Merge branch 'master' into RAM.help

TODO.md

@@ -44,6 +44,7 @@
 
 ## Generalise pipeline for distance matrices.
 
+
  - [x] add an option `keep.distance = TRUE` to `dispRity` which does:
     - [x] detect data as a distance matrix or not
     - [x] if yes + `keep.distance = TRUE` OR if no + `keep.distance = TRUE` + RAM.helper + distance based metric -> apply bootstrap or anything on rows and columns

inst/gitbook/03_specific-tutorials.Rmd

@@ -1540,7 +1540,7 @@ This can be done on `dispRity` objects using the `adonis.dispRity` wrapper funct
 Basically, this function takes the exact same arguments as `adonis` and a `dispRity` object for data and performs a PERMANOVA based on the distance matrix of the multidimensional space (unless the multidimensional space was already defined as a distance matrix).
 The `adonis.dispRity` function uses the information from the `dispRity` object to generate default formulas:
 
-  * If the object contains customised subsets, it applies the default formula `matrix ~ group` testing the effect of `group` as a predictor on `matrix` (called from the `dispRity` object as `data$matrix` see [`dispRitu` object details](#The-dispRity-object-content))
+  * If the object contains customised subsets, it applies the default formula `matrix ~ group` testing the effect of `group` as a predictor on `matrix` (called from the `dispRity` object as `data$matrix` see [`dispRity` object details](#The-dispRity-object-content))
   * If the object contains time subsets, it applies the default formula `matrix ~ time` testing the effect of `time` as a predictor (were the different levels of `time` are the different time slices/bins)
 
 ```{r}