    272    100     51      0      0      0 #> 8        0      0      0      0      0      0      0      0      0    174 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      5      0      0      0      0      0 #> 12       0      0      0    434      0      6      2      0      0      1 #> 13       0      0      0      0      0     23      3      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0     43      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      4      0      1      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      2      0 #> 21       0      0      0      0      0      0      0      0      2      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      1      0      0      0      0 #> 24       0      0      0      0      0     34      0      0      4      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0     61      0 #> 30       0      0      0      0      0      4      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      5      0      0      0      3 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0     10      0      0      0      2 #> 37       0      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0     22      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0    195 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      3      0      1      0      0      1      1 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0     46      0      0      0      0      0      0      0     19 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      4      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0     32      0 #> 49       0      0      0      0      0      0     20      0      0      0 #> 50       0      0      0     62      0      0      0      0      0      0 #> 51       0      0      0      0      0      0    242      0      0      0 #> 52       0      0      0      0      0      0      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      2      0      0     53      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0    518      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0      0     20      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      2 #> 61       0      0      0      0     31      0      0      0      1      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      6      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0     10      0      0      0      1 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       9      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV540 ASV541 ASV542 ASV543 ASV544 ASV545 ASV546 ASV547 ASV548 ASV549 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      8      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      5      0      0     10      0      0      0 #> 12       0      0      3      0      0      0      0      0      0      2 #> 13       0      0      0      0      0     13      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      8      0      0      0 #> 16       0      0    367     78      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      3      0      0      0 #> 19       0      0      0      3      0      0      0      0      0      0 #> 20       0      0     58      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0     40      1      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0     27      0      0      0 #> 27       0      0      5      0      0      0     44      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      2      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      1 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      1      0      3      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      4      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0     34      0      0      0      0 #> 48       0      0     37      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      8      3      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0    257      0      2      0      0      3      0    483      0 #> 53       0      0      0      0      0      0      2      0      0      0 #> 54       0      0      0      4    491      0      1      0      0      0 #> 55     501      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0      0      0    466 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      5      0      0      0      0      0      0      0      1 #> 61       0     67      0      0      0      0      0      0      0      0 #> 62       0      5      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0    398      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      1      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV550 ASV551 ASV552 ASV553 ASV554 ASV555 ASV556 ASV557 ASV558 ASV559 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0    489      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4       11      0      0      0      0      0      0      0      0      0 #> 5        0      0      0     15      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0    188      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0     12      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      0      3 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      1 #> 14       0    182      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0     11      0      0      0      0      0      0      0      0 #> 17       0      6      0      0      0      0      0      0      0      0 #> 18       0      7      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0     65 #> 21       6      0      0     12      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24      22      0      0      0      0      0      0      0      0     36 #> 25       1      0      0      0      0      0      0      0      0      0 #> 26       0      0      0     22      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      2 #> 28       0      0      0     91      0      0      1      0      3      0 #> 29       0      0      0      0      0      0      0      0      2      1 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      3      0      0      0 #> 34       0      0      0     19      0      0    320      0      0      0 #> 35       0      0      0      0      0      0      7      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       1     20      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0     16      0      0      3      0      0      0 #> 40       0      0      0      0      0      0      1      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       8      3      0      0      1      0      0      0      0      1 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       5      0      0      0      0      0      0      0      0      0 #> 47      20      1      0      0      0      0      0      0      0     17 #> 48      12      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50      27      0      0      0      0      0      0      0      0      9 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0     33      0      0      0      0      0      0      0      1 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       3      0      0      0      0      0      0      0      0      1 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57      51      2      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60      16      0      0      0      0      0      0      0      0     32 #> 61       4      0      0      0      0      0      0      0      0      1 #> 62      10      0      0      0      0      0      0      0      0      0 #> 63      26      0      0      0      0      0      0      0      0      1 #> 64       1      0      0      0      0      0      0      0      0      3 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0    111      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0     16      0 #> 69       0      0      0      0      0      0      0      0      2      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV560 ASV561 ASV562 ASV563 ASV564 ASV565 ASV566 ASV567 ASV568 ASV569 #> 1        0      0      0     13      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0     17      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      2      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      1      0      0      0 #> 12       0      0      0      0      0      0      0      0      0      4 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0     12      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      2      0      0      0 #> 19       0      0     27      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0    357 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      3 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0     26      0      0 #> 37       0      0      3      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0     21 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0     11      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0    432      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      1      0      0      5      0      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0    447      0      0 #> 57       0      0      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      1      0      0      0      0      0 #> 61       0      0      0      0      1      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV570 ASV571 ASV572 ASV573 ASV574 ASV576 ASV577 ASV578 ASV579 ASV580 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        2      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      4      0      0      0      3    157      0      0      0 #> 5        0      0      0      0      0      1      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      9      0      0      0    292      0      0      0 #> 10       0      0      0      0      0      0      0      0      0     10 #> 11       0      3      4      0      0      0      0      0      0      0 #> 12       0      0      0      1    262      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      1      0      0      0      0      0      0 #> 16       0      0      0      0      0      0     10      0      0      0 #> 17       0      0      0      1      2      0      0      0      0      0 #> 18       0      0      0      9     10      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      2      0      0      0      0      0      0      0 #> 25       0      0      8      0      0      0      0      2      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0     32      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0    223      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      0      0 #> 38       0    376      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0    451     89      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      1      0      0      8      0      0      0      1      0 #> 45       0      0      0      1      2      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0    212     16      0 #> 51       0      0      0      2     34      0      0      0      0      0 #> 52       0      0      3      0      0     45      0      0      0      0 #> 53       0      0    273      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      1      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      6      0      0      0      0 #> 61       0      0      6      1     53      1      0      0      0      0 #> 62       0      0      0      0      0    140      0      0      0      0 #> 63       0      0      0      0      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV581 ASV582 ASV584 ASV585 ASV586 ASV587 ASV588 ASV589 ASV590 ASV591 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        1      0      1      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      1      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      1      0      0      0      0      0 #> 9        0      2      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11      54      0      0      0      0      0      0      0      3      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13      97      0      0      0      6      0      0      0      0      0 #> 14       4      0      0      0      0      0      0      0      0      0 #> 15       8      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0     28      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      1      0     14      0      4      0      0      0      0 #> 19       0      0      0      4      0      0      0      0      0      0 #> 20       9      0      0      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      3      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24      13      0      0      0      0      0      0      0      0      0 #> 25       3      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       8      0      0      0      0     98      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      1      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       1      0      4      0      0      0      0      0      0      0 #> 38       0      0      0      0      0     14      0      8      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0     13      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42      43      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      1      0      9      0      0      0      0 #> 47      33      0      2      0      0      0      0      0      0      0 #> 48       0      0      0      0      0     28      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50      15      0      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      2      0      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       3      0      0      0      0     69      0      0      0      0 #> 55       0      0      0      0      0      0      0    443      0      0 #> 56       0      0      0      0      0      0    453      0      0      0 #> 57       0      0      0     14      0      8      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0    461      0      0      0      0      0      0      0      1 #> 62       0      0      0      0      2      0      0      0      0      3 #> 63      55      0      0      0      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0    445 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV592 ASV593 ASV594 ASV595 ASV596 ASV597 ASV598 ASV599 ASV600 ASV602 #> 1        0      2      0      0      0      0      0      0      0      0 #> 2        4      0      0      0      0      0      0      8      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0    292      0      0      0      0      7      0      2 #> 5        0      0      0      0      0      0      0      0     20      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      1      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      1      0 #> 12       0      0      0      0      0      1      0      0      0      0 #> 13      74      0      0     15      0      4      3      0      0      0 #> 14       0      0      0      0      0      0      0     53      0     36 #> 15       0      0      0      0      0     64      0      0      0      0 #> 16       0      0      1      0      0      0      0    165      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      7      0      0      0      1 #> 19       0      1      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0    327 #> 21       1      0      0     16      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      6      3      0      0      0 #> 25       0      0      0      0      0      0    101      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      1      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29     109      0      0     67      0      0    201      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      2      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0     11      0      0      0      0      0 #> 37       0      0      0      0      0     10      0      8      0      0 #> 38       0      0      0      0      0      0      0      0      1      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      5      0     17      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0     12      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       9      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0     11      0      0 #> 48     173      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0     11 #> 50       0      0      0      1      0      0      6     52      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      0      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0    184      0      0      0      1      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0    176    170      0      0     20      0 #> 57      17      0      0     54      0      0      0      0      0      0 #> 58       0      0      1      0      0      0      0      0      0      0 #> 59       0      0      0      0      0     12      0      0      9      0 #> 60       0      0     65      0      0      9      0      0      0      0 #> 61       0      0      0      5      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      3 #> 63       0      0      0      0      0      0      0     17      0      0 #> 64       0      0      0      0      0      0      0      0      0      1 #> 65       0      0      0      0      0      0      0      0      1      0 #> 66       0      3      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV603 ASV604 ASV605 ASV607 ASV608 ASV610 ASV612 ASV614 ASV615 ASV616 #> 1        0      0      0      0      0      2      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      1      0      0      0      0 #> 4        0      0      0      0      0      2      0      0      0      0 #> 5        0      0      0      0     40      0      0      0      0      0 #> 6        0      2      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0     20      0      0      0      0      0 #> 9        0      0      0      0      0      0     20      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      1     14      0      0      0 #> 12       0      0      0      0      0      0     92      0      0      0 #> 13       0      0      0      0      0      1     22      0      0      0 #> 14       0      0      0      0      0      0     39      0      0      0 #> 15       0      0      0      0      0      0      6      0      0      0 #> 16       0      0      0      0      0      2      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      2 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      3      0      0      0      0 #> 21       0      0      0      0      0      5      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0    245     14      0     53      0 #> 25       0      0      0      0      0      2      0      0      0      0 #> 26       0      0     72      0     26      1      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0    343      0     93      0      0      0      0      0 #> 29       0      0      0      0      0      5      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      1      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      2      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0    250      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0    135      0      0      0      0      0      1 #> 47       0      0      0      0      0      1      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      3      0      0     23      0 #> 51       0      0      0      0      0      3      0      0      0      0 #> 52       0      0      0      0      0      1      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      1      0      0      0     49      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      9      0     39      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      6      0      7      0 #> 61       0      0      0      0      3      0      3      0      0    396 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0     22      1      0    322      0 #> 64       0      0      0      0      0      1     61      0      0      0 #> 65       0     16      0      0      0      0      0      0      0      0 #> 66       0      0      1      0      1      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV617 ASV618 ASV619 ASV620 ASV621 ASV622 ASV624 ASV625 ASV626 ASV627 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0     11      0      0     46      0      0      0      0      0 #> 3        0    131      0      0    111      0      0      0      0      0 #> 4        0     56      0      0      0      0     91      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      0      0 #> 12       0      5      0      0    212      0      0      0      0      0 #> 13       0    166      0      0      0      0      0      0      0      0 #> 14       0      0      0      0     37      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      3      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0    419      0      0      0      0      0      0      0 #> 21       0      1      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      1      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      1      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0     16      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0    223      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       6      6      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      2      0      0      0      0      0      0      0      0 #> 51     109      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      0      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      3      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      2      0      1      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      1      0      0      0      0    309      0      0      0 #> 61       0      0      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0      0      7      0      0 #> 64       0      0      0      0      0      0      0      0     10      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV628 ASV629 ASV630 ASV631 ASV632 ASV633 ASV634 ASV635 ASV636 ASV637 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2      291      0      0      0      0      0      0      0      0      0 #> 3        0      0      0     63      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      3      0      0    166 #> 5        0      0      0      0      0      0      8      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0     28      0      0      0      0      0      0 #> 8        0      0      0     21      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      1      0      0 #> 12       0      0      0      0      0      0      0      9      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      1      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      3      0      0 #> 18       0      0      0      0      0      0      0      1      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       2      0      0      2      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0    100 #> 25       0      0      0      0      0      0      0      0      0    130 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0     55      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      4      0      0      0      0      0 #> 35       0      0      0      0    299      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0    358      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      5      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46      17      0      0      9      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      4 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0      0      0      1 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0    408      0      0      0      0     28      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59      14      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0     21      0      0      0 #> 61       0      0      0      0      0      0      1     26      0      0 #> 62       0      0      0      0      0      2      9      0      0      0 #> 63       0      0      0      0      0      1      0      0      0      0 #> 64       0      0      0      0      0      0      0      0    404      0 #> 65       0      0      0      0      0      7      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      2      0      0      0      0      0      0 #> 68       0      0      0      0      0     29      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV639 ASV640 ASV641 ASV643 ASV644 ASV645 ASV647 ASV649 ASV650 ASV651 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0     10      0      2      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      3      0      0      0      0      0      0      0 #> 7      275      0      0      0      0      0      0      0      0      0 #> 8        0      0      1      0      0      0      4      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      0      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      1      0      0      0      0 #> 14       0      0      0      0      1     22      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      4      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      3      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      3      0 #> 21       0      0      0      0      0     15      3      0      0      0 #> 22       0      0      6      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0     33      0     14      0      0 #> 25       0      0      0      0      0      0      0      0     20      0 #> 26       5      0      0      0      0      0      0      0      0      0 #> 27      11      0      0      0      0      0      0      0      0      0 #> 28       5      0      0      0      0      0      0      0      0      0 #> 29       0      2      0      0      1     42      1      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0     10      0      0      0      2      0      0      0 #> 34       0      0     36      0      0      0      9      0      0      0 #> 35       0      0     68      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0     17      0      0      0      0      0      0      0 #> 40       0      0     29      0      0      0      3      0      0      0 #> 41       0      0     22      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      9      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0    215      0      0     97      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0    383      0      0      0      0      0      0 #> 47       0      0      0      0      0      3      0      0      0      0 #> 48       0      1      0      0      0    139      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      6      0      0      0     50      0      0      0      0 #> 51       0      0      0      0      0      0      1      0      0      0 #> 52       0      0      0      0      0      0      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      5      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0     53      0      0      0 #> 57       0      0      0      0      1      0      0      0      0      0 #> 58       0      0      8      0      0      0      0      0      0      0 #> 59       0      0      1      0      0      0      5      0      0      0 #> 60       0      0      0      0      0      4      0      0      0      0 #> 61       0      0      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      2      0      0      0     12      8      0      0      0 #> 64       0      0      0      0      3      0      0      0      0      0 #> 65       0      0      0      0      0      0     15      0      0      0 #> 66      34      0      0      0      0      0      2      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV652 ASV653 ASV654 ASV656 ASV657 ASV658 ASV659 ASV660 ASV661 ASV662 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      6      0      0      0      0      0 #> 3        0      0      0      0    353      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      6 #> 6        0      0      0      0      0      0      0      0      0      1 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      4 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      0      2 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0      0      0      1 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      3      0      0      0      0      0      0      0      0 #> 24       0      0      1      0      0      0      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26     381      0      0      0      0      0      0      0      0      5 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28      10      0      0      0      0      0      0      0      0      6 #> 29       0      0    298      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      2      0      1 #> 34       0      0      0      0      0      0      0      2      0     23 #> 35       0      0      0      0      0      0      0      0      0      9 #> 36       0      0      0      0      0      0      0      0      0      5 #> 37       0      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0    383      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      6 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      1      0 #> 43       0      0      0      0      0      0      0      0      0      1 #> 44       0      0      0      0      0      0     32      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      8 #> 52       0      0      0      0      0      0      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      2      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      1 #> 57       0      0      1      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      3 #> 59       0      0      0      0      0      0      0      0      0      1 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      0      0      0      0      0      0      0      4      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      3      0      0      0      0      0      0      1      0 #> 64       0      0      0      0      0      0     21      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      2 #> 66       0      0      0      0      0      0      0      0      0      9 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV664 ASV665 ASV666 ASV667 ASV668 ASV669 ASV670 ASV671 ASV672 ASV673 #> 1        0      0     32      0      0      0      0      0    319      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      3      0      1      0      0      0      0      0 #> 4        0      0      0      0      0      1      0      0     23      0 #> 5      365      0      4      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      7      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0     15 #> 11       0      0      0      0      0      0     36      0      0      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0     91      0      0      0 #> 14       0      0      0      0      1      0      2      0      0      0 #> 15       0      0      0      0      0      0      5      0      0      0 #> 16       0      0      0      0      2      8      0      0      0      0 #> 17       0      0      0      0      0    141      0      0      0      0 #> 18       0      0      0      0      1    141      0      0      0      0 #> 19       0      0      0      0      5     19      0      0      0      0 #> 20       0      0      1      0      0      0      3      0      0      0 #> 21       0      0     14     17      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      1      0      0 #> 24       0      0      0      0      0      0      1      0      0      0 #> 25       0      0     97      0      0      0      6      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      6 #> 28       0      0      3      0      0      0      0      0      0      0 #> 29       0      0      1      3      0      3      2    171      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      1      0      0      0      4      3      0      0      0 #> 38       0      0      0      0    149      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      1      0      0     25      0      0      5 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0     67      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0     22      0      1      2     28      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      0      1      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0    107      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      2      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0     10 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      0      0      0      0      0      1      0      0      0 #> 62       0      0      0      0      0     11      0      0      0      8 #> 63       0      0      2      0      0      1     23      0      0      1 #> 64       0      0      4     11      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV674 ASV675 ASV676 ASV677 ASV678 ASV679 ASV680 ASV681 ASV682 ASV683 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      5      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      0      0 #> 12       0      0      0      9      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0    354      0      0      0      0      0 #> 17       0      0      0      0      0      1      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      1      0      0      0      0      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0     26      0      0      0 #> 27       0      0      0      0      0      0     86      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34      13      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0    361      0      0 #> 37       0      0      0      1      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       1      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      1      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0     14      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0    360      0      0      0      0 #> 52       0      0      0      0      0      0      0      0      0    345 #> 53       0      0      0      0      8      0      0      0      0      0 #> 54       0    338      0      1      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0     20      0      0      0 #> 57       0      0      0      1      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      4      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      0      0      0      0      0      1      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV684 ASV685 ASV686 ASV687 ASV688 ASV689 ASV691 ASV692 ASV693 ASV694 #> 1        0      0      0      0      0      0     48      0      0      0 #> 2        0      0      0      0      0      0      8      0      0      0 #> 3        0      0      0      0      0      0      4      0      0      0 #> 4        0      0      0      0      0      0      0      0      1      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0     36      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0    101 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0    346      0      0 #> 12       0      0      0      0      0      0      0      0      0     16 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14     353      0      0      0      0      0      0      0      0      0 #> 15       0      6      0      0      0      0      0      0      0      5 #> 16       0      0      0      0      0      0      0      0      5      0 #> 17       0      0      0      0      0      0      0      0      0     56 #> 18       0      0      0      0      0      0     17      0      0      5 #> 19       0      1      0      0      0      0      0      0      0      2 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0      0     71      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0     16      0      1      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0     15      0      0      0 #> 29       0      0      0      0      0      0      8      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      3      0 #> 38       0      0      0      0      0      0      2      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      4      0      0      0      0     11 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      3      0 #> 47       0      0      0      0      0      0      5      0     13      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0     21      0     81      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      0      0      0      0      1 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      1      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       2      0      0      0      0      0      0      0     26      8 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      1      0 #> 61       0      0      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0      1      0     43      0 #> 64       0      0      0      0      0      0     50      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0    346      0      0      0      0      0 #>     ASV695 ASV696 ASV697 ASV698 ASV699 ASV700 ASV701 ASV702 ASV703 ASV704 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      5      0      0 #> 3        0      0      0      0      0      0      0      4      0      0 #> 4        1      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      2 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      0      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      9      0      0      0      0      0     78 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      3      0      9      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0     11      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0    336      1 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      2      0      0 #> 38       0      0      0      0      0      0      0      0      0     60 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0    341      0      0      0      0     60 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0     22 #> 47       0      0      8      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0     65      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      1      0      0      0      0      0      0      0      1 #> 53       0    310      0      0      0    340      0      0      0      0 #> 54       0      0      1      0      0      0      0      0      0      2 #> 55       0      0    170      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0      0      0      3 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      2      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0    102      0      0 #> 63       0      0      0      0      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      0    111      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV705 ASV707 ASV710 ASV711 ASV712 ASV713 ASV714 ASV715 ASV716 ASV717 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0     16      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      3      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0     21      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      0      3 #> 12       0      0      0      0      0      0      4      0      0      1 #> 13       0      0      0      0      0      0      0      0      0     20 #> 14       0      0      0      0      0      0      0      0      0      4 #> 15       0      0      0      0      0      0      0      0      0      3 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      1      0      0      0 #> 18       0      0      0      0      0      0     19      0      0      0 #> 19       0      0      0      0      0      0      2      0      0      0 #> 20       0      0      0      0      4      0      0      3      0      3 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      3      0      0      0      0      0 #> 25      82      0      0      0      0      0      0      2      0      0 #> 26       0      0      0      0      0      0      0      6      0      0 #> 27       0      0      0    255      0      0      0    165      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0     49      0      0      0 #> 38       0      0      0      0      0      0     29      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      1      0      0      0      0      0      0      0    269 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0     16      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      1      0      0      1      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0      0      0      6 #> 51       0      0      0      0      0      0      6      0      0      0 #> 52       0      0      0      0      0      0      0      0      0      1 #> 53       0      0      0      0      0      0      0      1      0      0 #> 54       0    332      0      0    233      0      0      0      0      0 #> 55       0      0      0      0      0      0      4      0      0      0 #> 56       0      0      0      0      0      0      0      2      0      0 #> 57       0      0      0      0     16      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      0      0      0      4      0      0      0      0      5 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      1      0      0      0      0      0      0      0      1 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       1      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      3      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV718 ASV720 ASV721 ASV722 ASV723 ASV724 ASV726 ASV727 ASV728 ASV729 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      2      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      4      0      0      0      0 #> 9        0      0      0      0      0      0      0      4     25      0 #> 10       0      0      0      0      0     12      0      0      0      0 #> 11       0      0      0      0      0      0      0      1     31      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0     45      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      5      0      0 #> 16       0      0      0      0      1      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      1      0      0 #> 18       0      0      0      0      0      0      0      7      0      0 #> 19     151      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      6      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      7      0      0      1      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      4      0      0 #> 27       0     16      0      0      0      0      3     18      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0     17      0      0      0      0 #> 31       0      0      0      0      0     25      0      0      0      0 #> 32       0      0      0      0      0     12      0      0      0      0 #> 33       0      0      0      0      0      8      0      0      0      0 #> 34       0      0      0      0      0     12      0      0      0      0 #> 35       0      0      0      0      0     17      0      0      0      0 #> 36       0      8      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      2      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      9      0      0      0      0 #> 40       0      0      0      0      0     26      0      0      0      0 #> 41       0      0      0      0      0     28      0      0      0      0 #> 42       0      0      0      0      0      0      0      1      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0     83      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      1      0    102 #> 47       0      0      0      0     69      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      3      0      0      0 #> 50       0      0      0      0      4      0      0      1      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      0      0      3      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      2      2      0      0      1      0      5 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0     23      0      0      0      0      4 #> 58       0      0      0      0      0     28      3      0      0      0 #> 59       0      0      0      0      0     10      0      0      0     17 #> 60       0      0      0      0      0      0      7      0      0      0 #> 61       0      0      0      0      0      0      0      0      0     15 #> 62       0      0      0      0      0      0      0      0      0      4 #> 63       0      0      0      0    126      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0    265      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV730 ASV731 ASV732 ASV733 ASV734 ASV736 ASV737 ASV738 ASV739 ASV740 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      2      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      5 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      1      0      2      0      0      0 #> 12       0      0      0      0      2      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0     50      0      0     24      0      0 #> 17       0      0      0      0      3      0      0      0      0      0 #> 18       0      0      0      0      6      0      0      0      0      0 #> 19       0      1      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0     75      0      0      0 #> 21       0      0      0     18      6      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       3      0      0      0     10      0      0      5      0      0 #> 25       0      0      0      0     27      0      0      0      0      0 #> 26       0      0      0      0      0      0     31      0      0      0 #> 27       0      0      1      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      8      0      0      0     51      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0     55      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      6      0      0      1      0      0 #> 38       0      0      0      0      0      0      0     10      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44     206      5      0      0     21      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0     11      0      0      4      0      0 #> 47       0      0      0      0      0      0      0      0      0     28 #> 48       0      0      0      0      0      0      0     13      0     11 #> 49       0    117      0      0      0    291      0      0      2      0 #> 50      14      0      0      0     13      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      4      0      0      0      0      0 #> 53       0      0    294      0      0      0      0      0      0      0 #> 54       0      0      0      0      2      0      0     40      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       1      0      0      0     18      0      0      7      0      0 #> 58       0      0      0      0      0      7      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0     13      1      0      0      0      0 #> 61       0      1      0      0      7      0      0      1      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63      78      0      0      0      0      0      0      0      0      0 #> 64       0      0      0     18      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0     60      0      0      0      5      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV741 ASV742 ASV743 ASV744 ASV745 ASV746 ASV747 ASV748 ASV749 ASV751 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        1      0      0      0      0      8      2      0      0      0 #> 5        0     30      0      0      0      0      0      0      7      0 #> 6        0      0      0      0      0      0      0      2      0      0 #> 7        0      1      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0     50      0 #> 11       0      6      0      0      0      0      0      0      0      0 #> 12       0      0     25      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0     22      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       1      0      0     19      0      2      0      0      0      0 #> 17       0      0      0      0      0      9      0      0      0      0 #> 18       9      0      0      0      0    156      0      0      0      0 #> 19       0      0      0      0      0     49      0      0      0      0 #> 20     210      1      0      1      0      0      0      0      0      0 #> 21       0      1      0      0      0      0      0      0     22      0 #> 22       0      0      0      0      0      0      0      0      1      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      5      0      0      0      0      0      0      0 #> 25       0      1      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      1      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      4      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      1      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      1      0      6      0 #> 37       0      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0     20      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      2      0 #> 40       0      0      0      0      0      0      0      0      1      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      3      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0    243      0      0    300 #> 50       3      0      0      0      0      2      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      0      0      0      0      0 #> 53       0      1      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      3      0 #> 57       0      0      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      7      0      8      0 #> 59       0      0      0      0      0      3      0     63     12      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      0      0      0      0      0      0      0      3      0 #> 62       0      0      0      0      0      0      0      1      0      0 #> 63       0      0      0      0      0      0      0      0     14      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      9      0      0      0      0 #> 66       0      0      0      0      0      0      0      0     16      0 #> 67       0      0      0      0      0      0      0      1      0      0 #> 68       0      0      0      0      0      0     25      0      0      0 #> 69       0      0      0      0      0      0      0      0      4      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV752 ASV753 ASV754 ASV755 ASV756 ASV757 ASV758 ASV760 ASV761 ASV762 #> 1        0      0      0      0     49      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      4     10      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      4      0      0      0      0      6      0      0      0 #> 7        0      0      0      0      2      0      0      0      0      0 #> 8        0      0      0      0      0      0      9      0      0      0 #> 9        0      0      0      0      0      0      0      2      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      2      0      0      0      0      0      0      0 #> 12       0      0      0      0      1      0      0      0      0      0 #> 13       0      0      0      0      9      0      0      0      0      0 #> 14       0      0      0      0      4      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0    293 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      1      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      8      0      0      0      0      0      0      0 #> 21       0      0      0      0      1      0      0      0      0      0 #> 22       0      0      0      0      0      0     13      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0     45      0     24      0      0      0      0      1 #> 25       0      0      2      0      0      0      0      0      0      0 #> 26       0      0      0     17      0      0      1      0      0      0 #> 27       0      0      0      0      0      0      0     68      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      1      0      0     14      0      0      0 #> 34       0      0      0      0      0      0      5      0      0      0 #> 35       0      0      0      0      0      0     17      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      4      0      0     14      0      0      0 #> 40       0      0      0      0      0      0     35      0      0      0 #> 41       0      0      0      0      0      0     36      0      0      0 #> 42       0      0      0      1      2      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      1      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      1      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0     23      0    220      0      0      0      0 #> 50       0      0      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      1      0      0      0      0      0      0      0 #> 53       0      0      4      0      0      0      0      0      0      0 #> 54       0      0      4      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      4      0      0      2      0      0 #> 58       0      0      0      0      0     39     18      0      0      0 #> 59       0      0      0      0      0      0     12      0      0      0 #> 60       0      0      0      0      2      0      0      2      0      0 #> 61       0      0      0      1      0      0      0      0      0      0 #> 62       0      0      0      0      0     14      0      0      0      0 #> 63       0      0     10      0      7      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      2      0     71      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV763 ASV764 ASV765 ASV766 ASV767 ASV768 ASV769 ASV770 ASV771 ASV772 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0     71 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      1     13     11      0      0 #> 12       0      0      0      0      0     19      0      0      0      0 #> 13       0      0      0      0      0      0     85      0      0      0 #> 14       0      0      0      0      0      0      2      0      0      0 #> 15       0      0      0      0      0      0      0     97      0      0 #> 16       0      0      0      6      0      5      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0     82      0      3 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0     54      0     65      5      0      0      0 #> 21       0      0      0      1      0      1      2      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0     16      0      0      1 #> 25       0      0      0      0      0      0      2      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      8      0      0      6 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      0      3 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      2      0      0      0      0      6      0      0      5 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      5      0      0      0      0      0      0      2 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      7      0      0     19 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      1      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      4      0      0      3 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      1      0      5      0      4 #> 53       0      3      0      0      0      0      0      0      0      0 #> 54       0    285      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0      0      0     17 #> 58       0      0      0      0    288      0      0      0      0      3 #> 59       0      0      0      0      1      0      0      0     55      0 #> 60       0      0      0      0      0      0      0      2      0      0 #> 61       0      1      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0     30      0      0     20 #> 64       0      0      0      1      0      2      0      0      0     10 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      1      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV773 ASV774 ASV775 ASV776 ASV777 ASV778 ASV779 ASV780 ASV781 ASV782 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0     18      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0     31 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0    196      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      0      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      1      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      2      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0     85      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0      0 #> 25       0      4      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      8 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34      17      0      0     74      0      0      0      0      0      1 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      3      0      0      0      0      0      0      0      0 #> 37       0      7      0      0      0      0      0      0      3      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39      57      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      1      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      1      0     51      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      7      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      5      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      1      0      0      0      0      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      8      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56      94      7      0      0      0      0      0      0      0      0 #> 57       0      0      0      0    130      0     52      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      1      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0     62      0      0      0 #> 61       0      0      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV783 ASV784 ASV785 ASV786 ASV787 ASV788 ASV790 ASV792 ASV795 ASV796 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      1 #> 6        0      0      0      0      0      0      3      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      7      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       3      0      0      0      0      0      0      0      0      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      6      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      5      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20      13     10      0      0      0      0      0      0      0      0 #> 21       0     12      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      3      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      2      0      0      0      0      0      0      0      0 #> 25       0     26      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0    251      0      0      0      0 #> 27       0      0      1      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      1      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      9      0      0      0 #> 34       0      0      0      0      0      5     23      0      0      0 #> 35       0      0      0      0      0      0     52      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      1      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0     12      0      9      0      0      0 #> 40       0      0      0      0     40      0     19      0      0      0 #> 41       0      0      0      0      0      0     15      0      0      0 #> 42       3      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       5      5      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      7      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       4      1      0      0      0      0      0      0      0      0 #> 53       0      0    265      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0    269      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       1      0      0      0      0      0      0      0      0      0 #> 57       0      4      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      6      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      1      0      0      0      0      0      0      0      0 #> 62       0      0      0      0     22      0      0      0      0      0 #> 63       0      0      0      0      0      0      0      0      0      0 #> 64       0     13      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      3 #> 69       0      0      0      0      0      0      0      0      0    249 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV797 ASV798 ASV799 ASV801 ASV802 ASV803 ASV804 ASV805 ASV806 ASV807 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      1      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0     15      0      0 #> 11       0      0     20      0      0      0      0      0      0      0 #> 12       0      0      1      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      2      0      0      0      0      0      0 #> 15       0      0      1      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      1      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      5      0      0     54      0      0      0      0 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      1      0      0      0      0      0      0     11 #> 25       0      0      2      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      5      0      0      0      0 #> 27       0      0      1      0      0      0      0      0      0      0 #> 28       0      0      0      0      0    198      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0     21 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34     182      0      0      0      0      0      0      2      0      0 #> 35       3      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0    255      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       1      0      0      0      0      0      0      0      0      0 #> 40       2      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0     21      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      5      0      0      0      0     16      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0      2      0      5 #> 51       0      0      0      0      0      0      0    123      0      0 #> 52       0      0      1      0      6      0      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      3      0      0      0      0      0      0     11 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0    125      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0     82 #> 61       0      0      0      0      4      0      0      0      0      8 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      1      0      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV808 ASV810 ASV811 ASV814 ASV815 ASV816 ASV817 ASV819 ASV820 ASV821 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0     95 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      8      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      1      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0     13      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      0      0 #> 12       0      0      0      0      0      6      2      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0     78      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      1      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      1      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      1      0     37      0      3 #> 22       0      0      1      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0     17      0      0      0      0      0      4      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      5      0      0      0      0      0      0      0 #> 34       0      0     16      0      0      0      0      0      0      0 #> 35       0      0     59      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0    133      0      0      0      1      0      0      0      0 #> 38       0      0      0      0      0      3      0      0      0      0 #> 39       0      0      7      0      0      0      0      0      0      0 #> 40       0      0      9      0      0      0      0      0      0      0 #> 41       0      0      4      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      7    169      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      1      0      0      0     11 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      7      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      0      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      1      0      0 #> 55       0      0      0      0      0      1      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0     11      0      0      0      0      0     13      0      0 #> 58       0      0      1      0      0      0      0      0      0      0 #> 59       0      0      1      0      0      0      0      0      0      3 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      0      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      4      0      0      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0     15      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV822 ASV823 ASV824 ASV826 ASV827 ASV828 ASV829 ASV830 ASV831 ASV832 #> 1        0      0      0      0      0      0      2      0      3      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      8      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7       10      0      0      0      0      0      0      0      1    130 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10      17      0      0      0      0      0      0      0      0      0 #> 11       0      0      3      0      0      0      0      0      0      0 #> 12       0      0      1      0    250      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      2      0      0      0      0      0      0      0      0 #> 20       0      0     51      0      0      2      0      1      0      0 #> 21       0      0      0      0      0     10      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0     11      0      0      0      0      0      0      0 #> 25      21      0      0      0      0      2      0      0    116     20 #> 26       0      0      0      0      0      0      0      0      0      2 #> 27       5      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      1      0 #> 29       0      0      4      0      0      1      0      0      2      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       4      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       1      0     24      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      3      0      0      0      0      0      8      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      0    243      0      0      0 #> 52       0      0      6      0      0     23      0      0      0      8 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      7      0      0     29      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0     17      3      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      1      0      0      5      0      0      0      0 #> 64       0      0      0      0      0      1      0      0      1     37 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV833 ASV834 ASV835 ASV836 ASV837 ASV838 ASV839 ASV840 ASV841 ASV842 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11     248      0      0      0      0      0      0      0      0     18 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      9 #> 14       0      0      0      0      0      0      0      0      0      4 #> 15       0      1      0      0      0      0      3      0      0      1 #> 16       0      0      0      0      0      2      0      1      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      1      0      0      0      3      0      0      0      2 #> 21       0      0      0      0      0      1      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      2      0    240      0      2 #> 25       0      0      0      0      0      1      0      0      0      2 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      1 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      4 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      0      3 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0     78 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0    248      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      1      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      0     52 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0      1      0      3 #> 51       0      0      0      0      0      1      0      0      0      0 #> 52       0      0      0      0      0      1      0      0      0      1 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0    217      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      1      0      0    187      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      3      0      0      0      0      1      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0     20      0      2      0      4 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV843 ASV844 ASV845 ASV847 ASV848 ASV849 ASV850 ASV851 ASV852 ASV853 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0     12 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0     46      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      0      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14      30      0      0      0    160      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      5      0      0      0      0      0      0      0 #> 34       0      0     16      0      0      0      0      0      0      0 #> 35       0      0     59      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      0      6 #> 38       0      0      0      0      0      0      0      0      0      3 #> 39       0      0      7      0      0      0      0      0      0      0 #> 40       0      0     15      0      0      0      0      0      0      0 #> 41       0      0      8      0      0      0      0      0      0      0 #> 42     126      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0     79 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      5 #> 52       0      0      0      0      0      0      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0     49      0      0      0      0      0      0    217      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0     81      0      0      0      0      0 #> 58       0      0      2      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       1      0      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0      0      0      0      0 #> 64      68      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      7      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV854 ASV855 ASV856 ASV857 ASV858 ASV859 ASV860 ASV861 ASV862 ASV863 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0     10      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      2      0      0      0      0 #> 7        0      0      0      0      0      0      1      0      0      0 #> 8        0      0      0      0      0      2      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      1      0      0      0      0 #> 11       0      0      0      0      0      0      0      5      0      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14      13      0      0      1      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16      35      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0    234      0 #> 18       0      1      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0     23      0      0 #> 22       0      0      0      0      0      1      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0      0 #> 25       0      0      0      0      0      0    128      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0     17      0      0      0      0      7      0      0    104 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      4      0      0      0      0 #> 31       0      0      0      0      0      8      0      0      0      0 #> 32       0      0      0      0      0      1      0      0      0      0 #> 33       0      0      0      0      0     11      0      0      0      0 #> 34       0      0      0      0      0     26      0      0      0      0 #> 35       0      0      0      0      0     31      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      1      0      0      0      0 #> 40       0      0      0      0      0     22      0      0      0      0 #> 41       0      0      0      0      0     16      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0    203      0      0      0      0      0 #> 50       0      0      0      2      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      0     10      0      0      0 #> 53       0    212      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      2      0      0      0      0      0 #> 57       5      0      0      1      0      0      0      0      0      0 #> 58       0      0      0      0     14      2      0      0      0      0 #> 59       0      0      0      0      0     13      0      0      0      3 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      0      0      0      1      0      0      0      0      1 #> 62       0      0      0      0      0      0      0      0      0     15 #> 63       0      0      0    214      0      0      0      0      0      0 #> 64       0      0      0      0      0      0     48      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0    203      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      4      0      0      0      0    111 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV865 ASV866 ASV867 ASV868 ASV869 ASV870 ASV873 ASV874 ASV875 ASV876 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0     63      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      2      0      1      0 #> 9        0      0      0      0      0    152      0      0      0      1 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      0      0 #> 12       0      0      0      0      0      0      1      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      9      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      1 #> 28       0      0      0      0      0      0     78      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      1      0 #> 40       0      0      0      0      0      0      3      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      3 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50      19      0      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      0      0    104      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      4 #> 61       1      0      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      2      0      0      0 #> 63       0      0      0      0      0      0      0      0      3      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      4 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV877 ASV878 ASV879 ASV880 ASV883 ASV884 ASV887 ASV888 ASV890 ASV891 #> 1        0      0      0      0      0      0      2      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      1      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      3      0      3      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      3      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       7      0      0      0      0      0      2      0      0      0 #> 12       0      0      0      2      0      0      1      0      0      0 #> 13      30      0      0      0      0      0      4      0      0      0 #> 14      43      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      7      0      0      3      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      2 #> 20       0      0      0      0      0      0     16      0      0      0 #> 21       0      0      0      0      0      0      2      0      0      0 #> 22       0      0      0      0      0      3      0      6      0      0 #> 23       0      0      0      0      0      0      0      0      0      1 #> 24       8      0      0      0      0      0     31      0      0      0 #> 25       5      0      0     52      0      0      6      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       5      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29      14      0      0      0      0      0      2      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      6      0      5      0      0 #> 34       0      0      0      0      0     26      0     19      0      0 #> 35       0      0      0      0      0     39      0     41      0      0 #> 36       0      0      0      0    216      0      0      0      0      0 #> 37       0      0      0      1      0      0      1      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      7      0      9      0      0 #> 40       0      0      0      0      0     18      0     12      0      0 #> 41       0      0      0      0      0     15      0     10      0      0 #> 42      15      0      0      0      0      0      1      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0     84      0      0      0      0      0      0      0 #> 47      35      0      0      8      0      0      0      0      0      0 #> 48       0      0     70     10      0      0      0      0      0      0 #> 49       0      0      0      0      7      0      0      0      0      0 #> 50      32      0      3      1      0      0     12      0      0      0 #> 51       0      0      0      0      0      0     14      0      0      0 #> 52       0      0      0      0      0      0      0      0      0      0 #> 53       0      0      0      0      0      0      1      0      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0    225      0      0      0      0      0      0      0      0 #> 57       0      0      5      0      0      0     14      0      0      0 #> 58       0      0      0      0      0      4      0      5      0      0 #> 59       0      3      0      0      0      2      0      1      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       3      0      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      5      0      0      0 #> 63       7      0      0     25      0      0     32      0      0      0 #> 64       0      0      0      0      0      0      2      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      7 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV892 ASV895 ASV897 ASV898 ASV899 ASV900 ASV901 ASV902 ASV903 ASV904 #> 1        0      0     39      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      2      0      0      0      0      0      0      0 #> 4        0      0      6      0      0      0      0      0      5      1 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        1      0      0      0      0      0      0      0      0      0 #> 7        0      0      1      0      0      0      0      0      0      1 #> 8        0      0      0    201      0      0      0      0      0      0 #> 9        0      0      0      0    210      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      4      0      0      0      0      0      0      0 #> 12       0      0      0      0      0    217      0      0      0      0 #> 13       0      0      5      0      0      0      0      0      0      0 #> 14       0      0      1      0      0      0      0      0      0     33 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      5      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      2      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       0      0      2      0      0      0      0      0      0      5 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0     39      0      0      0      0      0      0      5 #> 25       0      0      0      0      0      0      0      0    200      0 #> 26      17    206      0      0      0      0     42      0      0      0 #> 27       0      0      0      0      0      0      4      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34      58      0      0      0      0      0     11      0      0      0 #> 35       0      1      0      0      0      0      0      0      0      0 #> 36       0      0      0      4      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0     88      0      0 #> 38       0      0      0      0      0      0      0      0      0      1 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      6      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0     11 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      3 #> 50       0      0      0      0      0      0      0      0      8      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      1      0      0      0      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      4      0      0      0      0      0      0      3 #> 58       0      0      0      0      0      0      0      0      0      3 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      1      0      0      0      0      0      0      2 #> 61       0      0      0      0      0      0      0      0      0      1 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      7      0      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      5      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV905 ASV906 ASV907 ASV908 ASV909 ASV910 ASV911 ASV913 ASV914 ASV915 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      2      0      0      0      0      0      0      0      0 #> 4        0      5      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      2      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      1      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      0      0 #> 12       0      0      0      0      0      0      0      0      0    163 #> 13       0     24      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       1      2      0      0      0    210      0      0      0      4 #> 21       0      0     25      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0     22      0      0      0      0      0      0      0      0 #> 25       0      0      0      0      0      0      9      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      9      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      3      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0     40      0 #> 35       0      0      0      0      1      0      0      0     44      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0     51      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      5      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      1      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      4      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      0      4      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0     12      0      0      0      0      0 #> 57       0      4      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      1      0      0      0 #> 60       0      1      0      0      0      0      0      0      0      0 #> 61       0      0      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      1      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0    188      0      0      0      0      0      4      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV916 ASV917 ASV918 ASV919 ASV920 ASV921 ASV922 ASV923 ASV924 ASV925 #> 1        0      0      0     31      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0    208 #> 3        0      0      0      0      0      0      1      0      0      0 #> 4        0      0      0      5      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      2      0      0      0      0      0      0 #> 12       0      0      0      2      0      0      0      1      0      0 #> 13       0      0      0      8      0      0      0      4      0      0 #> 14       0      0      0      2     65      0      0      1      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      2      0      0      0      0      0      0 #> 21       0      0      0      3      0      4      0     13      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       1      0      0     26      0      0      0     20      0      0 #> 25       0      0      0      0      0      2      1      0      0      0 #> 26       0      0      0      0      0      4      0      0      0      0 #> 27       0      0      0      0      0    106      0      0      0      0 #> 28      15      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34      25      0      0      0      0      0      0      0      0      0 #> 35       6      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       1      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      2     95      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0     10      0      0 #> 48       0      0      0      0      0      0      2     57      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0     10      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      3      0      0      0      0      0 #> 53       0      0      0      0      0      4      0      0      0      0 #> 54       0      0      0      0      6      0      2      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      6      0      0      0      0 #> 57       0      1      0      5      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      1      0      0      0      0      0      0 #> 61       0     11      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      7      0      0      1      7      0      0 #> 64       0      0      0      0     32      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV926 ASV927 ASV928 ASV929 ASV930 ASV931 ASV932 ASV934 ASV935 ASV936 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0    206      0      0      0      0      2      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      6      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       3      4      0      0      0      0      0      0      0     20 #> 12       0      0      0      0      0      0      0      0      5      0 #> 13     104      0      0      0      0      0      0      0      0     29 #> 14      58      0      0      0      0      0      0      0      0      7 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      8      0      0      0      0      0      0      0      1 #> 21       0      0      0      0     11      0     14      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      4      0      0      0 #> 25       1      0      0      0      0      0      0      0      0      4 #> 26       0      0      0      0     12      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0     68      0      0      0      0      0 #> 29       3      0      0      0      0      0      0      0      0      5 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      6      0      2      2 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      5      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       2      1      0      0      0      0      0      0      0     84 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      1      0     10      0 #> 47      18      7      0      0      0      0     21      0      0     39 #> 48       0      0      0      0      0      0      0      2      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0     11      0      0      6 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      4      0      0      0      0      0      0      2      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       1      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0    199      0      0    205      0      0      0      0 #> 57       0      0      0      0      0      0    134      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       1      0      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      1      0      0      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0     38      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV937 ASV938 ASV939 ASV940 ASV941 ASV942 ASV943 ASV944 ASV945 ASV946 #> 1        0      0      0      0      0      0      0      0      0    197 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0    128      0      0      0      0 #> 4        0      0      0      0      0      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      1      0      0      0      0      0      0 #> 10       0      0      0      0      1      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      0      0 #> 12       0      0    196      0      0      2      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      1      0      0      0      0      0      0      0 #> 24      19      0      0      0      0      0      1      0      0      0 #> 25       0      0      2      0      0      0      0      0      0      0 #> 26       0      0      0      0    113      0      0      0      0      0 #> 27       0      5      0    197      8      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       2      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37      58      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0     15      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       2      0      0      0      0      0    107      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      1      0      0      0      0      0      0      0      0 #> 53       0    193      0      1      0      0      0      0      0      0 #> 54       2      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       0      1      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63      28      0      0      0      0      0     64      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV947 ASV948 ASV949 ASV950 ASV951 ASV952 ASV953 ASV955 ASV956 ASV957 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      7      0      0      0 #> 3        0      0      0      0      0      0     53      0      0      0 #> 4        0      0      0      0      0      0     26      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      3      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       1      0      0      0      0      0      0      0      0      0 #> 12      32      0     13      0      0      0      8      0      0      0 #> 13       0      0      0      1      0      0     77      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       4      0      2      0      0      0      0      0      0      0 #> 18      59      0      0      0      0      0      0      0      0      0 #> 19       0      0    179      0      0      0      0      0      0      0 #> 20       0      0      0    174      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       1      0      2      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      1      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42      39      0      0      0      0      0      0      0    194      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0     10      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      1      0      1      0      0      0      0      0      0 #> 51      60      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      0      0      0      0    194 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0    191      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      0      0      0      0 #> 61       1      0      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV958 ASV959 ASV960 ASV961 ASV962 ASV963 ASV964 ASV966 ASV967 ASV968 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      6      0      0      0      0      0 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      0      0      0      0      0      0      0      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14      52      0      0      2      0      0      0      0      0      0 #> 15       0      0      0      0      0      1      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      0      0      0      0      0      0 #> 18       0      0      0      0      0      0      0      0      0      0 #> 19       0      0      0      0      0      0    133      0      0      0 #> 20       0      1      0      0      0      9      0      0      0      0 #> 21       0      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      0      0      0      0      2      0      4      0      0 #> 27       0      0      0      0      0     93      0      0     79      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       6      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      1      0      0 #> 34       0      0      0      0      0      0      0     11      0      0 #> 35       0      0      0      0      0      0      0     36      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      4      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      2      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       1      0      0      0      0      0      0      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       3      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      0      0      0 #> 50       0      0      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0     34      0      0      0      0      0 #> 53       0      0      0      0      0      5      0      0      0      0 #> 54       8    191      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      6      0      0      0      0 #> 57       0      0      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      4      0      0      0      0      0 #> 61       5      0      0      0      1      0      0      0      0      0 #> 62       0      0      0      0     94      0      0      0      9      0 #> 63      20      0      0      0      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0     45      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0     98      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV969 ASV970 ASV971 ASV972 ASV973 ASV974 ASV975 ASV976 ASV977 ASV978 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2       92      0      0      0      0      0      0      0      0      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        0      0      0      0      0      0     44      0      0      0 #> 5        0      9      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      0      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0      0      0      0 #> 11       0      0      1      0      0      0      0      0      0      0 #> 12       0      0      0      0      0      0      0      0      0      0 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0      0      0      0      1      0      0      0      0      0 #> 18       0      0      0      0      0      0      2      0      0      0 #> 19       0      0      0      0      5      0      0      0      0      0 #> 20       0      0      0      0      0      0      0      0      0      0 #> 21       4      0      0      0      0      0      0      0      0      0 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0      0 #> 25       0      0      0      0      0      0      0      0      0      0 #> 26       0      3      0      0      0      0      0      0      0      0 #> 27       0      0      0      0      0      0      0      0      0      0 #> 28       0      0    183      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      2      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      0      0      0      0      0      0      0      0      0 #> 38       0      0      0      0      0      0      0      0      0      0 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      2      0      0     28      0      0      0 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46      11      0      0      0      0      0      0      0      0      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49       0      0      0      0      0      0      0      9      0      0 #> 50       0      0      0      0      0      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      0 #> 52       0      0      0      0      0      0      0      0      0      0 #> 53       0      0      0      0      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      0 #> 56       0      0      0      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0      0      0      0 #> 58       0      0      0      0      0      0      0      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      1      0      0      0 #> 61       0      0      0      0      0      0      0      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       0      0      0      0      0      0      0      0      0      0 #> 69       0      0      0      0      0      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV979 ASV980 ASV981 ASV983 ASV984 ASV985 ASV986 ASV987 ASV988 ASV989 #> 1        0      0      0      0      0      0      0      0      0      0 #> 2        0      0      0      0      0      0      0      0      1      0 #> 3        0      0      0      0      0      0      0      0      0      0 #> 4        2      0      0      0      0      0      2      0      0      3 #> 5        0      0      0      0      0      0      0      0      0      0 #> 6        0      0      0      0      0      0      0      0      0      0 #> 7        0      0      0      0      0      0      0      0      0      0 #> 8        0      0      0      0      0      0      0      0      0      0 #> 9        0      0      0      1      0      0      0      0      0      0 #> 10       0      0      0      0      0      0      0    176      0      0 #> 11       0      0      0      0      5      0      0      0      0      0 #> 12       0      0      0      0      0      0      0      0      0      3 #> 13       0      0      0      0      0      0      0      0      0      0 #> 14       0      0      0      0      0      0      0      0      0      0 #> 15       0      0      0      0      0      0      0      0      0      0 #> 16       0      0      0      0      0      0      0      0      0      0 #> 17       0     83      0      0      0      0      0      0      0      3 #> 18       0     23      0      0      0      0      0      0      0      6 #> 19       0     70      0      0      0      0      0      0      0      1 #> 20       0      0      1      0      0      0      0      0      0      0 #> 21       0      0      0      0      0      0      0      0      0      1 #> 22       0      0      0      0      0      0      0      0      0      0 #> 23       0      0      0      0      0      0      0      0      0      0 #> 24       0      0      0      0      0      0      0      0      0      2 #> 25       0      0      0      1      0      0      0      0      0      0 #> 26       0      0      1      0      0      0      0      0      0      0 #> 27       0      0    112      2      7      0      0      0      0      0 #> 28       0      0      0      0      0      0      0      0      0      0 #> 29       0      0      0      0      0      0      0      0      0      0 #> 30       0      0      0      0      0      0      0      0      0      0 #> 31       0      0      0      0      0      0      0      0      0      0 #> 32       0      0      0      0      0      0      0      0      0      0 #> 33       0      0      0      0      0      0      0      0      0      0 #> 34       0      0      0      0      0      0      0      0      0      0 #> 35       0      0      0      0      0      0      0      0      0      0 #> 36       0      0      0      0      0      0      0      0      0      0 #> 37       0      3      0      1      0      0      0      0      0     24 #> 38       0      0      0      0      0      0      0      0      0     16 #> 39       0      0      0      0      0      0      0      0      0      0 #> 40       0      0      0      0      0      0      0      0      0      0 #> 41       0      0      0      0      0      0      0      0      0      0 #> 42       0      0      0      0      0      0      0      0      0      0 #> 43       0      0      0      0      0      0      0      0      0      0 #> 44       0      0      0      0      0      0      0      0      2      9 #> 45       0      0      0      0      0      0      0      0      0      0 #> 46       0      0      0      0      0      0      0      0    135      0 #> 47       0      0      0      0      0      0      0      0      0      0 #> 48       0      0      0      0      0      0      0      0      0      0 #> 49     164      0      0      0      0      0    160      0      0      0 #> 50       0      0      0      0      1      0      0      0      0      0 #> 51       0      0      0      0      0      0      0      0      0      2 #> 52       0      0      0      2      0      0      0      0      0      0 #> 53       0      0      3    163      0      0      0      0      0      0 #> 54       0      0      0      0      0      0      0      0      0      0 #> 55       0      0      0      0      0      0      0      0      0      2 #> 56       0      0      2      0      0      0      0      0      0      0 #> 57       0      0      0      0      0      0      0      0     18      0 #> 58       7      0      0      0      0      0      4      0      0      0 #> 59       0      0      0      0      0      0      0      0      0      0 #> 60       0      0      0      0      0      0      1      0      0      0 #> 61       0      0      0      0      0      0      2      0      0      0 #> 62       0      0      0      0      0      0      0      0      0      0 #> 63       0      0      0      0      0      0      0      0      0      0 #> 64       0      0      0      0      0      0      0      0      0      0 #> 65       0      0      0      0      0      0      0      0      0      0 #> 66       0      0      0      0      0      0      0      0      0      0 #> 67       0      0      0      0      0      0      0      0      0      0 #> 68       7      0      0      0      4      0      9      2      0      0 #> 69       0      0      0      0    136      0      0      0      0      0 #> 70       0      0      0      0      0      0      0      0      0      0 #>     ASV990 ASV992 ASV993 ASV994 ASV995 ASV996 ASV997 ASV998 ASV999 ASV1000 #> 1        0      0      0      0      0      0      0      0      0       0 #> 2        0      0      0      0      0      0      0      0      0       0 #> 3        0      0      0      0      0      0      0      0      0       0 #> 4        0      0      0      0      0      0      0      0      0       0 #> 5        0      0      0      0      0      0      0      0      0       0 #> 6        0      0      4      0      0      0      0      0      0       0 #> 7        0      0      0      0      0      0      0      0      0       0 #> 8        7      0      0      0      0      0      0      0      0       0 #> 9        0      0      0      0      0      4      0      0      0       0 #> 10       0      0      0      0      0      0      0      0      0       0 #> 11       0      0      0      0      0      0      0    173      0       0 #> 12       0      0      0      0      0      0      0      0      0       0 #> 13       0      0      0      0      0      0      0      0      0       0 #> 14       0      0      0      0      0      0      0      0      0       0 #> 15       0      0      0      0      0      0      0      0      0       0 #> 16       0      0      0      0      0      0      0      0      0       0 #> 17       0      0      0      0      0      0      0      0      0       0 #> 18       0      0      0      0      0      0      0      0      0       0 #> 19       0      0      0      0      0      0      0      0      0       0 #> 20       0      0      0      0      0      0      0      0     84       0 #> 21       0      0      0      0      0      0      0      0      0       0 #> 22       0      0      0      0      0      0      0      0      0       0 #> 23       0      0      0      0      0      0      0      0      0       0 #> 24       0      0      0      4      0      0      0      0      0       0 #> 25       0      0      0      0      0      0      0      0      0       0 #> 26       0      0      0      0      0      0      0      0      0       0 #> 27       0      0      0     27      0    146      0      0     13       0 #> 28       0      0      0      0      0      0     11      0      0       0 #> 29       0      0      0      0      0      0      0      0      0       0 #> 30       0      0      0      0      0      0      0      0      0       0 #> 31       0      0      0      0      0      0      0      0      0       0 #> 32       0      0      0      0      0      0      0      0      0       0 #> 33       0      0      0      0      0      0      0      0      0       0 #> 34       0      0      0      0      0      0      0      0      0       0 #> 35       0      0      0      0      0      0      0      0      0       0 #> 36       3      0      0      0      0      0      0      0      0       0 #> 37       0      0      0      1      0      0      0      0      0       0 #> 38       0      0      0      0      0      0      0      0      0       0 #> 39       1      0      0      0      0      0      0      0      0       0 #> 40       0      0      0      0      0      0      0      0      0       0 #> 41       0      0      0      0      0      0      0      0      0       0 #> 42       0      0      0      0      0      0      0      0      0       0 #> 43       0      0      0      0      0      0      0      0      0       0 #> 44       0      0      0      0      0      0      0      0      0       0 #> 45       0      0      0      0      0      0      0      0      0       0 #> 46       0      0      0      0      0      0      0      0      0       0 #> 47       0      0      0      0      0      0      0      0      0       0 #> 48       0      0      0      0      0      0      0      0     23       0 #> 49       0      0      0      0      0      0      0      0      0       0 #> 50       0      0      0      0      0      0      0      0      0       0 #> 51       0      0      0      0      0      0      0      1      0       0 #> 52       0      0      0      0      0      0      0      0      0       0 #> 53       0      0      0      0      0      0      0      0      0       0 #> 54       0      0      0      0      0      0      0      0      0       0 #> 55       0      0      0      0      0      0      0      0      0       0 #> 56       5      0      0      1      0      0      0      0      0       0 #> 57       0      0      0      0      0      0      0      0      0       0 #> 58       0      0      0      0      0      0      0      0      0       0 #> 59       0      0      0      0      0      0      0      0      0       0 #> 60       0      0      0      0      1      0      0      0      0       0 #> 61       0      0      0      0      0      0      0      0      0       0 #> 62       0      0      0      0      0      0      0      0      0       0 #> 63       0      0      0      0      0      0      0      0      0       0 #> 64       0      0      0      0      0      0      0      0      0       0 #> 65       3      0      0      0      0      0      0      0      0       0 #> 66       0      0      0      3      0      0      0      0      0       0 #> 67       0      0      0      0      0      0      0      0      0       0 #> 68       0      0      0      0      0      7      0      0      0       0 #> 69       0      0      0      0      0      0      0      0      0       0 #> 70       0      0      0      0      0      0      0      0      0       0 #>     ASV1001 ASV1002 ASV1003 ASV1004 ASV1005 ASV1006 ASV1007 ASV1008 ASV1010 #> 1         0       0       0       1       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0      68       0       8 #> 5         0       0       0       7      61       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        5       0       0       1       0       0       0       0       0 #> 12        2       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       3       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       4       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20       38       0       0       0       0       0      19       0       0 #> 21        1       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24       50       1       0       4       0       0       3       0       0 #> 25        2      25      93       0       0       0       0       6       0 #> 26        0       0       0       1       0       0       0       0       0 #> 27        0       0       0       1       0       0       0       0       0 #> 28        0       0       0     126      45       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       1       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       1       0       0       0       0       0 #> 37        0      36       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       4       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        1       1       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0      95       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       2       0     143 #> 50        1       0       0       0       0       0       1       1       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        1       1       0       0       0       0       0       0       0 #> 53        0       0       0       0       0     109       0       0       0 #> 54        0       0       0       0       0       3       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       7       0       1       0       0 #> 58        0       0       0       0       0       0       0       0      13 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       2       0      10       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0      10       0       4 #> 63        4       0       0       0       0       0       1       9       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       1       4       1       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       1 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1011 ASV1013 ASV1014 ASV1015 ASV1016 ASV1017 ASV1018 ASV1020 ASV1021 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       3       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       1      14       0       0       0       0 #> 5         5       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       1       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       2 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0      35       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       3       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        1       0       0       0       0       0       4       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       8       0       0 #> 25        0       0       0     165       0       0       2       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       2       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       4       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        4       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       1       0 #> 42        0       0       0       0      46       0       0       0       0 #> 43        0       0       0       0       0       0       0       1       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0     163       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       2       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       4       0       0 #> 51        0       0       0       0       0       0       2       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        4       0       0       0       0       0       0       0     165 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0      14       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       4       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       6       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       3       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0      80       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1022 ASV1023 ASV1024 ASV1025 ASV1026 ASV1027 ASV1028 ASV1029 ASV1030 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0      26       0 #> 3         0       0       0       0     161       0       0       0       0 #> 4         0       0       0       0       0       1       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0      88       0       3 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11       14       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       5       0       0 #> 13       23       0       0       0       0       0       0       0       0 #> 14        2       0       0       0       0       0       0       1       0 #> 15        2       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        2       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       3 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        4       0       0       0       0       0       0       0      57 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        1       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       4       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42       29       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47       48       0       0       0       0       0       0       0      20 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        9       0       0       0       0       0       0       0       2 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0      32       0       2       6 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       1       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0     160       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       2 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       2       5       8       0 #> 61        0       0       0       0       0       1       0       0       0 #> 62        0       0       0       0       0      40       2       0       0 #> 63        5       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1031 ASV1032 ASV1033 ASV1035 ASV1036 ASV1037 ASV1038 ASV1039 ASV1040 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0      25       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       2       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        1       0       0       0       1      23       0       0       0 #> 12        0       1     164       0       0       0       3       1       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       2       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0      14      65       0 #> 21        2       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        1      33       0       0       0       0       0       0       0 #> 27        0       3       0       0       0       0       0       0       0 #> 28        1      28       0       0       1       0       0       0     145 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       2       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34       45       0       0       0       0       0       0       0       3 #> 35        0       0       0       0       7       0       0       0       0 #> 36        0      38       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       1       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       4       1       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0      87       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0      29       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       5       0       0       0       0 #> 66        5       5       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       3       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1041 ASV1042 ASV1044 ASV1045 ASV1046 ASV1047 ASV1048 ASV1049 ASV1052 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0      12       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       3       0       0       0       2       0       0       6 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       2       0       0       3 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       8       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0      11       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       4       0       0       0       6       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0      37       0       0       2       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       3       0       0       0       3       0       0       1 #> 34        0      15       0       0       0      17       3       0      11 #> 35        0      29       0       0       0      29       0       0      21 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       6       0       0       0       5       0       0       6 #> 40        0       8       0       0       0      11       0       0      25 #> 41        0       9       0       0       0       7       0       0      14 #> 42        0       0       0       0       0       0       0       1       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49      147       0       0       0       0       0       0       0       0 #> 50        0       0       0       0      12       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0      98       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0      48       0       0       0       0 #> 58        0       0       0       0       0       1       0       0      11 #> 59        0       0       0       0       0       0       0       0       6 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       5       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1053 ASV1055 ASV1056 ASV1057 ASV1058 ASV1059 ASV1061 ASV1062 ASV1063 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       3       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0      97       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0      40      38       0       0       0 #> 14        0       0       0       0       0       2       0       0       0 #> 15        0       0       0       0       1       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       1      14       0       0       0 #> 21        0       0       0       0       0       0       0       0       4 #> 22        0       0       0       2       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0      13 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       3 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       3       0       0       0       0       0 #> 34        0       0       0      14       0       0       0       0       0 #> 35        0       0       0      41       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       1       6       0       0       1 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       2       0       0       0       0       0 #> 40        0       0       0      10       0       0       0       0       0 #> 41        0       0       0       3       0       0       0       0       0 #> 42        8       0       0       0       5       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       5       0       0       0 #> 47        0       0       0       0       0       1       0       0      10 #> 48        0       0       0       0       0       0       0       0       2 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       1       0       0       0      11 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0      38       0       0       1 #> 53        0       0       0       0       0       0       0       0       0 #> 54      146       0       0       0       0       1     158       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       1 #> 58        0       0       0       2       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       2       4       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        1       0       0       0       2       2       0     158       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1064 ASV1065 ASV1066 ASV1067 ASV1068 ASV1069 ASV1070 ASV1071 ASV1072 #> 1         0       1       0       0       0       0       0       0       0 #> 2         0       4       1       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       2       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       8       0       0       0       0     153       0       0 #> 8         0       0       0       0       0       0       0       3       0 #> 9         0       0       0      12       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       4       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       6       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0     122       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       5       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       2       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       7       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       2       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       1       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0     142       0       0       0       1       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       8       0       0       0       0 #> 58        0       0       0       0       0       0       0       0      29 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0      63       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0      21       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1073 ASV1074 ASV1076 ASV1078 ASV1079 ASV1081 ASV1082 ASV1084 ASV1085 #> 1         9       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       1       0       0       0       0       0       0       0 #> 4         0       2       0      10       0       0       4       0       3 #> 5        10       0       4       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       3       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       1       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       1       0       1       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       1       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       7       0       0       0       0       0     145       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       5       0       0       0       0       0       0       2 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0      35       0       0       0       0 #> 29        0       1       0       0       0       0       0       0       5 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       2       0       0       0       0       0       0 #> 37        4       0       0       0       0       0       0       0       0 #> 38        0       0       0       0      66       0       0       0       0 #> 39        0       0       2       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        1       0       3       0       0       0       0       0       0 #> 42        0       1       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       3 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0      14 #> 49        0       0       0       9       0       0       0       0       0 #> 50        0      14       0       0       0       0       0       0      65 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       2       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       5       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       5       0       0       0       0       0       0 #> 57        0       1       0       0       0       0       0       0       0 #> 58        0       0       0       8       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0      99       0       0      10       0       0 #> 61        0       0       0      20       0       0      75       0       0 #> 62        0       2       0       2       0       0      20       0       0 #> 63        0      64       0       0       0       0       0       0       0 #> 64        0      28       0       0       0       0       0       0       0 #> 65        0       0       1       0       0       0       1       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1086 ASV1087 ASV1089 ASV1090 ASV1091 ASV1092 ASV1093 ASV1095 ASV1096 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0      31       0 #> 3         0       0       0       0       0     146       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         3       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       3       0       0       0       0       3 #> 14        0       0       0      63       0       0       0       0       7 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0      80       0       0       0       0       0       0       0 #> 18        0      35       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        8       0       0       1       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26       41       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0      28       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34       37       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       2 #> 38        0       0       0       0       0       0       0       0       0 #> 39        2       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       2       0       0       0       5 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0      96       0 #> 47        0       0       0      20       0       0       0       0      20 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0      17       0       0       0       0       1 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       1 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       1       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       6       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0      10       0       0       0       0     145       0       0 #> 62        0       0       0       0       0       0       1       0       0 #> 63        0       0       0       0       0       0       0       0      97 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66       10       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1097 ASV1098 ASV1099 ASV1100 ASV1101 ASV1102 ASV1103 ASV1104 ASV1105 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       1       0       0       0       0       0 #> 3         0       0       0       1       0       0       0       0       0 #> 4         0       0       0       2       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0      30       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       2       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0     144       0       0       0 #> 21        0       0       0       0       0       0       0       0       1 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       4       0       0 #> 27        5       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0     142 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       2       0       0 #> 34        0       0       0       0       0       0       2       0       0 #> 35        0       0       0       0       0       0      24       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       1       0       0       0       0 #> 38      110       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       9       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0     145       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0     106       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0      15       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1107 ASV1108 ASV1109 ASV1110 ASV1111 ASV1112 ASV1114 ASV1115 ASV1116 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       1       0       0       0       0       0       0       0 #> 4         0       1       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       1       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       1       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       4       1       1       0       0       0       1 #> 12        1       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       1       0       0       0       0       0       0       0 #> 17        0       3       0       0       0       0       0       0       0 #> 18        0       2       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       1       0       0       0       0       0 #> 25        0       0       0       6       0       0       1       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       2       8       0       0       4       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0      10       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       3       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0      77       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       3       0       0       0 #> 40        0       0       0       0       0      10       0       0       0 #> 41        0       0       0       0       0       3       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       9       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       1       0       5       0       0       0       0       0 #> 53        0       0       0      82      36       0       0       0       0 #> 54        0       0       0       0       0       0     132       0       0 #> 55        0      33       0       0       0       0       0       0       0 #> 56        0       0       0       8       0       0       0       0       0 #> 57        0       5       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       1       0       0       7       0       0       0 #> 60        0       1       0       0       0       0       0       0       0 #> 61        0       0       0       0       2       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       1       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       8       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       2       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1117 ASV1118 ASV1120 ASV1121 ASV1122 ASV1124 ASV1125 ASV1126 ASV1127 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       6       0 #> 5         0       0       0       0       0       0       0       0       1 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       1 #> 12      140       0       0       0       0     139       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0     140       0       0       0       0       0       1       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       4       0       0 #> 28        0       0      64       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       5       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0     134       0       0 #> 54        0       0       0      62       0       0       0       0     136 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       1       0       0       0     102       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0      11       0 #> 61        0       0       0      18       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0      26       0       0       0       0 #> 66        0       0       9       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1128 ASV1129 ASV1131 ASV1132 ASV1133 ASV1134 ASV1135 ASV1137 ASV1138 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0      32       0       0       0       0       1      24 #> 5         0       0       0       0       0       0       0       0       0 #> 6         5       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         2       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0     136       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       1       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       2       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       1 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        3       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0     133       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0      16       0 #> 28        0       0       0       0       0       0       3       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        9       0       0       0       0       0       0       0       0 #> 34        9       0       0       0       0       0       0       0       0 #> 35        2       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       1       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        8       0       0       0       0       0       0       0       0 #> 40       13       0       0       0       0       0       0       0       0 #> 41       13       0       0       0       0       0       0       0       0 #> 42        0       9       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0      56 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0     101       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       1       0       0       0 #> 51        0       0       0       0       0       0     134       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       1       0       0       0       0       0       0       0 #> 58        6       0       0       0       0       0       0       0      12 #> 59        9       0       0       0       0       0       0       0       0 #> 60        0       0      14       0       0       0       0      91       0 #> 61        0       0       0       1       0       0       0       3       0 #> 62        0       0      65       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        3       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        2       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1139 ASV1141 ASV1143 ASV1144 ASV1146 ASV1147 ASV1148 ASV1150 ASV1151 #> 1         0       0       0       0       0       0       0       0      11 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       4       0       0       0       0       4 #> 6         0       0       0       0       0       0       0       0       0 #> 7        55       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0     132       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       1       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0     130       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       1       0       0       0 #> 37        4       0       0       0       0       0       0       0       6 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       1 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0     132       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        5       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        4       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0      12       0       0 #> 54        0       0     131       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       1 #> 57       15       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       2       0       0       0     124       0 #> 60       16       0       0       0       0       0       0       0       0 #> 61        4       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0     113       0       0       0       1       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       9       0 #>     ASV1152 ASV1154 ASV1155 ASV1156 ASV1157 ASV1158 ASV1159 ASV1160 ASV1161 #> 1         0       0       0       0       0       0       0       0       0 #> 2        83       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         1       0       7       0       0       4       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       1       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       1       0       5       0 #> 12        0       0       0       5       0       0       0       1       0 #> 13        0     115       0       0       0       0       0       0       1 #> 14        0       0       1      14       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0      18       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       6       0       0 #> 26        0       0       0      20       0       0       0       0       0 #> 27        0       0       0       0       0       0      95       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        1       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0      94       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       2       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       5       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       8 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       5       0       0       0       0       0 #> 53        0       0       0       1       0       0      22       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       1       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0      12       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       6       0       0 #> 62       43       0       0       0       0       0       0       0       0 #> 63        0       0       0       1     132       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       2 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0      11       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1162 ASV1163 ASV1164 ASV1165 ASV1166 ASV1167 ASV1168 ASV1169 ASV1171 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0     129       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       2       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0      60 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0      41       0       0       0       0       0       0       0 #> 12        0       0      10       0       0       3       0       0       1 #> 13        0      25     117       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       1       0       0 #> 20        0       0       0       7       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       6       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       1       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       4 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       1 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       8       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0      67       0       0       0 #> 54      120       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0      38       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0      58       0       0       0       0       0       0       0 #> 62        0       0       0       0       0      18       0       0       3 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0     123       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1172 ASV1173 ASV1174 ASV1175 ASV1176 ASV1177 ASV1178 ASV1179 ASV1180 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       9       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        1       0       0       3       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13       49       0       0       0       0       0       0       0       0 #> 14       49       0       0       0       1       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       1 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       1       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       3       0       1       0       0      41 #> 21        0       0       0       0       0       0       0      35       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       7       0       6       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0      31       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       1       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        1       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       1       0       0       0 #> 53        0       0       0       0       7       0       0       0       0 #> 54        1       0       0       0       0       0       0       0      65 #> 55        0       0       0       0       0       0     127       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       1 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       2 #> 62        0       0       0       0       0       0       0       0       0 #> 63        1       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       3       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1181 ASV1182 ASV1184 ASV1185 ASV1186 ASV1187 ASV1188 ASV1189 ASV1190 #> 1         0     114     120       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0      13       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0      37       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0      29       0       0       0       0 #> 12        0       0       0       1       0     100       0       0       0 #> 13        0       0       0       1       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       1       0       0       0 #> 18        0       0       0       0       0       7       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0      10 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       1       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0      10       0       0       0       0 #> 28      126       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       1       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       7       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       1 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       6       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0      10       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       1       0       0       0       2       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       3       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0      14     111 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0      21       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1192 ASV1193 ASV1194 ASV1195 ASV1197 ASV1198 ASV1199 ASV1200 ASV1203 #> 1         5       0       0       0       0       0       0       0      88 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       4 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       2       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       2       0       0       0 #> 11        3       0       0       0       0       0       0       0       1 #> 12        0       0       0       0       0       0     118       0       1 #> 13        3       0       0       0       0       0       0       0       3 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        5       0       0       0       0       0       0      92       0 #> 17        0       2       0       0       0       0       0       0       1 #> 18        0       0       0       0       0       0       0       0       3 #> 19        0     115       0       0       0       0       0       0       0 #> 20        4       0       2       0       0       0       3       0       0 #> 21       11       0       4       0       0       0       0       0       0 #> 22        0       0       0       0       0       3       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24       13       0       0       0       0       0       0       0       2 #> 25        3       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        6       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       3       0       0       0 #> 31        0       0       0       0       0       7       0       0       0 #> 32        0       0       0       0       0       2       0       0       0 #> 33        0       0       0       6       0       2       0       0       0 #> 34        0       0       0      27       0       9       0       0       0 #> 35        0       0       0      79       0       1       0       0       0 #> 36        0       0       0       0       0       2       0       0       0 #> 37        0       3       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0      29       0 #> 39        0       0       0       0       0       6       0       0       0 #> 40        0       0       0       0       0       8       0       0       0 #> 41        0       0       0       0       0       7       0       0       0 #> 42        2       0       0       0       0       0       0       0       1 #> 43        0       0       0       0       0       4       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       1       0       0       0 #> 57       25       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       3       0       0       1 #> 59        0       0       1       0       0       2       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0      57       0       0       0       0       0       0 #> 64        9       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1204 ASV1205 ASV1206 ASV1207 ASV1208 ASV1209 ASV1210 ASV1211 ASV1212 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7        31       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0      93       0 #> 13        0       0       0       0       0       0       0       0       1 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       9 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       1       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       2       0       0       0       0 #> 25       28      43       0       0       0       0       0       0       8 #> 26        0       0       3       0       0       0       0       0       0 #> 27        0       0      11       0       0       0       0       0       1 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       7       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37       55       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0      11       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0     118       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       1       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1213 ASV1214 ASV1215 ASV1216 ASV1217 ASV1218 ASV1219 ASV1221 ASV1223 #> 1         0       0       0       6       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       3       0       0       0       0 #> 5         0       0       0      48       0       0       0       0       1 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       1       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       2       0       0       5       0       1 #> 12        0       0       0       0       0       5       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0      17       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        5       0       0       1       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       4       0 #> 26        0       0       0       1       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       1       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        3       0       0       1       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0      13       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       2       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       4       0       0 #> 55        0       0       0       0       0       0       0     105       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0     117       0       0       0       0       0       4       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       2       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       1 #> 66        1       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1224 ASV1225 ASV1226 ASV1227 ASV1228 ASV1229 ASV1230 ASV1231 ASV1232 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       3       0       0 #> 3         0       0       0       0       0       0       0       2       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       1       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       1 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       2       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        5       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       8       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        1       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24       35       0       0       0       0       0       1       0       0 #> 25        1       0       0       0       0       0       0       7       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       6       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       4       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0      80       0       0       0       0       7       0       0 #> 48        0       0       0       0       0       0       2       4       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        5       0       0       0       0       0      35      37       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       1 #> 54        0       0       0       0       0       0       0       9       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0      94       0       0       0       0       0 #> 57       13       0       0       0      95       0      10       0       0 #> 58        0       0       0       0       0       0       0       0       1 #> 59        0       0       0       5       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       1 #> 61        0       0       0       0       0       0       1       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        3       0       0       0       0       0      13       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       2 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1233 ASV1234 ASV1235 ASV1236 ASV1238 ASV1239 ASV1241 ASV1242 ASV1243 #> 1         0       0       0      11       0       0       0       6       0 #> 2         0       0       0       0       1       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0      47       0       0       0       0       1 #> 6         0       0       0       0       0       1       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11       34       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0      26       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        4       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0      24       0       0       0 #> 27        0       0       0       0       0       0       0       0       4 #> 28        0       0       0       2       0       0       0       0       1 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0      23       0       0       0 #> 35        0       0       0       0       0       0       0       0       2 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0      53       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        4       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       1       0       0       1       0       0       0       0 #> 51        0       0       0       0       0       0       0     105       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       3       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        3       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       6       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0     100       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        2       0       0       1       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1245 ASV1246 ASV1247 ASV1251 ASV1252 ASV1253 ASV1254 ASV1255 ASV1257 #> 1         0       5       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       2 #> 4         0       0       1       0       0       0       0       0       0 #> 5         0       5       2       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0      10       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0      58       3       0       0       0 #> 12        0       0       0       0       0       0       2       0       0 #> 13        0       0       0       0      40       2       0       0       0 #> 14        0       0       0       0       0       0       3       0       0 #> 15        0       0       0       0       1       8       0       0       0 #> 16        0       0       0       0       0       0       0       0      67 #> 17        0       0       0       0       0       0       0       0      11 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       1 #> 20        0       0       0       0       0       9       0     109       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       1       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28       36       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       9       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        2       0       0       0       0       0       0       0       0 #> 37        0       1       0       0       0       3       8       0       0 #> 38        0       0       0       0       0       0       0       0       3 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0      21       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48       12       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       1       0       0       0      11 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0      18       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       2       0       0 #> 55        0       0       0       0       0      67       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       1       0       0       0       0       0       0 #> 61        0       0       0       0       7       0       0       0       0 #> 62        0       0      66       0       0       0       0       0       0 #> 63        0       0       0       0       1       0       0       0       0 #> 64        1       0       0       0       0       1       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1258 ASV1259 ASV1260 ASV1261 ASV1262 ASV1263 ASV1264 ASV1265 ASV1266 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       1       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       7       0       0       0       0 #> 5         0       0       0       0       0       1       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         1       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        1       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0      12       0       0      85       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       2       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        7       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        2       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       5       0      15       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       2       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0      20       0 #> 39        0       0      23       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       1       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0      33       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       6       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        1       0      10       0       0       0       0       0       0 #> 57        0       0       0       2       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0      99       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       9       0       0       0      91       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1267 ASV1268 ASV1269 ASV1270 ASV1271 ASV1272 ASV1273 ASV1274 ASV1275 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         4       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0      29 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0      10 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       1       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       3       2       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0      84       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       9       0       0       0       0       0       0 #> 20        0      89       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       1 #> 27        0       1       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0      12 #> 37        0       0       0       9       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       5       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       1       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0      70     102       0       0       0       0 #> 50        2       0       0       0       0       2       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       4       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       3       1       0       0       0       0 #> 57        0       0       0      10       0       2       0       0       0 #> 58        0       0       0       0       1       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62       89       0       0       1       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       1       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       2       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1276 ASV1278 ASV1279 ASV1280 ASV1281 ASV1282 ASV1283 ASV1284 ASV1285 #> 1         0       1       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0      21       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       2       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        5       2       0       0       0       0       0       0       0 #> 17        0       0       2       0       0       0       0       0       0 #> 18        0       0      13       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0      32       0       0       0       0       0       0       0 #> 25        1       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0     104       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0     104       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       1       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       4      57       0       0       0       0       0       0 #> 43        0       0       0       0       0       1       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       1       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       4       0       0 #> 51        0       6       8       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0      82       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0     102 #> 56        0       0       0       0       0       5       0       0       0 #> 57        0       2       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       1       0       0       0 #> 60        0       0       0       0       0       0       0       1       0 #> 61        0       0       0       0       0       0       0       1       0 #> 62        0       0       0       0       0       0      99       1       0 #> 63        0       2       0       0       0       0       0       0       0 #> 64        0       4       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1286 ASV1287 ASV1288 ASV1289 ASV1290 ASV1291 ASV1293 ASV1294 ASV1295 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       2       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       1       0       0 #> 13        0       0       0       0       0       0       1       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0      18       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       1       0       0 #> 19        0       0       0       0       0       0       1       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0      98       0       0       0       4       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0      67       0       0       0       0       0 #> 27        0       0       0       0       1       0       0       0       0 #> 28        0       2       0       0       1       0       0      70       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       5       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0     102 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       2       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0      17       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       3       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       1       0       0      31       0       0 #> 57        1       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       2       0       0 #> 60        0       0       0       0       0       0       4       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0      23       3       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0      91       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1296 ASV1297 ASV1298 ASV1300 ASV1301 ASV1302 ASV1303 ASV1304 ASV1305 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       1       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       2       3       0       0       0       0 #> 12        0       0       0       0       0       1       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       1       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       4       0       0 #> 26        0       0       0       0       0       0       0       6       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       5       0 #> 29        0       0       0       0       0      18       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       1       8       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       2      21       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       1       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       3       0       0     100 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61       25       0       0       0       0       2       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0      19       0       0       0       0       1       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       7       0       1       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1307 ASV1310 ASV1311 ASV1312 ASV1313 ASV1314 ASV1315 ASV1316 ASV1317 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0      59       0       0       0       0       0       0       0 #> 4         0       7       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0      12       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0      58       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0      70       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0      97       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       3       0       0 #> 17        0       1       0       0       0       0       0       0       0 #> 18        0      25       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       2       0       0 #> 21        0       0       0       0       0       0       7       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       8       0       0 #> 25        0       0      15       0       0       0      12       0       0 #> 26        0       0       0       0       3       0       0      63       0 #> 27        0       0       4       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       8       0 #> 35        0       0       0       3       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       1       0       0 #> 38        0       0       0       0       0       0       0       0       1 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       1       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       3       0       0       0       1       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       2       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57      100       0       0       0       0       0       3       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       1       0       0       0       0       7 #> 60        1       0       1       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       7       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1319 ASV1320 ASV1321 ASV1322 ASV1323 ASV1324 ASV1325 ASV1326 ASV1327 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         1       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0      91       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       7       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       1 #> 12        0       0       3       0       0       0       0       0       0 #> 13        0       0       7       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       4       0 #> 18        0       0       0       0       0       0       0       2       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        5       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       2       0       0       0       0       0       0 #> 25        0       0       5       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0      34 #> 27        0       0       2       0       0       0       0       0       0 #> 28        0       0       0      99       0       0       0       0       0 #> 29        0       0       1       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       2 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       2       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       1       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       1 #> 40        0       1       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       4       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        4       0       0       0      46       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0      29       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0      10       0       1       0       0      23       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       1       0       1       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       1 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1328 ASV1330 ASV1331 ASV1332 ASV1333 ASV1334 ASV1335 ASV1336 ASV1337 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       4       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       1       0       0       0       0       0 #> 12        0       0       0       0       0       0       1       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0      19       0       0 #> 15        0       0       0       0       0       0       0      10       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       1       0       0       0       0       0 #> 19        0       0       0       0       0       0       1       0       0 #> 20       16       0       0       0       0       0       0       1       0 #> 21        0       0       0       0       0       0       0       0       1 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       1       0       0       0       0       1 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       1       0 #> 27        0       0       0       0       0       6       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       2       0       0       3       0       0 #> 38        0      97       0       0       0       0       0       0      11 #> 39        0       0       0       0       0       4       0       0       0 #> 40        0       0       0       0       0       6       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       2 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        2       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       4       0       0       0       0       0 #> 50        0       0       0       0       0       0       1       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       2       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       2       0 #> 55        0       0       0       0       0       0       0       0       7 #> 56        0       0       0      15       0       0       0       0       0 #> 57        0       0       0       2       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       1       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       1       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       2       0       0       0       0       0 #> 64        0       0       0       0       0       0       0      31       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       1       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68       15       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1338 ASV1340 ASV1341 ASV1342 ASV1344 ASV1345 ASV1349 ASV1350 ASV1351 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0      13       0       5       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       2       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0      26       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       1       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       1       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0      19       0       0       0       0       0       0       0 #> 25        0      20       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       6       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0      11       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       1       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0      85 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       2       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        2       0       0       0       0       0       0       8       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0      32       0       0       0 #> 60        0       0       0      59       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       8       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       1       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0      19       0       0       0 #>     ASV1352 ASV1353 ASV1354 ASV1355 ASV1356 ASV1358 ASV1359 ASV1360 ASV1361 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0      92       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0      46       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0      91       0       0       0       1       0 #> 12        0       0       0       0       3       0       1       0       1 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0      17       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       9       0       0 #> 17        0       0       0       0       1       0       0       0       0 #> 18        0       0       0       0       1       0       0       0      89 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0      17       0       0 #> 25        0       0       0       0       0       0       2       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       3       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       1 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       2       0       0       0       0 #> 45        0       0       0       0      58       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       1       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       2       0       0 #> 51        0       0       0       1       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       8       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59       11       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       1       0       0 #> 61        0       1       0       0      27       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       2       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1362 ASV1363 ASV1364 ASV1365 ASV1366 ASV1367 ASV1368 ASV1369 ASV1370 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       1       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       1       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       1       0       1       0       0       0 #> 8         0       0       0       0       0       0      51       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0      89       0       0       0 #> 11        0       0       0       0      29       0       0       6       0 #> 12        0       0       0       0       0       0       0       1       0 #> 13       46       0       0       0       0       0       0       0       3 #> 14       38       0       0       0       0       0       0       0       3 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       1       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0      18      62 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       5       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       1       0       0       0       0       0 #> 25        0      89       0       0       1       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0      36       0       0       0       0 #> 28        0       0       0       2       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       1       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       1       0       0       0       1       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0      19       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0      18       0       0       0       0       5 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       1       1       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       2       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        1       0       0       0       1       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       1       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       1       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       7       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1371 ASV1372 ASV1373 ASV1374 ASV1375 ASV1376 ASV1377 ASV1378 ASV1379 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0      38 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        1       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        5       1       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27       81       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0      33       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0      69       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0      38       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0      16       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       4       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       3       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0      22       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       1       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1380 ASV1381 ASV1384 ASV1385 ASV1386 ASV1387 ASV1388 ASV1389 ASV1390 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0      29       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0      87       0       0      81       0       0       0 #> 13        0       0       0       0       0       0       1       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0      59       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        1       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       1       0       0       1       0       0       0 #> 21        0       0       0       0       2       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        3       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       1       0       0       0       0       0      22       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        1       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0      82       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       1       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54       74       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       1       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       2       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0      36       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1392 ASV1393 ASV1394 ASV1395 ASV1396 ASV1397 ASV1398 ASV1399 ASV1400 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       7       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        2       0       0       0      12       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       7       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       4       1       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       8       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       6       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0      76       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       1       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       4       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       8       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0      81 #> 57        0       0       0       0       0       4      22       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       1       0       0       2       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       3       0       0       2       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1401 ASV1402 ASV1403 ASV1404 ASV1405 ASV1406 ASV1407 ASV1408 ASV1409 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0      84       0       0       0       0       0       0       4 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0      14 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       2 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0      14       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       2 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0      24       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       1 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       3 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0      84       0       0       0       0 #> 50        0       0       0       0       0      11       0       0       1 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0      24       0       0       0       0       0       1 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       2 #> 61        0       0       0       0       0       0      84       0       0 #> 62        0       0       0       0       0      37       0       0       0 #> 63        0       0       0       0       0       0       0      83       2 #> 64        0       0       0       0       0      32       0       0       1 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1410 ASV1412 ASV1413 ASV1414 ASV1415 ASV1416 ASV1417 ASV1418 ASV1419 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0      11       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6        13       0       0       0       0       0       0       0       4 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       5       0       0       0       0       0 #> 16        0       0       0       0       0       0       0      55       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       1 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0      68       0       0       0       0 #> 30       21       0       0       0       0       0       0       0       0 #> 31        4       0       0       0       0       0       0       0       0 #> 32        6       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0      48 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       7 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0      10       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       3       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63       11       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0      17       0       0       0       0       0       0       1 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1420 ASV1421 ASV1422 ASV1423 ASV1424 ASV1425 ASV1426 ASV1427 ASV1428 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       1       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8        70       0       0       0       0       0       0       2       0 #> 9         0       3       0       0       0       0       0       0       9 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       1       2       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       8       0       0       0       0       0       0       0 #> 14        0       7       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0      38       0       0       0       0       1 #> 22        0       0       0       0       0       0       0       1       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       1       0       0       0       0       0       0      22 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       2 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       4 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       5       0 #> 34        0       0       0       0       0       0       0       8       0 #> 35        0       0       0       0       0       0       0       9       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       3       0       0       0       0       0       0      19 #> 38        0       0       0       0      53       0       0       0       0 #> 39        0       0       0       0       0       0       0       2       0 #> 40        0       0       0       0       0       0       0       6       0 #> 41        0       0       0       0       0       0       0       4       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       1 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        5       0       0       7       0       0       0       0       0 #> 48        0       5       0       0       0       0       0       0       2 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       3 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0      26       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       3       0       0       0       0       0       0       2 #> 58        6       0       0       0       0       0       0       2       0 #> 59        0       0       0       0       0      24       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       1       0       0       0       0       0       0       2 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       3       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1430 ASV1432 ASV1433 ASV1434 ASV1435 ASV1436 ASV1437 ASV1438 ASV1442 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0      12       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       1       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        1       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       3       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0      34       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0      28       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0      75       8       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       2       0 #> 29        0       0       0       1       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0      19       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0      59 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49       76       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       1       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       1       0       0 #> 60        0       0       0      19       0       0       0       0       0 #> 61        0       0       0       0      57       0       0       0       0 #> 62        0       0       0       9       0       0       0       0       0 #> 63        0       0       0       5       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0      45       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1443 ASV1444 ASV1447 ASV1448 ASV1449 ASV1450 ASV1451 ASV1452 ASV1453 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       2       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0      19       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       4       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        2       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0      78       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24       14       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       1       0      77       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        1       0       0       0       1       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0      23       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        5       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        1       0       0       0       0       0       0       0      77 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        4       0       0       0       0       0       0       0       0 #> 52        1       0       0       0       0       0       0       1       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0      52       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        8       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1454 ASV1455 ASV1456 ASV1457 ASV1458 ASV1459 ASV1460 ASV1461 ASV1462 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0      73       0       0       0       0 #> 4         0       0       0       0       3       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0      48       0       0       0 #> 13        0       0       0       0       0      16       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0      14      72       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       3       0       0      13 #> 21        0       0       0       0       0       0       0       0       4 #> 22        0       0       0       0       0       3       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       4 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       9 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       3 #> 45        0       0       0       0       0       0       0       0       0 #> 46        5       0       0       0       0       0       0       1       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       2 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       9 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       3       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       6 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1463 ASV1465 ASV1466 ASV1467 ASV1468 ASV1469 ASV1470 ASV1471 ASV1472 #> 1         0       0       8       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       4       0       0       0       0       0 #> 5         0       0       2       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       5       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0      35       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0      75      75       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        1       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34       46       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0      71 #> 37        0       0       2       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       1       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       6       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       1       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       4       0       0       0       0       0 #> 61        0       0       0      56       0       0       0       0       0 #> 62        0       0       0       3       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        3       0       0       0       0      11       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1476 ASV1477 ASV1478 ASV1479 ASV1480 ASV1481 ASV1482 ASV1483 ASV1484 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       1       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       1       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0      26       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       1 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       8       1       0       0       0       0       0 #> 12        0       0       0       0      74       0       0       1       0 #> 13        0       0       0       0       0       0       0       2       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       1       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       9       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       2       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0      44 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       6       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       3       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       1       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       1       0       0       0       0       0       0       0 #> 40        0      43       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       2       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0      32       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       7 #> 54        0       0       0       0       0       0       0       4       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       3       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       2       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0      41       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       2 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1485 ASV1486 ASV1487 ASV1488 ASV1489 ASV1490 ASV1492 ASV1493 ASV1494 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       6       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12       73       3       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0      37       0 #> 14        0       0       0       0       0       0       0       1       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0      59       3       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       3 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0      10       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       4 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       2       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       6       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0      73       0       0      30       0 #> 48        0       1       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       2       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       6 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       4       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0      24 #> 61        0       0       0       0       0       0       0       1       6 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0      54       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1495 ASV1496 ASV1497 ASV1498 ASV1500 ASV1501 ASV1502 ASV1503 ASV1504 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0      63       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0      52       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       1       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        1       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0      10       0       0       0 #> 26        0       0       0       0       0       0       9       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0      69       0 #> 29        1       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       8       0       0       0       0       0       0       0 #> 34        0      27       0       0       0       0      17       0       0 #> 35        0      26       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0      13 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       2       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       6       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48       24       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0      52       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0      11 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       2       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1507 ASV1509 ASV1510 ASV1513 ASV1515 ASV1516 ASV1517 ASV1518 ASV1521 #> 1         0       0       0       4       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       3 #> 5         0       0       0       2       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0      39       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0      64       0       0       0       0 #> 13        0       0       0       0       0       8       0       0       0 #> 14        0       0       0       0       0      21       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0      24 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       1 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       1       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       2       0       0       0       0       1 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       1       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       1       0 #> 41        0       0       0       2       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       6       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       1       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0      34 #> 56        0       0       0       0       0       0       0       2       0 #> 57        0       0       0       0       0       3       0       0       1 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        1       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0      20       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        7       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       1       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1523 ASV1524 ASV1525 ASV1526 ASV1527 ASV1528 ASV1529 ASV1531 ASV1532 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       2       0 #> 5         0       0       0       0       0       0       0       0      36 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        2       0       0       0       0       0       0       0       8 #> 12        0      66       0       0       0       0       0       0       0 #> 13        0       0      12       0       0       0       0       0       0 #> 14        0       0      13      39       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0      18       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28       11       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       1       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       4 #> 42        0       0       0       0       0       0       0       0       1 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0      40       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       1       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       1       0       0       0       0       0       0 #> 65        0       0       0       0      65       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1533 ASV1534 ASV1535 ASV1536 ASV1537 ASV1538 ASV1539 ASV1541 ASV1542 #> 1         0       0       0      15       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0      53       0       0       0       8 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0      63      63       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        3       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       2       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       2       0       0       0       0       0 #> 38        0       0       0       0       8       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       1       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0      52       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       5       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       1       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       1       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1543 ASV1544 ASV1545 ASV1546 ASV1548 ASV1549 ASV1550 ASV1551 ASV1552 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       1       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       4       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0      15       0       0       0       0 #> 18        0       0       0       0       0       0       0       0      12 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0      55       0 #> 36        0       0       0       0       0       5       0       0       0 #> 37       56       2       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       5       0       0       0 #> 42        0       4       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       8       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0      29       0       0       0       0       0       0       0 #> 51        0       0       0       0      40       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0      15 #> 57        0       0       0       0       1       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       6       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       1       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1553 ASV1554 ASV1557 ASV1558 ASV1559 ASV1560 ASV1561 ASV1562 ASV1563 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       2       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       2       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       4       0       0       0      58       1       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       2       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0      58 #> 27        0       0       0       0       0       0       0       0       0 #> 28        1       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       1       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       1       0       0       0 #> 33        0       0       0       0       0       1       0       0       0 #> 34        0       0       0       0       0       1       0       0       0 #> 35        0       0       0       0       0       2       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0      19       0       0       0       0       1       0 #> 38        0       0       0      36       0       0       0       0       0 #> 39        0       0       0       0       0       1       0       0       0 #> 40        0       0       0       0       0       1       0       0       0 #> 41        0       0       0       0       0       2       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       1       0       0       0 #> 44        0       0       0       6       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       3       0       0       0       0       0 #> 48        2       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       1       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       1       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       2       0      49       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        4       0       0       0       0       3       0       0       0 #> 59        0       0       0       0       0       1       0       2       0 #> 60       47       0       0       0       0       0       0       0       0 #> 61        0       0       3       0       0       1       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       1       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       2       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       1       0       0       0 #> 68        6       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1564 ASV1565 ASV1568 ASV1569 ASV1570 ASV1571 ASV1573 ASV1574 ASV1575 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       1       0       0       0       0       5      15 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       1      25       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       1       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0      20       0       0       0       0 #> 18        0       0       0       0       7       0       0       0       0 #> 19        0       0      27       0       2       0       0       0       0 #> 20        0       0       0      32       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       2       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       1       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       9       0       0       0 #> 29        0       0       3       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33       17       0       0       0       0       0       1       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0      46       0       0 #> 36        0       0       0       0       0       0       1       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0      24       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       4       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       3       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0      13       0       0       0       0      44       0 #> 59        0       0       0       0       0       0       0       2       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0      34       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       1       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1576 ASV1577 ASV1578 ASV1580 ASV1581 ASV1582 ASV1583 ASV1584 ASV1585 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         2       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       8       0       0       0       0       0       0       0 #> 11        0       0       1       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       5       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       3       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0      51       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0      43 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0      47       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       6       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       1       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0      19       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1586 ASV1587 ASV1588 ASV1589 ASV1591 ASV1592 ASV1593 ASV1594 ASV1595 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0      20      31       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       1       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0      12       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0      51       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       1       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0      32       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        2       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42       20       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       2       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0      55       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57       27       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       2       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        5       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0      53 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1597 ASV1600 ASV1601 ASV1602 ASV1603 ASV1604 ASV1605 ASV1606 ASV1607 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       1       1       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       2       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0      14       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       1       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       1       0       0       0       1       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       3       0       0       8       0       0 #> 25       52       0       0       0       0       0       1       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0      49       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       3       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       1       0       0       0      41 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       1       0       0 #> 48        0       0       0      20       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       4       0      39       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       1       0       0 #> 53        0       0       0       0       0       0       1       0       0 #> 54        0       0       0       0       0       0       1       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       5       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       1       0       0       5       1       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0      40       0       0       0       0       0       0 #> 69        0       0       0       0      23       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1609 ASV1610 ASV1611 ASV1612 ASV1613 ASV1614 ASV1615 ASV1616 ASV1618 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       1       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       1       0       0       0       0 #> 13        0       0       0       0       2       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18       20       0       0       2       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       6       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       1       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0      23       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       4       0       0       4       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       6       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0      44       0       0       0       2       0 #> 63        0       0       0       0      12       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0      11       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1620 ASV1621 ASV1622 ASV1624 ASV1625 ASV1627 ASV1628 ASV1629 ASV1630 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       2       0       0       0       0       0 #> 5         0       0       0      37       0       0       0       0       0 #> 6         0       0       0       0       0       0       6       0       5 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       3       0       0       0       0 #> 11        0       0       0       1       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       1       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        6       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       1       0 #> 19        3       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0      11       0       0       0       0 #> 27        0       2       0       0       5       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       2       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0      43       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0      42       0       0       0       0       0       8       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0      24       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0      43       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1631 ASV1632 ASV1633 ASV1634 ASV1635 ASV1636 ASV1638 ASV1639 ASV1641 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0      19       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0      12       1 #> 12        0      10       0       0       0       0       0       0       0 #> 13        0       0       0       0       1       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       1       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       1       0       0       1       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        3       0       0       1       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       2       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0      12       6       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       2       2       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       3       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       1       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0      33       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       2 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1642 ASV1644 ASV1645 ASV1648 ASV1649 ASV1650 ASV1651 ASV1653 ASV1654 #> 1         0      11       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       1       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8        36       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0      17       0       0       1       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       5       0       0       0       0 #> 17        0       0       0       0       0       0       0       1       0 #> 18        0       0       0       0       0       6      33       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       1       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       6       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       1       0       0       0       0       0       0 #> 50        0       0       0       0       8       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       2       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       3       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1656 ASV1657 ASV1658 ASV1661 ASV1662 ASV1663 ASV1664 ASV1665 ASV1666 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       5 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        6       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       5       0       0       0       0       0       0       0 #> 34        0       1       1       5       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       5       0       0       0       0       0 #> 37        1      18       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       1       0       0       0 #> 43        0       0       0       2       0       0       0       0       0 #> 44        1       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0      27       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       1       0       0       0       0       0 #> 57        0       0       0       0       0       0       1       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       1       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       1       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0      29       3 #> 66        0       0       1       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1667 ASV1670 ASV1671 ASV1672 ASV1673 ASV1674 ASV1677 ASV1680 ASV1681 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       2       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       1       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       0       0       0       0       0 #> 19        0       0       1       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       1       0       0       0 #> 22        0       0       0       0       0       2       0       0       0 #> 23        0       0       0       0       0       0       0       0       2 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       2       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0       0       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       1       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       1       0       0       0 #> 37        0       0       2       0       0       0       0       0       0 #> 38        0       0      21       0      22       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44       18       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       3       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       1       0       0       0 #> 57        0       0       0       0       0       0       0       0       1 #> 58        0       0       0       0       0       2       0       0       0 #> 59        0       0       0       0       0       2       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        1       0       0       0       0       2       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       2       0       0       0 #> 66        0       0       0       0       0       1       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        6       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1683 ASV1684 ASV1687 ASV1689 ASV1690 ASV1691 ASV1694 ASV1697 ASV1704 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       2       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       1       0       1       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       0       0       0       0       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14       18       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       0       0 #> 17        0       0       0       0       0       0       0       0       0 #> 18        0       0       0       0       2       0       0       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       2       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0      11       0       0       0       0       0       0 #> 26        0       0       0       0       0       4       0       0       0 #> 27        0       0       0       0       0       1       0       1       0 #> 28        0       1       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       2       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       3       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       3       0       0       0       0       0 #> 43        0       1       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       7       0       7       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       1       0       0       0       0      16       0       0 #> 55        0       0       0       0       0       0       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        2       0       0       0       0       0       0       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1705 ASV1706 ASV1707 ASV1708 ASV1709 ASV1710 ASV1712 ASV1714 ASV1716 #> 1         0       0       0       0       0       0       0       0       0 #> 2         0       0       0       0       0       0       0       0       0 #> 3         0       0       0       0       0       0       0       0       0 #> 4         0       0       0       0       0       0       0       0       0 #> 5         0       0       0       0       0       0       0       0       0 #> 6         0       0       0       0       0       0       0       0       0 #> 7         0       0       0       0       0       0       0       0       0 #> 8         0       0       0       0       0       0       0       0       0 #> 9         0       1       0       0      10       0       0       0       0 #> 10        0       0       0       0       0       0       0       0       0 #> 11        0       0       0       0       0       0       0       0       0 #> 12        0       0       0       0       0       0       0       0       0 #> 13        0       0       0       0       0       0       0       0       0 #> 14        0       0       0       0       0       0       0       0       0 #> 15        0       0       0       0       0       0       0       0       0 #> 16        0       0       0       0       0       0       0       8       0 #> 17        0       0       0       0       0       0       0       0       8 #> 18        0       2       0       0       0       0       1       0       0 #> 19        0       0       0       0       0       0       0       0       0 #> 20        0       0       0       0       0       0       0       0       0 #> 21        0       0       0       0       0       0       0       0       0 #> 22        0       0       0       0       0       0       0       0       0 #> 23        0       0       0       0       0       0       0       0       0 #> 24        0       0       0       0       0       0       0       0       0 #> 25        0       0       0       0       0       0       0       0       0 #> 26        0       0       0       0       0       0       0       0       0 #> 27        0       0      10       0       0       0       0       0       0 #> 28        0       0       0       0       0       0       0       0       0 #> 29        0       0       0       0       0       0       0       0       0 #> 30        0       0       0       0       0       0       0       0       0 #> 31        0       0       0       0       0       0       0       0       0 #> 32        0       0       0       0       0       0       0       0       0 #> 33        0       0       0       0       0       0       0       0       0 #> 34        0       0       0       0       0       0       0       0       0 #> 35        0       0       0       0       0       0       0       0       0 #> 36        0       0       0       0       0       0       0       0       0 #> 37        0       0       0       0       0       0       0       0       0 #> 38        0       0       0       0       0       0       0       0       0 #> 39        0       0       0       0       0       0       0       0       0 #> 40        0       0       0       0       0       0       0       0       0 #> 41        0       0       0       0       0       0       0       0       0 #> 42        0       0       0       0       0       0       0       0       0 #> 43        0       0       0       0       0       0       0       0       0 #> 44        0       0       0       0       0       0       0       0       0 #> 45        0       0       0       0       0       0       0       0       0 #> 46        0       0       0       0       0       0       0       0       0 #> 47        0       0       0       0       0       0       0       0       0 #> 48        0       0       0       0       0       0       0       0       0 #> 49        0       0       0       0       0       0       0       0       0 #> 50        0       0       0       0       0       0       0       0       0 #> 51        0       0       0       0       0       0       0       0       0 #> 52        0       0       0       0       0       0       0       0       0 #> 53        0       0       0       0       0       0       0       0       0 #> 54        0       0       0       0       0       0       0       0       0 #> 55        0       0       0       0       0      10       0       0       0 #> 56        0       0       0       0       0       0       0       0       0 #> 57        0       0       0       0       0       0       0       0       0 #> 58        0       0       0       0       0       0       0       0       0 #> 59        0       0       0       0       0       0       0       0       0 #> 60        0       0       0       0       0       0       0       0       0 #> 61        0       4       0       0       0       0       6       0       0 #> 62        0       0       0       0       0       0       0       0       0 #> 63        0       0       0       0       0       0       0       0       0 #> 64        0       0       0       0       0       0       0       0       0 #> 65        0       0       0       0       0       0       0       0       0 #> 66        0       0       0       0       0       0       0       0       0 #> 67        0       0       0       0       0       0       0       0       0 #> 68        0       0       0       0       0       0       0       0       0 #> 69        0       0       0       0       0       0       0       0       0 #> 70        0       0       0       0       0       0       0       0       0 #>     ASV1719 ASV1726 #> 1         0       0 #> 2         0       0 #> 3         0       0 #> 4         0       0 #> 5         0       0 #> 6         0       0 #> 7         0       0 #> 8         0       0 #> 9         0       0 #> 10        0       0 #> 11        0       0 #> 12        0       2 #> 13        0       0 #> 14        0       0 #> 15        0       0 #> 16        0       0 #> 17        0       0 #> 18        0       0 #> 19        0       0 #> 20        0       0 #> 21        0       0 #> 22        0       0 #> 23        0       0 #> 24        0       0 #> 25        0       0 #> 26        0       0 #> 27        0       0 #> 28        0       0 #> 29        0       0 #> 30        0       0 #> 31        0       0 #> 32        0       0 #> 33        0       0 #> 34        0       0 #> 35        0       0 #> 36        0       0 #> 37        0       0 #> 38        0       0 #> 39        0       0 #> 40        0       0 #> 41        0       0 #> 42        0       0 #> 43        0       0 #> 44        0       0 #> 45        0       0 #> 46        0       0 #> 47        0       0 #> 48        0       0 #> 49        0       0 #> 50        0       0 #> 51        0       0 #> 52        0       0 #> 53        0       0 #> 54        0       0 #> 55        0       0 #> 56        0       0 #> 57        0       0 #> 58        0       0 #> 59        0       0 #> 60        0       0 #> 61        0       0 #> 62        0       0 #> 63        0       0 #> 64        0       0 #> 65        0       0 #> 66        0       0 #> 67        0       0 #> 68        0       0 #> 69        0       0 #> 70        0       0 #>  [ reached getOption(\"max.print\") -- omitted 115 rows ]"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/reorder_taxa_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Reorder taxa in otu_table/tax_table/refseq slot of a phyloseq object — reorder_taxa_pq","title":"Reorder taxa in otu_table/tax_table/refseq slot of a phyloseq object — reorder_taxa_pq","text":"Note taxa order physeq object tree locked order leaf phylogenetic tree.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/reorder_taxa_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Reorder taxa in otu_table/tax_table/refseq slot of a phyloseq object — reorder_taxa_pq","text":"","code":"reorder_taxa_pq(physeq, names_ordered, remove_phy_tree = FALSE)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/reorder_taxa_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Reorder taxa in otu_table/tax_table/refseq slot of a phyloseq object — reorder_taxa_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. names_ordered (required): Names taxa (must taxa taxa_names(physeq)) given order remove_phy_tree (logical, default FALSE) TRUE, phylogenetic tree removed. ","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/reorder_taxa_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Reorder taxa in otu_table/tax_table/refseq slot of a phyloseq object — reorder_taxa_pq","text":"phyloseq object","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/reorder_taxa_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Reorder taxa in otu_table/tax_table/refseq slot of a phyloseq object — reorder_taxa_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/reorder_taxa_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Reorder taxa in otu_table/tax_table/refseq slot of a phyloseq object — reorder_taxa_pq","text":"","code":"data_fungi_ordered_by_genus <- reorder_taxa_pq(   data_fungi,   taxa_names(data_fungi)[order(as.vector(data_fungi@tax_table[, \"Genus\"]))] )  data_fungi_asc_ordered_by_abundance <- reorder_taxa_pq(   data_fungi,   taxa_names(data_fungi)[order(taxa_sums(data_fungi))] )"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ridges_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Ridge plot of a phyloseq object — ridges_pq","text":"","code":"ridges_pq(physeq, fact, nb_seq = TRUE, log10trans = TRUE, ...)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ridges_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Ridge plot of a phyloseq object — ridges_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. fact (required) Name factor physeq@sam_data used plot different lines nb_seq (logical; default TRUE) set FALSE, number ASV count. Concretely, physeq otu_table transformed binary otu_table (value different zero set one) log10trans (logical, default TRUE) TRUE, number sequences (ASV nb_seq = FALSE) log10 transformed. ... params passed ggridges::geom_density_ridges()","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ridges_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Ridge plot of a phyloseq object — ridges_pq","text":"ggplot2 plot  bar representing number sequence en taxonomic groups","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ridges_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Ridge plot of a phyloseq object — ridges_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/ridges_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Ridge plot of a phyloseq object — ridges_pq","text":"","code":"ridges_pq(data_fungi_mini, \"Time\", alpha = 0.5, log10trans = FALSE) + xlim(c(0, 1000)) #> Scale for x is already present. #> Adding another scale for x, which will replace the existing scale. #> Picking joint bandwidth of 40.1 #> Warning: Removed 99 rows containing non-finite values (`stat_density_ridges()`).  ridges_pq(data_fungi_mini, \"Time\", alpha = 0.5, scale = 0.9) #> Picking joint bandwidth of 0.428  ridges_pq(data_fungi_mini, \"Sample_names\", log10trans = TRUE) #> Picking joint bandwidth of 0.551   ridges_pq(data_fungi_mini,   \"Time\",   jittered_points = TRUE,   position = ggridges::position_points_jitter(width = 0.05, height = 0),   point_shape = \"|\", point_size = 3, point_alpha = 1, alpha = 0.7,   scale = 0.8 ) #> Picking joint bandwidth of 0.428"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/rotl_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"rotl wrapper for phyloseq data — rotl_pq","title":"rotl wrapper for phyloseq data — rotl_pq","text":"Make phylogenetic tree using ASV names physeq object Open Tree Life tree.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/rotl_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"rotl wrapper for phyloseq data — rotl_pq","text":"","code":"rotl_pq(physeq, species_colnames = \"Genus_species\", context_name = \"All life\")"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/rotl_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"rotl wrapper for phyloseq data — rotl_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. species_colnames (default: \"Genus_species\"): name column species binominal name stored @tax_table slot. Can also vector two columns names e.g. c(\"Genus\", \"Species\") context_name : can bue used select part Open Tree Life. See ?rotl::tnrs_contexts() available values","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/rotl_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"rotl wrapper for phyloseq data — rotl_pq","text":"plot","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/rotl_pq.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"rotl wrapper for phyloseq data — rotl_pq","text":"function mainly wrapper work others. Please make reference rotl package use function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/rotl_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"rotl wrapper for phyloseq data — rotl_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/rotl_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"rotl wrapper for phyloseq data — rotl_pq","text":"","code":"library(\"rotl\") tr <- rotl_pq(data_fungi_mini, species_colnames = \"Genus_species\") #> Warning: Some names were duplicated: ‘stereum ostrea’, ‘ossicaulis lachnopus’, ‘fomes fomentarius’, ‘fomes fomentarius’, ‘xylodon raduloides’, ‘ossicaulis lachnopus’, ‘ossicaulis lachnopus’, ‘stereum ostrea’, ‘fomes fomentarius’, ‘xylodon raduloides’, ‘exidia glandulosa’. #> Warning: Some names were duplicated: ‘stereum ostrea’, ‘ossicaulis lachnopus’, ‘fomes fomentarius’, ‘fomes fomentarius’, ‘xylodon raduloides’, ‘ossicaulis lachnopus’, ‘ossicaulis lachnopus’, ‘stereum ostrea’, ‘fomes fomentarius’, ‘xylodon raduloides’, ‘exidia glandulosa’. #> Warning: Dropping singleton nodes with labels: mrcaott109ott9895, mrcaott109ott50573, mrcaott109ott233596, mrcaott109ott206, mrcaott109ott240843, mrcaott109ott11233, mrcaott11233ott46244, mrcaott11233ott47319, mrcaott47319ott135577, mrcaott47319ott317441, mrcaott47319ott55252, mrcaott2427ott25198, mrcaott25198ott140745, Lyophyllaceae ott1048880, mrcaott25198ott343967, mrcaott343967ott434508, Ossicaulis ott343990, mrcaott30821ott46242, Pterulaceae ott637619, Radulomyces ott82394, mrcaott471ott44719, mrcaott471ott5265, mrcaott32867ott86441, mrcaott86441ott477103, mrcaott86441ott159293, mrcaott159293ott212207, Hericium ott1044744, mrcaott106245ott181624, mrcaott106245ott295001, mrcaott106245ott424266, mrcaott106245ott237731, mrcaott1939ott4100, mrcaott1939ott86215, mrcaott1939ott52426, mrcaott1939ott7501, mrcaott1939ott459078, mrcaott1939ott31634, mrcaott1939ott228595, mrcaott1939ott137433, Trametes ott205112, mrcaott6711ott6854, mrcaott6711ott39549, Meruliaceae ott42234, mrcaott42575ott455004, Schizoporaceae ott580418, Xylodon ott640041, Peniophorella ott351728, Marchandiomyces ott985876, mrcaott2361ott40692, Cantharellales ott558119, mrcaott2361ott10072, mrcaott2361ott70669, mrcaott2361ott30094, mrcaott2361ott133843, Hydnaceae ott160852, Sistotrema ott604159, mrcaott3860ott11234, mrcaott11234ott134670, Auricularia ott183795, Exidia ott133079, Aporpiaceae ott938070, Elmerina ott654643, Fomes ott5342097 plot(tr)  if (FALSE) {   tr_Asco <- rotl_pq(data_fungi, species_colnames = \"Genus_species\", context_name = \"Ascomycetes\")   plot(tr_Asco) }"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/sample_data_with_new_names.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Load sample data from file and rename samples using names of samples and an\noptional order — sample_data_with_new_names","text":"","code":"sample_data_with_new_names(   file_path,   names_of_samples,   samples_order = NULL,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/sample_data_with_new_names.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Load sample data from file and rename samples using names of samples and an\noptional order — sample_data_with_new_names","text":"file_path (required) path sample_data file names_of_samples (required) vector sample names samples_order Optional numeric vector sort sample names ... arguments passed utils::read.delim() function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/sample_data_with_new_names.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Load sample data from file and rename samples using names of samples and an\noptional order — sample_data_with_new_names","text":"data.frame file_path new names","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/sample_data_with_new_names.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Load sample data from file and rename samples using names of samples and an\noptional order — sample_data_with_new_names","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/sample_data_with_new_names.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Load sample data from file and rename samples using names of samples and an\noptional order — sample_data_with_new_names","text":"","code":"sam_file <- system.file(\"extdata\", \"sam_data.csv\", package = \"MiscMetabar\") sample_data_with_new_names(sam_file, paste0(\"Samples_\", seq(1, 185))) #>                                             X      Sample_names   Tree_name #> Samples_1      A10-005-B_S188_MERGED.fastq.gz    A10-005-B_S188     A10-005 #> Samples_2      A10-005-H_S189_MERGED.fastq.gz    A10-005-H_S189     A10-005 #> Samples_3      A10-005-M_S190_MERGED.fastq.gz    A10-005-M_S190     A10-005 #> Samples_4        A12-007_S191_MERGED.fastq.gz      A12-007_S191     A12-007 #> Samples_5        A12-007-B_S2_MERGED.fastq.gz      A12-007-B_S2     A12-007 #> Samples_6          A15-004_S3_MERGED.fastq.gz        A15-004_S3     A15-004 #> Samples_7           A8-005_S4_MERGED.fastq.gz         A8-005_S4      A8-005 #> Samples_8           A9-012_S5_MERGED.fastq.gz         A9-012_S5      A9-012 #> Samples_9      AB29-ABMX-H_S6_MERGED.fastq.gz    AB29-ABMX-H_S6  AB29-abm-X #> Samples_10        AC27-013_S7_MERGED.fastq.gz       AC27-013_S7    AC27-013 #> Samples_11         AC29033_S8_MERGED.fastq.gz        AC29033_S8    AC29-033 #> Samples_12      AD26-005-B_S9_MERGED.fastq.gz     AD26-005-B_S9    AD26-005 #> Samples_13     AD26-005-H_S10_MERGED.fastq.gz    AD26-005-H_S10    AD26-005 #> Samples_14     AD26-005-M_S11_MERGED.fastq.gz    AD26-005-M_S11    AD26-005 #> Samples_15    AD30-ABMX-M_S12_MERGED.fastq.gz   AD30-ABMX-M_S12  AD30-abm-X #> Samples_16     AD32-007-M_S13_MERGED.fastq.gz    AD32-007-M_S13    AD32-007 #> Samples_17     ADABM30X-B_S14_MERGED.fastq.gz    ADABM30X-B_S14  AD30-abm-X #> Samples_18     ADABM30X-H_S15_MERGED.fastq.gz    ADABM30X-H_S15  AD30-abm-X #> Samples_19     ADABM30X-M_S16_MERGED.fastq.gz    ADABM30X-M_S16  AD30-abm-X #> Samples_20    AE30-ABM507_S17_MERGED.fastq.gz   AE30-ABM507_S17 AE30-abm507 #> Samples_21        B17-014_S18_MERGED.fastq.gz       B17-014_S18     BI7-014 #> Samples_22      B18-006-B_S19_MERGED.fastq.gz     B18-006-B_S19     B18-006 #> Samples_23    BA16-036bis_S20_MERGED.fastq.gz   BA16-036bis_S20    BA16-036 #> Samples_24     BA17-050-B_S21_MERGED.fastq.gz    BA17-050-B_S21    BA17-050 #> Samples_25     BB19-006-H_S22_MERGED.fastq.gz    BB19-006-H_S22    BB19-006 #> Samples_26      BB6-019-B_S23_MERGED.fastq.gz     BB6-019-B_S23     BB6-019 #> Samples_27      BB6-019-H_S24_MERGED.fastq.gz     BB6-019-H_S24     BB6-019 #> Samples_28      BB6-019-M_S25_MERGED.fastq.gz     BB6-019-M_S25     BB6-019 #> Samples_29       BD14-021_S26_MERGED.fastq.gz      BD14-021_S26    BD14-021 #> Samples_30      BE9-006-B_S27_MERGED.fastq.gz     BE9-006-B_S27     BE9-006 #> Samples_31      BE9-006-H_S28_MERGED.fastq.gz     BE9-006-H_S28     BE9-006 #> Samples_32      BE9-006-M_S29_MERGED.fastq.gz     BE9-006-M_S29     BE9-006 #> Samples_33      BG7-010-B_S30_MERGED.fastq.gz     BG7-010-B_S30     BG7-010 #> Samples_34      BG7-010-H_S31_MERGED.fastq.gz     BG7-010-H_S31     BG7-010 #> Samples_35      BG7-010-M_S32_MERGED.fastq.gz     BG7-010-M_S32     BG7-010 #> Samples_36        BH9-021_S33_MERGED.fastq.gz       BH9-021_S33     BH9-021 #> Samples_37     BJ17-007-M_S34_MERGED.fastq.gz    BJ17-007-M_S34    BJ17-007 #> Samples_38    BJ8-ABM-003_S35_MERGED.fastq.gz   BJ8-ABM-003_S35   BJ8abm003 #> Samples_39      BL7-006-B_S36_MERGED.fastq.gz     BL7-006-B_S36     BL7-006 #> Samples_40      BL7-006-H_S37_MERGED.fastq.gz     BL7-006-H_S37     BL7-006 #> Samples_41      BL7-006-M_S38_MERGED.fastq.gz     BL7-006-M_S38     BL7-006 #> Samples_42       BN11-041_S39_MERGED.fastq.gz      BN11-041_S39    BN11-041 #> Samples_43        BN9-002_S40_MERGED.fastq.gz       BN9-002_S40     BN9-002 #> Samples_44        BO8-002_S41_MERGED.fastq.gz       BO8-002_S41     BO8-002 #> Samples_45        BO8-005_S42_MERGED.fastq.gz       BO8-005_S42     BO8-005 #> Samples_46     BP11-001-B_S43_MERGED.fastq.gz    BP11-001-B_S43    BP11-001 #> Samples_47     BP11-001-H_S44_MERGED.fastq.gz    BP11-001-H_S44    BP11-001 #> Samples_48     BP11-001-M_S45_MERGED.fastq.gz    BP11-001-M_S45    BP11-001 #> Samples_49     BP12-025-B_S46_MERGED.fastq.gz    BP12-025-B_S46    BP12-025 #> Samples_50       BP14-006_S47_MERGED.fastq.gz      BP14-006_S47    BP14-006 #> Samples_51        BQ3-019_S48_MERGED.fastq.gz       BQ3-019_S48     BQ3-019 #> Samples_52      BQ4-018-B_S49_MERGED.fastq.gz     BQ4-018-B_S49     BQ4-018 #> Samples_53      BQ4-018-H_S50_MERGED.fastq.gz     BQ4-018-H_S50     BQ4-018 #> Samples_54      BQ4-018-M_S51_MERGED.fastq.gz     BQ4-018-M_S51     BQ4-018 #> Samples_55     BQ9ABM-002_S52_MERGED.fastq.gz    BQ9ABM-002_S52   BQ9abm002 #> Samples_56        BR8-005_S53_MERGED.fastq.gz       BR8-005_S53     BR8-005 #> Samples_57       BS14-006_S54_MERGED.fastq.gz      BS14-006_S54    BS14-006 #> Samples_58       BT-006-M_S55_MERGED.fastq.gz      BT-006-M_S55     BT7-006 #> Samples_59        BT7-006_S56_MERGED.fastq.gz       BT7-006_S56     BT7-006 #> Samples_60     BV11-002-B_S57_MERGED.fastq.gz    BV11-002-B_S57    BU11-002 #> Samples_61     BV11-002-H_S58_MERGED.fastq.gz    BV11-002-H_S58    BU11-002 #> Samples_62     BV11-002-M_S59_MERGED.fastq.gz    BV11-002-M_S59    BU11-002 #> Samples_63        BW8-003_S60_MERGED.fastq.gz       BW8-003_S60     BW8-003 #> Samples_64         C1-001_S61_MERGED.fastq.gz        C1-001_S61      C1-001 #> Samples_65      C21-NV1-B_S62_MERGED.fastq.gz     C21-NV1-B_S62    C21-nv-1 #> Samples_66      C21-NV1-H_S63_MERGED.fastq.gz     C21-NV1-H_S63    C21-nv-1 #> Samples_67      C21-NV1-M_S64_MERGED.fastq.gz     C21-NV1-M_S64    C21-nv-1 #> Samples_68         C9-005_S65_MERGED.fastq.gz        C9-005_S65      C9-005 #> Samples_69       CA12-024_S66_MERGED.fastq.gz      CA12-024_S66    CA12-024 #> Samples_70        CA9-027_S67_MERGED.fastq.gz       CA9-027_S67     CA9-027 #> Samples_71          CA9-X_S68_MERGED.fastq.gz         CA9-X_S68       CA9-X #> Samples_72      CB8-019-B_S69_MERGED.fastq.gz     CB8-019-B_S69     CB8-019 #> Samples_73      CB8-019-H_S70_MERGED.fastq.gz     CB8-019-H_S70     CB8-019 #> Samples_74      CB8-019-M_S71_MERGED.fastq.gz     CB8-019-M_S71     CB8-019 #> Samples_75        CB9-013_S72_MERGED.fastq.gz       CB9-013_S72     CB9-013 #> Samples_76        CC3-044_S73_MERGED.fastq.gz       CC3-044_S73     CC3-044 #> Samples_77        CC8-003_S74_MERGED.fastq.gz       CC8-003_S74     CC8-003 #> Samples_78        D17-011_S77_MERGED.fastq.gz       D17-011_S77     D17-011 #> Samples_79      D18-003-B_S78_MERGED.fastq.gz     D18-003-B_S78     D18-003 #> Samples_80      D18-003-H_S79_MERGED.fastq.gz     D18-003-H_S79     D18-003 #> Samples_81      D18-003-M_S80_MERGED.fastq.gz     D18-003-M_S80     D18-003 #> Samples_82     D22-NVABM1_S81_MERGED.fastq.gz    D22-NVABM1_S81 D22-nvabm-1 #> Samples_83      D61-010-B_S82_MERGED.fastq.gz     D61-010-B_S82     DG1-010 #> Samples_84       D9-027-B_S83_MERGED.fastq.gz      D9-027-B_S83      D9-027 #> Samples_85       D9-027-H_S84_MERGED.fastq.gz      D9-027-H_S84      D9-027 #> Samples_86       D9-027-M_S85_MERGED.fastq.gz      D9-027-M_S85      D9-027 #> Samples_87    DBM-ABM-001_S86_MERGED.fastq.gz   DBM-ABM-001_S86   DB1abm001 #> Samples_88      DJ2-008-B_S87_MERGED.fastq.gz     DJ2-008-B_S87     DJ2-008 #> Samples_89      DJ2-008-H_S88_MERGED.fastq.gz     DJ2-008-H_S88     DJ2-008 #> Samples_90      DJ2-008-M_S89_MERGED.fastq.gz     DJ2-008-M_S89     DJ2-008 #> Samples_91     DP4-ABM001_S90_MERGED.fastq.gz    DP4-ABM001_S90   DP4abm001 #> Samples_92   DS1-ABM002-B_S91_MERGED.fastq.gz  DS1-ABM002-B_S91   DS1abm002 #> Samples_93   DS1-ABM002-H_S92_MERGED.fastq.gz  DS1-ABM002-H_S92   DS1abm002 #> Samples_94   DS1-ABM002-M_S93_MERGED.fastq.gz  DS1-ABM002-M_S93   DS1abm002 #> Samples_95      DU3-045-B_S94_MERGED.fastq.gz     DU3-045-B_S94     DU3-045 #> Samples_96        DW4-007_S95_MERGED.fastq.gz       DW4-007_S95     DW4-007 #> Samples_97      DY5-004-B_S96_MERGED.fastq.gz     DY5-004-B_S96     DY5-004 #> Samples_98      DY5-004-H_S97_MERGED.fastq.gz     DY5-004-H_S97     DY5-004 #> Samples_99      DY5-004-M_S98_MERGED.fastq.gz     DY5-004-M_S98     DY5-004 #> Samples_100   DZ6-ABM-001_S99_MERGED.fastq.gz   DZ6-ABM-001_S99   DZ6abm001 #> Samples_101     E9-009-B_S100_MERGED.fastq.gz     E9-009-B_S100      E9-009 #> Samples_102     E9-009-H_S101_MERGED.fastq.gz     E9-009-H_S101      E9-009 #> Samples_103     E9-009-M_S102_MERGED.fastq.gz     E9-009-M_S102      E9-009 #> Samples_104  EA5-ABM-001_S103_MERGED.fastq.gz  EA5-ABM-001_S103    EAabm001 #> Samples_105    EC2-013-B_S104_MERGED.fastq.gz    EC2-013-B_S104     EC2-013 #> Samples_106   F6-ABM-001_S105_MERGED.fastq.gz   F6-ABM-001_S105    F6abm001 #> Samples_107     F7-015-M_S106_MERGED.fastq.gz     F7-015-M_S106      F7-015 #> Samples_108    FOMES19-H_S108_MERGED.fastq.gz    FOMES19-H_S108     FOMES19 #> Samples_109    FOMES19-M_S109_MERGED.fastq.gz    FOMES19-M_S109     FOMES19 #> Samples_110    H10-018-M_S110_MERGED.fastq.gz    H10-018-M_S110     H10-018 #> Samples_111 H24-NVABM1-H_S111_MERGED.fastq.gz H24-NVABM1-H_S111 H24-nvabm-1 #> Samples_112    J18-004-B_S114_MERGED.fastq.gz    J18-004-B_S114     J18-004 #> Samples_113    J18-004-H_S115_MERGED.fastq.gz    J18-004-H_S115     J18-004 #> Samples_114    J18-004-M_S116_MERGED.fastq.gz    J18-004-M_S116     J18-004 #> Samples_115    K18-002-H_S117_MERGED.fastq.gz    K18-002-H_S117     K18-002 #> Samples_116   K26-NVABM1_S118_MERGED.fastq.gz   K26-NVABM1_S118 K26-nvamb-1 #> Samples_117       L19X-B_S119_MERGED.fastq.gz       L19X-B_S119       L19-X #> Samples_118       L19X-H_S120_MERGED.fastq.gz       L19X-H_S120       L19-X #> Samples_119       L19X-M_S121_MERGED.fastq.gz       L19X-M_S121       L19-X #> Samples_120    L23-002-B_S122_MERGED.fastq.gz    L23-002-B_S122     L23-002 #> Samples_121    L23-002-H_S123_MERGED.fastq.gz    L23-002-H_S123     L23-002 #> Samples_122    L23-002-M_S124_MERGED.fastq.gz    L23-002-M_S124     L23-002 #> Samples_123      M22-001_S125_MERGED.fastq.gz      M22-001_S125     M22-001 #> Samples_124       N19X-B_S126_MERGED.fastq.gz       N19X-B_S126       N19-X #> Samples_125       N19X-H_S127_MERGED.fastq.gz       N19X-H_S127       N19-X #> Samples_126       N19X-M_S128_MERGED.fastq.gz       N19X-M_S128       N19-X #> Samples_127    N22-001-B_S129_MERGED.fastq.gz    N22-001-B_S129     M22-001 #> Samples_128    N23-002-B_S130_MERGED.fastq.gz    N23-002-B_S130     N23-002 #> Samples_129    N23-002-H_S131_MERGED.fastq.gz    N23-002-H_S131     N23-002 #> Samples_130    N23-002-M_S132_MERGED.fastq.gz    N23-002-M_S132     N23-002 #> Samples_131     N25-ABMX_S133_MERGED.fastq.gz     N25-ABMX_S133   N25-abm-X #> Samples_132   NVABM-0058_S134_MERGED.fastq.gz   NVABM-0058_S134   nvabm0058 #> Samples_133 NVABM-0163-H_S135_MERGED.fastq.gz NVABM-0163-H_S135   nvabm0163 #> Samples_134   NVABM-0397_S138_MERGED.fastq.gz   NVABM-0397_S138   nvabm0397 #> Samples_135    NVABM0216_S136_MERGED.fastq.gz    NVABM0216_S136   nvabm0216 #> Samples_136  NVABM0244-M_S137_MERGED.fastq.gz  NVABM0244-M_S137   nvabm0244 #> Samples_137      O20-X-B_S139_MERGED.fastq.gz      O20-X-B_S139       O20-X #> Samples_138      O20-X-H_S140_MERGED.fastq.gz      O20-X-H_S140       O20-X #> Samples_139      O20-X-M_S141_MERGED.fastq.gz      O20-X-M_S141       O20-X #> Samples_140    O21-007-B_S142_MERGED.fastq.gz    O21-007-B_S142     O21-007 #> Samples_141    O21-007-H_S143_MERGED.fastq.gz    O21-007-H_S143     O21-007 #> Samples_142    O21-007-M_S144_MERGED.fastq.gz    O21-007-M_S144     O21-007 #> Samples_143    O24-003-B_S145_MERGED.fastq.gz    O24-003-B_S145     O24-003 #> Samples_144    O24-003-H_S146_MERGED.fastq.gz    O24-003-H_S146     O24-003 #> Samples_145    O24-003-M_S147_MERGED.fastq.gz    O24-003-M_S147     O24-003 #> Samples_146    O26-004-B_S148_MERGED.fastq.gz    O26-004-B_S148     O26-004 #> Samples_147    O26-004-H_S149_MERGED.fastq.gz    O26-004-H_S149     O26-004 #> Samples_148    O26-004-M_S150_MERGED.fastq.gz    O26-004-M_S150     O26-004 #> Samples_149      O27-012_S151_MERGED.fastq.gz      O27-012_S151     O27-012 #> Samples_150     O9-005-B_S152_MERGED.fastq.gz     O9-005-B_S152      C9-005 #> Samples_151    P19-023-M_S153_MERGED.fastq.gz    P19-023-M_S153     P19-023 #> Samples_152    P27-015-M_S154_MERGED.fastq.gz    P27-015-M_S154     P27-015 #> Samples_153   P27-ABM001_S155_MERGED.fastq.gz   P27-ABM001_S155  P27-abm001 #> Samples_154 Q27-ABM003-B_S156_MERGED.fastq.gz Q27-ABM003-B_S156  Q27-abm003 #> Samples_155     R25-ABMX_S157_MERGED.fastq.gz     R25-ABMX_S157   R25-abm-X #> Samples_156    R28-008-B_S158_MERGED.fastq.gz    R28-008-B_S158     R28-008 #> Samples_157    R28-008-H_S159_MERGED.fastq.gz    R28-008-H_S159     R28-008 #> Samples_158    R28-008-M_S160_MERGED.fastq.gz    R28-008-M_S160     R28-008 #> Samples_159      T28-011_S161_MERGED.fastq.gz      T28-011_S161     T28-011 #> Samples_160 T28-ABM602-B_S162_MERGED.fastq.gz T28-ABM602-B_S162  T28-abm602 #> Samples_161   U27-ABM002_S163_MERGED.fastq.gz   U27-ABM002_S163  U27-abm002 #> Samples_162     W25-ABMX_S164_MERGED.fastq.gz     W25-ABMX_S164   W25-abm-X #> Samples_163    W26-001-B_S165_MERGED.fastq.gz    W26-001-B_S165     W26-001 #> Samples_164    W26-001-H_S166_MERGED.fastq.gz    W26-001-H_S166     W26-001 #> Samples_165    W26-001-M_S167_MERGED.fastq.gz    W26-001-M_S167     W26-001 #> Samples_166      W30-006_S168_MERGED.fastq.gz      W30-006_S168     W30-006 #> Samples_167     W9-025-M_S169_MERGED.fastq.gz     W9-025-M_S169     W29-025 #> Samples_168    X24-009-B_S170_MERGED.fastq.gz    X24-009-B_S170     X24-009 #> Samples_169    X24-009-H_S171_MERGED.fastq.gz    X24-009-H_S171     X24-009 #> Samples_170    X24-009-M_S172_MERGED.fastq.gz    X24-009-M_S172     X24-009 #> Samples_171      X24-010_S173_MERGED.fastq.gz      X24-010_S173     X24-010 #> Samples_172    X29-004-B_S174_MERGED.fastq.gz    X29-004-B_S174     X29-004 #> Samples_173    X29-004-H_S175_MERGED.fastq.gz    X29-004-H_S175     X29-004 #> Samples_174    X29-004-M_S176_MERGED.fastq.gz    X29-004-M_S176     X29-004 #> Samples_175 Y21-ABM484-H_S177_MERGED.fastq.gz Y21-ABM484-H_S177  Y31-abm484 #> Samples_176    Y28-002-B_S178_MERGED.fastq.gz    Y28-002-B_S178     Y28-002 #> Samples_177    Y28-002-H_S179_MERGED.fastq.gz    Y28-002-H_S179     Y28-002 #> Samples_178    Y28-002-M_S180_MERGED.fastq.gz    Y28-002-M_S180     Y28-002 #> Samples_179    Y29-007-B_S181_MERGED.fastq.gz    Y29-007-B_S181     Y29-007 #> Samples_180    Y29-007-H_S182_MERGED.fastq.gz    Y29-007-H_S182     Y29-007 #> Samples_181    Y29-007-M_S183_MERGED.fastq.gz    Y29-007-M_S183     Y29-007 #> Samples_182 Y31-ABM484-B_S184_MERGED.fastq.gz Y31-ABM484-B_S184  Y31-abm484 #> Samples_183    Z29-001-H_S185_MERGED.fastq.gz    Z29-001-H_S185     Z29-001 #> Samples_184      Z30-002_S186_MERGED.fastq.gz      Z30-002_S186     Z30-002 #> Samples_185 Z30-ABM560-M_S187_MERGED.fastq.gz Z30-ABM560-M_S187  Z30-abm560 #>             Sample_id Height Diameter Time #> Samples_1         188    Low       52   15 #> Samples_2         189   High       52   15 #> Samples_3         190 Middle       52   15 #> Samples_4         191   <NA>     28,4    0 #> Samples_5           2    Low     28,4    0 #> Samples_6           3   <NA>     30,7    0 #> Samples_7           4   <NA>     32,8    0 #> Samples_8           5   <NA>     33,3    0 #> Samples_9           6   High       99    5 #> Samples_10          7   <NA>       32   15 #> Samples_11          8   <NA>     55,4   15 #> Samples_12          9    Low    115,5   15 #> Samples_13         10   High    115,5   15 #> Samples_14         11 Middle    115,5   15 #> Samples_15         12 Middle        -    5 #> Samples_16         13 Middle       52   NA #> Samples_17         14    Low        -    5 #> Samples_18         15   High        -    5 #> Samples_19         16 Middle        -    5 #> Samples_20         17   <NA>       10    5 #> Samples_21         18   <NA>     21,5   NA #> Samples_22         19    Low     32,5   10 #> Samples_23         20   <NA>     40,3   15 #> Samples_24         21    Low       30   10 #> Samples_25         22   High     37,5   15 #> Samples_26         23    Low     33,8    5 #> Samples_27         24   High     33,8    5 #> Samples_28         25 Middle     33,8    5 #> Samples_29         26   <NA>     32,4    5 #> Samples_30         27    Low     23,1    0 #> Samples_31         28   High     23,1    0 #> Samples_32         29 Middle     23,1    0 #> Samples_33         30    Low       32    0 #> Samples_34         31   High       32    0 #> Samples_35         32 Middle       32    0 #> Samples_36         33   <NA>     44,3    0 #> Samples_37         34 Middle       32    5 #> Samples_38         35   <NA>       40   15 #> Samples_39         36    Low     35,6    0 #> Samples_40         37   High     35,6    0 #> Samples_41         38 Middle     35,6    0 #> Samples_42         39   <NA>     38,3   NA #> Samples_43         40   <NA>     32,5    0 #> Samples_44         41   <NA>     26,5   10 #> Samples_45         42   <NA>       23    0 #> Samples_46         43    Low     47,5   15 #> Samples_47         44   High     47,5   15 #> Samples_48         45 Middle     47,5   15 #> Samples_49         46    Low     64,5   10 #> Samples_50         47   <NA>     25,3   10 #> Samples_51         48   <NA>       80   15 #> Samples_52         49    Low       34    0 #> Samples_53         50   High       34    0 #> Samples_54         51 Middle       34    0 #> Samples_55         52   <NA>       40   15 #> Samples_56         53   <NA>     36,8    0 #> Samples_57         54   <NA>       35   15 #> Samples_58         55 Middle       41    0 #> Samples_59         56   <NA>       41    0 #> Samples_60         57    Low       33    5 #> Samples_61         58   High       33    5 #> Samples_62         59 Middle       33    5 #> Samples_63         60   <NA>     38,2    0 #> Samples_64         61   <NA>       43   10 #> Samples_65         62    Low       30    0 #> Samples_66         63   High       30    0 #> Samples_67         64 Middle       30    0 #> Samples_68         65   <NA>       39    5 #> Samples_69         66   <NA>     18,3   NA #> Samples_70         67   <NA>     23,4    0 #> Samples_71         68   <NA>        -   15 #> Samples_72         69    Low     33,3    0 #> Samples_73         70   High     33,3    0 #> Samples_74         71 Middle     33,3    0 #> Samples_75         72   <NA>     32,3    5 #> Samples_76         73   <NA>     35,7    5 #> Samples_77         74   <NA>     36,5    0 #> Samples_78         77   <NA>     59,8    5 #> Samples_79         78    Low     45,5    5 #> Samples_80         79   High     45,5    5 #> Samples_81         80 Middle     45,5    5 #> Samples_82         81   <NA>       30    5 #> Samples_83         82    Low     36,3   15 #> Samples_84         83    Low     18,9   NA #> Samples_85         84   High     18,9   NA #> Samples_86         85 Middle     18,9   NA #> Samples_87         86   <NA>       40   15 #> Samples_88         87    Low     76,4    0 #> Samples_89         88   High     76,4    0 #> Samples_90         89 Middle     76,4    0 #> Samples_91         90   <NA>       60   15 #> Samples_92         91    Low       25   15 #> Samples_93         92   High       25   15 #> Samples_94         93 Middle       25   15 #> Samples_95         94    Low       38   15 #> Samples_96         95   <NA>       34   10 #> Samples_97         96    Low     60,4    0 #> Samples_98         97   High     60,4    0 #> Samples_99         98 Middle     60,4    0 #> Samples_100        99   <NA>       35   15 #> Samples_101       100    Low     29,5    0 #> Samples_102       101   High     29,5    0 #> Samples_103       102 Middle     29,5    0 #> Samples_104       103   <NA>       25   15 #> Samples_105       104    Low       52   15 #> Samples_106       105   <NA>       30   15 #> Samples_107       106 Middle       50   10 #> Samples_108       108   High     <NA>   NA #> Samples_109       109 Middle     <NA>   NA #> Samples_110       110 Middle     88,5   15 #> Samples_111       111   High       30    5 #> Samples_112       114    Low     27,6    0 #> Samples_113       115   High     27,6    0 #> Samples_114       116 Middle     27,6    0 #> Samples_115       117   High     33,5   10 #> Samples_116       118   <NA>       30    5 #> Samples_117       119    Low       30   NA #> Samples_118       120   High       30   NA #> Samples_119       121 Middle       30   NA #> Samples_120       122    Low     40,5   10 #> Samples_121       123   High     40,5   10 #> Samples_122       124 Middle     40,5   10 #> Samples_123       125   <NA>       34    0 #> Samples_124       126    Low     33,5   NA #> Samples_125       127   High     33,5   NA #> Samples_126       128 Middle     33,5   NA #> Samples_127       129    Low       34    0 #> Samples_128       130    Low     21,5   15 #> Samples_129       131   High     21,5   15 #> Samples_130       132 Middle     21,5   15 #> Samples_131       133   <NA>       20    5 #> Samples_132       134   <NA>       30   10 #> Samples_133       135   High       40   10 #> Samples_134       138   <NA>       35   10 #> Samples_135       136   <NA>       30   15 #> Samples_136       137 Middle       50   10 #> Samples_137       139    Low     <NA>   NA #> Samples_138       140   High     <NA>   NA #> Samples_139       141 Middle     <NA>   NA #> Samples_140       142    Low       25    0 #> Samples_141       143   High       25    0 #> Samples_142       144 Middle       25    0 #> Samples_143       145    Low       75    0 #> Samples_144       146   High       75    0 #> Samples_145       147 Middle       75    0 #> Samples_146       148    Low     30,4    0 #> Samples_147       149   High     30,4    0 #> Samples_148       150 Middle     30,4    0 #> Samples_149       151   <NA>     69,5   15 #> Samples_150       152    Low       39    5 #> Samples_151       153 Middle     18,4   NA #> Samples_152       154 Middle       96    5 #> Samples_153       155   <NA>       25    5 #> Samples_154       156    Low       10    5 #> Samples_155       157   <NA>        -    5 #> Samples_156       158    Low     37,2    0 #> Samples_157       159   High     37,2    0 #> Samples_158       160 Middle     37,2    0 #> Samples_159       161   <NA>     66,8   10 #> Samples_160       162    Low       64    5 #> Samples_161       163   <NA>       11    5 #> Samples_162       164   <NA>       40    5 #> Samples_163       165    Low     71,7    0 #> Samples_164       166   High     71,7    0 #> Samples_165       167 Middle     71,7    0 #> Samples_166       168   <NA>     59,6   10 #> Samples_167       169 Middle     71,5   NA #> Samples_168       170    Low     38,8    0 #> Samples_169       171   High     38,8    0 #> Samples_170       172 Middle     38,8    0 #> Samples_171       173   <NA>     37,8    5 #> Samples_172       174    Low     52,7   10 #> Samples_173       175   High     52,7   10 #> Samples_174       176 Middle     52,7   10 #> Samples_175       177   High       20    5 #> Samples_176       178    Low     63,6   NA #> Samples_177       179   High     63,6   NA #> Samples_178       180 Middle     63,6   NA #> Samples_179       181    Low     68,6    0 #> Samples_180       182   High     68,6    0 #> Samples_181       183 Middle     68,6    0 #> Samples_182       184    Low       20    5 #> Samples_183       185   High     35,2    5 #> Samples_184       186   <NA>     43,4   15 #> Samples_185       187 Middle       11    5"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/sankey_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Sankey plot of phyloseq-class object — sankey_pq","text":"","code":"sankey_pq(   physeq = NULL,   fact = NULL,   taxa = 1:4,   add_nb_seq = FALSE,   min_prop_tax = 0,   tax2remove = NULL,   units = NULL,   symbol2sub = c(\"\\\\.\", \"-\"),   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/sankey_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Sankey plot of phyloseq-class object — sankey_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. fact Name factor cluster samples modalities. Need physeq@sam_data. taxa vector taxonomic rank plot add_nb_seq Represent number sequences number OTUs (add_nb_seq = FALSE). Note plotting number sequences slower. min_prop_tax (default: 0) minimum proportion taxon plotted. EXPERIMENTAL. moment links min.prop. tax discard sankey network resulting sometimes weird plot. tax2remove vector taxonomic groups remove analysis (e.g. c('Incertae sedis', 'unidentified')) units character string describing physical units () Value symbol2sub (default: c('\\.', '-')) vector symbol delete taxonomy ... Additional arguments passed sankeyNetwork","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/sankey_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Sankey plot of phyloseq-class object — sankey_pq","text":"sankeyNetwork plot representing taxonomic distribution OTUs sequences. fact set, represent distribution last taxonomic level modalities fact","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/sankey_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Sankey plot of phyloseq-class object — sankey_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/sankey_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Sankey plot of phyloseq-class object — sankey_pq","text":"","code":"data(\"GlobalPatterns\", package = \"phyloseq\") GP <- subset_taxa(GlobalPatterns, GlobalPatterns@tax_table[, 1] == \"Archaea\") #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ sankey_pq(GP, fact = \"SampleType\") #> Warning: NAs introduced by coercion  {\"x\":{\"links\":{\"source\":[0,0,1,2,2,2,1,1,2,1,1,3,4,5,6,7,8,8,9,4,10,3,11,12,12,12,12,12,12,12,13,13,13,13,13,13,13,14,15,15,15,15,15,15,15,16,17,17,18,18,18,19,19,19,19,19,19,19,20,21,21,21,21,21,21],\"target\":[1,2,3,6,7,8,9,4,5,10,22,11,12,13,14,15,16,17,18,19,20,21,25,26,27,28,29,25,30,31,26,27,28,29,25,30,31,25,26,27,28,29,25,30,31,30,27,29,28,25,30,26,27,28,29,25,30,31,25,26,27,28,29,30,31],\"value\":[106,102,27,7,27,24,8,57,44,3,8,7,37,44,7,27,12,12,5,20,1,18,1,5,5,8,21,4,7,6,4,6,7,19,3,9,9,1,8,6,3,7,1,3,2,2,1,1,1,1,4,4,3,11,2,12,19,3,1,2,11,4,8,1,4]},\"nodes\":{\"name\":[\"Archaea\",\"Crenarchaeota\",\"Euryarchaeota\",\"C2\",\"Thaumarchaeota\",\"Thermoplasmata\",\"Halobacteria\",\"Methanobacteria\",\"Methanomicrobia\",\"SdNA\",\"Thermoprotei\",\"B10\",\"Cenarchaeales\",\"E2\",\"Halobacteriales\",\"Methanobacteriales\",\"Methanomicrobiales\",\"Methanosarcinales\",\"NRPJ\",\"Nitrososphaerales\",\"Sulfolobales\",\"pGrfC26\",\"pMC2A209\",\"FRESHWATER (CREEK)\",\"SEDIMENT (ESTUARY)\",\"SKIN\",\"FECES\",\"FRESHWATER\",\"MOCK\",\"OCEAN\",\"SOIL\",\"TONGUE\"],\"group\":[\"Archaea\",\"Crenarchaeota\",\"Euryarchaeota\",\"C2\",\"Thaumarchaeota\",\"Thermoplasmata\",\"Halobacteria\",\"Methanobacteria\",\"Methanomicrobia\",\"SdNA\",\"Thermoprotei\",\"B10\",\"Cenarchaeales\",\"E2\",\"Halobacteriales\",\"Methanobacteriales\",\"Methanomicrobiales\",\"Methanosarcinales\",\"NRPJ\",\"Nitrososphaerales\",\"Sulfolobales\",\"pGrfC26\",\"pMC2A209\",\"FRESHWATER (CREEK)\",\"SEDIMENT (ESTUARY)\",\"SKIN\",\"FECES\",\"FRESHWATER\",\"MOCK\",\"OCEAN\",\"SOIL\",\"TONGUE\"]},\"options\":{\"NodeID\":\"name\",\"NodeGroup\":\"name\",\"LinkGroup\":null,\"colourScale\":\"d3.scaleOrdinal(d3.schemeCategory20);\",\"fontSize\":7,\"fontFamily\":null,\"nodeWidth\":15,\"nodePadding\":10,\"units\":\"OTUs\",\"margin\":{\"top\":null,\"right\":null,\"bottom\":null,\"left\":null},\"iterations\":32,\"sinksRight\":true}},\"evals\":[],\"jsHooks\":[]}sankey_pq(GP, taxa = 1:4, min_prop_tax = 0.01)  {\"x\":{\"links\":{\"source\":[0,0,1,2,2,2,1,1,2,1,1,3,4,5,6,7,8,8,9,4,3],\"target\":[1,2,3,6,7,8,9,4,5,10,11,12,13,14,15,16,17,18,19,20,21],\"value\":[106,102,27,7,27,24,8,57,44,3,8,7,37,44,7,27,12,12,5,20,18]},\"nodes\":{\"name\":[\"Archaea\",\"Crenarchaeota\",\"Euryarchaeota\",\"C2\",\"Thaumarchaeota\",\"Thermoplasmata\",\"Halobacteria\",\"Methanobacteria\",\"Methanomicrobia\",\"SdNA\",\"Thermoprotei\",\"pMC2A209\",\"B10\",\"Cenarchaeales\",\"E2\",\"Halobacteriales\",\"Methanobacteriales\",\"Methanomicrobiales\",\"Methanosarcinales\",\"NRPJ\",\"Nitrososphaerales\",\"pGrfC26\"],\"group\":[\"Archaea\",\"Crenarchaeota\",\"Euryarchaeota\",\"C2\",\"Thaumarchaeota\",\"Thermoplasmata\",\"Halobacteria\",\"Methanobacteria\",\"Methanomicrobia\",\"SdNA\",\"Thermoprotei\",\"pMC2A209\",\"B10\",\"Cenarchaeales\",\"E2\",\"Halobacteriales\",\"Methanobacteriales\",\"Methanomicrobiales\",\"Methanosarcinales\",\"NRPJ\",\"Nitrososphaerales\",\"pGrfC26\"]},\"options\":{\"NodeID\":\"name\",\"NodeGroup\":\"name\",\"LinkGroup\":null,\"colourScale\":\"d3.scaleOrdinal(d3.schemeCategory20);\",\"fontSize\":7,\"fontFamily\":null,\"nodeWidth\":15,\"nodePadding\":10,\"units\":\"OTUs\",\"margin\":{\"top\":null,\"right\":null,\"bottom\":null,\"left\":null},\"iterations\":32,\"sinksRight\":true}},\"evals\":[],\"jsHooks\":[]}sankey_pq(GP, taxa = 1:4, min_prop_tax = 0.01, add_nb_seq = TRUE)  {\"x\":{\"links\":{\"source\":[0,0,1,2,1,2,3,4,5,3,6],\"target\":[1,2,6,5,3,4,7,8,9,10,11],\"value\":[79945,115653,22138,10377,56403,104475,25607,104475,10377,30796,21834]},\"nodes\":{\"name\":[\"Archaea\",\"Crenarchaeota\",\"Euryarchaeota\",\"Thaumarchaeota\",\"Thermoplasmata\",\"Methanobacteria\",\"C2\",\"Cenarchaeales\",\"E2\",\"Methanobacteriales\",\"Nitrososphaerales\",\"pGrfC26\"],\"group\":[\"Archaea\",\"Crenarchaeota\",\"Euryarchaeota\",\"Thaumarchaeota\",\"Thermoplasmata\",\"Methanobacteria\",\"C2\",\"Cenarchaeales\",\"E2\",\"Methanobacteriales\",\"Nitrososphaerales\",\"pGrfC26\"]},\"options\":{\"NodeID\":\"name\",\"NodeGroup\":\"name\",\"LinkGroup\":null,\"colourScale\":\"d3.scaleOrdinal(d3.schemeCategory20);\",\"fontSize\":7,\"fontFamily\":null,\"nodeWidth\":15,\"nodePadding\":10,\"units\":\"Sequences\",\"margin\":{\"top\":null,\"right\":null,\"bottom\":null,\"left\":null},\"iterations\":32,\"sinksRight\":true}},\"evals\":[],\"jsHooks\":[]}"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/save_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"A wrapper of write_pq to save in all three possible formats — save_pq","title":"A wrapper of write_pq to save in all three possible formats — save_pq","text":"wrapper write_pq save three possible formats","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/save_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"A wrapper of write_pq to save in all three possible formats — save_pq","text":"","code":"save_pq(physeq, path = NULL, ...)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/save_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"A wrapper of write_pq to save in all three possible formats — save_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. path path folder save phyloseq object ... arguments passed write_pq() utils::write.table() function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/save_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"A wrapper of write_pq to save in all three possible formats — save_pq","text":"Build folder (path) four csv tables (refseq.csv, otu_table.csv, tax_table.csv, sam_data.csv) + one table tables together + rdata file (physeq.RData) can loaded using base::load() function + present phylogenetic tree Newick format (phy_tree.txt)","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/save_pq.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"A wrapper of write_pq to save in all three possible formats — save_pq","text":"Write : 4 separate tables 1 table version 1 RData file","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/save_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"A wrapper of write_pq to save in all three possible formats — save_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/save_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"A wrapper of write_pq to save in all three possible formats — save_pq","text":"","code":"if (FALSE) {  save_pq(data_fungi, path = \"phyloseq\") }"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/search_exact_seq_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Search for exact matching of sequences using complement,\nreverse and reverse-complement — search_exact_seq_pq","text":"","code":"search_exact_seq_pq(physeq, seq2search)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/search_exact_seq_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Search for exact matching of sequences using complement,\nreverse and reverse-complement — search_exact_seq_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. seq2search DNAStringSet object sequences search .","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/search_exact_seq_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Search for exact matching of sequences using complement,\nreverse and reverse-complement — search_exact_seq_pq","text":"list data-frames input sequences name, sequences number occurrences original sequence, complement sequence, reverse sequence reverse-complement sequence.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/search_exact_seq_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Search for exact matching of sequences using complement,\nreverse and reverse-complement — search_exact_seq_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/search_exact_seq_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Search for exact matching of sequences using complement,\nreverse and reverse-complement — search_exact_seq_pq","text":"","code":"data(\"data_fungi\") search_primers <- search_exact_seq_pq(data_fungi,   seq2search = Biostrings::DNAStringSet(c(\"TTGAACGCACATTGCGCC\", \"ATCCCTACCTGATCCGAG\")) )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/select_one_sample.html","id":null,"dir":"Reference","previous_headings":"","what":"Select one sample from a physeq object — select_one_sample","title":"Select one sample from a physeq object — select_one_sample","text":"Mostly internal used, example function track_wkflow_samples().","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/select_one_sample.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Select one sample from a physeq object — select_one_sample","text":"","code":"select_one_sample(physeq, sam_name, silent = FALSE)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/select_one_sample.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Select one sample from a physeq object — select_one_sample","text":"physeq (required): phyloseq-class object obtained using phyloseq package. sam_name (required) sample name select silent (logical) true, message printing.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/select_one_sample.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Select one sample from a physeq object — select_one_sample","text":"physeq object one sample","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/select_one_sample.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Select one sample from a physeq object — select_one_sample","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/select_one_sample.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Select one sample from a physeq object — select_one_sample","text":"","code":"A8_005 <- select_one_sample(data_fungi, \"A8-005_S4_MERGED.fastq.gz\") #> You select 1 of 185 samples and conserved 83 out of 1420 taxa represented by 13875 sequences (out of 1839124 sequences [1%]) A8_005 #> phyloseq-class experiment-level object #> otu_table()   OTU Table:         [ 83 taxa and 1 samples ] #> sample_data() Sample Data:       [ 1 samples by 7 sample variables ] #> tax_table()   Taxonomy Table:    [ 83 taxa by 12 taxonomic ranks ] #> refseq()      DNAStringSet:      [ 83 reference sequences ]"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/select_taxa-methods.html","id":null,"dir":"Reference","previous_headings":"","what":"Select a subset of taxa in a specified order where possible — select_taxa","title":"Select a subset of taxa in a specified order where possible — select_taxa","text":"Select (subset ) taxa; x allows taxa reordered, taxa given specified order.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/select_taxa-methods.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Select a subset of taxa in a specified order where possible — select_taxa","text":"","code":"select_taxa(x, taxa, reorder = TRUE)  # S4 method for sample_data,character select_taxa(x, taxa)  # S4 method for otu_table,character select_taxa(x, taxa, reorder = TRUE)  # S4 method for taxonomyTable,character select_taxa(x, taxa, reorder = TRUE)  # S4 method for XStringSet,character select_taxa(x, taxa, reorder = TRUE)  # S4 method for phylo,character select_taxa(x, taxa)  # S4 method for phyloseq,character select_taxa(x, taxa, reorder = TRUE)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/select_taxa-methods.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Select a subset of taxa in a specified order where possible — select_taxa","text":"x phyloseq object phyloseq component object taxa Character vector taxa select, requested order reorder Logical specifying whether use order taxa (TRUE) keep order taxa_names(x) (FALSE)","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/select_taxa-methods.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Select a subset of taxa in a specified order where possible — select_taxa","text":"simple selector function like prune_taxa(taxa, x) taxa character vector always gives taxa order taxa possible (, except phy_tree's phyloseq objects contain phy_tree's).","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/select_taxa-methods.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Select a subset of taxa in a specified order where possible — select_taxa","text":"Michael R. McLaren (orcid: 0000-0003-1575-473X)","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/simplify_taxo.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Simplify taxonomy by removing some unused characters such as ","text":"","code":"simplify_taxo(physeq, remove_space = TRUE)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/simplify_taxo.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Simplify taxonomy by removing some unused characters such as ","text":"physeq (required): phyloseq-class object obtained using phyloseq package. remove_space (logical; default TRUE): remove space?","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/simplify_taxo.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Simplify taxonomy by removing some unused characters such as ","text":" phyloseq-class object simplified taxonomy","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/simplify_taxo.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Simplify taxonomy by removing some unused characters such as ","text":"Adrien Taudière","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subsample_fastq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Subsample a fastq file copying the n_seq first sequences in a given folder — subsample_fastq","text":"","code":"subsample_fastq(fastq_files, folder_output = \"subsample\", nb_seq = 1000)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subsample_fastq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Subsample a fastq file copying the n_seq first sequences in a given folder — subsample_fastq","text":"fastq_files path one fastq file list fastq files (see examples) folder_output path folder output files nb_seq (int; default 1000) : Number sequences kept (every sequence spread across 4 lines)","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subsample_fastq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Subsample a fastq file copying the n_seq first sequences in a given folder — subsample_fastq","text":"Nothing, create subsampled fastq files folder","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subsample_fastq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Subsample a fastq file copying the n_seq first sequences in a given folder — subsample_fastq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subsample_fastq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Subsample a fastq file copying the n_seq first sequences in a given folder — subsample_fastq","text":"","code":"if (FALSE) { ex_file <- system.file(\"extdata\", \"ex_R1_001.fastq.gz\",   package = \"MiscMetabar\",   mustWork = TRUE ) subsample_fastq(ex_file, \"your_path_to_output\") subsample_fastq(list_fastq_files(\"extdata\"), \"your_path_to_output\", n = 10) }"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subset_samples_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Subset samples using a conditional boolean vector. — subset_samples_pq","title":"Subset samples using a conditional boolean vector. — subset_samples_pq","text":"main objective function complete phyloseq::subset_samples() function propose easy (prone error) way subset_samples. replace subsetting expression used name variable sam_data boolean vector. Warnings: must verify result function boolean condition must match order samples sam_data slot. function robust use sam_data slot phyloseq object used physeq (see examples)","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subset_samples_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Subset samples using a conditional boolean vector. — subset_samples_pq","text":"","code":"subset_samples_pq(physeq, condition)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subset_samples_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Subset samples using a conditional boolean vector. — subset_samples_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. condition boolean vector subset samples. Length must fit number samples","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subset_samples_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Subset samples using a conditional boolean vector. — subset_samples_pq","text":"new phyloseq object","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subset_samples_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Subset samples using a conditional boolean vector. — subset_samples_pq","text":"","code":"cond_samp <- grepl(\"A1\", data_fungi@sam_data[[\"Sample_names\"]]) subset_samples_pq(data_fungi, cond_samp) #> phyloseq-class experiment-level object #> otu_table()   OTU Table:         [ 1420 taxa and 9 samples ] #> sample_data() Sample Data:       [ 9 samples by 7 sample variables ] #> tax_table()   Taxonomy Table:    [ 1420 taxa by 12 taxonomic ranks ] #> refseq()      DNAStringSet:      [ 1420 reference sequences ]  subset_samples_pq(data_fungi, data_fungi@sam_data[[\"Height\"]] == \"Low\") #> phyloseq-class experiment-level object #> otu_table()   OTU Table:         [ 1420 taxa and 45 samples ] #> sample_data() Sample Data:       [ 45 samples by 7 sample variables ] #> tax_table()   Taxonomy Table:    [ 1420 taxa by 12 taxonomic ranks ] #> refseq()      DNAStringSet:      [ 1420 reference sequences ]"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subset_taxa_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Subset taxa using a conditional named boolean vector. — subset_taxa_pq","title":"Subset taxa using a conditional named boolean vector. — subset_taxa_pq","text":"main objective function complete phyloseq::subset_taxa() function propose easy way subset_taxa using named boolean vector. Names must match taxa_names.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subset_taxa_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Subset taxa using a conditional named boolean vector. — subset_taxa_pq","text":"","code":"subset_taxa_pq(   physeq,   condition,   verbose = TRUE,   clean_pq = TRUE,   taxa_names_from_physeq = FALSE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subset_taxa_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Subset taxa using a conditional named boolean vector. — subset_taxa_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. condition named boolean vector subset taxa. Length must fit number taxa names must match taxa_names. Can also condition using column tax_table slot (see examples). order condition taxa_names(physeq), can use parameter taxa_names_from_physeq = TRUE. verbose (logical) Informations printed clean_pq (logical) set TRUE, empty samples discarded subsetting ASV taxa_names_from_physeq (logical) set TRUE, rename condition vector using taxa_names(physeq). Carefully check result function use parameter. effect condition class tax_table.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subset_taxa_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Subset taxa using a conditional named boolean vector. — subset_taxa_pq","text":"new phyloseq object","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subset_taxa_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Subset taxa using a conditional named boolean vector. — subset_taxa_pq","text":"","code":"subset_taxa_pq(data_fungi, data_fungi@tax_table[, \"Phylum\"] == \"Ascomycota\") #> Cleaning suppress 0 taxa (  ) and 0 sample(s) (  ). #> Number of non-matching ASV 0 #> Number of matching ASV 1420 #> Number of filtered-out ASV 354 #> Number of kept ASV 1066 #> Number of kept samples 185 #> phyloseq-class experiment-level object #> otu_table()   OTU Table:         [ 1066 taxa and 185 samples ] #> sample_data() Sample Data:       [ 185 samples by 7 sample variables ] #> tax_table()   Taxonomy Table:    [ 1066 taxa by 12 taxonomic ranks ] #> refseq()      DNAStringSet:      [ 1066 reference sequences ]  cond_taxa <- grepl(\"Endophyte\", data_fungi@tax_table[, \"Guild\"]) names(cond_taxa) <- taxa_names(data_fungi) subset_taxa_pq(data_fungi, cond_taxa) #> Cleaning suppress 0 taxa (  ) and 9 sample(s) ( A10-005-B_S188_MERGED.fastq.gz / A10-005-M_S190_MERGED.fastq.gz / BE9-006-H_S28_MERGED.fastq.gz / C21-NV1-M_S64_MERGED.fastq.gz / CA12-024_S66_MERGED.fastq.gz / H10-018-M_S110_MERGED.fastq.gz / L23-002-H_S123_MERGED.fastq.gz / O24-003-H_S146_MERGED.fastq.gz / O26-004-M_S150_MERGED.fastq.gz ). #> Number of non-matching ASV 0 #> Number of matching ASV 1420 #> Number of filtered-out ASV 1292 #> Number of kept ASV 128 #> Number of kept samples 176 #> phyloseq-class experiment-level object #> otu_table()   OTU Table:         [ 128 taxa and 176 samples ] #> sample_data() Sample Data:       [ 176 samples by 7 sample variables ] #> tax_table()   Taxonomy Table:    [ 128 taxa by 12 taxonomic ranks ] #> refseq()      DNAStringSet:      [ 128 reference sequences ]  subset_taxa_pq(data_fungi, grepl(\"mycor\", data_fungi@tax_table[, \"Guild\"]),   taxa_names_from_physeq = TRUE ) #> Cleaning suppress 0 taxa (  ) and 47 sample(s) ( A10-005-H_S189_MERGED.fastq.gz / A10-005-M_S190_MERGED.fastq.gz / A15-004_S3_MERGED.fastq.gz / A8-005_S4_MERGED.fastq.gz / BA16-036bis_S20_MERGED.fastq.gz / BB6-019-M_S25_MERGED.fastq.gz / BE9-006-B_S27_MERGED.fastq.gz / BE9-006-H_S28_MERGED.fastq.gz / BP11-001-H_S44_MERGED.fastq.gz / BP11-001-M_S45_MERGED.fastq.gz / BQ3-019_S48_MERGED.fastq.gz / BQ4-018-H_S50_MERGED.fastq.gz / C21-NV1-B_S62_MERGED.fastq.gz / C21-NV1-M_S64_MERGED.fastq.gz / C9-005_S65_MERGED.fastq.gz / CA9-027_S67_MERGED.fastq.gz / CB8-019-B_S69_MERGED.fastq.gz / CB8-019-M_S71_MERGED.fastq.gz / CC8-003_S74_MERGED.fastq.gz / D17-011_S77_MERGED.fastq.gz / D18-003-B_S78_MERGED.fastq.gz / D18-003-M_S80_MERGED.fastq.gz / DS1-ABM002-H_S92_MERGED.fastq.gz / DZ6-ABM-001_S99_MERGED.fastq.gz / F6-ABM-001_S105_MERGED.fastq.gz / F7-015-M_S106_MERGED.fastq.gz / H10-018-M_S110_MERGED.fastq.gz / N22-001-B_S129_MERGED.fastq.gz / N23-002-M_S132_MERGED.fastq.gz / N25-ABMX_S133_MERGED.fastq.gz / NVABM-0058_S134_MERGED.fastq.gz / NVABM0244-M_S137_MERGED.fastq.gz / O21-007-H_S143_MERGED.fastq.gz / O21-007-M_S144_MERGED.fastq.gz / O24-003-B_S145_MERGED.fastq.gz / O24-003-H_S146_MERGED.fastq.gz / O24-003-M_S147_MERGED.fastq.gz / O26-004-M_S150_MERGED.fastq.gz / P27-ABM001_S155_MERGED.fastq.gz / W26-001-M_S167_MERGED.fastq.gz / X24-009-B_S170_MERGED.fastq.gz / X24-009-H_S171_MERGED.fastq.gz / X24-009-M_S172_MERGED.fastq.gz / X24-010_S173_MERGED.fastq.gz / Y28-002-H_S179_MERGED.fastq.gz / Y28-002-M_S180_MERGED.fastq.gz / Z30-002_S186_MERGED.fastq.gz ). #> Number of non-matching ASV 0 #> Number of matching ASV 1420 #> Number of filtered-out ASV 1376 #> Number of kept ASV 44 #> Number of kept samples 138 #> phyloseq-class experiment-level object #> otu_table()   OTU Table:         [ 44 taxa and 138 samples ] #> sample_data() Sample Data:       [ 138 samples by 7 sample variables ] #> tax_table()   Taxonomy Table:    [ 44 taxa by 12 taxonomic ranks ] #> refseq()      DNAStringSet:      [ 44 reference sequences ]"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subset_taxa_tax_control.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Subset taxa using a taxa control (e.g. truffle root tips) through 3 methods. — subset_taxa_tax_control","text":"","code":"subset_taxa_tax_control(   physeq,   taxa_distri,   method = \"mean\",   min_diff_for_cutoff = NULL )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subset_taxa_tax_control.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Subset taxa using a taxa control (e.g. truffle root tips) through 3 methods. — subset_taxa_tax_control","text":"physeq (required): phyloseq-class object obtained using phyloseq package. taxa_distri (required) vector length equal number samples number sequences per samples taxa control method (default: \"mean\") method calculate cut-value. 6 available methods: cutoff_seq: discard taxa less number sequence taxa control, cutoff_mixt: using mixture models, cutoff_diff: using minimum difference threshold (need argument min_diff_for_cutoff) min: minimum three firsts methods max: maximum three firsts methods mean: mean three firsts methods min_diff_for_cutoff (int) argument method cutoff_diff. Required method cutoff_diff, min, max mean","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subset_taxa_tax_control.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Subset taxa using a taxa control (e.g. truffle root tips) through 3 methods. — subset_taxa_tax_control","text":"new phyloseq-class object.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subset_taxa_tax_control.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Subset taxa using a taxa control (e.g. truffle root tips) through 3 methods. — subset_taxa_tax_control","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/subset_taxa_tax_control.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Subset taxa using a taxa control (e.g. truffle root tips) through 3 methods. — subset_taxa_tax_control","text":"","code":"subset_taxa_tax_control(data_fungi,   as.numeric(data_fungi@otu_table[, 300]),   min_diff_for_cutoff = 2 ) #> number of iterations= 4  #> number of iterations= 21  #> number of iterations= 7  #> number of iterations= 19  #> number of iterations= 14  #> number of iterations= 26  #> Error in stats::uniroot(f = f, lower = 1, upper = 1000) :  #>   f.upper = f(upper) is NA #> Warning: NAs introduced by coercion #> number of iterations= 8  #> number of iterations= 4  #> number of iterations= 5  #> number of iterations= 3  #> number of iterations= 7  #> number of iterations= 7  #> number of iterations= 6  #> number of iterations= 23  #> number of iterations= 6  #> number of iterations= 40  #> number of iterations= 12  #> number of iterations= 8  #> number of iterations= 5  #> number of iterations= 7  #> number of iterations= 13  #> number of iterations= 9  #> number of iterations= 6  #> number of iterations= 17  #> number of iterations= 3  #> number of iterations= 12  #> number of iterations= 8  #> number of iterations= 23  #> One of the variances is going to zero;  trying new starting values. #> number of iterations= 7  #> number of iterations= 11  #> number of iterations= 11  #> number of iterations= 14  #> number of iterations= 16  #> number of iterations= 8  #> number of iterations= 16  #> number of iterations= 7  #> number of iterations= 10  #> number of iterations= 8  #> number of iterations= 10  #> number of iterations= 4  #> number of iterations= 7  #> number of iterations= 22  #> number of iterations= 4  #> number of iterations= 6  #> number of iterations= 15  #> number of iterations= 9  #> number of iterations= 14  #> number of iterations= 7  #> number of iterations= 8  #> number of iterations= 5  #> number of iterations= 20  #> number of iterations= 23  #> number of iterations= 11  #> number of iterations= 12  #> number of iterations= 12  #> number of iterations= 7  #> number of iterations= 31  #> number of iterations= 27  #> number of iterations= 18  #> number of iterations= 6  #> number of iterations= 25  #> number of iterations= 19  #> number of iterations= 6  #> number of iterations= 4  #> number of iterations= 9  #> number of iterations= 12  #> number of iterations= 8  #> Error in stats::uniroot(f = f, lower = 1, upper = 1000) :  #>   f.upper = f(upper) is NA #> Warning: NAs introduced by coercion #> number of iterations= 15  #> number of iterations= 6  #> number of iterations= 11  #> number of iterations= 5  #> number of iterations= 13  #> number of iterations= 6  #> number of iterations= 5  #> number of iterations= 18  #> number of iterations= 14  #> number of iterations= 5  #> number of iterations= 10  #> Error in stats::uniroot(f = f, lower = 1, upper = 1000) :  #>   f.upper = f(upper) is NA #> Warning: NAs introduced by coercion #> number of iterations= 9  #> number of iterations= 10  #> number of iterations= 13  #> number of iterations= 4  #> number of iterations= 12  #> number of iterations= 15  #> number of iterations= 8  #> number of iterations= 10  #> number of iterations= 5  #> number of iterations= 6  #> Warning: no non-missing arguments to min; returning Inf #> number of iterations= 25  #> number of iterations= 8  #> number of iterations= 8  #> number of iterations= 13  #> number of iterations= 12  #> number of iterations= 26  #> number of iterations= 5  #> number of iterations= 12  #> One of the variances is going to zero;  trying new starting values. #> One of the variances is going to zero;  trying new starting values. #> One of the variances is going to zero;  trying new starting values. #> number of iterations= 6  #> number of iterations= 26  #> number of iterations= 10  #> number of iterations= 5  #> number of iterations= 9  #> number of iterations= 9  #> number of iterations= 6  #> number of iterations= 6  #> Error in stats::uniroot(f = f, lower = 1, upper = 1000) :  #>   f.upper = f(upper) is NA #> Warning: NAs introduced by coercion #> number of iterations= 10  #> number of iterations= 9  #> number of iterations= 13  #> number of iterations= 15  #> number of iterations= 7  #> number of iterations= 13  #> number of iterations= 17  #> number of iterations= 16  #> number of iterations= 15  #> number of iterations= 12  #> number of iterations= 6  #> number of iterations= 19  #> number of iterations= 5  #> Warning: no non-missing arguments to min; returning Inf #> Warning: no non-missing arguments to min; returning Inf #> number of iterations= 12  #> Warning: no non-missing arguments to min; returning Inf #> number of iterations= 11  #> number of iterations= 4  #> number of iterations= 6  #> number of iterations= 10  #> number of iterations= 17  #> number of iterations= 9  #> number of iterations= 13  #> number of iterations= 11  #> Warning: no non-missing arguments to min; returning Inf #> number of iterations= 7  #> number of iterations= 22  #> number of iterations= 6  #> One of the variances is going to zero;  trying new starting values. #> number of iterations= 8  #> number of iterations= 6  #> number of iterations= 17  #> number of iterations= 6  #> number of iterations= 7  #> number of iterations= 5  #> number of iterations= 7  #> number of iterations= 14  #> number of iterations= 5  #> number of iterations= 5  #> number of iterations= 6  #> One of the variances is going to zero;  trying new starting values. #> One of the variances is going to zero;  trying new starting values. #> number of iterations= 5  #> number of iterations= 19  #> number of iterations= 11  #> The filtering processes discard 64 taxa and 36525 sequences #> phyloseq-class experiment-level object #> otu_table()   OTU Table:         [ 1356 taxa and 185 samples ] #> sample_data() Sample Data:       [ 185 samples by 7 sample variables ] #> tax_table()   Taxonomy Table:    [ 1356 taxa by 12 taxonomic ranks ] #> refseq()      DNAStringSet:      [ 1356 reference sequences ]"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/summary_plot_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summarise a phyloseq-class object using a plot. — summary_plot_pq","text":"","code":"summary_plot_pq(   physeq,   add_info = TRUE,   min_seq_samples = 500,   clean_pq = TRUE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/summary_plot_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summarise a phyloseq-class object using a plot. — summary_plot_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. add_info bottom corner contain extra informations? min_seq_samples (int): Used add_info set true print number samples less sequences number. clean_pq (logical): phyloseq object cleaned using clean_pq() function?","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/summary_plot_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summarise a phyloseq-class object using a plot. — summary_plot_pq","text":"ggplot2 object","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/summary_plot_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarise a phyloseq-class object using a plot. — summary_plot_pq","text":"","code":"summary_plot_pq(data_fungi) #> Cleaning suppress 0 taxa and 0 samples.  summary_plot_pq(data_fungi, add_info = FALSE) + scale_fill_viridis_d() #> Cleaning suppress 0 taxa and 0 samples. #> Scale for fill is already present. #> Adding another scale for fill, which will replace the existing scale."},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/swarm_clustering.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Re-cluster sequences of an object of class physeq\nor cluster a list of DNA sequences using SWARM — swarm_clustering","text":"","code":"swarm_clustering(   physeq = NULL,   dna_seq = NULL,   d = 1,   swarmpath = \"swarm\",   vsearch_path = \"vsearch\",   nproc = 1,   swarm_args = \"--fastidious\",   tax_adjust = 0,   keep_temporary_files = FALSE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/swarm_clustering.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Re-cluster sequences of an object of class physeq\nor cluster a list of DNA sequences using SWARM — swarm_clustering","text":"physeq (required): phyloseq-class object obtained using phyloseq package. dna_seq WORKING MOMENT may directly use character vector DNA sequences place physeq args. physeq set, dna sequences take value physeq@refseq d (default: 1) maximum number differences allowed two amplicons, meaning two amplicons grouped d (less) differences swarmpath (default: swarm) path swarm vsearch_path (default: vsearch) path vsearch, used physeq NULL dna_seq provided. nproc (default: 1) Set number cpus/processors use clustering swarm_args (default : \"--fastidious\") one length character element defining parameters  passed swarm See possible methods SWARM pdf manual tax_adjust (Default 0) See man page merge_taxa_vec() details. conserved taxonomic rank abundant ASV, keep_temporary_files (logical, default: FALSE) keep temporary files ? temp.fasta (refseq fasta dna_seq sequences) temp_output (classical output SWARM) temp_uclust (clusters output SWARM)","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/swarm_clustering.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Re-cluster sequences of an object of class physeq\nor cluster a list of DNA sequences using SWARM — swarm_clustering","text":"new object class physeq list cluster dna_seq args used.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/swarm_clustering.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Re-cluster sequences of an object of class physeq\nor cluster a list of DNA sequences using SWARM — swarm_clustering","text":"function use merge_taxa_vec function merge taxa clusters. default tax_adjust = 0. See man page merge_taxa_vec(). function mainly wrapper work others. Please cite SWARM.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/swarm_clustering.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Re-cluster sequences of an object of class physeq\nor cluster a list of DNA sequences using SWARM — swarm_clustering","text":"SWARM can downloaded https://github.com/torognes/swarm/. SWARM can downloaded https://github.com/torognes/swarm. information associated publications doi:10.1093/bioinformatics/btab493  doi:10.7717/peerj.593","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/swarm_clustering.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Re-cluster sequences of an object of class physeq\nor cluster a list of DNA sequences using SWARM — swarm_clustering","text":"","code":"if (FALSE) { # MiscMetabar:::is_swarm_installed() summary_plot_pq(data_fungi) system2(\"swarm\", \"-h\")  data_fungi_swarm <- swarm_clustering(data_fungi) summary_plot_pq(data_fungi_swarm)  sequences_ex <- c(   \"TACCTATGTTGCCTTGGCGGCTAAACCTACCCGGGATTTGATGGGGCGAATTAATAACGAATTCATTGAATCA\",   \"TACCTATGTTGCCTTGGCGGCTAAACCTACCCGGGATTTGATGGGGCGAATTACCTGGTAAGGCCCACTT\",   \"TACCTATGTTGCCTTGGCGGCTAAACCTACCCGGGATTTGATGGGGCGAATTACCTGGTAGAGGTG\",   \"TACCTATGTTGCCTTGGCGGCTAAACCTACC\",   \"CGGGATTTGATGGCGAATTACCTGGTATTTTAGCCCACTTACCCGGTACCATGAGGTG\",   \"GCGGCTAAACCTACCCGGGATTTGATGGCGAATTACCTGG\",   \"GCGGCTAAACCTACCCGGGATTTGATGGCGAATTACAAAG\",   \"GCGGCTAAACCTACCCGGGATTTGATGGCGAATTACAAAG\",   \"GCGGCTAAACCTACCCGGGATTTGATGGCGAATTACAAAG\" )  sequences_ex_swarm <- swarm_clustering(   dna_seq = sequences_ex ) }"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tax_bar_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot the distribution of sequences or ASV in one taxonomic levels — tax_bar_pq","text":"","code":"tax_bar_pq(   physeq,   fact = \"Sample\",   taxa = \"Order\",   percent_bar = FALSE,   nb_seq = TRUE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tax_bar_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot the distribution of sequences or ASV in one taxonomic levels — tax_bar_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. fact Name factor cluster samples modalities. Need physeq@sam_data. taxa (default: 'Order') Name taxonomic rank interest percent_bar (default FALSE) TRUE, stacked bar fill space 0 1. just set position = \"fill\" ggplot2::geom_bar() function nb_seq (logical; default TRUE) set FALSE, number ASV count. Concretely, physeq otu_table transformed binary otu_table (value different zero set one)","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tax_bar_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot the distribution of sequences or ASV in one taxonomic levels — tax_bar_pq","text":"ggplot2 plot  bar representing number sequence en taxonomic groups","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tax_bar_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot the distribution of sequences or ASV in one taxonomic levels — tax_bar_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tax_bar_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot the distribution of sequences or ASV in one taxonomic levels — tax_bar_pq","text":"","code":"data_fungi_ab <- subset_taxa_pq(data_fungi, taxa_sums(data_fungi) > 10000) #> Cleaning suppress 0 taxa (  ) and 15 sample(s) ( BE9-006-B_S27_MERGED.fastq.gz / C21-NV1-M_S64_MERGED.fastq.gz / DJ2-008-B_S87_MERGED.fastq.gz / DY5-004-H_S97_MERGED.fastq.gz / DY5-004-M_S98_MERGED.fastq.gz / E9-009-B_S100_MERGED.fastq.gz / E9-009-H_S101_MERGED.fastq.gz / N22-001-B_S129_MERGED.fastq.gz / O20-X-B_S139_MERGED.fastq.gz / O21-007-M_S144_MERGED.fastq.gz / R28-008-H_S159_MERGED.fastq.gz / R28-008-M_S160_MERGED.fastq.gz / W26-001-M_S167_MERGED.fastq.gz / Y29-007-H_S182_MERGED.fastq.gz / Y29-007-M_S183_MERGED.fastq.gz ). #> Number of non-matching ASV 0 #> Number of matching ASV 1420 #> Number of filtered-out ASV 1385 #> Number of kept ASV 35 #> Number of kept samples 170 tax_bar_pq(data_fungi_ab) + theme(legend.position = \"none\")  tax_bar_pq(data_fungi_ab, taxa = \"Class\")  tax_bar_pq(data_fungi_ab, taxa = \"Class\", percent_bar = TRUE)  tax_bar_pq(data_fungi_ab, taxa = \"Class\", fact = \"Time\") #> Warning: Removed 770 rows containing missing values (`position_stack()`)."},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tax_datatable.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Make a datatable with the taxonomy of a phyloseq-class object — tax_datatable","text":"","code":"tax_datatable(   physeq,   abundance = TRUE,   taxonomic_level = NULL,   modality = NULL,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tax_datatable.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Make a datatable with the taxonomy of a phyloseq-class object — tax_datatable","text":"physeq (required): phyloseq-class object obtained using phyloseq package. abundance (default: TRUE) number sequences print taxonomic_level (default: NULL) vector selected taxonomic level using column numbers (e.g. taxonomic_level = 1:7) modality (default: NULL) sample modality split OTU abundancy level modality ... argument datatable function","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tax_datatable.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Make a datatable with the taxonomy of a phyloseq-class object — tax_datatable","text":"datatable","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tax_datatable.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Make a datatable with the taxonomy of a phyloseq-class object — tax_datatable","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tax_datatable.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Make a datatable with the taxonomy of a phyloseq-class object — tax_datatable","text":"","code":"data(\"GlobalPatterns\", package = \"phyloseq\") tax_datatable(subset_taxa(   GlobalPatterns,   rowSums(GlobalPatterns@otu_table) > 10000 )) #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’ #> Found more than one class \"phylo\" in cache; using the first, from namespace 'phyloseq' #> Also defined by ‘RNeXML’ ‘tidytree’  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va\",\"Thioclava\",\"Thioclava\",\"Thioclava\",\"Thioclava\",\"Thioclava\",\"Thioclava\",\"Thioclava\",null,null,null,null,\"Rhodobaca\",\"Rhodobaca\",\"Rhodobaca\",\"Rhodobaca\",\"Rhodobaca\",\"Rhodobaca\",\"Rhodobaca\",null,\"Rhodovulum\",\"Rhodovulum\",\"Rhodovulum\",\"Rhodovulum\",null,null,\"Amaricoccus\",\"Amaricoccus\",\"Amaricoccus\",\"Amaricoccus\",\"Amaricoccus\",\"Amaricoccus\",\"Amaricoccus\",\"Amaricoccus\",\"Amaricoccus\",\"Amaricoccus\",\"Amaricoccus\",\"Amaricoccus\",\"Amaricoccus\",\"Amaricoccus\",\"Amaricoccus\",\"Amaricoccus\",\"Amaricoccus\",\"Amaricoccus\",\"Amaricoccus\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Afifella\",\"Afifella\",\"Hirschia\",null,null,null,null,null,\"Hyphomonas\",\"Hyphomonas\",\"Hyphomonas\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Maricaulis\",\"Maricaulis\",null,\"Oceanicaulis\",\"Oceanicaulis\",null,null,null,null,null,null,null,null,null,null,null,null,null,\"Asticcacaulis\",\"Asticcacaulis\",null,null,null,null,null,\"Brevundimonas\",\"Brevundimonas\",\"Brevundimonas\",\"Brevundimonas\",\"Brevundimonas\",\"Brevundimonas\",\"Brevundimonas\",\"Mycoplana\",null,\"Brevundimonas\",null,null,null,null,null,null,null,null,null,null,\"Phenylobacterium\",\"Phenylobacterium\",\"Phenylobacterium\",\"Phenylobacterium\",\"Phenylobacterium\",\"Phenylobacterium\",\"Phenylobacterium\",\"Phenylobacterium\",\"Phenylobacterium\",\"Phenylobacterium\",\"Phenylobacterium\",\"Phenylobacterium\",\"Phenylobacterium\",null,null,null,null,null,null,\"Caulobacter\",\"Caulobacter\",\"Caulobacter\",\"Caulobacter\",\"Caulobacter\",\"Caulobacter\",\"Caulobacter\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Phaeospirillum\",null,null,null,null,null,null,\"Inquilinus\",\"Inquilinus\",\"Inquilinus\",\"Inquilinus\",\"Inquilinus\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Rhodovibrio\",\"Rhodovibrio\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Azospirillum\",\"Azospirillum\",null,null,null,null,\"Rhodospirillum\",\"Azospirillum\",\"Azospirillum\",\"Azospirillum\",\"Azospirillum\",\"Azospirillum\",\"Azospirillum\",\"Azospirillum\",\"Azospirillum\",\"Azospirillum\",\"Azospirillum\",null,null,\"Skermanella\",\"Skermanella\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Rhodothalassium\",null,null,null,null,null,null,null,null,null,null,null,\"Roseococcus\",\"Roseococcus\",\"Roseococcus\",null,null,null,null,null,\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Roseomonas\",\"Acidisoma\",\"Acidisoma\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Gluconobacter\",\"Acetobacter\",null,\"Asaia\",null,\"Acidomonas\",\"Acidomonas\",null,\"Gluconacetobacter\",null,null,null,null,null,null,null,null,null,null,null,null,null,\"Acidocella\",\"Acidocella\",\"Acidocella\",\"Acidocella\",\"Acidocella\",\"Acidiphilium\",\"Acidiphilium\",\"Acidiphilium\",\"Acidiphilium\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Novispirillum\",\"Novispirillum\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Telmatospirillum\",\"Telmatospirillum\",\"Telmatospirillum\",\"Telmatospirillum\",null,null,\"Magnetospi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Thermosinus\",\"Thermosinus\",\"Thermosinus\",\"Thermosinus\",\"Thermosinus\",\"Thermosinus\",null,null,null,null,\"Anaeroglobus\",\"Anaeroglobus\",\"Dialister\",\"Dialister\",\"Dialister\",\"Dialister\",\"Dialister\",\"Dialister\",\"Dialister\",\"Dialister\",\"Dialister\",\"Dialister\",\"Dialister\",\"Dialister\",\"Dialister\",\"Veillonella\",\"Veillonella\",\"Veillonella\",\"Veillonella\",\"Veillonella\",\"Veillonella\",\"Veillonella\",\"Veillonella\",\"Veillonella\",\"Veillonella\",\"Veillonella\",null,\"Thermincola\",\"Thermincola\",null,null,null,null,null,\"Desulfitobacterium\",\"Desulfitobacterium\",\"Desulfitobacterium\",\"Desulfitobacterium\",\"Desulfitobacterium\",\"Desulfitobacterium\",\"Desulfitobacterium\",\"Desulfosporosinus\",\"Desulfosporosinus\",\"Desulfosporosinus\",\"Desulfosporosinus\",\"Desulfosporosinus\",\"Desulfosporosinus\",\"Desulfosporosinus\",\"Desulfosporosinus\",\"Desulfosporosinus\",null,\"Dehalobacterium\",\"Dehalobacterium\",\"Dehalobacterium\",\"Dehalobacterium\",\"Dehalobacterium\",\"Dehalobacterium\",\"Dehalobacterium\",\"Dehalobacterium\",\"Dehalobacterium\",\"Dehalobacterium\",null,null,null,\"Peptococcus\",\"Peptococcus\",\"Desulfotomaculum\",\"Pelotomaculum\",\"Pelotomaculum\",\"Pelotomaculum\",\"Pelotomaculum\",\"Pelotomaculum\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Fervidobacterium\",\"Thermanaerovibrio\",null,\"Cloacibacillus\",\"TG5\",\"TG5\",\"Jonquetella\",\"Pyramidobacter\",\"Coprothermobacter\",null,null,null,null,null],[null,null,\"Sulfolobusacidocaldarius\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Cenarchaeumsymbiosum\",\"Cenarchaeumsymbiosum\",null,null,null,null,null,\"pIVWA5\",\"pIVWA5\",\"pIVWA5\",null,null,null,null,\"CandidatusNitrososphaeragargensis\",\"CandidatusNitrososphaeragargensis\",\"CandidatusNitrososphaeragargensis\",\"CandidatusNitrososphaeragargensis\",\"CandidatusNitrososphaeragargensis\",\"CandidatusNitrososphaeragargensis\",\"SCA1145\",\"SCA1145\",\"SCA1145\",\"SCA1145\",null,\"SCA1170\",\"SCA1170\",\"SCA1170\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Haloterrigenathermotolerans\",\"Haloterrigenathermotolerans\",\"Halomicrobiummukohataei\",null,null,null,\"Methanosaetathermophila\",null,null,null,null,null,\"Methanosarcinaacetivorans\",\"Methanosarcinamazei\",\"Methanosarcinamazei\",null,null,\"Methanosphaerulapalustris\",\"Methanosphaerulapalustris\",null,null,null,null,null,null,null,null,null,\"Methanocorpusculumlabreanum\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Methanobacteriumbryantii\",null,null,\"Methanobacteriumbeijingense\",null,null,null,null,\"Methanosphaerastadtmanae\",null,null,null,null,\"Methanobrevibacterarboriphilus\",null,\"Methanobrevibactersmithii\",null,null,null,null,null,null,null,\"Propionibacteriumacnes\",\"Propionibacteriumgranulosum\",\"Propionibacteriumacidipropionici\",null,\"Aestuariimicrobiumkwangyangense\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Nocardioideslentus\",null,null,null,null,null,null,null,null,\"Nocardioidesalkalitolerans\",null,\"Nocardioidesalbus\",\"Nocardioidesalbus\",null,null,null,\"Nocardioidesoleivorans\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Kribbellaaluminosa\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null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null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Pseudanabaenasp.PCC6903\",\"Pseudanabaenasp.PCC6903\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Sulfuricurvumkujiense\",null,null,null,null,null,null,null,null,null,null,\"Sulfurimonasdenitrificans\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Campylobacterfetus\",\"Campylobacterlanienae\",null,null,null,null,\"Campylobacterhelveticus\",null,\"Campylobactercurvus\",\"Campylobactergracilis\",\"Campylobacterhominis\",\"Bacteroidesureolyticus\",\"Campylobactermucosalis\",\"Campylobacterconcisus\",null,null,null,null,null,null,null,null,null,null,null,\"Arcobactercryaerophilus\",null,\"Arcobacterbutzleri\",null,\"Arcobacternitrofigilis\",null,null,null,null,null,null,null,null,null,null,null,\"Mariprofundusferrooxydans\",null,null,null,null,null,null,null,\"Hydrogenophilushalorhabdus\",null,\"Hydrogenophilusthermoluteolus\",\"CandidatusTremblayaprinceps\",\"CandidatusTremblayaprinceps\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"CandidatusBurkholderiakirkii\",null,null,null,null,null,\"Burkholderiagraminis\",null,null,null,null,null,null,null,null,null,null,null,\"Burkholderiatropica\",null,null,null,null,null,null,null,\"Burkholderiasordidicola\",null,null,null,null,null,null,\"Burkholderiamultivorans\",\"Burkholderiaandropogonis\",\"Burkholderiaandropogonis\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Sutterellaparvirubra\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Pelistegaeuropaea\",null,null,null,null,null,null,\"Alcaligenesfaecalis\",\"Alcaligenesfaecalis\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Microvirgulaaerodenitrificans\",\"Laribacterhongkongensis\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Eikenellacorrodens\",null,\"Bergerielladenitrificans\",null,\"Neisserialactamica\",null,null,null,null,null,null,null,\"Conchiformibiussteedae\",\"Conchiformibiuskuhniae\",\"Conchiformibiuskuhniae\",\"Kingellakingae\",null,null,null,null,null,null,\"Simonsiellamuelleri\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Methyloteneramobilis\",null,null,null,null,null,null,null,null,null,null,null,null,\"Methylobacillusflagellatus\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Nitrosococcusmobilis\",null,null,\"Nitrosospiramultiformis\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Methyloversatilisuniversalis\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Thauerasp.MZ1T\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Azonexusfungiphilus\",null,null,null,null,null,null,null,null,null,null,\"Dechloromonasaromatica\",null,null,null,null,null,null,null,null,\"Rhodocyclustenuis\",\"Rhodocyclustenuis\",\"Rhodocyclustenuis\",\"Rhodocyclustenuis\",\"Rhodocyclustenuis\",\"Rhodocyclustenuis\",\"Rhodocyclustenuis\",\"Rhodocyclustenuis\",\"Rhodocyclustenuis\",\"Rhodocyclustenuis\",\"Rhodocyclustenuis\",\"Rhodocyclustenuis\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,n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ll,null,\"Vibriosp.AND4\",null,null,null,null,null,\"Vibriometschnikovii\",null,null,\"Vibriovulnificus\",\"Vibriovulnificus\",null,\"Vibrioproteolyticus\",null,\"Vibrioagarivorans\",\"Vibriogallicus\",\"Vibrioichthyoenteri\",null,null,null,null,\"Vibrioorientalis\",\"Vibrioorientalis\",\"Vibrioorientalis\",\"Vibrioorientalis\",\"Vibrioorientalis\",\"Vibrioorientalis\",\"Vibrioorientalis\",null,null,null,null,null,null,null,\"Vibriocholerae\",null,null,null,null,null,null,null,null,null,null,\"Vibriorumoiensis\",null,null,null,null,null,null,null,null,null,\"Photobacteriumrosenbergii\",\"Photobacteriumdamselae\",null,null,\"Salinivibriocosticola\",\"Salinivibriocosticola\",null,null,null,null,\"Grimontiahollisae\",\"Moritellaviscosa\",\"Shewanellabenthica\",\"Shewanellasediminis\",\"Shewanellahanedai\",null,null,null,null,null,\"Shewanellaloihica\",null,null,null,\"Shewanelladenitrificans\",\"Shewanellafrigidimarina\",null,null,null,\"Shewanellaoneidensis\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Zobellellataiwanensis\",null,null,null,null,null,null,null,null,\"BisgaardTaxon14\",null,null,null,\"Actinobacillusporcinus\",\"Actinobacillusporcinus\",\"Actinobacillusrossii\",\"Mannheimiasucciniciproducens\",null,\"Pasteurellamultocida\",null,null,null,null,null,null,\"Actinobacilluscapsulatus\",\"Bibersteiniatrehalosi\",\"Bibersteiniatrehalosi\",null,null,null,null,\"Haemophilusducreyi\",null,\"Haemophilusparahaemolyticus\",null,\"Actinobacilluspleuropneumoniae\",null,null,\"Actinobacillusindolicus\",null,null,null,\"Volucribacterpsittacicida\",\"Gallibacteriumanatis\",\"Gallibacteriummelopsittaci\",null,\"Gallibacteriumgenomosp.3\",null,null,null,null,null,\"Haemophilusparainfluenzae\",\"Haemophilusparainfluenzae\",\"Haemophilusparainfluenzae\",\"Haemophilusparainfluenzae\",\"BisgaardTaxon10\",\"Actinobacillussuccinogenes\",\"Pasteurellaaerogenes\",\"Aggregatibacteractinomycetemcomitans\",\"Aggregatibactersegnis\",\"Pasteurellapneumotropica\",null,null,null,null,\"Haemophilusinfluenzae\",\"Haemophilusinfluenzae\",\"Histophilussomni\",null,null,null,null,null,\"Edwardsiellaictaluri\",null,null,\"CandidatusHamiltonelladefensa\",\"CandidatusRegiellainsecticola\",null,\"Brenneriaquercina\",null,\"Sodalisglossinidius\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"CandidatusBlochmanniafloridanus\",null,null,\"CandidatusBaumanniacicadellinicola\",\"CandidatusBaumanniacicadellinicola\",null,null,\"Plesiomonasshigelloides\",null,null,null,\"Brenneriarubrifaciens\",null,null,null,null,null,null,null,null,null,\"Serratiamarcescens\",\"Serratiamarcescens\",null,null,\"Raoultellaornithinolytica\",null,null,null,null,null,\"CandidatusSerratiasymbiotica\",null,null,null,null,null,null,null,\"symbiontofNoeetapupillata\",null,null,null,null,null,null,\"Enterobacterpulveris\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Enterobactercowanii\",\"Citrobacterfarmeri\",\"Citrobacterrodentium\",null,null,null,null,null,\"Buttiauxellaagrestis\",null,null,\"Enterobacterhormaechei\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Klebsiellaoxytoca\",null,null,null,null,null,null,\"Pantoeaoleae\",null,null,null,null,null,null,null,null,null,null,\"Pantoeaananatis\",\"Pantoeaananatis\",\"Pantoeaananatis\",\"Pantoeaananatis\",\"Pantoeaananatis\",null,null,null,null,null,null,\"Erwiniatoletana\",null,null,null,null,\"Proteusmirabilis\",\"Xenorhabdusnematophila\",\"Xenorhabduskozodoii\",\"Photorhabdustemperata\",\"Photorhabdustemperata\",null,null,\"Xenorhabdusbudapestensis\",null,\"Xenorhabduscabanillasii\",\"Xenorhabdusstockiae\",null,null,null,null,\"ArsenophonusendosymbiontofDermacentorvariabilis\",null,\"CandidatusPhlomobacterfragariae\",null,null,\"Anaerobiospirillumsucciniciproducens\",null,\"Tolumonasauensis\",null,null,null,null,null,null,\"Psychrobactercryohalolentis\",null,\"Psychrobacterpacificensis\",null,null,null,null,null,null,\"Psychrobactersp.PRwf-1\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Alkanindigeshongkongensis\",null,null,null,null,null,null,null,null,null,null,null,null,\"Acinetobacterursingii\",\"Acinetobactersp.ADP1\",\"Acinetobacterrhizosphaerae\",\"Acinetobacterrhizosphaerae\",null,null,null,null,null,\"Acinetobacterlwoffii\",\"Acinetobacterlwoffii\",\"Acinetobacterlwoffii\",null,null,null,null,\"Acinetobacterradioresistens\",null,null,null,null,\"Acinetobacterjohnsonii\",\"Acinetobacterjohnsonii\",\"Acinetobacterjohnsonii\",\"Acinetobacterjohnsonii\",\"Acinetobacterjohnsonii\",\"Acinetobacterjohnsonii\",\"Acinetobacterjohnsonii\",\"Acinetobacterjohnsonii\",\"Acinetobacterjohnsonii\",\"Acinetobacterjohnsonii\",\"Acinetobacterjohnsonii\",\"Acinetobacterjohnsonii\",\"Acinetobacterjohnsonii\",\"Acinetobacterjohnsonii\",\"Acinetobacterjohnsonii\",null,null,null,null,nul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null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Thiothrixeikelboomii\",\"Thiothrixflexilis\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"gammaproteobacteriumendosymbiontofSiboglinumfiordicum\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Legionellapneumophila\",\"Legionellapneumophila\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Legionellabrunensis\",null,null,\"Tatlockiamaceachernii\",null,null,null,null,null,null,null,\"Legionellayabuuchiae\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Coxiellaburnetii\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Thioplocaingrica\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Thiobacillusprosperus\",null,null,null,null,null,null,null,null,\"Thioalkalivibriosp.HL-EbGR7\",null,null,null,\"Ectothiorhodospirasp.BogoriaRed\",null,null,null,\"Nitrosococcusoceani\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Thiohalomonasdenitrificans\",\"Thiohalomonasdenitrificans\",null,\"Thiohalospirahalophila\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Thiorhodovibriowinogradskyi\",\"Thiorhodovibriowinogradskyi\",\"Thiorhodovibriowinogradskyi\",null,null,null,null,null,null,null,null,null,\"Allochromatiumvinosum\",\"Allochromatiumvinosum\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Achromatiumoxaliferum\",\"Achromatiumoxaliferum\",\"Achromatiumoxaliferum\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Solimonassoli\",null,null,null,null,null,\"Nevskiaramosa\",\"Nevskiaramosa\",null,\"Hydrocarboniphagaeffusa\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Lysobactertaiwanensis\",null,null,\"Thermomonasfusca\",\"Thermomonasfusca\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Xanthomonasaxonopodis\",null,\"Pseudoxanthomonastaiwanensis\",\"Pseudoxanthomonasmexicana\",\"Pseudoxanthomonasmexicana\",null,null,null,null,null,null,null,null,null,\"Pseudomonasgeniculata\",null,null,\"Stenotrophomonaskoreensis\",\"Stenotrophomonaskoreensis\",null,null,null,null,null,null,\"Luteimonasmephitis\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Rhodanobacterlindaniclasticus\",\"Rhodanobacterlindaniclasticus\",null,null,null,null,null,null,null,null,\"Dyellajaponica\",\"Dyellajaponica\",null,\"Luteibacterrhizovicinus\",null,null,null,null,\"Frateuriaaurantia\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"CandidatusPelagibacterubique\",\"CandidatusPelagibacterubique\",\"CandidatusPelagibacterubique\",\"CandidatusPelagibacterubique\",\"CandidatusPelagibacterubique\",null,null,null,null,null,null,\"RickettsiaendosymbiontofDeronectesplatynotus\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Pseudaminobactersalicylatoxidans\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Ochrobactrumintermedium\",null,null,null,null,null,null,null,\"Rhizobiumsullae\",\"Rhizobiumsullae\",null,null,null,null,null,\"Mycoplanapeli\",null,null,null,null,null,null,null,\"Rhizobiumsp.IRBG74\",\"Rhizobiumsp.IRBG74\",\"Agrobacteriumlarrymoorei\",null,null,null,null,null,null,\"Agrobacteriumvitis\",null,null,\"Martelellamediterranea\",null,null,null,null,null,\"Aurantimonasmanganoxydans\",null,\"Fulvimarinapelagi\",\"Aurantimonasaltamirensis\",null,null,null,null,null,null,null,null,null,null,null,\"Chelativoransmultitrophicus\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Rhodobiumorientis\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Pleomorphomonasoryzae\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Xanthobacterautotrophicus\",null,\"Azorhizobiumcaulinodans\",null,null,null,null,null,null,null,null,\"Labrysmethylaminiphilus\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Bradyrhizobiumcanariense\",\"Bradyrhizobiumcanariense\",null,null,null,null,null,null,null,null,null,\"Afipiafelis\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Rhodoplaneselegans\",\"Rhodoplaneselegans\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Methylobacteriumkomagatae\",\"Methylobacteriumkomagatae\",null,null,\"Methylobacteriumorganophilum\",\"Methylobacteriumorganophilum\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Methylocellapalustris\",null,null,\"Beijerinckiaindica\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Methylosinussporium\",\"Methylosinussporium\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Hyphomicrobiumsulfonivorans\",null,null,null,null,null,null,null,null,null,\"Pedomicrobiumaustralicum\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Hyphomicrobiumzavarzinii\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,\"Labrenziaaggregata\",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null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Others arguments pass gtsummary::tbl_summary().","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tbl_sum_samdata.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summarize information from sample data in a table — tbl_sum_samdata","text":"physeq object larger slot tax_table","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tbl_sum_samdata.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Summarize information from sample data in a table — tbl_sum_samdata","text":"function mainly wrapper work others. Please make reference gtsummary::tbl_summary() use function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tbl_sum_samdata.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Summarize information from sample data in a table — tbl_sum_samdata","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tbl_sum_samdata.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarize information from sample data in a table — tbl_sum_samdata","text":"","code":"data(data_fungi) tbl_sum_samdata(data_fungi) %>%   gtsummary::as_kable() #>  #>  #> |**Characteristic** | **N = 185** | #> |:------------------|:-----------:| #> |Tree_name          |             | #> |A10-005            |  3 (1.6%)   | #> |A12-007            |  2 (1.1%)   | #> |A15-004            |  1 (0.5%)   | #> |A8-005             |  1 (0.5%)   | #> |A9-012             |  1 (0.5%)   | #> |AB29-abm-X         |  1 (0.5%)   | #> |AC27-013           |  1 (0.5%)   | #> |AC29-033           |  1 (0.5%)   | #> |AD26-005           |  3 (1.6%)   | #> |AD30-abm-X         |  4 (2.2%)   | #> |AD32-007           |  1 (0.5%)   | #> |AE30-abm507        |  1 (0.5%)   | #> |B18-006            |  1 (0.5%)   | #> |BA16-036           |  1 (0.5%)   | #> |BA17-050           |  1 (0.5%)   | #> |BB19-006           |  1 (0.5%)   | #> |BB6-019            |  3 (1.6%)   | #> |BD14-021           |  1 (0.5%)   | #> |BE9-006            |  3 (1.6%)   | #> |BG7-010            |  3 (1.6%)   | #> |BH9-021            |  1 (0.5%)   | #> |BI7-014            |  1 (0.5%)   | #> |BJ17-007           |  1 (0.5%)   | #> |BJ8abm003          |  1 (0.5%)   | #> |BL7-006            |  3 (1.6%)   | #> |BN11-041           |  1 (0.5%)   | #> |BN9-002            |  1 (0.5%)   | #> |BO8-002            |  1 (0.5%)   | #> |BO8-005            |  1 (0.5%)   | #> |BP11-001           |  3 (1.6%)   | #> |BP12-025           |  1 (0.5%)   | #> |BP14-006           |  1 (0.5%)   | #> |BQ3-019            |  1 (0.5%)   | #> |BQ4-018            |  3 (1.6%)   | #> |BQ9abm002          |  1 (0.5%)   | #> |BR8-005            |  1 (0.5%)   | #> |BS14-006           |  1 (0.5%)   | #> |BT7-006            |  2 (1.1%)   | #> |BU11-002           |  3 (1.6%)   | #> |BW8-003            |  1 (0.5%)   | #> |C1-001             |  1 (0.5%)   | #> |C21-nv-1           |  3 (1.6%)   | #> |C9-005             |  2 (1.1%)   | #> |CA12-024           |  1 (0.5%)   | #> |CA9-027            |  1 (0.5%)   | #> |CA9-X              |  1 (0.5%)   | #> |CB8-019            |  3 (1.6%)   | #> |CB9-013            |  1 (0.5%)   | #> |CC3-044            |  1 (0.5%)   | #> |CC8-003            |  1 (0.5%)   | #> |D17-011            |  1 (0.5%)   | #> |D18-003            |  3 (1.6%)   | #> |D22-nvabm-1        |  1 (0.5%)   | #> |D9-027             |  3 (1.6%)   | #> |DB1abm001          |  1 (0.5%)   | #> |DG1-010            |  1 (0.5%)   | #> |DJ2-008            |  3 (1.6%)   | #> |DP4abm001          |  1 (0.5%)   | #> |DS1abm002          |  3 (1.6%)   | #> |DU3-045            |  1 (0.5%)   | #> |DW4-007            |  1 (0.5%)   | #> |DY5-004            |  3 (1.6%)   | #> |DZ6abm001          |  1 (0.5%)   | #> |E9-009             |  3 (1.6%)   | #> |EAabm001           |  1 (0.5%)   | #> |EC2-013            |  1 (0.5%)   | #> |F6abm001           |  1 (0.5%)   | #> |F7-015             |  1 (0.5%)   | #> |FOMES19            |  2 (1.1%)   | #> |H10-018            |  1 (0.5%)   | #> |H24-nvabm-1        |  1 (0.5%)   | #> |J18-004            |  3 (1.6%)   | #> |K18-002            |  1 (0.5%)   | #> |K26-nvamb-1        |  1 (0.5%)   | #> |L19-X              |  3 (1.6%)   | #> |L23-002            |  3 (1.6%)   | #> |M22-001            |  2 (1.1%)   | #> |N19-X              |  3 (1.6%)   | #> |N23-002            |  3 (1.6%)   | #> |N25-abm-X          |  1 (0.5%)   | #> |O20-X              |  3 (1.6%)   | #> |O21-007            |  3 (1.6%)   | #> |O24-003            |  3 (1.6%)   | #> |O26-004            |  3 (1.6%)   | #> |O27-012            |  1 (0.5%)   | #> |P19-023            |  1 (0.5%)   | #> |P27-015            |  1 (0.5%)   | #> |P27-abm001         |  1 (0.5%)   | #> |Q27-abm003         |  1 (0.5%)   | #> |R25-abm-X          |  1 (0.5%)   | #> |R28-008            |  3 (1.6%)   | #> |T28-011            |  1 (0.5%)   | #> |T28-abm602         |  1 (0.5%)   | #> |U27-abm002         |  1 (0.5%)   | #> |W25-abm-X          |  1 (0.5%)   | #> |W26-001            |  3 (1.6%)   | #> |W29-025            |  1 (0.5%)   | #> |W30-006            |  1 (0.5%)   | #> |X24-009            |  3 (1.6%)   | #> |X24-010            |  1 (0.5%)   | #> |X29-004            |  3 (1.6%)   | #> |Y28-002            |  3 (1.6%)   | #> |Y29-007            |  3 (1.6%)   | #> |Y31-abm484         |  2 (1.1%)   | #> |Z29-001            |  1 (0.5%)   | #> |Z30-002            |  1 (0.5%)   | #> |Z30-abm560         |  1 (0.5%)   | #> |nvabm0058          |  1 (0.5%)   | #> |nvabm0163          |  1 (0.5%)   | #> |nvabm0216          |  1 (0.5%)   | #> |nvabm0244          |  1 (0.5%)   | #> |nvabm0397          |  1 (0.5%)   | #> |Height             |             | #> |High               |  41 (31%)   | #> |Low                |  45 (34%)   | #> |Middle             |  45 (34%)   | #> |Unknown            |     54      | #> |Diameter           |             | #> |-                  |  6 (3.3%)   | #> |10                 |  2 (1.1%)   | #> |11                 |  2 (1.1%)   | #> |115,5              |  3 (1.7%)   | #> |18,3               |  1 (0.6%)   | #> |18,4               |  1 (0.6%)   | #> |18,9               |  3 (1.7%)   | #> |20                 |  3 (1.7%)   | #> |21,5               |  4 (2.2%)   | #> |23                 |  1 (0.6%)   | #> |23,1               |  3 (1.7%)   | #> |23,4               |  1 (0.6%)   | #> |25                 |  8 (4.4%)   | #> |25,3               |  1 (0.6%)   | #> |26,5               |  1 (0.6%)   | #> |27,6               |  3 (1.7%)   | #> |28,4               |  2 (1.1%)   | #> |29,5               |  3 (1.7%)   | #> |30                 |  13 (7.2%)  | #> |30,4               |  3 (1.7%)   | #> |30,7               |  1 (0.6%)   | #> |32                 |  5 (2.8%)   | #> |32,3               |  1 (0.6%)   | #> |32,4               |  1 (0.6%)   | #> |32,5               |  2 (1.1%)   | #> |32,8               |  1 (0.6%)   | #> |33                 |  3 (1.7%)   | #> |33,3               |  4 (2.2%)   | #> |33,5               |  4 (2.2%)   | #> |33,8               |  3 (1.7%)   | #> |34                 |  6 (3.3%)   | #> |35                 |  3 (1.7%)   | #> |35,2               |  1 (0.6%)   | #> |35,6               |  3 (1.7%)   | #> |35,7               |  1 (0.6%)   | #> |36,3               |  1 (0.6%)   | #> |36,5               |  1 (0.6%)   | #> |36,8               |  1 (0.6%)   | #> |37,2               |  3 (1.7%)   | #> |37,5               |  1 (0.6%)   | #> |37,8               |  1 (0.6%)   | #> |38                 |  1 (0.6%)   | #> |38,2               |  1 (0.6%)   | #> |38,3               |  1 (0.6%)   | #> |38,8               |  3 (1.7%)   | #> |39                 |  2 (1.1%)   | #> |40                 |  5 (2.8%)   | #> |40,3               |  1 (0.6%)   | #> |40,5               |  3 (1.7%)   | #> |41                 |  2 (1.1%)   | #> |43                 |  1 (0.6%)   | #> |43,4               |  1 (0.6%)   | #> |44,3               |  1 (0.6%)   | #> |45,5               |  3 (1.7%)   | #> |47,5               |  3 (1.7%)   | #> |50                 |  2 (1.1%)   | #> |52                 |  5 (2.8%)   | #> |52,7               |  3 (1.7%)   | #> |55,4               |  1 (0.6%)   | #> |59,6               |  1 (0.6%)   | #> |59,8               |  1 (0.6%)   | #> |60                 |  1 (0.6%)   | #> |60,4               |  3 (1.7%)   | #> |63,6               |  3 (1.7%)   | #> |64                 |  1 (0.6%)   | #> |64,5               |  1 (0.6%)   | #> |66,8               |  1 (0.6%)   | #> |68,6               |  3 (1.7%)   | #> |69,5               |  1 (0.6%)   | #> |71,5               |  1 (0.6%)   | #> |71,7               |  3 (1.7%)   | #> |75                 |  3 (1.7%)   | #> |76,4               |  3 (1.7%)   | #> |80                 |  1 (0.6%)   | #> |88,5               |  1 (0.6%)   | #> |96                 |  1 (0.6%)   | #> |99                 |  1 (0.6%)   | #> |Unknown            |      5      | #> |Time               |             | #> |0                  |  67 (41%)   | #> |5                  |  38 (23%)   | #> |10                 |  21 (13%)   | #> |15                 |  36 (22%)   | #> |Unknown            |     23      |  summary_samdata <- tbl_sum_samdata(data_fungi,   include = c(\"Time\", \"Height\"),   type = list(Time ~ \"continuous2\", Height ~ \"categorical\"),   statistic = list(Time ~ c(\"{median} ({p25}, {p75})\", \"{min}, {max}\")) )  data(enterotype)  summary_samdata <- tbl_sum_samdata(enterotype) summary_samdata <- tbl_sum_samdata(enterotype, include = !contains(\"SampleId\"))"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/track_wkflow.html","id":null,"dir":"Reference","previous_headings":"","what":"Track the number of reads (= sequences), samples and cluster (e.g. ASV)\nfrom various objects including dada-class and derep-class. — track_wkflow","title":"Track the number of reads (= sequences), samples and cluster (e.g. ASV)\nfrom various objects including dada-class and derep-class. — track_wkflow","text":"List fastq fastg.gz files -> nb reads samples List dada-class -> nb reads, clusters (ASV) samples List derep-class -> nb reads, clusters (unique sequences) samples Matrix samples x clusters (e.g. otu_table) -> nb reads, clusters samples Phyloseq-class -> nb reads, clusters samples","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/track_wkflow.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Track the number of reads (= sequences), samples and cluster (e.g. ASV)\nfrom various objects including dada-class and derep-class. — track_wkflow","text":"","code":"track_wkflow(   list_of_objects,   obj_names = NULL,   clean_pq = FALSE,   taxonomy_rank = NULL,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/track_wkflow.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Track the number of reads (= sequences), samples and cluster (e.g. ASV)\nfrom various objects including dada-class and derep-class. — track_wkflow","text":"list_of_objects (required) list objects obj_names list names corresponding list objects clean_pq (logical) set TRUE, empty samples empty ASV discarded clustering. taxonomy_rank vector int. Define column number taxonomic rank physeq@tax_table compute number unique value. Default NULL compute values taxonomic rank ... arguments passed clean_pq() function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/track_wkflow.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Track the number of reads (= sequences), samples and cluster (e.g. ASV)\nfrom various objects including dada-class and derep-class. — track_wkflow","text":"number sequences, clusters (e.g. OTUs, ASVs) samples object.","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/track_wkflow.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Track the number of reads (= sequences), samples and cluster (e.g. ASV)\nfrom various objects including dada-class and derep-class. — track_wkflow","text":"","code":"data(enterotype) track_wkflow(list(data_fungi, enterotype), taxonomy_rank = c(3, 5)) #> Compute the number of sequences #> Start object of class: phyloseq #> Start object of class: phyloseq #> Compute the number of clusters #> Start object of class: phyloseq #> Start object of class: phyloseq #> Compute the number of samples #> Start object of class: phyloseq #> Start object of class: phyloseq #> Compute the number of values in taxonomic rank #> Start object of class: phyloseq #> Start object of class: phyloseq #> Start object of class: phyloseq #> Start object of class: phyloseq #>   nb_sequences nb_clusters nb_samples Class Family #> 1 1839124.0000        1420        185    25    163 #> 2     279.9807         553        280     1      1"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/track_wkflow_samples.html","id":null,"dir":"Reference","previous_headings":"","what":"Track the number of reads (= sequences), samples and cluster (e.g. ASV)\nfor each samples. — track_wkflow_samples","title":"Track the number of reads (= sequences), samples and cluster (e.g. ASV)\nfor each samples. — track_wkflow_samples","text":"Contrary track_wkflow(), phyloseq object possible. information available manual function track_wkflow()","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/track_wkflow_samples.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Track the number of reads (= sequences), samples and cluster (e.g. ASV)\nfor each samples. — track_wkflow_samples","text":"","code":"track_wkflow_samples(list_pq_obj, ...)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/track_wkflow_samples.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Track the number of reads (= sequences), samples and cluster (e.g. ASV)\nfor each samples. — track_wkflow_samples","text":"list_pq_obj (required): list object passed track_wkflow() phyloseq object return value information sample needed ... : args passed track_wkflow()","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/track_wkflow_samples.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Track the number of reads (= sequences), samples and cluster (e.g. ASV)\nfor each samples. — track_wkflow_samples","text":"list dataframe. cf track_wkflow() information","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/track_wkflow_samples.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Track the number of reads (= sequences), samples and cluster (e.g. ASV)\nfor each samples. — track_wkflow_samples","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/track_wkflow_samples.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Track the number of reads (= sequences), samples and cluster (e.g. ASV)\nfor each samples. — track_wkflow_samples","text":"","code":"tree_A10_005 <- subset_samples(data_fungi, Tree_name == \"A10-005\") track_wkflow_samples(tree_A10_005) #> You select 1 of 3 samples and conserved 67 out of 1420 taxa represented by 13314 sequences (out of 56868 sequences [23%]) #> Compute the number of sequences #> Start object of class: phyloseq #> Compute the number of clusters #> Start object of class: phyloseq #> Compute the number of samples #> Start object of class: phyloseq #> You select 1 of 3 samples and conserved 70 out of 1420 taxa represented by 39593 sequences (out of 56868 sequences [70%]) #> Compute the number of sequences #> Start object of class: phyloseq #> Compute the number of clusters #> Start object of class: phyloseq #> Compute the number of samples #> Start object of class: phyloseq #> You select 1 of 3 samples and conserved 54 out of 1420 taxa represented by 3961 sequences (out of 56868 sequences [7%]) #> Compute the number of sequences #> Start object of class: phyloseq #> Compute the number of clusters #> Start object of class: phyloseq #> Compute the number of samples #> Start object of class: phyloseq #> $`A10-005-B_S188_MERGED.fastq.gz` #>   nb_sequences nb_clusters nb_samples #> 1        13314          67          1 #>  #> $`A10-005-H_S189_MERGED.fastq.gz` #>   nb_sequences nb_clusters nb_samples #> 1        39593          70          1 #>  #> $`A10-005-M_S190_MERGED.fastq.gz` #>   nb_sequences nb_clusters nb_samples #> 1         3961          54          1 #>"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/treemap_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot treemap of 2 taxonomic levels — treemap_pq","title":"Plot treemap of 2 taxonomic levels — treemap_pq","text":"Note lvl2need nested lvl1","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/treemap_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot treemap of 2 taxonomic levels — treemap_pq","text":"","code":"treemap_pq(   physeq,   lvl1,   lvl2,   nb_seq = TRUE,   log10trans = TRUE,   plot_legend = FALSE,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/treemap_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot treemap of 2 taxonomic levels — treemap_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. lvl1 (required) Name first (higher) taxonomic rank interest lvl2 (required) Name second (lower) taxonomic rank interest nb_seq (logical; default TRUE) set FALSE, number ASV count. Concretely, physeq otu_table transformed binary otu_table (value different zero set one) log10trans (logical, default TRUE) TRUE, number sequences (ASV nb_seq = FALSE) log10 transformed. plot_legend (logical, default FALSE) TRUE, plot che legend color lvl 1 ... arguments passed treemapify::geom_treemap() function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/treemap_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot treemap of 2 taxonomic levels — treemap_pq","text":"ggplot2 graphic","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/treemap_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot treemap of 2 taxonomic levels — treemap_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/treemap_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot treemap of 2 taxonomic levels — treemap_pq","text":"","code":"data(data_fungi_sp_known) treemap_pq(   clean_pq(subset_taxa(     data_fungi_sp_known,     Phylum == \"Basidiomycota\"   )),   \"Order\", \"Class\",   plot_legend = TRUE ) #> Cleaning suppress 0 taxa and 5 samples.  treemap_pq(   clean_pq(subset_taxa(     data_fungi_sp_known,     Phylum == \"Basidiomycota\"   )),   \"Order\", \"Class\",   log10trans = FALSE ) #> Cleaning suppress 0 taxa and 5 samples.  treemap_pq(   clean_pq(subset_taxa(     data_fungi_sp_known,     Phylum == \"Basidiomycota\"   )),   \"Order\", \"Class\",   nb_seq = FALSE, log10trans = FALSE ) #> Cleaning suppress 0 taxa and 5 samples."},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tsne_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute tSNE position of samples from a phyloseq object — tsne_pq","title":"Compute tSNE position of samples from a phyloseq object — tsne_pq","text":"Compute tSNE position samples phyloseq object","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tsne_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute tSNE position of samples from a phyloseq object — tsne_pq","text":"","code":"tsne_pq(physeq, method = \"bray\", dims = 2, theta = 0, perplexity = 30, ...)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tsne_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute tSNE position of samples from a phyloseq object — tsne_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. method method calculate distance using vegan::vegdist() function dims (Int) Output dimensionality (default: 2) theta (Numeric) Speed/accuracy trade-(increase less accuracy), set 0.0 exact TSNE (default: 0.0 see details man page Rtsne::Rtsne). perplexity (Numeric) Perplexity parameter (bigger 3 * perplexity < nrow(X) - 1, see details man page Rtsne::Rtsne) ... : arguments passed Rtsne::Rtsne()","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tsne_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute tSNE position of samples from a phyloseq object — tsne_pq","text":"list element including matrix Y containing new representations objects. See ?Rtsne::Rtsne() information","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/tsne_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compute tSNE position of samples from a phyloseq object — tsne_pq","text":"","code":"res_tsne <- tsne_pq(data_fungi) #> Taxa are now in rows."},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/unique_or_na.html","id":null,"dir":"Reference","previous_headings":"","what":"Get the unique value in x or NA if none — unique_or_na","title":"Get the unique value in x or NA if none — unique_or_na","text":"unique(x) single value, return ; otherwise, return NA type x. x factor, levels ordered status kept either case. x non-atomic vector (.e. list), logical NA used.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/unique_or_na.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get the unique value in x or NA if none — unique_or_na","text":"","code":"unique_or_na(x)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/unique_or_na.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get the unique value in x or NA if none — unique_or_na","text":"x vector","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/unique_or_na.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Get the unique value in x or NA if none — unique_or_na","text":"Michael R. McLaren (orcid: 0000-0003-1575-473X)","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/unique_or_na.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get the unique value in x or NA if none — unique_or_na","text":"","code":"f <- factor(c(\"a\", \"a\", \"b\", \"c\"), ordered = TRUE) unique_or_na(f) #> [1] <NA> #> Levels: a < b < c unique_or_na(f[1:2]) #> [1] a #> Levels: a < b < c  x <- c(\"a\", \"b\", \"a\") unique_or_na(x[c(1, 3)]) #> [1] \"a\" unique_or_na(x) #> [1] NA unique_or_na(x) %>% typeof() #> [1] \"character\""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/upset_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Make upset plot for phyloseq object. — upset_pq","title":"Make upset plot for phyloseq object. — upset_pq","text":"Alternative venn plot.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/upset_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Make upset plot for phyloseq object. — upset_pq","text":"","code":"upset_pq(   physeq,   fact,   taxa_fill = NULL,   min_nb_seq = 0,   na_remove = TRUE,   numeric_fonction = sum,   rarefy_after_merging = FALSE,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/upset_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Make upset plot for phyloseq object. — upset_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. fact (required): Name factor cluster samples modalities. Need physeq@sam_data. taxa_fill (default NULL) fill ASV upset using column tax_table slot. min_nb_seq minimum number sequences OTUs samples take count OTUs sample. example, min_nb_seq=2,value 2 less OTU table count venn diagram na_remove : TRUE (default), NA values fact removed FALSE, NA values set \"NA\" numeric_fonction (default : sum) function numeric vector useful complex plot (see examples) rarefy_after_merging Rarefy sample merging modalities fact parameter ... arguments passed ComplexUpset::upset()","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/upset_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Make upset plot for phyloseq object. — upset_pq","text":"ggplot2 plot","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/upset_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Make upset plot for phyloseq object. — upset_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/upset_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Make upset plot for phyloseq object. — upset_pq","text":"","code":"upset_pq(data_fungi_mini,   fact = \"Height\", width_ratio = 0.2,   taxa_fill = \"Class\" ) #> Cleaning suppress 0 taxa (  ) and 0 sample(s) (  ). #> Number of non-matching ASV 0 #> Number of matching ASV 45 #> Number of filtered-out ASV 0 #> Number of kept ASV 45 #> Number of kept samples 137  upset_pq(data_fungi_mini, fact = \"Height\", min_nb_seq = 1000) #> Cleaning suppress 0 taxa (  ) and 0 sample(s) (  ). #> Number of non-matching ASV 0 #> Number of matching ASV 45 #> Number of filtered-out ASV 0 #> Number of kept ASV 45 #> Number of kept samples 137  upset_pq(data_fungi_mini, fact = \"Height\", na_remove = FALSE) #> Cleaning suppress 0 taxa (  ) and 0 sample(s) (  ). #> Number of non-matching ASV 0 #> Number of matching ASV 45 #> Number of filtered-out ASV 0 #> Number of kept ASV 45 #> Number of kept samples 137   upset_pq(data_fungi_mini, fact = \"Time\", width_ratio = 0.2, rarefy_after_merging = TRUE) #> Cleaning suppress 0 taxa (  ) and 0 sample(s) (  ). #> Number of non-matching ASV 0 #> Number of matching ASV 45 #> Number of filtered-out ASV 0 #> Number of kept ASV 45 #> Number of kept samples 137 #> You set `rngseed` to FALSE. Make sure you've set & recorded #>  the random seed of your session for reproducibility. #> See `?set.seed` #> ... #> At least one sample name start with a zero. #>     That can be a problem for some phyloseq functions such as #>     plot_bar and psmelt. #> Cleaning suppress 0 taxa and 0 samples.   upset_pq(   data_fungi_mini,   fact = \"Time\",   width_ratio = 0.2,   annotations = list(     \"Sequences per ASV \\n (log10)\" = (       ggplot(mapping = aes(y = log10(Abundance)))       +         geom_jitter(aes(           color =             Abundance         ), na.rm = TRUE)         +         geom_violin(alpha = 0.5, na.rm = TRUE) +         theme(legend.key.size = unit(0.2, \"cm\")) +         theme(axis.text = element_text(size = 12))     ),     \"ASV per phylum\" = (       ggplot(mapping = aes(fill = Phylum))       +         geom_bar() +         ylab(\"ASV per phylum\") +         theme(legend.key.size = unit(0.2, \"cm\")) +         theme(axis.text = element_text(size = 12))     )   ) ) #> Cleaning suppress 0 taxa (  ) and 0 sample(s) (  ). #> Number of non-matching ASV 0 #> Number of matching ASV 45 #> Number of filtered-out ASV 0 #> Number of kept ASV 45 #> Number of kept samples 137 #> Warning: Groups with fewer than two data points have been dropped. #> Warning: Groups with fewer than two data points have been dropped. #> Warning: Groups with fewer than two data points have been dropped.    upset_pq(   data_fungi_mini,   fact = \"Time\",   width_ratio = 0.2,   numeric_fonction = mean,   annotations = list(     \"Sequences per ASV \\n (log10)\" = (       ggplot(mapping = aes(y = log10(Abundance)))       +         geom_jitter(aes(           color =             Abundance         ), na.rm = TRUE)         +         geom_violin(alpha = 0.5, na.rm = TRUE) +         theme(legend.key.size = unit(0.2, \"cm\")) +         theme(axis.text = element_text(size = 12))     ),     \"ASV per phylum\" = (       ggplot(mapping = aes(fill = Phylum))       +         geom_bar() +         ylab(\"ASV per phylum\") +         theme(legend.key.size = unit(0.2, \"cm\")) +         theme(axis.text = element_text(size = 12))     )   ) ) #> Cleaning suppress 0 taxa (  ) and 0 sample(s) (  ). #> Number of non-matching ASV 0 #> Number of matching ASV 45 #> Number of filtered-out ASV 0 #> Number of kept ASV 45 #> Number of kept samples 137 #> Warning: Groups with fewer than two data points have been dropped. #> Warning: Groups with fewer than two data points have been dropped. #> Warning: Groups with fewer than two data points have been dropped.    upset_pq(   subset_taxa(data_fungi_mini, Phylum == \"Basidiomycota\"),   fact = \"Time\",   width_ratio = 0.2,   base_annotations = list(),   annotations = list(     \"Sequences per ASV \\n (log10)\" = (       ggplot(mapping = aes(y = log10(Abundance)))       +         geom_jitter(aes(           color =             Abundance         ), na.rm = TRUE)         +         geom_violin(alpha = 0.5, na.rm = TRUE) +         theme(legend.key.size = unit(0.2, \"cm\")) +         theme(axis.text = element_text(size = 12))     ),     \"ASV per phylum\" = (       ggplot(mapping = aes(fill = Class))       +         geom_bar() +         ylab(\"ASV per Class\") +         theme(legend.key.size = unit(0.2, \"cm\")) +         theme(axis.text = element_text(size = 12))     )   ) ) #> Cleaning suppress 0 taxa (  ) and 0 sample(s) (  ). #> Number of non-matching ASV 0 #> Number of matching ASV 45 #> Number of filtered-out ASV 0 #> Number of kept ASV 45 #> Number of kept samples 137 #> Warning: Groups with fewer than two data points have been dropped. #> Warning: Groups with fewer than two data points have been dropped. #> Warning: Groups with fewer than two data points have been dropped.   data_fungi2 <- data_fungi_mini data_fungi2@sam_data[[\"Time_0\"]] <- data_fungi2@sam_data$Time == 0 data_fungi2@sam_data[[\"Height__Time_0\"]] <-   paste0(data_fungi2@sam_data[[\"Height\"]], \"__\", data_fungi2@sam_data[[\"Time_0\"]]) data_fungi2@sam_data[[\"Height__Time_0\"]][grepl(\"NA\", data_fungi2@sam_data[[\"Height__Time_0\"]])] <-   NA upset_pq(data_fungi2, fact = \"Height__Time_0\", width_ratio = 0.2, min_size = 2) #> Cleaning suppress 0 taxa (  ) and 0 sample(s) (  ). #> Number of non-matching ASV 0 #> Number of matching ASV 45 #> Number of filtered-out ASV 0 #> Number of kept ASV 45 #> Number of kept samples 137"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/upset_test_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Test for differences between intersections — upset_test_pq","text":"","code":"upset_test_pq(   physeq,   fact,   var_to_test = \"OTU\",   min_nb_seq = 0,   na_remove = TRUE,   numeric_fonction = sum,   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/upset_test_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Test for differences between intersections — upset_test_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. fact (required): Name factor cluster samples modalities. Need physeq@sam_data. var_to_test (default c(\"OTU\")) : vector column present tax_table slot physeq object min_nb_seq minimum number sequences OTUs samples take count OTUs sample. example, min_nb_seq=2,value 2 less OTU table count venn diagram na_remove : TRUE (default), NA values fact removed FALSE, NA values set \"NA\" numeric_fonction (default : sum) function numeric vector useful complex plot (see examples) ... arguments passed ComplexUpset::upset_test()","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/upset_test_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Test for differences between intersections — upset_test_pq","text":"ggplot2 plot","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/upset_test_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Test for differences between intersections — upset_test_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/upset_test_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Test for differences between intersections — upset_test_pq","text":"","code":"data(data_fungi) upset_test_pq(data_fungi, \"Height\", var_to_test = c(\"OTU\", \"Class\", \"Guild\")) #> Cleaning suppress 0 taxa (  ) and 0 sample(s) (  ). #> Number of non-matching ASV 0 #> Number of matching ASV 1420 #> Number of filtered-out ASV 0 #> Number of kept ASV 1420 #> Number of kept samples 185 #> [1] \"OTU, Class, Guild differ significantly between intersections\" #>       variable     p.value statistic                         test        fdr #> Class    Class 0.006403765  17.93225 Kruskal-Wallis rank sum test 0.01392444 #> Guild    Guild 0.009282963  17.00008 Kruskal-Wallis rank sum test 0.01392444 #> OTU        OTU 0.046654862  12.78063 Kruskal-Wallis rank sum test 0.04665486 upset_test_pq(data_fungi, \"Time\") #> Cleaning suppress 0 taxa (  ) and 0 sample(s) (  ). #> Number of non-matching ASV 0 #> Number of matching ASV 1420 #> Number of filtered-out ASV 0 #> Number of kept ASV 1420 #> Number of kept samples 185 #> [1] \"OTU differ significantly between intersections\" #>     variable     p.value statistic                         test         fdr #> OTU      OTU 0.002217898   33.7837 Kruskal-Wallis rank sum test 0.002217898"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/venn_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Venn diagram of phyloseq-class object — venn_pq","text":"","code":"venn_pq(physeq, fact, min_nb_seq = 0, print_values = TRUE)"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/venn_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Venn diagram of phyloseq-class object — venn_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. fact (required): Name factor cluster samples modalities. Need physeq@sam_data. min_nb_seq (default: 0)): minimum number sequences OTUs samples take count OTUs sample. example, min_nb_seq=2,value 2 less OTU table change 0 analysis print_values (logical) Print () table number OTUs combination. print_values TRUE object ggplot object. Please use print_values = FALSE want add ggplot function (cf example).","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/venn_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Venn diagram of phyloseq-class object — venn_pq","text":"ggplot2 plot representing Venn diagram modalities argument factor","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/venn_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Venn diagram of phyloseq-class object — venn_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/venn_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Venn diagram of phyloseq-class object — venn_pq","text":"","code":"data(\"enterotype\") venn_pq(enterotype, fact = \"SeqTech\")  venn_pq(enterotype, fact = \"ClinicalStatus\")  venn_pq(enterotype, fact = \"Nationality\", print_values = FALSE)  venn_pq(enterotype, fact = \"ClinicalStatus\", print_values = FALSE) +   scale_fill_hue()  venn_pq(enterotype, fact = \"ClinicalStatus\", print_values = FALSE) +   scale_fill_hue()"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/verify_pq.html","id":null,"dir":"Reference","previous_headings":"","what":"Verify the validity of a phyloseq object — verify_pq","title":"Verify the validity of a phyloseq object — verify_pq","text":"Mostly internal use MiscMetabar functions.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/verify_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Verify the validity of a phyloseq object — verify_pq","text":"","code":"verify_pq(   physeq,   verbose = FALSE,   min_nb_seq_sample = 500,   min_nb_seq_taxa = 1 )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/verify_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Verify the validity of a phyloseq object — verify_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. verbose (logical, default FALSE) true, prompt warnings. min_nb_seq_sample (numeric) used verbose = TRUE. Minimum number sequences per samples show warning. min_nb_seq_taxa (numeric) used verbose = TRUE. Minimum number sequences per taxa show warning.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/verify_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Verify the validity of a phyloseq object — verify_pq","text":"Nothing phyloseq object valid. error case. Warnings verbose = TRUE","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/vs_search_global.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Search for a list of sequence in a fasta file against physeq reference\nsequences using vsearch — vs_search_global","text":"","code":"vs_search_global(   physeq,   seq2search = NULL,   path_to_fasta = NULL,   vsearchpath = \"vsearch\",   id = 0.8,   iddef = 0,   keep_temporary_files = FALSE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/vs_search_global.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Search for a list of sequence in a fasta file against physeq reference\nsequences using vsearch — vs_search_global","text":"physeq (required): phyloseq-class object obtained using phyloseq package. seq2search (required path_to_fasta NULL) Either () DNAstringSet object (ii) character vector convert DNAstringSet using Biostrings::DNAStringSet() path_to_fasta (required seq2search NULL) path fasta file seq2search est NULL. vsearchpath (default: vsearch) path vsearch id (default: 0.8) id option --usearch_global vsearch software iddef (default: 0) iddef option --usearch_global vsearch software keep_temporary_files (logical, default: FALSE) keep temporary files temp.fasta (refseq fasta) cluster.fasta (centroid) temp.uc (clusters)","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/vs_search_global.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Search for a list of sequence in a fasta file against physeq reference\nsequences using vsearch — vs_search_global","text":"dataframe uc results (invisible)","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/vs_search_global.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Search for a list of sequence in a fasta file against physeq reference\nsequences using vsearch — vs_search_global","text":"function mainly wrapper work others. Please cite vsearch.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/vs_search_global.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Search for a list of sequence in a fasta file against physeq reference\nsequences using vsearch — vs_search_global","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/vs_search_global.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Search for a list of sequence in a fasta file against physeq reference\nsequences using vsearch — vs_search_global","text":"","code":"if (FALSE) { file_dna <- tempfile(\"dna.fa\") seqinr::write.fasta(\"GCCCATTAGTATTCTAGTGGGCATGCCTGTTCGAGCGTCATTTTCA   ACCCTCAAGCCCCTTATTGCTTGGTGTTGGGAGTTTAGCTGGCTTTATAGCGGTTAACTCCCTAAATATACTGGCG\",   file = file_dna, names = \"seq1\" )  res <- vs_search_global(data_fungi, file_dna) unlink(file_dna)  res[res$identity != \"*\", ]  clean_pq(subset_taxa(data_fungi, res$identity != \"*\")) }"},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/vsearch_clustering.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Recluster sequences of an object of class physeq\nor cluster a list of DNA sequences using vsearch software — vsearch_clustering","text":"","code":"vsearch_clustering(   physeq = NULL,   dna_seq = NULL,   nproc = 1,   id = 0.97,   vsearchpath = \"vsearch\",   tax_adjust = 0,   vsearch_cluster_method = \"--cluster_size\",   vsearch_args = \"--strand both\",   keep_temporary_files = FALSE )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/vsearch_clustering.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Recluster sequences of an object of class physeq\nor cluster a list of DNA sequences using vsearch software — vsearch_clustering","text":"physeq (required): phyloseq-class object obtained using phyloseq package. dna_seq may directly use character vector DNA sequences place physeq args. physeq set, dna sequences take value physeq@refseq nproc (default: 1) Set number cpus/processors use clustering id (default: 0.97) level identity cluster vsearchpath (default: vsearch) path vsearch tax_adjust (Default 0) See man page merge_taxa_vec() details. conserved taxonomic rank abundant ASV, set tax_adjust 0 (default). moment tax_adjust = 0 robust vsearch_cluster_method (default: \"--cluster_size) See possible methods vsearch manual (e.g. --cluster_size --cluster_smallmem) --cluster_fast : Clusterize fasta sequences filename, automatically sort decreasing sequence length beforehand. --cluster_size : Clusterize fasta sequences filename, automatically sort decreasing sequence abundance beforehand. --cluster_smallmem : Clusterize fasta sequences filename without automatically modifying order beforehand. Sequence expected sorted decreasing sequence length, unless --usersort used. case may set vsearch_args vsearch_args = \"--strand --usersort\" vsearch_args (default : \"--strand \") one length character element defining parameters passed vsearch. keep_temporary_files (logical, default: FALSE) keep temporary files ? temp.fasta (refseq fasta dna_seq sequences) cluster.fasta (centroid method = \"vsearch\") temp.uc (clusters method = \"vsearch\")","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/vsearch_clustering.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Recluster sequences of an object of class physeq\nor cluster a list of DNA sequences using vsearch software — vsearch_clustering","text":"new object class physeq list cluster dna_seq args used.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/vsearch_clustering.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Recluster sequences of an object of class physeq\nor cluster a list of DNA sequences using vsearch software — vsearch_clustering","text":"function use merge_taxa_vec() function merge taxa clusters. default tax_adjust = 0. See man page merge_taxa_vec(). function mainly wrapper work others. Please cite vsearch.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/vsearch_clustering.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Recluster sequences of an object of class physeq\nor cluster a list of DNA sequences using vsearch software — vsearch_clustering","text":"VSEARCH can downloaded https://github.com/torognes/vsearch. information associated publication https://pubmed.ncbi.nlm.nih.gov/27781170.","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/vsearch_clustering.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Recluster sequences of an object of class physeq\nor cluster a list of DNA sequences using vsearch software — vsearch_clustering","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/vsearch_clustering.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Recluster sequences of an object of class physeq\nor cluster a list of DNA sequences using vsearch software — vsearch_clustering","text":"","code":"summary_plot_pq(data_fungi) #> Cleaning suppress 0 taxa and 0 samples.  d_vs <- vsearch_clustering(data_fungi) summary_plot_pq(d_vs) #> Cleaning suppress 0 taxa and 0 samples."},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/write_pq.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Save phyloseq object in the form of multiple csv tables. — write_pq","text":"","code":"write_pq(   physeq,   path = NULL,   rdata = FALSE,   one_file = FALSE,   write_sam_data = TRUE,   sam_data_first = FALSE,   clean_pq = TRUE,   reorder_asv = FALSE,   rename_asv = FALSE,   remove_empty_samples = TRUE,   remove_empty_taxa = TRUE,   clean_samples_names = TRUE,   silent = FALSE,   verbose = FALSE,   quote = FALSE,   sep_csv = \"\\t\",   ... )"},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/write_pq.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Save phyloseq object in the form of multiple csv tables. — write_pq","text":"physeq (required): phyloseq-class object obtained using phyloseq package. path path folder save phyloseq object rdata (logical) phyloseq object also saved Rdata format? one_file (logical) TRUE, combine data one file write_sam_data (logical) samples data add file. used one_file TRUE. Note option result lot NA values. sam_data_first (logical) TRUE, put sample data top table used one_file write_sam_data TRUE. clean_pq (logical) set TRUE, empty samples discarded subsetting ASV reorder_asv (logical) TRUE otu_table ordered number sequences ASV (descending order). Default TRUE. possible clean_pq set TRUE. rename_asv reorder_asv (logical) TRUE, ASV renamed position OTU_table (asv_1, asv_2, ...). Default FALSE. possible clean_pq set TRUE. remove_empty_samples (logical) want remove samples without sequences (done removing empty taxa) remove_empty_taxa (logical) want remove taxa without sequences (done removing empty samples) clean_samples_names (logical) want clean samples names? silent (logical) true, message printing. verbose (logical) Additional informations message verbose parameter overwrite silent parameter. quote logical value (default FALSE) numeric vector. TRUE, character factor columns surrounded double quotes.  numeric vector, elements taken indices columns quote.  cases, row column names quoted written. FALSE nothing quoted. sep_csv (default tabulation) separator column ... arguments passed utils::write.table() function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/write_pq.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Save phyloseq object in the form of multiple csv tables. — write_pq","text":"Build folder (path) containing one four csv tables (refseq.csv, otu_table.csv, tax_table.csv, sam_data.csv) present phy_tree Newick format","code":""},{"path":[]},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/write_pq.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Save phyloseq object in the form of multiple csv tables. — write_pq","text":"Adrien Taudière","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/reference/write_pq.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Save phyloseq object in the form of multiple csv tables. — write_pq","text":"","code":"if (FALSE) {   write_pq(data_fungi, path = \"phyloseq\")   write_pq(data_fungi, path = \"phyloseq\", one_file = TRUE) }"},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"miscmetabar-07-in-development","dir":"Changelog","previous_headings":"","what":"MiscMetabar 0.7 (in development)","title":"MiscMetabar 0.7 (in development)","text":"Add functions chimera_detection_vs() chimera_removal_vs() process chimera detection removal using vsearch software Add functions filter_trim(), sample_data_with_new_names() rename_samples() facilitate use targets bioinformatic pipeline. Add function add_info_to_sam_data() expand sam_data slot using data.frame using nb_asv nb_seq Add functions swarm_clustering() vsearch_clustering() add swarm method function asv2otu() Add function physeq_or_string_to_dna() mostly internal use Add function cutadapt_remove_primers() remove primers using cutadapt Add internal functions is_swarm_installed(), is_cutadapt_installed(), is_vsearch_installed() is_falco_installed() test availability external software order run examples test testthat. Submit CRAN change code comply rules (patch 0.7.1 0.7.4)","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"breaking-changes-0-7","dir":"Changelog","previous_headings":"","what":"BREAKING CHANGES","title":"MiscMetabar 0.7 (in development)","text":"add_nb_sequences -> add_nb_seq ggvenn_pq() db -> db_url get_funguild_db() db -> db_funguild get_funguild_db() file -> file_path get_file_extension() n_seq -> nb_seq subsample_fastq() otutable -> otu_table lulu() alpha -> pval plot_edgeR_pq() plot_deseq2_pq() change default value 0.01 classical 0.05 sequences -> seq2search function search_exact_seq_pq() seq_names -> dna_seq function asv2otu","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"miscmetabar-060","dir":"Changelog","previous_headings":"","what":"MiscMetabar 0.6.0","title":"MiscMetabar 0.6.0","text":"Add function ancombc_pq() simplify call ANCOMBC::ancombc2() : ANalysis COmpositions Microbiomes Bias Correction 2 Add param taxa_names_from_physeq (default FALSE) subset_taxa_pq() Add param rarefy_by_sample (default FALSE) function ggbetween_pq() Add function are_modality_even_depth() test samples depth significantly vary among modalities factor Add functions merge_taxa_vec() merge_samples2() speedyseq package MiscMetabar decrease package dependencies (Thanks Mike R. Mclaren) Add function reorder_taxa_pq() order replace unique call package MicroViz decrease package dependencies. Add functions get_funguild_db() funguild_assign() FUNGuildR package MiscMetabar decrease package dependencies Remove dependencies packages available CRAN Bioconductor. Improve code using goodpractice::gp() devtools::check() function Add messages various cases (NA samples data, low number sequences samples, low number sequences taxa) using verify_pq() args verbose=TRUE Fix bug multitax_bar_pq() using nb_seq = FALSE","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"miscmetabar-052","dir":"Changelog","previous_headings":"","what":"MiscMetabar 0.52","title":"MiscMetabar 0.52","text":"Add function ggbetween_pq() facilitate comparison hill number using power ggstatsplot::ggbetweenstats() Add function plot_SCBD_pq() plot species contributions beta diversity (SCBD) samples","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"miscmetabar-051","dir":"Changelog","previous_headings":"","what":"MiscMetabar 0.51","title":"MiscMetabar 0.51","text":"Add function LCBD_pq() plot_LCBD_pq() compute, test plot local contributions beta diversity (LCBD) samples Add function tbl_sum_samdata() summarize information sample data table Add function mumu_pq() use mumu, fast robust C++ implementation lulu. Add (mostly internal) function install_pkg_needed() install pkg (mostly package list Suggest DESCRIPTION) needed function. Add function add_funguild_info() plot_guild_pq() add plot fungal guild information taxonomy using FUNGuild package Add function build_phytree_pq() build 3 phylogenetic trees (NJ, UPGMA ML using phangorn R package) refseq slot phyloseq object, possibly bootstrap values. See vignettes Tree visualization introduction tree visualization using ggtree R package.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"miscmetabar-05","dir":"Changelog","previous_headings":"","what":"MiscMetabar 0.5","title":"MiscMetabar 0.5","text":"Phyloseq object converted taxa_are_columns ggvenn_pq() thanks issue #31","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"breaking-changes-0-5","dir":"Changelog","previous_headings":"","what":"BREAKING CHANGES","title":"MiscMetabar 0.5","text":"Rename param log_10 function biplot_pq() log10trans Rename param log10transform function circle_pq() log10trans","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"miscmetabar-042","dir":"Changelog","previous_headings":"","what":"MiscMetabar 0.42","title":"MiscMetabar 0.42","text":"Add argument one_plot (default FALSE, behavior ) hill_pq function order return unique ggplot2 object four plots inside. Add argument correction_for_sample_size (default TRUE, behavior ) hill_pq hill_tuckey_pq function allow removing correction uneven sampling depth. Add function multitax_bar_pq() plot 3 levels taxonomy function samples attributes Add function ridges_pq() plot ridges one taxonomic level function samples attributes Add function treemap_pq plot treemap two taxonomic levels","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"miscmetabar-041","dir":"Changelog","previous_headings":"","what":"MiscMetabar 0.41","title":"MiscMetabar 0.41","text":"Add function iNEXT_pq() calculate hill diversity using iNEXT package. Add argument pairs multi_biplot_pq() order indicate pairs samples want print. Improve compare_pairs_pq() information number shared sequences among pairs. Add function upset_pq() plot upset phyloseq object using ComplexUpset package. Add function upset_test_pq test differences intersections (wrapper ComplexUpset::upset_test() phyloseq-object). Add info (param add_info) subtitle hill_pq() function. Add argument remove_space simplify_taxo() function. Add argument simplify_taxo clean_pq() function. Change argument rarefy_nb_seq rarefy_before_merging add arguments rarefy_after_merging add_nb_seq ggvenn_pq() function. Add arguments rarefy_after_merging biplot_pq() upset_pq() functions. Add argument taxa_fill upset_pq() function order fill bar taxonomic rank. Add function subsample_fastq() make subset fastq files order test pipeline samples low number reads. Add function accu_samp_threshold() compute number sequence obtain given proportion ASV accumulation curves (`accu_plot). Add function tax_bar_pq() order plot taxonomic distribution across samples.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"miscmetabar-040","dir":"Changelog","previous_headings":"","what":"MiscMetabar 0.40","title":"MiscMetabar 0.40","text":"Add function multi_biplot_pq() visualize collection couples samples comparison list biplot_pq(). Add options add_info, na_remove, clean_pq plot_tax_pq() function. Add options vsearch_cluster_method vsearch_args otu2asv() detailed control vsearch software. Suppression buggy function MM_idtaxa(). 4 separate tables 1 table version 1 RData file Add function add_blast_info() add information blast_pq() tax_table slot phyloseq object. Add option keep_temporary_files asv2otu() function. Improve documentation asv2otu() fix little bug name conserved ASV asv2otu(). Test coverage largely improved leading numerous minor bug fixes. Add function search_exact_seq_pq() search exact matching sequences using complement, reverse reverse-complement phyloseq object. Add function add_new_taxonomy_pq() add new taxonomic rank phyloseq object. example add taxonomic assignment new database. Add battery test using test_that package improve code compatibility cran recommendations.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"breaking-changes-0-40","dir":"Changelog","previous_headings":"","what":"BREAKING CHANGES","title":"MiscMetabar 0.40","text":"vsearch_cluster_method = “–cluster_size” tax_adjust = 0","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"miscmetabar-034","dir":"Changelog","previous_headings":"","what":"MiscMetabar 0.34","title":"MiscMetabar 0.34","text":"Add option add_nb_samples ggvenn_pq() add number samples level name plot. Useful see disequilibrium number samples among factor’s levels. Add option args_makedb args_blastn functions blast_pq(), blast_to_phyloseq(), blast_to_derep() filter_asv_blast(). Add option rarefy_nb_seqs ggven_pq() order rarefy samples plotting. Add function SRS_curve_pq() plot scaling ranked subsampling (SRS) curves using SRS::SRS_curve() function (see citation(“SRS”) reference). Add option nb_samples_info biplot_pq() order add number samples merged level factors. Add message two modalities differ greatly (x2) number sequences biplot_pq() ggvenn_pq(). Add options na_remove, dist_method (including Aitchinson robust-Aitchinson distance), correction_for_sample_size rarefy_nb_seqs options adonis_pq() function. Add option na_remove graph_test_pq() function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"miscmetabar-033","dir":"Changelog","previous_headings":"","what":"MiscMetabar 0.33","title":"MiscMetabar 0.33","text":"Add function plot_tax_pq() plot taxonomic distribution (nb sequences nb ASV) across factor. Add option add_points make better axis hill_pq() function Add function blast_to_derep() order facilitate searching fasta sequences dereplicated sequences (obtained dada2::derepFastq) Add functions tsne_pq() plot_tsne_pq() quickly visualize results t-SNE multidimensional analysis based Rtsne::Rtsne() function.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"miscmetabar-032","dir":"Changelog","previous_headings":"","what":"MiscMetabar 0.32","title":"MiscMetabar 0.32","text":"Add possibility select folder function count_seq() Add functions track_wkflow_samples() select_one_sample() Add option sam_data_first function write_pq() Add option reorder_asv rename_asv function write_pq() clean_pq Add function rotl_pq() build phylogenetic tree using ASV binomial names physeq object Open Tree Life tree.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"miscmetabar-031","dir":"Changelog","previous_headings":"","what":"MiscMetabar 0.31","title":"MiscMetabar 0.31","text":"Argument split_by make multiple plot given variable sam_data slot (function ggvenn_pq()) Argument seq_names asv2otu() function allow clusterize sequences character vector DNA. Add blast_pq() function blast sequences @ref_seq slot custom database Add filter_asv_blast() function filter ASV phyloseq dataset using blast custom database Add subset_taxa_pq() function filter ASV based named conditional vector. Used filter_asv_blast(). Add parameter force_taxa_as_columns (default FALSE) force_taxa_as_rows (default FALSE) clean_pq(). Add first version function count_fastq_seq() count sequences fastq.gz files directly R. Add taxonomic info track_wkflow() function (parameter taxonomy_rank)","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"miscmetabar-03","dir":"Changelog","previous_headings":"","what":"MiscMetabar 0.3","title":"MiscMetabar 0.3","text":"Change function names, mainly replacing physeq pk. Improve documentation using rules documented Rules vignettes. Add option sam_names() read_pq() Correction data_fungi data_fungi_sp_known metadata","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"miscmetabar-024","dir":"Changelog","previous_headings":"","what":"MiscMetabar 0.24","title":"MiscMetabar 0.24","text":"Add supplementary info summary_plot_physeq()` Better arguments biplot_physeq()`) Add merge_sample_by argument biplot_physeq()` Better documentation example. minors bugs fixes addition, see list commits","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"miscmetabar-023","dir":"Changelog","previous_headings":"","what":"MiscMetabar 0.23","title":"MiscMetabar 0.23","text":"Adapt function asv2otu() IdClusters change DECIPHER package (commit 254100922f2093cc789d018c18a26752a3cda1e3). change IdClusters function removed DECIPHER Clusterize function. Better functioning blast_to_phyloseq() none query sequences founded. Add tax_adjust argument asv2otu()function Add functions useful targets package Add biplot_physeq() function visualize two samples comparison physeq object Add argument modality tax_datatable() function split OTU abundancy level sample modality Add function multiple_share_bisamples() help compare samples pairs Add new function (ggVenn_phyloseq()) better venn diagram without area calculation (use venn_phyloseq() case). Add two functions helpful beta-diversity analysis (adonis_phyloseq() physeq_graph_test())","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"miscmetabar-022","dir":"Changelog","previous_headings":"","what":"MiscMetabar 0.22","title":"MiscMetabar 0.22","text":"Add badge set development lifecycle function Add lulu_phyloseq function make easy reclustering phyloseq object using lulu algorithm (https://www.nature.com/articles/s41467-017-01312-x) lulu package.","code":""},{"path":"https://adrientaudiere.github.io/MiscMetabar/news/index.html","id":"miscmetabar-021","dir":"Changelog","previous_headings":"","what":"MiscMetabar 0.21","title":"MiscMetabar 0.21","text":"first release pkgdown.","code":""}]