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10  Appendix

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11 how to install R and RStudio on your machine

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The marvellous Danielle Navarro has LOTS of useful R learning resources on her YouTube channel. This playlist about how to install R and RStudio is particularly useful; no matter which operating system you are dealing with… Dani has you covered.

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12 how to install packages

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You only need to install a package once on your machine. Once the package is installed, you will need to use library() to load the functions in it every time you want to use it, but the installation is a one time job. So you can either do it in the console, or using the packages tab.

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12.1 option 1

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Install a package by typing the following command with the name of the package you would like to install in the console.

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install.packages("packagename")
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12.2 option 2

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Alternatively, search for the package you would like to install in the packages tab.

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You can search for packages and install them from CRAN via the packages tab
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Remember once you have installed a package, you will need to use the library() function to load it before it will work.

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12.3 useful packages for psychology

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  • tidyverse this is a cluster of super helpful data wrangling and visualisation tools.
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  • here this package helps direct R to the correct place for files based on the current working directory.
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  • janitor this package helps us clean up data - especially awkward variable names.
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  • qualtRics this package is helpful in reading in data files from Qualtrics… except for .sav SPSS format files! (see next)
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  • haven this package is a good one for reading in .sav SPSS format files
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  • sjplot this package is helpful for making a ‘codebook’ of your variables and values from imported .sav files
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  • surveytoolbox this package is helpful in drawing out the value labels of variables imported in .sav format – note: because surveytoolbox is on github and not CRAN, you’ll want to do the following two steps in the console. Note that we do this in the console since we only need to do it once! If the install asks you about updating packages, go ahead and do it! —(1) install the devtools package: install.packages(“devtools”) —(2) install via github: devtools::install_github(“martinctc/surveytoolbox”)
    • -
  • ufs this package (short for user friendly science) is a nice tool for computing the internal reliability of scales – note: one of the commands we will use in ufs requires the psych package to be installed (but doesn’t need to be loaded via library()). Ensure you install that first. Two steps: —-(1) install the `remotes`` package: install.packages(“remotes”) —-(2) install via github_lab: remotes::install_gitlab(‘r-packages/ufs’)
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  • apa nice for making statistical output into APA style
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  • gt nice for making your tables look pretty
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  • apaTables makes nice APA-styled tables of correlation, ANOVA, regression etc. output
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  • report is a package to help with results reporting
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  • psych is an umbrella package for lots of common psych tasks
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  • ez is a great package for stats, including analysis of variance
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13 using inline code

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JR maybe this piece needs to go in a separate chapter about writing with RMarkdown, papaja etc

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#pulls from the exclusions_summary tabyl created above
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-comments_only_count <- exclusions_summary %>% filter(exclude_coded == "comments only") %>% pull(n)
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-time_only_count <- exclusions_summary %>% filter(exclude_coded == "time only") %>% pull(n)
-variance_only_count <- exclusions_summary %>% filter(exclude_coded == "variance only") %>% pull(n)
-total <- exclusions_summary %>% filter(exclude_coded == "Total") %>% pull(n)
-kept <- exclusions_summary %>% filter(exclude_coded == "kept") %>% pull(n)
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Use of inline code is really helpful in avoiding transcription errors and saving time when writing up! Here, we use code to pull in some descriptive statistics from the exclusion reason table we made above:

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INSERT INLINE EXAMPLE HERE

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14 helpful console commands

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15 useful keyboard shortcuts

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Option-Command-I = inserts a new code chunk Command-Enter = runs the chunk of code that your cursor is in

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16 commonly encountered errors

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8  Contributing

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This resource is created in mind so that the community that uses it, can also contribute to it. We hope this mindset will encourage the resource to grow and stay up-to-date for R learners.

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Importantly, all skill levels are welcome to contribute, even if you think your skills are not up to scratch - this is what this guide is for!

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8.0.1 Hello Quarto!

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This book is built by Quarto which is an open source, cross-language publishing system that allows users to build beautiful things from blogs, to websites and books!

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You can learn more about the capabilities of Quarto in this talk by Mine Çetinkaya-Rundel & Julia Stewart Lowndes at posit::conf(2023)

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8.0.1.1 Install Quarto

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Let’s first make sure we the latest version of Quarto installed.

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8.0.2 GitHub Workflow

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Let’s talk about the Git/GitHub part of the workflow. Git is a version control system. It that tracks changes in our code that generated this book and helps us coordinate our collaborative edits.

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Git monitors the changes in a project directory a.k.a repository or “repo”. There are two types of repositories:

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  • Local repository: This is a project directory that exists locally in your computer than git is actively watching over.

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  • Remote repository: This is a synced copy of your local repo. The remote repo for this book lives on GitHub. GitHub centralises our collaborative efforts. It provides a platform for the community to make a local copy of the book, create changes and introduce them back to the remote repository. GitHub also acts as the hosting service for the book itself which is also a big bonus for us.

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8.0.2.1 Sign up to GitHub

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Start by getting yourself an account at GitHub by signing up here

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8.0.2.2 Install git

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Follow these instructions from “Happy Git with R” to install git to your computer. There are specific instructions for different operating systems.

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8.0.2.3 Install a git client

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Traditionally, git has been used in the shell terminal. This is the ‘back-end’ of the computer and you can interact with your computer using code. This means that you have to type out commands to tell git what to do. This method can become a little overwhelming when you are starting out because you have to learn all the different commands.

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If you are starting out with git and GitHub, we suggest using a git client like Github Desktop, however it is limited to only to Windows and Mac. If you use Linux, GitKraken is also a great alternative.

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There are many git clients to choose from. Once you start to get the hang on things, all of these clients are much of the same and its a matter of personal preference.

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If you are an RStudio user, there is a git tab that is built-in to the interface, its features are more simplified than the previously mentioned clients but does the basic commands that we will talk about next.

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For the rest of the chapter, we will focus on using Github Desktop, but the main git commands should translate to whichever client you are using.

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8.0.2.4 Cloning: make a local copy

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Now that we have all the installation out of the way, we can get started!

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Lets first get you a local copy of the book onto your computer by “cloning” the repository

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Head over to the remote repo for the book:

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Here you will find a drop-down menu showing different methods of cloning the code from the remote repo.

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We will stick with the default option of using HTTPS a.k.a. cloning by using the URL of the remote repo.

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  1. Click on the copy URL button (The stacked squares icon)

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  2. Navigate to Github Desktop and click on the first drop down menu from the left. Here you will find the Add button.

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  1. Click on Add and then Clone Repository

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  2. Click on the URL option and paste in the URL of this book’s remote repo e.g. https://github.com/unsw-edu-au/r4psych

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  3. Under Local Path, you can choose where you want to place this cloned repo. Avoid putting your repos in Cloud services such as Dropbox or Google Drive. These can sometimes interfere with git’s ability to track your changes.

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  4. Finally, click Clone and let git do the work! It will copy everything that is in the remote repo and bring it down locally on your computer!

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  5. Navigate to the local path where you told git to clone to in Step 7 and check out the directories. You will learn more about these in Book Structure

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8.0.2.5 Branches

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We will work in branches so as to not overwrite each other’s work and have a systematic way in introducing new contributions to the book. Coordinating collaboratives changes on branches is what GitHub does best.

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The main branch will be the current approved version of the book. The main branch is what displays at https://unsw-edu-au.github.io/r4psych/

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A nice clean workflow with branches is to consider them temporary. You pull the most recent from main, you create a branch locally, you make your edits, you commit regularly, you push regularly to github.com, and then you create a pull request for it to be merged into main, and when it’s approved the branch is deleted on github.com and you also delete it locally. That’s the workflow we’ll walk through here. A great resource on GitHub setup and collaboration is Happy Git with R, which includes fantastic background philosophy as well as bash commands for setup, workflows, and collaboration.

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The following assumes you’ve completed the initial setup from the previous chapter.

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8.0.2.6 Fetch the latest version

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8.0.2.7 Stage and add your changes

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8.0.2.8 Push your work to remote

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8.0.3 Quarto Workflow

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8.1 Book Structure

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8.2 Book Practices and Conventions

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8.3 Book Contributions

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8.3.1 Edits

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8.3.2 Additions

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8.4 Submit a pull request

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9  Data

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5  Describe

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5.1 getting a feel for your data

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glimpse

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skimr

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5.2 counting things

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group_by + summarise + count

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tabyl

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5.3 getting descriptives

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group_by + summarise + mean & sd

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scale1_by_condition12 <- data_scalescomputed %>%
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-  summarise(mean_scale1 = mean(scale1_index, na.rm = TRUE),
-            sd_scale1 = sd(scale1_index, na.rm = TRUE))
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5.3.1 Three things to remember

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  3. As noted above, rowwise asks R to do something for each row (which is what we want here – to compute the mean of the contributing items for each participant). Whenever we use rowwise (or group_by), we need to ungroup() at the end to avoid issues down the line.
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5.4 tables??

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gt

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apaTable

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3  Import

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4 Packages for this chapter

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library(tidyverse)
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── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
-✔ dplyr     1.1.4     ✔ readr     2.1.5
-✔ forcats   1.0.0     ✔ stringr   1.5.1
-✔ ggplot2   3.5.1     ✔ tibble    3.2.1
-✔ lubridate 1.9.3     ✔ tidyr     1.3.1
-✔ purrr     1.0.2     
-── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
-✖ dplyr::filter() masks stats::filter()
-✖ dplyr::lag()    masks stats::lag()
-ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
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library(here)
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here() starts at /Users/fontikar/Dropbox/0 - Job/r4psych
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library(janitor)
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-Attaching package: 'janitor'
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-The following objects are masked from 'package:stats':
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library(haven)
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Learn more about sjPlot with 'browseVignettes("sjPlot")'.
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# remotes::install_github("martinctc/surveytoolbox")
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4.1 Reading in Excel spreadsheets

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This is gobbledygook.

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4.1.1 Reading in .csv

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4.2 Reading in SPSS

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4.3 Reading in Qualtrics data

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4.3.1 Reading in .sav

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5 Read in the data

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Remember the file setup described above? This is where that starts to be important. Remember, our working directory (i.e., where R thinks “here” is) was set via the Rproj file – so it is the “Williams Lab Core R” folder. You can check this by typing getwd() or here() in the console.

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For most of this core script, we’ll be using data from a file called sampledata.sav, which should be in the data subfolder from the zipped file. If not, sort that out now!

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A .sav file is in SPSS format. When you export from Qualtrics into .sav/SPSS format, it retains helpful information like question wording and response labels. If you export straight to .csv, you lose that info and will find yourself cross-checking back to Qualtrics. So, strong word of advice to always export to .sav.

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The code below uses the here command to direct R to the data folder from the working directory, and then the .sav file within it.

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The glimpse command gives a nice overview of the variables, their type, and a preview of the data.

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data <- read_sav(here("data", "sampledata.sav")) 
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-glimpse(data)
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Rows: 199
-Columns: 13
-$ participantid         <dbl> 103, 109, 118, 121, 122, 126, 128, 129, 132, 133…
-$ IPAddress             <chr> "73.173.1", "97.102.1", "108.30.2", "75.128.9", …
-$ Variable1             <dbl+lbl> 4, 1, 3, 2, 6, 3, 2, 1, 2, 2, 1, 7, 2, 1, 1,…
-$ Variable2             <dbl+lbl> 4, 4, 6, 5, 2, 6, 2, 4, 4, 3, 5, 2, 6, 5, 5,…
-$ Variable3             <dbl+lbl> 6, 4, 6, 5, 3, 6, 3, 4, 4, 3, 5, 2, 6, 5, 5,…
-$ Variable4             <dbl> 5, 4, 2, 2, 5, 6, 5, 1, 3, 3, 4, 5, 6, 5, 6, 3, …
-$ Variable5             <dbl> 5, 5, 3, 1, 6, 7, 6, 1, 4, 2, 5, 7, 6, 7, 4, 3, …
-$ Variable6             <dbl> 6, 6, 2, 1, 5, 6, 7, 3, 3, 4, 5, 6, 5, 6, 7, 2, …
-$ Demographicscateg     <dbl+lbl> 2, 2, 1, 2, 2, 2, 1, 2, 2, 1, 1, 1, 1, 1, 1,…
-$ condition12           <dbl+lbl> 1, 2, 1, 1, 1, 2, 1, 2, 2, 1, 1, 2, 2, 1, 1,…
-$ condition1234         <dbl+lbl> 3, 3, 1, 2, 4, 1, 1, 3, 3, 3, 1, 1, 1, 1, 4,…
-$ comments              <chr> "", "", "", "", "", "", "", "", "", "", "", "", …
-$ CompletionTimeseconds <dbl> 527, 287, 391, 377, 359, 595, 296, 466, 296, 550…
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These variable names won’t be very nice to work with with awkward and inconsistent capitalisation. Actual Qualtrics exports are even messier!

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The clean_names function from janitor helps clean them up!

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data_cleanednames <- at the start of the line saves the change to a new dataframe. Alternately, you could write it back to the same dataframe (e.g., data <- ), but this should be done very intentionally as it makes it harder to backtrack to the source of an error. The general rule is to create a new dataframe each time you implement a big change on the data.

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The glimpse command here shows you that you effectively cleaned the variable names!

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data_cleanednames <- clean_names(data)
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-glimpse(data_cleanednames)
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Rows: 199
-Columns: 13
-$ participantid          <dbl> 103, 109, 118, 121, 122, 126, 128, 129, 132, 13…
-$ ip_address             <chr> "73.173.1", "97.102.1", "108.30.2", "75.128.9",…
-$ variable1              <dbl+lbl> 4, 1, 3, 2, 6, 3, 2, 1, 2, 2, 1, 7, 2, 1, 1…
-$ variable2              <dbl+lbl> 4, 4, 6, 5, 2, 6, 2, 4, 4, 3, 5, 2, 6, 5, 5…
-$ variable3              <dbl+lbl> 6, 4, 6, 5, 3, 6, 3, 4, 4, 3, 5, 2, 6, 5, 5…
-$ variable4              <dbl> 5, 4, 2, 2, 5, 6, 5, 1, 3, 3, 4, 5, 6, 5, 6, 3,…
-$ variable5              <dbl> 5, 5, 3, 1, 6, 7, 6, 1, 4, 2, 5, 7, 6, 7, 4, 3,…
-$ variable6              <dbl> 6, 6, 2, 1, 5, 6, 7, 3, 3, 4, 5, 6, 5, 6, 7, 2,…
-$ demographicscateg      <dbl+lbl> 2, 2, 1, 2, 2, 2, 1, 2, 2, 1, 1, 1, 1, 1, 1…
-$ condition12            <dbl+lbl> 1, 2, 1, 1, 1, 2, 1, 2, 2, 1, 1, 2, 2, 1, 1…
-$ condition1234          <dbl+lbl> 3, 3, 1, 2, 4, 1, 1, 3, 3, 3, 1, 1, 1, 1, 4…
-$ comments               <chr> "", "", "", "", "", "", "", "", "", "", "", "",…
-$ completion_timeseconds <dbl> 527, 287, 391, 377, 359, 595, 296, 466, 296, 55…
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A few things about working with files in SPSS format (.sav) before we continue. The reason why we bother with this is that the SPSS format maximises the information in the file. Unlike exporting to .csv or another spreadsheet format, .sav retains information about question wording (saved as a variable label) and response labelling (saved as a value label).

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If you look at the variable types at the right of the glimpse output, you’ll see the some of the variables are dbl (numeric) while some are dbl+lbl (numeric with labelled values). If you view the data object (by clicking on it in the Environment or using view(data)) you will see that some of the variables have the question wording below the variable name.

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Having this information on hand is really helpful when working with your data!

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The view_df function from the sjPlot package creates a really nicely formatted html file that includes variable names, question wording, response options, and response labelling. This code saves the html file to the output_files folder using the here package (which starts where your Rproj file is). This html file is nice as a reference for your own use or to share with a supervisor or collaborator!

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view_df(data_cleanednames)
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Data frame: data_cleanednames
IDNameLabelValuesValue Labels
1participantidrange: 103-996
2ip_address<output omitted>
3variable1variable 1 question wording1
-7		strongly disagree
-strongly agree
4variable2variable 2 question wording1
-7		strongly disagree
-strongly agree
5variable3variable 3 question wording1
-7		strongly disgree
-strongly agree
6variable4variable 4 question wordingrange: 1-7
7variable5variable 5 question wordingrange: 1-7
8variable6variable 6 question wordingrange: 1-7
9demographicscategdemographics question1
-2		category 1
-category 2
10condition12two conditions1
-2		condition 1
-condition 2
11condition1234four conditions1
-2
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-4		condition 1
-condition 2
-condition 3
-condition 4
12commentscomments
13completion_timesecondscompletion time (seconds)range: 30-597
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view_df(data_cleanednames, file=here("output_files","spsstest_codebook.html"))
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Data frame: data_cleanednames
IDNameLabelValuesValue Labels
1participantidrange: 103-996
2ip_address<output omitted>
3variable1variable 1 question wording1
-7		strongly disagree
-strongly agree
4variable2variable 2 question wording1
-7		strongly disagree
-strongly agree
5variable3variable 3 question wording1
-7		strongly disgree
-strongly agree
6variable4variable 4 question wordingrange: 1-7
7variable5variable 5 question wordingrange: 1-7
8variable6variable 6 question wordingrange: 1-7
9demographicscategdemographics question1
-2		category 1
-category 2
10condition12two conditions1
-2		condition 1
-condition 2
11condition1234four conditions1
-2
-3
-4		condition 1
-condition 2
-condition 3
-condition 4
12commentscomments
13completion_timesecondscompletion time (seconds)range: 30-597
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The data_dict function from surveytoolbox makes a dataframe with all the variable and response labels - similar to the html created above, but this can be called upon later in R as it’s now part of the environment.

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datadictionary <- data_cleanednames %>%
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Let’s say you just want to know the question wording or response labels for a particular variable, you can do this via code rather than checking the whole dataset. The extract_vallab command from surveytoolbox returns the value labels for a given variable.

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data_cleanednames %>%
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# A tibble: 2 × 2
-     id demographicscateg
-  <dbl> <chr>            
-1     1 category 1       
-2     2 category 2
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There are (evidently) times when packages do not like labelled data. So, here are a few tools for removing labels from the haven package. Keep these up your sleeve for problem solving later! zap_labels and zap_label not surprisingly removes the labels - the first removes the value labels and the second removes the variable labels! The code below makes a new data dictionary of the zapped dataframe and glimpses the new dataframe to confirm the labels are gone.

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data_zapped <- data_cleanednames %>%
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-datadictionary_zapped <- data_zapped %>%
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-glimpse(data_zapped)
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Rows: 199
-Columns: 13
-$ participantid          <dbl> 103, 109, 118, 121, 122, 126, 128, 129, 132, 13…
-$ ip_address             <chr> "73.173.1", "97.102.1", "108.30.2", "75.128.9",…
-$ variable1              <dbl> 4, 1, 3, 2, 6, 3, 2, 1, 2, 2, 1, 7, 2, 1, 1, 3,…
-$ variable2              <dbl> 4, 4, 6, 5, 2, 6, 2, 4, 4, 3, 5, 2, 6, 5, 5, 6,…
-$ variable3              <dbl> 6, 4, 6, 5, 3, 6, 3, 4, 4, 3, 5, 2, 6, 5, 5, 7,…
-$ variable4              <dbl> 5, 4, 2, 2, 5, 6, 5, 1, 3, 3, 4, 5, 6, 5, 6, 3,…
-$ variable5              <dbl> 5, 5, 3, 1, 6, 7, 6, 1, 4, 2, 5, 7, 6, 7, 4, 3,…
-$ variable6              <dbl> 6, 6, 2, 1, 5, 6, 7, 3, 3, 4, 5, 6, 5, 6, 7, 2,…
-$ demographicscateg      <dbl> 2, 2, 1, 2, 2, 2, 1, 2, 2, 1, 1, 1, 1, 1, 1, 1,…
-$ condition12            <dbl> 1, 2, 1, 1, 1, 2, 1, 2, 2, 1, 1, 2, 2, 1, 1, 1,…
-$ condition1234          <dbl> 3, 3, 1, 2, 4, 1, 1, 3, 3, 3, 1, 1, 1, 1, 4, 2,…
-$ comments               <chr> "", "", "", "", "", "", "", "", "", "", "", "",…
-$ completion_timeseconds <dbl> 527, 287, 391, 377, 359, 595, 296, 466, 296, 55…
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For the rest of this script, we will work with the zapped dataframe. This is the recommended approach to save headaches with errors down the line.

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Welcome!

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This book is written in mind for someone working in Psychology and is venturing into R with little to no experience. Research data in Psychology is unique in that it is collected in formats that are human-readable but not exactly R-readable. Data wrangling conventions will often vary depending on research question and therefore by what type data is collected. In “R for Psychology”, we have compiled a series of real-world examples from different sub-disciplines and will walk through the process of wrangling, summary, analyses and visualisations

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This book is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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How to contribute

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This book is built using Quarto and hosted via GitHub Pages. It is a living resource, we welcome any contributions from the Psychology community that would improve the quality of this book. There are many ways to contribute:

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Take a look at our Contributing Guide to see how you can help!

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Acknowledgements

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This book was created on the unceded territory of the Bedegal people who are the Traditional custodians of the lands where the Kensington campus is located.

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The first version of this book was funded by the UNSW Research Infrastructure Scheme.

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We would like to thank the following people who have contributed to the book:

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@daxkellie

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8 Moving into analyses

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thoughts from Jenny : I wonder whether it would be useful to structure this in terms of lets combine skills from previous chapters to..

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8.1 Plots and descriptives

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Now, let’s test whether this scale varies by condition (condition 1 vs. condition 2 in condition12).

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Before jumping into t-tests, let’s first visualise the data (scale1_index) to get a sense of what it looks like.

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The first command here tells R to treat condition12 as a categorical variable that groups the data (technically, a factor). This is helpful for plotting. The code uses the dataframe$variablename structure to do a command on just one variable.

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The second command pipes the data into a command to create a boxplot (geom_boxplot) with the datapoints plotted as well (geom_jitter).The width command makes the plotting of the dots a bit narrower to help with interpretation.

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Based on the boxplot, we’d expect a t-test to be nonsignificant - the wide boxes of the plots for each condition overlap, even though the mean of condition 2 is slightly higher than condition 1 (the horizontal line through the box).

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8.2 t-test

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The first line of code uses the base R command to run a t-test. It tells R to do the test on the data_scalescomputed data frame, asking whether scale1_index varies by (~) condition. var. sets the assumption of variance and conf.level sets the desired alpha of the test. That command is wrapped in the handy t_apa function, which makes the output much easier to read (and pull directly into a write-up!), and also allows us to get a confidence interval on the effect size (es_ci).

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For reporting, you’d probably also want to know the means and standard deviations by condition. The next bit of code asks R to do this, using the summarise function, separately for each condition. Reminder to use na.rm here to account for any missing values.

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The gt() command shows the requested dataframe in a nice formatting.

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t_apa(t.test(data = data_scalescomputed, scale1_index ~ condition12, var. = TRUE, conf.level = .95), es_ci = TRUE)
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9 Linear regression

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lw_addnarrativehere

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this asks the lm package to use predictor to predict outcome

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lm(outcome ~ predictor )

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lw_addnarrativehere simulates hierarchical stepwise regression?

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regressionlm1 <- lm(data = data_scalescomputed, variable6 ~ demographicscateg)
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10 Analysis of Variance (ANOVA)

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lw add narrative

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4 (between participants - condition1234) x2 (between participants - individual difference categorical variable - demographicscateg) design

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outcome: scale1_index

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-cond3categ1 = c(0,0,1,0,0,0,0,0)
-cond4categ1 = c(0,0,0,1,0,0,0,0)
-cond1categ2 = c(0,0,0,0,1,0,0,0)
-cond2categ2 = c(0,0,0,0,0,1,0,0)
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This book is organised by data type (e.g. Survey data, Questionnaire data).

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Content drawn from existing resources such as https://r4ds.hadley.nz/intro#prerequisites

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1.3.1 R

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Download Point to intro to R content (RUWithme, Environmental Computing, Software Carpentry)

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RStudio projects Point to resource about Rproj (SWC)

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Every code section will always begin with calls to R packages. There will be code that is commented out (have # preceding the code) for you to install these if you don’t have them on your computer

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There are few R packages that will be on heavy rotation when it comes to working with Psychology data. #### {tidyverse}

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Speaking on what package versions as we write this book, we understand the R package space is constantly changing. This means sometimes code will break due to package updates and this is all part of the process! To combat this problem, we’ve enlisted renv to create a reproducible environment for building this book.

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1.4.1 Download our virtual environment

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The virtual environment used to build this book is stored in a lockfile. You can find this file in the GitHub repository where the source code of this book lives.

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The lockfile is named renv.lock. You can download this file directly but clicking on the file name and clicking on the “Download raw file” button.

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When you work within an RStudio project, you can reference everything in relation to the top level of that project folder. It doesn’t matter where that project folder lives on your machine (i.e. Desktop, Documents, OneDrive, Dropbox) the code you write is always relative to your project folder. This means that you can share that whole project folder with someone else (your collaborators or supervisor), and your code won’t break.

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Once you have set up a project to contain your analysis, you can avoid further file path drama by using the here() package. This package makes it super easy to refer to file paths and ensures that your code will work, even if someone else is trying to run it on a different computer.

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Once you have installed the here() package, use it to tell R where you find your data like this. This code chunk loads there here() and readr() packages and then tells R to read in a csv file, located in the “data” folder, and the file is called file.csv

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By referring to the location of your data using the here() package, here is no need worry about working directories, and you can be sure that your code will work on any machine.

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To read more about why projects and the here() package are useful, check out this blog by Jenny Bryan

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If you want to write a manuscript (or maybe your whole thesis!) using RMarkdown, check out the papaja (Preparing APA Journal Articles) package

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In this project, I can tell by glancing at the file names that I have a script (.R) that contains functions and three R Markdown files that contain each stage of the analysis.

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Sticking with lower case is a good idea; avoid special characters and use - or _ to fill any gaps.

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2.5 documenting things

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2.5.1 README

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In addition to the breadcrumbs that our file names leave, it is also a good idea to leave explicit notes to your future self (or someone else) in a README.md file. This is a simple text file that contains instructions for how the user should engage with your project.

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In addition to leaving your future self explicit notes about how to engage with the project generally in a README document, it is also best practice to document your code in a way that makes it really clear what the code is doing and why. For this reason, we recommend using R Markdown documents (rather than R scripts) for your analysis.

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R Markdown is a handy file format that allows you to intersperse chunks of code with notes. This kind of document makes it easy to write explanations, interpretations, and thoughts for your future self as you code. This kind of documentation makes it much more likely to be able to make sense of what you have done and why, when you come back to your analysis in a few months time.

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R Markdown documents can also be “knitted” into html, pdf, or word documents, allowing you to share your analysis (and associated thoughts) with collaborators, even if they don’t know R.

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To get up to speed on R Markdown and how to use it, check out RLadiesSydney #RYouWithMe MarkyMark module

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- - - - - \ No newline at end of file diff --git a/docs/search.json b/docs/search.json deleted file mode 100644 index 48babcc..0000000 --- a/docs/search.json +++ /dev/null @@ -1,392 +0,0 @@ -[ - { - "objectID": "index.html", - "href": "index.html", - "title": "R for Psychology", - "section": "", - "text": "Welcome!\nThis book is written in mind for someone working in Psychology and is venturing into R with little to no experience. Research data in Psychology is unique in that it is collected in formats that are human-readable but not exactly R-readable. Data wrangling conventions will often vary depending on research question and therefore by what type data is collected. In “R for Psychology”, we have compiled a series of real-world examples from different sub-disciplines and will walk through the process of wrangling, summary, analyses and visualisations\nThis book is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.\n\n\n\nHow to contribute\nThis book is built using Quarto and hosted via GitHub Pages. It is a living resource, we welcome any contributions from the Psychology community that would improve the quality of this book. There are many ways to contribute:\n\nFixing grammar and typos\nClarification or expanding on existing content\nContribute real-world data in worked examples\nAuthoring an entire chapter\n\nTake a look at our Contributing Guide to see how you can help!\n\n\nAcknowledgements\nThis book was created on the unceded territory of the Bedegal people who are the Traditional custodians of the lands where the Kensington campus is located.\nThe first version of this book was funded by the UNSW Research Infrastructure Scheme.\nWe would like to thank the following people who have contributed to the book:\n@daxkellie", - "crumbs": [ - "Welcome!" - ] - }, - { - "objectID": "intro.html", - "href": "intro.html", - "title": "1  Introduction", - "section": "", - "text": "1.1 What you will learn\nHow to:\nPre-analysis stages:\nAnalysis stages:", - "crumbs": [ - "1  Introduction" - ] - }, - { - "objectID": "intro.html#what-you-will-learn", - "href": "intro.html#what-you-will-learn", - "title": "1  Introduction", - "section": "", - "text": "Read your hard-earned data into R\nWrangle and clean the data in a R-friendly format\nProduce summary statistics\nAnalyse your data\nVisualise your findings", - "crumbs": [ - "1  Introduction" - ] - }, - { - "objectID": "intro.html#how-book-is-organised", - "href": "intro.html#how-book-is-organised", - "title": "1  Introduction", - "section": "1.2 How book is organised", - "text": "1.2 How book is organised\nThis book is organised by data type (e.g. Survey data, Questionnaire data).\nEach chapter will walk through the process will work with real-world Psychology data and will walk you through reading in data, to cleaning and eventually analysis and visualising the results.\n\n1.2.1 Conventions\nWe will refer to packages as {dplyr} and functions as mean(). Variables and objects (such as file names or data objects) as age and mtcars. Where it would aid understanding, we will sometimes refer to functions within a particular packages as dplyr::mutute()", - "crumbs": [ - "1  Introduction" - ] - }, - { - "objectID": "intro.html#prerequisites", - "href": "intro.html#prerequisites", - "title": "1  Introduction", - "section": "1.3 Prerequisites", - "text": "1.3 Prerequisites\nContent drawn from existing resources such as https://r4ds.hadley.nz/intro#prerequisites\n\n1.3.1 R\nDownload Point to intro to R content (RUWithme, Environmental Computing, Software Carpentry)\n\n\n1.3.2 RStudio\nRStudio projects Point to resource about Rproj (SWC)\nRunning R code https://r4ds.hadley.nz/intro#running-r-code\n\n\n1.3.3 Version control with git\n\n1.3.3.1 What is git?\n\n\n1.3.3.2 Why do I need git?\n\n\n\n\n1.3.4 R packages\nEvery code section will always begin with calls to R packages. There will be code that is commented out (have # preceding the code) for you to install these if you don’t have them on your computer\n\n# install.packages(dplyr)\n\nlibrary(dplyr)\n\nThere are few R packages that will be on heavy rotation when it comes to working with Psychology data. #### {tidyverse}\n{tidyverse} is a collection of R packages that is essential to a data scientist’s toolkit. By installing {tidyverse} you are actually installing 8 other packages. The ones we will most often use include:\n\n{dplyr}\n{ggplot2}\n{tidyr}\n\nThe handy thing is, when you load the {tidyverse} library into R, it will load the core suite of packages for you instead of you loading each of them independently! Efficiency!! 🚀\n\nlibrary(tidyverse)\n\nOther packages that will be helpful for your R workflows include:\n\n{here}\n\n{janitor}\n\nAt the end of each chapter, we will also include our call to sessionInfo() so you can see what version of packages we are using.", - "crumbs": [ - "1  Introduction" - ] - }, - { - "objectID": "intro.html#virtual-environments", - "href": "intro.html#virtual-environments", - "title": "1  Introduction", - "section": "1.4 Virtual environments", - "text": "1.4 Virtual environments\nSpeaking on what package versions as we write this book, we understand the R package space is constantly changing. This means sometimes code will break due to package updates and this is all part of the process! To combat this problem, we’ve enlisted renv to create a reproducible environment for building this book.\n\n1.4.1 Download our virtual environment\nThe virtual environment used to build this book is stored in a lockfile. You can find this file in the GitHub repository where the source code of this book lives.\nThe lockfile is named renv.lock. You can download this file directly but clicking on the file name and clicking on the “Download raw file” button.\n\nAlternatively, you can clone our repository into your computer. Learn more about cloning repositorsies and other GitHub workflows in Happy Git by Jenny Bryan.\nOnce you have this file downloaded, move it in a relevant project directory and then we can let {renv} work its magic.\n\n\n1.4.2 Install\nFirst things first, lets install renv if we don’t have it already.\n\ninstall.packages(\"renv\")\n\nlibrary(renv)\n\n\n\n1.4.3 Recreate virtual enviroment\nNow let’s tell renv where our downloaded renv.lock file is. Specific the path to the file in the function restore() and you are good to go!\n\nrestore(lockfile = \"path_to_renv.lock\")", - "crumbs": [ - "1  Introduction" - ] - }, - { - "objectID": "organise.html", - "href": "organise.html", - "title": "2  Organise", - "section": "", - "text": "2.1 R projects\nR really cares about where things live on your computer, even if you don’t. Humans have gotten out of the habit of thinking very hard about where they put things on their machine; the search capabilities on the modern computer are quite good and you can generally find files quite easily by searching for them.\nWhen you are coding in R, however, you need to explicitly tell R where to find things. You can make this process much easier for yourself by always working within an RStudio Project.\nWhen you work within an RStudio project, you can reference everything in relation to the top level of that project folder. It doesn’t matter where that project folder lives on your machine (i.e. Desktop, Documents, OneDrive, Dropbox) the code you write is always relative to your project folder. This means that you can share that whole project folder with someone else (your collaborators or supervisor), and your code won’t break.\nAlways open RStudio by double clicking on the .RProj file in the folder on your machine. There is an icon in the top right corner of RStudio that shows you which project you are working in and makes it easy to switch between projects.", - "crumbs": [ - "2  Organise" - ] - }, - { - "objectID": "organise.html#r-projects", - "href": "organise.html#r-projects", - "title": "2  Organise", - "section": "", - "text": "When you start a new analysis project, create a New RStudio Project via the File tab.\n\n\n\n\nWorking in an RStudio Project called my_new_analysis", - "crumbs": [ - "2  Organise" - ] - }, - { - "objectID": "organise.html#where-is-here", - "href": "organise.html#where-is-here", - "title": "2  Organise", - "section": "2.2 where is here?", - "text": "2.2 where is here?\nOnce you have set up a project to contain your analysis, you can avoid further file path drama by using the here() package. This package makes it super easy to refer to file paths and ensures that your code will work, even if someone else is trying to run it on a different computer.\nOnce you have installed the here() package, use it to tell R where you find your data like this. This code chunk loads there here() and readr() packages and then tells R to read in a csv file, located in the “data” folder, and the file is called file.csv\n\nmydata <- read_csv(here(\"data\", \"file.csv\"))\n\nBy referring to the location of your data using the here() package, here is no need worry about working directories, and you can be sure that your code will work on any machine.\n\nTo read more about why projects and the here() package are useful, check out this blog by Jenny Bryan", - "crumbs": [ - "2  Organise" - ] - }, - { - "objectID": "organise.html#folder-structure", - "href": "organise.html#folder-structure", - "title": "2  Organise", - "section": "2.3 folder structure", - "text": "2.3 folder structure\nOnce you have your project set up, you might like to think about imposing some structure on it. It is mostly personal preference, but many analysis projects include the following folders.\n\ndata\n\nraw-data\nclean-data\n\noutput\n\nfigures\ntables\n\nmanuscript\n\nYou always want to keep your raw data untouched and separate from any data that you write back to your machine after your data cleaning process, so a raw-data subfolder can be useful.\nIn addition, you might want to organise your figures and tables into an output folder and put any writing that you are doing in the manuscripts folder.\n\nIf you want to write a manuscript (or maybe your whole thesis!) using RMarkdown, check out the papaja (Preparing APA Journal Articles) package\n\nUsually the scripts (or R Markdown) documents that you write your code in, live in the top level of your project file. In RStudio, your project structure might look something like this.\n\n\n\nA project structure template", - "crumbs": [ - "2  Organise" - ] - }, - { - "objectID": "organise.html#naming-things", - "href": "organise.html#naming-things", - "title": "2  Organise", - "section": "2.4 naming things", - "text": "2.4 naming things\nWhen naming things in your analysis folder, it is a good idea to think about your future self. In all likelihood, when you come back to this analysis in a few months time, you will have no recollection how it actually worked, but you can leave yourself some breadcrumbs by being a bit intentional about naming things.\nYour file names should be meaningful and orderly. The name of each file should tell the new user (or future you) what is in the file and where it goes in the process.\n\ncleaning-functions.R\n1_wrangle.Rmd\n2_visualise.Rmd\n3_analyse.Rmd\n\nIn this project, I can tell by glancing at the file names that I have a script (.R) that contains functions and three R Markdown files that contain each stage of the analysis.\nSticking with lower case is a good idea; avoid special characters and use - or _ to fill any gaps.\nFind more useful naming tips in the Tidyverse Style guide.", - "crumbs": [ - "2  Organise" - ] - }, - { - "objectID": "organise.html#documenting-things", - "href": "organise.html#documenting-things", - "title": "2  Organise", - "section": "2.5 documenting things", - "text": "2.5 documenting things\n\n2.5.1 README\nIn addition to the breadcrumbs that our file names leave, it is also a good idea to leave explicit notes to your future self (or someone else) in a README.md file. This is a simple text file that contains instructions for how the user should engage with your project.\nCreate a new Markdown file and save it as README.md\nUse it to leave yourself instructions that look a bit like this.\n\n\n\nAn example README file\n\n\n\n\n2.5.2 R Markdown\nIn addition to leaving your future self explicit notes about how to engage with the project generally in a README document, it is also best practice to document your code in a way that makes it really clear what the code is doing and why. For this reason, we recommend using R Markdown documents (rather than R scripts) for your analysis.\nR Markdown is a handy file format that allows you to intersperse chunks of code with notes. This kind of document makes it easy to write explanations, interpretations, and thoughts for your future self as you code. This kind of documentation makes it much more likely to be able to make sense of what you have done and why, when you come back to your analysis in a few months time.\nR Markdown documents can also be “knitted” into html, pdf, or word documents, allowing you to share your analysis (and associated thoughts) with collaborators, even if they don’t know R.\nTo get up to speed on R Markdown and how to use it, check out RLadiesSydney #RYouWithMe MarkyMark module", - "crumbs": [ - "2  Organise" - ] - }, - { - "objectID": "import.html", - "href": "import.html", - "title": "3  Import", - "section": "", - "text": "4 Packages for this chapter\nlibrary(tidyverse)\n\n── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──\n✔ dplyr 1.1.4 ✔ readr 2.1.5\n✔ forcats 1.0.0 ✔ stringr 1.5.1\n✔ ggplot2 3.5.1 ✔ tibble 3.2.1\n✔ lubridate 1.9.3 ✔ tidyr 1.3.1\n✔ purrr 1.0.2 \n── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──\n✖ dplyr::filter() masks stats::filter()\n✖ dplyr::lag() masks stats::lag()\nℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors\n\nlibrary(here)\n\nhere() starts at /Users/fontikar/Dropbox/0 - Job/r4psych\n\nlibrary(janitor)\n\n\nAttaching package: 'janitor'\n\nThe following objects are masked from 'package:stats':\n\n chisq.test, fisher.test\n\nlibrary(haven)\nlibrary(sjPlot)\n\nLearn more about sjPlot with 'browseVignettes(\"sjPlot\")'.\n\n# remotes::install_github(\"martinctc/surveytoolbox\")\nlibrary(surveytoolbox)", - "crumbs": [ - "3  Import" - ] - }, - { - "objectID": "import.html#reading-in-excel-spreadsheets", - "href": "import.html#reading-in-excel-spreadsheets", - "title": "3  Import", - "section": "4.1 Reading in Excel spreadsheets", - "text": "4.1 Reading in Excel spreadsheets\nThis is gobbledygook.\n\n4.1.1 Reading in .csv", - "crumbs": [ - "3  Import" - ] - }, - { - "objectID": "import.html#reading-in-spss", - "href": "import.html#reading-in-spss", - "title": "3  Import", - "section": "4.2 Reading in SPSS", - "text": "4.2 Reading in SPSS", - "crumbs": [ - "3  Import" - ] - }, - { - "objectID": "import.html#reading-in-qualtrics-data", - "href": "import.html#reading-in-qualtrics-data", - "title": "3  Import", - "section": "4.3 Reading in Qualtrics data", - "text": "4.3 Reading in Qualtrics data\n\n4.3.1 Reading in .sav", - "crumbs": [ - "3  Import" - ] - }, - { - "objectID": "wrangle.html", - "href": "wrangle.html", - "title": "4  Wrangle", - "section": "", - "text": "4.1 Clean names", - "crumbs": [ - "4  Wrangle" - ] - }, - { - "objectID": "wrangle.html#dealing-with-labels", - "href": "wrangle.html#dealing-with-labels", - "title": "4  Wrangle", - "section": "4.2 Dealing with labels", - "text": "4.2 Dealing with labels", - "crumbs": [ - "4  Wrangle" - ] - }, - { - "objectID": "wrangle.html#exclusions", - "href": "wrangle.html#exclusions", - "title": "4  Wrangle", - "section": "4.3 Exclusions", - "text": "4.3 Exclusions\nmutate case_when\nfilter", - "crumbs": [ - "4  Wrangle" - ] - }, - { - "objectID": "wrangle.html#creating-scales-and-indexes", - "href": "wrangle.html#creating-scales-and-indexes", - "title": "4  Wrangle", - "section": "4.4 Creating scales and indexes", - "text": "4.4 Creating scales and indexes\ngroup_by summarise\nrow_wise mutate\n\n4.4.1 Checking reliabilty", - "crumbs": [ - "4  Wrangle" - ] - }, - { - "objectID": "describe.html", - "href": "describe.html", - "title": "5  Describe", - "section": "", - "text": "5.1 getting a feel for your data\nstr\nglimpse\nskimr", - "crumbs": [ - "5  Describe" - ] - }, - { - "objectID": "describe.html#counting-things", - "href": "describe.html#counting-things", - "title": "5  Describe", - "section": "5.2 counting things", - "text": "5.2 counting things\ngroup_by + summarise + count\nn\ntabyl", - "crumbs": [ - "5  Describe" - ] - }, - { - "objectID": "describe.html#getting-descriptives", - "href": "describe.html#getting-descriptives", - "title": "5  Describe", - "section": "5.3 getting descriptives", - "text": "5.3 getting descriptives\ngroup_by + summarise + mean & sd\n\nscale1_by_condition12 <- data_scalescomputed %>%\n group_by(condition12) %>%\n summarise(mean_scale1 = mean(scale1_index, na.rm = TRUE),\n sd_scale1 = sd(scale1_index, na.rm = TRUE))\n\n\n5.3.1 Three things to remember\n\nWhen we compute means, we need to set the decimals via round().\nWe also need to tell R to calculate the mean, even if some of the contributing data points are missing. This is what na.rm = TRUE does.\nAs noted above, rowwise asks R to do something for each row (which is what we want here – to compute the mean of the contributing items for each participant). Whenever we use rowwise (or group_by), we need to ungroup() at the end to avoid issues down the line.", - "crumbs": [ - "5  Describe" - ] - }, - { - "objectID": "describe.html#tables", - "href": "describe.html#tables", - "title": "5  Describe", - "section": "5.4 tables??", - "text": "5.4 tables??\ngt\n\ngt(scale1_by_condition12)\n\napaTable", - "crumbs": [ - "5  Describe" - ] - }, - { - "objectID": "plot.html", - "href": "plot.html", - "title": "6  Plot", - "section": "", - "text": "6.1 Plotting raw data\ngeom_point\ngeom_histogram\ngeom_boxplot\ngeom_violin", - "crumbs": [ - "6  Plot" - ] - }, - { - "objectID": "plot.html#plotting-data-summaries", - "href": "plot.html#plotting-data-summaries", - "title": "6  Plot", - "section": "6.2 Plotting data summaries", - "text": "6.2 Plotting data summaries\ngeom_col", - "crumbs": [ - "6  Plot" - ] - }, - { - "objectID": "inferences.html", - "href": "inferences.html", - "title": "7  Infer", - "section": "", - "text": "8 Moving into analyses", - "crumbs": [ - "7  Infer" - ] - }, - { - "objectID": "inferences.html#plots-and-descriptives", - "href": "inferences.html#plots-and-descriptives", - "title": "7  Infer", - "section": "8.1 Plots and descriptives", - "text": "8.1 Plots and descriptives\nNow, let’s test whether this scale varies by condition (condition 1 vs. condition 2 in condition12).\nBefore jumping into t-tests, let’s first visualise the data (scale1_index) to get a sense of what it looks like.\nThe first command here tells R to treat condition12 as a categorical variable that groups the data (technically, a factor). This is helpful for plotting. The code uses the dataframe$variablename structure to do a command on just one variable.\nThe second command pipes the data into a command to create a boxplot (geom_boxplot) with the datapoints plotted as well (geom_jitter).The width command makes the plotting of the dots a bit narrower to help with interpretation.\n\ndata_scalescomputed$condition12 <- as.factor(data_scalescomputed$condition12)\n\ndata_scalescomputed %>%\n ggplot(aes(x = condition12, y = scale1_index, fill = condition12)) +\n geom_boxplot(alpha = .5) +\n geom_jitter(alpha = .5, width = 0.2)\n\nBased on the boxplot, we’d expect a t-test to be nonsignificant - the wide boxes of the plots for each condition overlap, even though the mean of condition 2 is slightly higher than condition 1 (the horizontal line through the box).", - "crumbs": [ - "7  Infer" - ] - }, - { - "objectID": "inferences.html#t-test", - "href": "inferences.html#t-test", - "title": "7  Infer", - "section": "8.2 t-test", - "text": "8.2 t-test\nThe first line of code uses the base R command to run a t-test. It tells R to do the test on the data_scalescomputed data frame, asking whether scale1_index varies by (~) condition. var. sets the assumption of variance and conf.level sets the desired alpha of the test. That command is wrapped in the handy t_apa function, which makes the output much easier to read (and pull directly into a write-up!), and also allows us to get a confidence interval on the effect size (es_ci).\nFor reporting, you’d probably also want to know the means and standard deviations by condition. The next bit of code asks R to do this, using the summarise function, separately for each condition. Reminder to use na.rm here to account for any missing values.\nThe gt() command shows the requested dataframe in a nice formatting.\n\nt_apa(t.test(data = data_scalescomputed, scale1_index ~ condition12, var. = TRUE, conf.level = .95), es_ci = TRUE)\n\n\nscale1_by_condition12 <- data_scalescomputed %>%\n group_by(condition12) %>%\n summarise(mean_scale1 = mean(scale1_index, na.rm = TRUE),\n sd_scale1 = sd(scale1_index, na.rm = TRUE))\n\n\ngt(scale1_by_condition12)", - "crumbs": [ - "7  Infer" - ] - }, - { - "objectID": "contributing.html", - "href": "contributing.html", - "title": "8  Contributing", - "section": "", - "text": "8.0.1 Hello Quarto!\nThis book is built by Quarto which is an open source, cross-language publishing system that allows users to build beautiful things from blogs, to websites and books!\nYou can learn more about the capabilities of Quarto in this talk by Mine Çetinkaya-Rundel & Julia Stewart Lowndes at posit::conf(2023)", - "crumbs": [ - "8  Contributing" - ] - }, - { - "objectID": "contributing.html#book-structure", - "href": "contributing.html#book-structure", - "title": "8  Contributing", - "section": "8.1 Book Structure", - "text": "8.1 Book Structure", - "crumbs": [ - "8  Contributing" - ] - }, - { - "objectID": "contributing.html#book-practices-and-conventions", - "href": "contributing.html#book-practices-and-conventions", - "title": "8  Contributing", - "section": "8.2 Book Practices and Conventions", - "text": "8.2 Book Practices and Conventions", - "crumbs": [ - "8  Contributing" - ] - }, - { - "objectID": "contributing.html#book-contributions", - "href": "contributing.html#book-contributions", - "title": "8  Contributing", - "section": "8.3 Book Contributions", - "text": "8.3 Book Contributions\n\n8.3.1 Edits\n\n\n8.3.2 Additions", - "crumbs": [ - "8  Contributing" - ] - }, - { - "objectID": "contributing.html#submit-a-pull-request", - "href": "contributing.html#submit-a-pull-request", - "title": "8  Contributing", - "section": "8.4 Submit a pull request", - "text": "8.4 Submit a pull request", - "crumbs": [ - "8  Contributing" - ] - }, - { - "objectID": "appendix.html", - "href": "appendix.html", - "title": "10  Appendix", - "section": "", - "text": "11 how to install R and RStudio on your machine\nThe marvellous Danielle Navarro has LOTS of useful R learning resources on her YouTube channel. This playlist about how to install R and RStudio is particularly useful; no matter which operating system you are dealing with… Dani has you covered.", - "crumbs": [ - "10  Appendix" - ] - }, - { - "objectID": "appendix.html#option-1", - "href": "appendix.html#option-1", - "title": "10  Appendix", - "section": "12.1 option 1", - "text": "12.1 option 1\nInstall a package by typing the following command with the name of the package you would like to install in the console.\ninstall.packages(\"packagename\")", - "crumbs": [ - "10  Appendix" - ] - }, - { - "objectID": "appendix.html#option-2", - "href": "appendix.html#option-2", - "title": "10  Appendix", - "section": "12.2 option 2", - "text": "12.2 option 2\nAlternatively, search for the package you would like to install in the packages tab.\n\n\n\nYou can search for packages and install them from CRAN via the packages tab\n\n\n\nRemember once you have installed a package, you will need to use the library() function to load it before it will work.", - "crumbs": [ - "10  Appendix" - ] - }, - { - "objectID": "appendix.html#useful-packages-for-psychology", - "href": "appendix.html#useful-packages-for-psychology", - "title": "10  Appendix", - "section": "12.3 useful packages for psychology", - "text": "12.3 useful packages for psychology\n\ntidyverse this is a cluster of super helpful data wrangling and visualisation tools.\nhere this package helps direct R to the correct place for files based on the current working directory.\njanitor this package helps us clean up data - especially awkward variable names.\nqualtRics this package is helpful in reading in data files from Qualtrics… except for .sav SPSS format files! (see next)\nhaven this package is a good one for reading in .sav SPSS format files\nsjplot this package is helpful for making a ‘codebook’ of your variables and values from imported .sav files\nsurveytoolbox this package is helpful in drawing out the value labels of variables imported in .sav format – note: because surveytoolbox is on github and not CRAN, you’ll want to do the following two steps in the console. Note that we do this in the console since we only need to do it once! If the install asks you about updating packages, go ahead and do it! —(1) install the devtools package: install.packages(“devtools”) —(2) install via github: devtools::install_github(“martinctc/surveytoolbox”)\nufs this package (short for user friendly science) is a nice tool for computing the internal reliability of scales – note: one of the commands we will use in ufs requires the psych package to be installed (but doesn’t need to be loaded via library()). Ensure you install that first. Two steps: —-(1) install the `remotes`` package: install.packages(“remotes”) —-(2) install via github_lab: remotes::install_gitlab(‘r-packages/ufs’)\napa nice for making statistical output into APA style\ngt nice for making your tables look pretty\napaTables makes nice APA-styled tables of correlation, ANOVA, regression etc. output\nreport is a package to help with results reporting\npsych is an umbrella package for lots of common psych tasks\nez is a great package for stats, including analysis of variance\nemmeans is helpful for comparing specific means in a factorial design", - "crumbs": [ - "10  Appendix" - ] - }, - { - "objectID": "contributing.html#sec-bookstructure", - "href": "contributing.html#sec-bookstructure", - "title": "8  Contributing", - "section": "8.1 Book Structure", - "text": "8.1 Book Structure", - "crumbs": [ - "8  Contributing" - ] - } -] \ No newline at end of file diff --git a/docs/site_libs/bootstrap/bootstrap-icons.css 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.navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-md .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-md .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-md .navbar-nav-scroll{overflow:visible}.navbar-expand-md .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-md .navbar-toggler{display:none}.navbar-expand-md .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:rgba(0,0,0,0) !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-md .offcanvas .offcanvas-header{display:none}.navbar-expand-md .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}@media(min-width: 992px){.navbar-expand-lg{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-lg .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-lg .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-lg .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-lg .navbar-nav-scroll{overflow:visible}.navbar-expand-lg .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-lg .navbar-toggler{display:none}.navbar-expand-lg .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:rgba(0,0,0,0) !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-lg .offcanvas .offcanvas-header{display:none}.navbar-expand-lg .offcanvas 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.offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:rgba(0,0,0,0) !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-xxl .offcanvas .offcanvas-header{display:none}.navbar-expand-xxl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}.navbar-expand{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand .navbar-nav .dropdown-menu{position:absolute}.navbar-expand .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand .navbar-nav-scroll{overflow:visible}.navbar-expand .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand .navbar-toggler{display:none}.navbar-expand .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:rgba(0,0,0,0) !important;border:0 !important;transform:none !important;transition:none}.navbar-expand .offcanvas .offcanvas-header{display:none}.navbar-expand .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}.navbar-dark,.navbar[data-bs-theme=dark]{--bs-navbar-color: #545555;--bs-navbar-hover-color: rgba(31, 78, 182, 0.8);--bs-navbar-disabled-color: rgba(84, 85, 85, 0.75);--bs-navbar-active-color: #1f4eb6;--bs-navbar-brand-color: #545555;--bs-navbar-brand-hover-color: #1f4eb6;--bs-navbar-toggler-border-color: rgba(84, 85, 85, 0);--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 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var(--bs-card-spacer-x);color:var(--bs-card-color)}.card-title{margin-bottom:var(--bs-card-title-spacer-y);color:var(--bs-card-title-color)}.card-subtitle{margin-top:calc(-0.5*var(--bs-card-title-spacer-y));margin-bottom:0;color:var(--bs-card-subtitle-color)}.card-text:last-child{margin-bottom:0}.card-link+.card-link{margin-left:var(--bs-card-spacer-x)}.card-header{padding:var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);margin-bottom:0;color:var(--bs-card-cap-color);background-color:var(--bs-card-cap-bg);border-bottom:var(--bs-card-border-width) solid var(--bs-card-border-color)}.card-footer{padding:var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);color:var(--bs-card-cap-color);background-color:var(--bs-card-cap-bg);border-top:var(--bs-card-border-width) solid 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viewBox='0 0 16 16' fill='%2310335b'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-focus-border-color: #93c0f1;--bs-accordion-btn-focus-box-shadow: 0 0 0 0.25rem rgba(39, 128, 227, 0.25);--bs-accordion-body-padding-x: 1.25rem;--bs-accordion-body-padding-y: 1rem;--bs-accordion-active-color: #10335b;--bs-accordion-active-bg: #d4e6f9}.accordion-button{position:relative;display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;width:100%;padding:var(--bs-accordion-btn-padding-y) var(--bs-accordion-btn-padding-x);font-size:1rem;color:var(--bs-accordion-btn-color);text-align:left;background-color:var(--bs-accordion-btn-bg);border:0;overflow-anchor:none;transition:var(--bs-accordion-transition)}@media(prefers-reduced-motion: reduce){.accordion-button{transition:none}}.accordion-button:not(.collapsed){color:var(--bs-accordion-active-color);background-color:var(--bs-accordion-active-bg);box-shadow:inset 0 calc(-1*var(--bs-accordion-border-width)) 0 var(--bs-accordion-border-color)}.accordion-button:not(.collapsed)::after{background-image:var(--bs-accordion-btn-active-icon);transform:var(--bs-accordion-btn-icon-transform)}.accordion-button::after{flex-shrink:0;-webkit-flex-shrink:0;width:var(--bs-accordion-btn-icon-width);height:var(--bs-accordion-btn-icon-width);margin-left:auto;content:"";background-image:var(--bs-accordion-btn-icon);background-repeat:no-repeat;background-size:var(--bs-accordion-btn-icon-width);transition:var(--bs-accordion-btn-icon-transition)}@media(prefers-reduced-motion: reduce){.accordion-button::after{transition:none}}.accordion-button:hover{z-index:2}.accordion-button:focus{z-index:3;border-color:var(--bs-accordion-btn-focus-border-color);outline:0;box-shadow:var(--bs-accordion-btn-focus-box-shadow)}.accordion-header{margin-bottom:0}.accordion-item{color:var(--bs-accordion-color);background-color:var(--bs-accordion-bg);border:var(--bs-accordion-border-width) solid var(--bs-accordion-border-color)}.accordion-item:not(:first-of-type){border-top:0}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}[data-bs-theme=dark] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%237db3ee'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%237db3ee'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e")}.breadcrumb{--bs-breadcrumb-padding-x: 0;--bs-breadcrumb-padding-y: 0;--bs-breadcrumb-margin-bottom: 1rem;--bs-breadcrumb-bg: ;--bs-breadcrumb-border-radius: ;--bs-breadcrumb-divider-color: rgba(52, 58, 64, 0.75);--bs-breadcrumb-item-padding-x: 0.5rem;--bs-breadcrumb-item-active-color: rgba(52, 58, 64, 0.75);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding:var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, ">") /* rtl: var(--bs-breadcrumb-divider, ">") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: 0.75rem;--bs-pagination-padding-y: 0.375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: #2761e3;--bs-pagination-bg: #fff;--bs-pagination-border-width: 1px;--bs-pagination-border-color: #dee2e6;--bs-pagination-border-radius: 0.25rem;--bs-pagination-hover-color: #1f4eb6;--bs-pagination-hover-bg: #f8f9fa;--bs-pagination-hover-border-color: #dee2e6;--bs-pagination-focus-color: #1f4eb6;--bs-pagination-focus-bg: #e9ecef;--bs-pagination-focus-box-shadow: 0 0 0 0.25rem rgba(39, 128, 227, 0.25);--bs-pagination-active-color: #fff;--bs-pagination-active-bg: #2780e3;--bs-pagination-active-border-color: #2780e3;--bs-pagination-disabled-color: rgba(52, 58, 64, 0.75);--bs-pagination-disabled-bg: #e9ecef;--bs-pagination-disabled-border-color: #dee2e6;display:flex;display:-webkit-flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color .15s ease-in-out,background-color .15s ease-in-out,border-color .15s ease-in-out,box-shadow .15s ease-in-out}@media(prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(1px*-1)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: 0.75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: 0.5rem}.pagination-sm{--bs-pagination-padding-x: 0.5rem;--bs-pagination-padding-y: 0.25rem;--bs-pagination-font-size:0.875rem;--bs-pagination-border-radius: 0.2em}.badge{--bs-badge-padding-x: 0.65em;--bs-badge-padding-y: 0.35em;--bs-badge-font-size:0.75em;--bs-badge-font-weight: 700;--bs-badge-color: #fff;--bs-badge-border-radius: 0.25rem;display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: 0 solid var(--bs-alert-border-color);--bs-alert-border-radius: 0.25rem;--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: var(--bs-default-text-emphasis);--bs-alert-bg: var(--bs-default-bg-subtle);--bs-alert-border-color: var(--bs-default-border-subtle);--bs-alert-link-color: var(--bs-default-text-emphasis)}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:.5rem}}.progress,.progress-stacked{--bs-progress-height: 0.5rem;--bs-progress-font-size:0.75rem;--bs-progress-bg: #e9ecef;--bs-progress-border-radius: 0.25rem;--bs-progress-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.075);--bs-progress-bar-color: #fff;--bs-progress-bar-bg: #2780e3;--bs-progress-bar-transition: width 0.6s ease;display:flex;display:-webkit-flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg)}.progress-bar{display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;justify-content:center;-webkit-justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media(prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media(prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: #343a40;--bs-list-group-bg: #fff;--bs-list-group-border-color: #dee2e6;--bs-list-group-border-width: 1px;--bs-list-group-border-radius: 0.25rem;--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: 0.5rem;--bs-list-group-action-color: rgba(52, 58, 64, 0.75);--bs-list-group-action-hover-color: #000;--bs-list-group-action-hover-bg: #f8f9fa;--bs-list-group-action-active-color: #343a40;--bs-list-group-action-active-bg: #e9ecef;--bs-list-group-disabled-color: rgba(52, 58, 64, 0.75);--bs-list-group-disabled-bg: #fff;--bs-list-group-active-color: #fff;--bs-list-group-active-bg: #2780e3;--bs-list-group-active-border-color: #2780e3;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;padding-left:0;margin-bottom:0}.list-group-numbered{list-style-type:none;counter-reset:section}.list-group-numbered>.list-group-item::before{content:counters(section, ".") ". ";counter-increment:section}.list-group-item-action{width:100%;color:var(--bs-list-group-action-color);text-align:inherit}.list-group-item-action:hover,.list-group-item-action:focus{z-index:1;color:var(--bs-list-group-action-hover-color);text-decoration:none;background-color:var(--bs-list-group-action-hover-bg)}.list-group-item-action:active{color:var(--bs-list-group-action-active-color);background-color:var(--bs-list-group-action-active-bg)}.list-group-item{position:relative;display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);color:var(--bs-list-group-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid var(--bs-list-group-border-color)}.list-group-item.disabled,.list-group-item:disabled{color:var(--bs-list-group-disabled-color);pointer-events:none;background-color:var(--bs-list-group-disabled-bg)}.list-group-item.active{z-index:2;color:var(--bs-list-group-active-color);background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color)}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{margin-top:calc(-1*var(--bs-list-group-border-width));border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}@media(min-width: 576px){.list-group-horizontal-sm{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 768px){.list-group-horizontal-md{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 992px){.list-group-horizontal-lg{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 1200px){.list-group-horizontal-xl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 1400px){.list-group-horizontal-xxl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xxl>.list-group-item.active{margin-top:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}.list-group-flush>.list-group-item{border-width:0 0 var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-default{--bs-list-group-color: var(--bs-default-text-emphasis);--bs-list-group-bg: var(--bs-default-bg-subtle);--bs-list-group-border-color: var(--bs-default-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-default-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-default-border-subtle);--bs-list-group-active-color: var(--bs-default-bg-subtle);--bs-list-group-active-bg: var(--bs-default-text-emphasis);--bs-list-group-active-border-color: var(--bs-default-text-emphasis)}.list-group-item-primary{--bs-list-group-color: var(--bs-primary-text-emphasis);--bs-list-group-bg: var(--bs-primary-bg-subtle);--bs-list-group-border-color: var(--bs-primary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-primary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-primary-border-subtle);--bs-list-group-active-color: var(--bs-primary-bg-subtle);--bs-list-group-active-bg: var(--bs-primary-text-emphasis);--bs-list-group-active-border-color: var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color: var(--bs-secondary-text-emphasis);--bs-list-group-bg: var(--bs-secondary-bg-subtle);--bs-list-group-border-color: var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-secondary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-secondary-border-subtle);--bs-list-group-active-color: var(--bs-secondary-bg-subtle);--bs-list-group-active-bg: var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color: var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color: var(--bs-success-text-emphasis);--bs-list-group-bg: var(--bs-success-bg-subtle);--bs-list-group-border-color: var(--bs-success-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-success-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-success-border-subtle);--bs-list-group-active-color: var(--bs-success-bg-subtle);--bs-list-group-active-bg: var(--bs-success-text-emphasis);--bs-list-group-active-border-color: var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color: var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-info-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-info-border-subtle);--bs-list-group-active-color: var(--bs-info-bg-subtle);--bs-list-group-active-bg: var(--bs-info-text-emphasis);--bs-list-group-active-border-color: var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color: var(--bs-warning-text-emphasis);--bs-list-group-bg: var(--bs-warning-bg-subtle);--bs-list-group-border-color: var(--bs-warning-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-warning-border-subtle);--bs-list-group-active-color: var(--bs-warning-bg-subtle);--bs-list-group-active-bg: var(--bs-warning-text-emphasis);--bs-list-group-active-border-color: var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: 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var(--bg-gradient-start, 36%), #3fb618 var(--bg-gradient-end, 180%)) #757b7a;color:#fff}.bg-gradient-cyan-teal{--bslib-color-fg: #fff;--bslib-color-bg: #6983ad;background:linear-gradient(var(--bg-gradient-deg, 140deg), #9954bb var(--bg-gradient-start, 36%), #20c997 var(--bg-gradient-end, 180%)) #6983ad;color:#fff}:root{--bslib-value-box-shadow: none;--bslib-value-box-border-width-auto-yes: var(--bslib-value-box-border-width-baseline);--bslib-value-box-border-width-auto-no: 0;--bslib-value-box-border-width-baseline: 1px}.bslib-value-box{border-width:var(--bslib-value-box-border-width-auto-no, var(--bslib-value-box-border-width-baseline));container-name:bslib-value-box;container-type:inline-size}.bslib-value-box.card{box-shadow:var(--bslib-value-box-shadow)}.bslib-value-box.border-auto{border-width:var(--bslib-value-box-border-width-auto-yes, var(--bslib-value-box-border-width-baseline))}.bslib-value-box.default{--bslib-value-box-bg-default: var(--bs-card-bg, #fff);--bslib-value-box-border-color-default: var(--bs-card-border-color, rgba(0, 0, 0, 0.175));color:var(--bslib-value-box-color);background-color:var(--bslib-value-box-bg, var(--bslib-value-box-bg-default));border-color:var(--bslib-value-box-border-color, var(--bslib-value-box-border-color-default))}.bslib-value-box .value-box-grid{display:grid;grid-template-areas:"left right";align-items:center;overflow:hidden}.bslib-value-box .value-box-showcase{height:100%;max-height:var(---bslib-value-box-showcase-max-h, 100%)}.bslib-value-box .value-box-showcase,.bslib-value-box .value-box-showcase>.html-fill-item{width:100%}.bslib-value-box[data-full-screen=true] .value-box-showcase{max-height:var(---bslib-value-box-showcase-max-h-fs, 100%)}@media screen and (min-width: 575.98px){@container bslib-value-box (max-width: 300px){.bslib-value-box:not(.showcase-bottom) .value-box-grid{grid-template-columns:1fr !important;grid-template-rows:auto auto;grid-template-areas:"top" "bottom"}.bslib-value-box:not(.showcase-bottom) .value-box-grid .value-box-showcase{grid-area:top !important}.bslib-value-box:not(.showcase-bottom) .value-box-grid .value-box-area{grid-area:bottom !important;justify-content:end}}}.bslib-value-box .value-box-area{justify-content:center;padding:1.5rem 1rem;font-size:.9rem;font-weight:500}.bslib-value-box .value-box-area *{margin-bottom:0;margin-top:0}.bslib-value-box .value-box-title{font-size:1rem;margin-top:0;margin-bottom:.5rem;font-weight:400;line-height:1.2}.bslib-value-box .value-box-title:empty::after{content:" "}.bslib-value-box .value-box-value{font-size:calc(1.29rem + 0.48vw);margin-top:0;margin-bottom:.5rem;font-weight:400;line-height:1.2}@media(min-width: 1200px){.bslib-value-box .value-box-value{font-size:1.65rem}}.bslib-value-box .value-box-value:empty::after{content:" "}.bslib-value-box .value-box-showcase{align-items:center;justify-content:center;margin-top:auto;margin-bottom:auto;padding:1rem}.bslib-value-box .value-box-showcase .bi,.bslib-value-box .value-box-showcase .fa,.bslib-value-box .value-box-showcase .fab,.bslib-value-box .value-box-showcase .fas,.bslib-value-box .value-box-showcase .far{opacity:.85;min-width:50px;max-width:125%}.bslib-value-box .value-box-showcase .bi,.bslib-value-box .value-box-showcase .fa,.bslib-value-box .value-box-showcase .fab,.bslib-value-box .value-box-showcase .fas,.bslib-value-box .value-box-showcase .far{font-size:4rem}.bslib-value-box.showcase-top-right .value-box-grid{grid-template-columns:1fr var(---bslib-value-box-showcase-w, 50%)}.bslib-value-box.showcase-top-right .value-box-grid .value-box-showcase{grid-area:right;margin-left:auto;align-self:start;align-items:end;padding-left:0;padding-bottom:0}.bslib-value-box.showcase-top-right .value-box-grid .value-box-area{grid-area:left;align-self:end}.bslib-value-box.showcase-top-right[data-full-screen=true] .value-box-grid{grid-template-columns:auto var(---bslib-value-box-showcase-w-fs, 1fr)}.bslib-value-box.showcase-top-right[data-full-screen=true] .value-box-grid>div{align-self:center}.bslib-value-box.showcase-top-right:not([data-full-screen=true]) .value-box-showcase{margin-top:0}@container bslib-value-box (max-width: 300px){.bslib-value-box.showcase-top-right:not([data-full-screen=true]) .value-box-grid .value-box-showcase{padding-left:1rem}}.bslib-value-box.showcase-left-center .value-box-grid{grid-template-columns:var(---bslib-value-box-showcase-w, 30%) auto}.bslib-value-box.showcase-left-center[data-full-screen=true] .value-box-grid{grid-template-columns:var(---bslib-value-box-showcase-w-fs, 1fr) auto}.bslib-value-box.showcase-left-center:not([data-fill-screen=true]) .value-box-grid .value-box-showcase{grid-area:left}.bslib-value-box.showcase-left-center:not([data-fill-screen=true]) .value-box-grid .value-box-area{grid-area:right}.bslib-value-box.showcase-bottom .value-box-grid{grid-template-columns:1fr;grid-template-rows:1fr var(---bslib-value-box-showcase-h, auto);grid-template-areas:"top" "bottom";overflow:hidden}.bslib-value-box.showcase-bottom .value-box-grid .value-box-showcase{grid-area:bottom;padding:0;margin:0}.bslib-value-box.showcase-bottom .value-box-grid .value-box-area{grid-area:top}.bslib-value-box.showcase-bottom[data-full-screen=true] .value-box-grid{grid-template-rows:1fr var(---bslib-value-box-showcase-h-fs, 2fr)}.bslib-value-box.showcase-bottom[data-full-screen=true] .value-box-grid .value-box-showcase{padding:1rem}[data-bs-theme=dark] .bslib-value-box{--bslib-value-box-shadow: 0 0.5rem 1rem rgb(0 0 0 / 50%)}@media(min-width: 576px){.nav:not(.nav-hidden){display:flex !important;display:-webkit-flex !important}.nav:not(.nav-hidden):not(.nav-stacked):not(.flex-column){float:none !important}.nav:not(.nav-hidden):not(.nav-stacked):not(.flex-column)>.bslib-nav-spacer{margin-left:auto !important}.nav:not(.nav-hidden):not(.nav-stacked):not(.flex-column)>.form-inline{margin-top:auto;margin-bottom:auto}.nav:not(.nav-hidden).nav-stacked{flex-direction:column;-webkit-flex-direction:column;height:100%}.nav:not(.nav-hidden).nav-stacked>.bslib-nav-spacer{margin-top:auto !important}}.bslib-card{overflow:auto}.bslib-card .card-body+.card-body{padding-top:0}.bslib-card .card-body{overflow:auto}.bslib-card .card-body p{margin-top:0}.bslib-card .card-body p:last-child{margin-bottom:0}.bslib-card .card-body{max-height:var(--bslib-card-body-max-height, none)}.bslib-card[data-full-screen=true]>.card-body{max-height:var(--bslib-card-body-max-height-full-screen, none)}.bslib-card .card-header .form-group{margin-bottom:0}.bslib-card .card-header .selectize-control{margin-bottom:0}.bslib-card .card-header .selectize-control .item{margin-right:1.15rem}.bslib-card .card-footer{margin-top:auto}.bslib-card .bslib-navs-card-title{display:flex;flex-wrap:wrap;justify-content:space-between;align-items:center}.bslib-card .bslib-navs-card-title .nav{margin-left:auto}.bslib-card .bslib-sidebar-layout:not([data-bslib-sidebar-border=true]){border:none}.bslib-card .bslib-sidebar-layout:not([data-bslib-sidebar-border-radius=true]){border-top-left-radius:0;border-top-right-radius:0}[data-full-screen=true]{position:fixed;inset:3.5rem 1rem 1rem;height:auto !important;max-height:none !important;width:auto !important;z-index:1070}.bslib-full-screen-enter{display:none;position:absolute;bottom:var(--bslib-full-screen-enter-bottom, 0.2rem);right:var(--bslib-full-screen-enter-right, 0);top:var(--bslib-full-screen-enter-top);left:var(--bslib-full-screen-enter-left);color:var(--bslib-color-fg, var(--bs-card-color));background-color:var(--bslib-color-bg, var(--bs-card-bg, var(--bs-body-bg)));border:var(--bs-card-border-width) solid var(--bslib-color-fg, var(--bs-card-border-color));box-shadow:0 2px 4px rgba(0,0,0,.15);margin:.2rem .4rem;padding:.55rem !important;font-size:.8rem;cursor:pointer;opacity:.7;z-index:1070}.bslib-full-screen-enter:hover{opacity:1}.card[data-full-screen=false]:hover>*>.bslib-full-screen-enter{display:block}.bslib-has-full-screen .card:hover>*>.bslib-full-screen-enter{display:none}@media(max-width: 575.98px){.bslib-full-screen-enter{display:none !important}}.bslib-full-screen-exit{position:relative;top:1.35rem;font-size:.9rem;cursor:pointer;text-decoration:none;display:flex;float:right;margin-right:2.15rem;align-items:center;color:rgba(var(--bs-body-bg-rgb), 0.8)}.bslib-full-screen-exit:hover{color:rgba(var(--bs-body-bg-rgb), 1)}.bslib-full-screen-exit svg{margin-left:.5rem;font-size:1.5rem}#bslib-full-screen-overlay{position:fixed;inset:0;background-color:rgba(var(--bs-body-color-rgb), 0.6);backdrop-filter:blur(2px);-webkit-backdrop-filter:blur(2px);z-index:1069;animation:bslib-full-screen-overlay-enter 400ms cubic-bezier(0.6, 0.02, 0.65, 1) 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t}))){T=O,E=!1;break}A.set(O,N)}if(E)for(var P=function(t){var e=v.find((function(e){var i=A.get(e);if(i)return i.slice(0,t).every((function(t){return t}))}));if(e)return T=e,"break"},M=p?3:1;M>0&&"break"!==P(M);M--);e.placement!==T&&(e.modifiersData[n]._skip=!0,e.placement=T,e.reset=!0)}},requiresIfExists:["offset"],data:{_skip:!1}};function oi(t,e,i){return void 0===i&&(i={x:0,y:0}),{top:t.top-e.height-i.y,right:t.right-e.width+i.x,bottom:t.bottom-e.height+i.y,left:t.left-e.width-i.x}}function ri(t){return[zt,qt,Rt,Vt].some((function(e){return t[e]>=0}))}const ai={name:"hide",enabled:!0,phase:"main",requiresIfExists:["preventOverflow"],fn:function(t){var 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m?m(Object.assign({},e.rects,{placement:e.placement})):m,O="number"==typeof C?{mainAxis:C,altAxis:C}:Object.assign({mainAxis:0,altAxis:0},C),x=e.modifiersData.offset?e.modifiersData.offset[e.placement]:null,k={x:0,y:0};if(A){if(o){var L,S="y"===y?zt:Vt,D="y"===y?Rt:qt,$="y"===y?"height":"width",I=A[y],N=I+g[S],P=I-g[D],M=f?-T[$]/2:0,j=b===Xt?E[$]:T[$],F=b===Xt?-T[$]:-E[$],H=e.elements.arrow,W=f&&H?Ce(H):{width:0,height:0},B=e.modifiersData["arrow#persistent"]?e.modifiersData["arrow#persistent"].padding:{top:0,right:0,bottom:0,left:0},z=B[S],R=B[D],q=Ne(0,E[$],W[$]),V=v?E[$]/2-M-q-z-O.mainAxis:j-q-z-O.mainAxis,K=v?-E[$]/2+M+q+R+O.mainAxis:F+q+R+O.mainAxis,Q=e.elements.arrow&&$e(e.elements.arrow),X=Q?"y"===y?Q.clientTop||0:Q.clientLeft||0:0,Y=null!=(L=null==x?void 0:x[y])?L:0,U=I+K-Y,G=Ne(f?ye(N,I+V-Y-X):N,I,f?ve(P,U):P);A[y]=G,k[y]=G-I}if(a){var J,Z="x"===y?zt:Vt,tt="x"===y?Rt:qt,et=A[w],it="y"===w?"height":"width",nt=et+g[Z],st=et-g[tt],ot=-1!==[zt,Vt].indexOf(_),rt=null!=(J=null==x?void 0:x[w])?J:0,at=ot?nt:et-E[it]-T[it]-rt+O.altAxis,lt=ot?et+E[it]+T[it]-rt-O.altAxis:st,ct=f&&ot?function(t,e,i){var n=Ne(t,e,i);return n>i?i:n}(at,et,lt):Ne(f?at:nt,et,f?lt:st);A[w]=ct,k[w]=ct-et}e.modifiersData[n]=k}},requiresIfExists:["offset"]};function di(t,e,i){void 0===i&&(i=!1);var n,s,o=me(e),r=me(e)&&function(t){var e=t.getBoundingClientRect(),i=we(e.width)/t.offsetWidth||1,n=we(e.height)/t.offsetHeight||1;return 1!==i||1!==n}(e),a=Le(e),l=Te(t,r,i),c={scrollLeft:0,scrollTop:0},h={x:0,y:0};return(o||!o&&!i)&&(("body"!==ue(e)||Ue(a))&&(c=(n=e)!==fe(n)&&me(n)?{scrollLeft:(s=n).scrollLeft,scrollTop:s.scrollTop}:Xe(n)),me(e)?((h=Te(e,!0)).x+=e.clientLeft,h.y+=e.clientTop):a&&(h.x=Ye(a))),{x:l.left+c.scrollLeft-h.x,y:l.top+c.scrollTop-h.y,width:l.width,height:l.height}}function ui(t){var e=new Map,i=new Set,n=[];function s(t){i.add(t.name),[].concat(t.requires||[],t.requiresIfExists||[]).forEach((function(t){if(!i.has(t)){var n=e.get(t);n&&s(n)}})),n.push(t)}return t.forEach((function(t){e.set(t.name,t)})),t.forEach((function(t){i.has(t.name)||s(t)})),n}var fi={placement:"bottom",modifiers:[],strategy:"absolute"};function pi(){for(var t=arguments.length,e=new Array(t),i=0;iNumber.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_getPopperConfig(){const t={placement:this._getPlacement(),modifiers:[{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"offset",options:{offset:this._getOffset()}}]};return(this._inNavbar||"static"===this._config.display)&&(F.setDataAttribute(this._menu,"popper","static"),t.modifiers=[{name:"applyStyles",enabled:!1}]),{...t,...g(this._config.popperConfig,[t])}}_selectMenuItem({key:t,target:e}){const i=z.find(".dropdown-menu 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e=/input|textarea/i.test(t.target.tagName),i="Escape"===t.key,n=[Ei,Ti].includes(t.key);if(!n&&!i)return;if(e&&!i)return;t.preventDefault();const s=this.matches(Ii)?this:z.prev(this,Ii)[0]||z.next(this,Ii)[0]||z.findOne(Ii,t.delegateTarget.parentNode),o=qi.getOrCreateInstance(s);if(n)return t.stopPropagation(),o.show(),void o._selectMenuItem(t);o._isShown()&&(t.stopPropagation(),o.hide(),s.focus())}}N.on(document,Si,Ii,qi.dataApiKeydownHandler),N.on(document,Si,Pi,qi.dataApiKeydownHandler),N.on(document,Li,qi.clearMenus),N.on(document,Di,qi.clearMenus),N.on(document,Li,Ii,(function(t){t.preventDefault(),qi.getOrCreateInstance(this).toggle()})),m(qi);const Vi="backdrop",Ki="show",Qi=`mousedown.bs.${Vi}`,Xi={className:"modal-backdrop",clickCallback:null,isAnimated:!1,isVisible:!0,rootElement:"body"},Yi={className:"string",clickCallback:"(function|null)",isAnimated:"boolean",isVisible:"boolean",rootElement:"(element|string)"};class Ui extends H{constructor(t){super(),this._config=this._getConfig(t),this._isAppended=!1,this._element=null}static get Default(){return Xi}static get DefaultType(){return Yi}static get NAME(){return Vi}show(t){if(!this._config.isVisible)return void g(t);this._append();const e=this._getElement();this._config.isAnimated&&d(e),e.classList.add(Ki),this._emulateAnimation((()=>{g(t)}))}hide(t){this._config.isVisible?(this._getElement().classList.remove(Ki),this._emulateAnimation((()=>{this.dispose(),g(t)}))):g(t)}dispose(){this._isAppended&&(N.off(this._element,Qi),this._element.remove(),this._isAppended=!1)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_configAfterMerge(t){return t.rootElement=r(t.rootElement),t}_append(){if(this._isAppended)return;const t=this._getElement();this._config.rootElement.append(t),N.on(t,Qi,(()=>{g(this._config.clickCallback)})),this._isAppended=!0}_emulateAnimation(t){_(t,this._getElement(),this._config.isAnimated)}}const Gi=".bs.focustrap",Ji=`focusin${Gi}`,Zi=`keydown.tab${Gi}`,tn="backward",en={autofocus:!0,trapElement:null},nn={autofocus:"boolean",trapElement:"element"};class sn extends H{constructor(t){super(),this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}static get Default(){return en}static get DefaultType(){return nn}static get NAME(){return"focustrap"}activate(){this._isActive||(this._config.autofocus&&this._config.trapElement.focus(),N.off(document,Gi),N.on(document,Ji,(t=>this._handleFocusin(t))),N.on(document,Zi,(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,N.off(document,Gi))}_handleFocusin(t){const{trapElement:e}=this._config;if(t.target===document||t.target===e||e.contains(t.target))return;const i=z.focusableChildren(e);0===i.length?e.focus():this._lastTabNavDirection===tn?i[i.length-1].focus():i[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?tn:"forward")}}const on=".fixed-top, .fixed-bottom, .is-fixed, .sticky-top",rn=".sticky-top",an="padding-right",ln="margin-right";class cn{constructor(){this._element=document.body}getWidth(){const t=document.documentElement.clientWidth;return Math.abs(window.innerWidth-t)}hide(){const t=this.getWidth();this._disableOverFlow(),this._setElementAttributes(this._element,an,(e=>e+t)),this._setElementAttributes(on,an,(e=>e+t)),this._setElementAttributes(rn,ln,(e=>e-t))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,an),this._resetElementAttributes(on,an),this._resetElementAttributes(rn,ln)}isOverflowing(){return this.getWidth()>0}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t).getPropertyValue(e);t.style.setProperty(e,`${i(Number.parseFloat(s))}px`)}))}_saveInitialAttribute(t,e){const i=t.style.getPropertyValue(e);i&&F.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=F.getDataAttribute(t,e);null!==i?(F.removeDataAttribute(t,e),t.style.setProperty(e,i)):t.style.removeProperty(e)}))}_applyManipulationCallback(t,e){if(o(t))e(t);else for(const i of z.find(t,this._element))e(i)}}const hn=".bs.modal",dn=`hide${hn}`,un=`hidePrevented${hn}`,fn=`hidden${hn}`,pn=`show${hn}`,mn=`shown${hn}`,gn=`resize${hn}`,_n=`click.dismiss${hn}`,bn=`mousedown.dismiss${hn}`,vn=`keydown.dismiss${hn}`,yn=`click${hn}.data-api`,wn="modal-open",An="show",En="modal-static",Tn={backdrop:!0,focus:!0,keyboard:!0},Cn={backdrop:"(boolean|string)",focus:"boolean",keyboard:"boolean"};class On extends W{constructor(t,e){super(t,e),this._dialog=z.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._isTransitioning=!1,this._scrollBar=new cn,this._addEventListeners()}static get Default(){return Tn}static get DefaultType(){return Cn}static get NAME(){return"modal"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||N.trigger(this._element,pn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isTransitioning=!0,this._scrollBar.hide(),document.body.classList.add(wn),this._adjustDialog(),this._backdrop.show((()=>this._showElement(t))))}hide(){this._isShown&&!this._isTransitioning&&(N.trigger(this._element,dn).defaultPrevented||(this._isShown=!1,this._isTransitioning=!0,this._focustrap.deactivate(),this._element.classList.remove(An),this._queueCallback((()=>this._hideModal()),this._element,this._isAnimated())))}dispose(){N.off(window,hn),N.off(this._dialog,hn),this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new Ui({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new sn({trapElement:this._element})}_showElement(t){document.body.contains(this._element)||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0;const e=z.findOne(".modal-body",this._dialog);e&&(e.scrollTop=0),d(this._element),this._element.classList.add(An),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,N.trigger(this._element,mn,{relatedTarget:t})}),this._dialog,this._isAnimated())}_addEventListeners(){N.on(this._element,vn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():this._triggerBackdropTransition())})),N.on(window,gn,(()=>{this._isShown&&!this._isTransitioning&&this._adjustDialog()})),N.on(this._element,bn,(t=>{N.one(this._element,_n,(e=>{this._element===t.target&&this._element===e.target&&("static"!==this._config.backdrop?this._config.backdrop&&this.hide():this._triggerBackdropTransition())}))}))}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(wn),this._resetAdjustments(),this._scrollBar.reset(),N.trigger(this._element,fn)}))}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(N.trigger(this._element,un).defaultPrevented)return;const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._element.style.overflowY;"hidden"===e||this._element.classList.contains(En)||(t||(this._element.style.overflowY="hidden"),this._element.classList.add(En),this._queueCallback((()=>{this._element.classList.remove(En),this._queueCallback((()=>{this._element.style.overflowY=e}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;if(i&&!t){const t=p()?"paddingLeft":"paddingRight";this._element.style[t]=`${e}px`}if(!i&&t){const t=p()?"paddingRight":"paddingLeft";this._element.style[t]=`${e}px`}}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=On.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}N.on(document,yn,'[data-bs-toggle="modal"]',(function(t){const e=z.getElementFromSelector(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),N.one(e,pn,(t=>{t.defaultPrevented||N.one(e,fn,(()=>{a(this)&&this.focus()}))}));const i=z.findOne(".modal.show");i&&On.getInstance(i).hide(),On.getOrCreateInstance(e).toggle(this)})),R(On),m(On);const xn=".bs.offcanvas",kn=".data-api",Ln=`load${xn}${kn}`,Sn="show",Dn="showing",$n="hiding",In=".offcanvas.show",Nn=`show${xn}`,Pn=`shown${xn}`,Mn=`hide${xn}`,jn=`hidePrevented${xn}`,Fn=`hidden${xn}`,Hn=`resize${xn}`,Wn=`click${xn}${kn}`,Bn=`keydown.dismiss${xn}`,zn={backdrop:!0,keyboard:!0,scroll:!1},Rn={backdrop:"(boolean|string)",keyboard:"boolean",scroll:"boolean"};class qn extends W{constructor(t,e){super(t,e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get Default(){return zn}static get DefaultType(){return Rn}static get NAME(){return"offcanvas"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||N.trigger(this._element,Nn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._backdrop.show(),this._config.scroll||(new cn).hide(),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add(Dn),this._queueCallback((()=>{this._config.scroll&&!this._config.backdrop||this._focustrap.activate(),this._element.classList.add(Sn),this._element.classList.remove(Dn),N.trigger(this._element,Pn,{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(N.trigger(this._element,Mn).defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.add($n),this._backdrop.hide(),this._queueCallback((()=>{this._element.classList.remove(Sn,$n),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._config.scroll||(new cn).reset(),N.trigger(this._element,Fn)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_initializeBackDrop(){const t=Boolean(this._config.backdrop);return new Ui({className:"offcanvas-backdrop",isVisible:t,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:t?()=>{"static"!==this._config.backdrop?this.hide():N.trigger(this._element,jn)}:null})}_initializeFocusTrap(){return new sn({trapElement:this._element})}_addEventListeners(){N.on(this._element,Bn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():N.trigger(this._element,jn))}))}static jQueryInterface(t){return this.each((function(){const e=qn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}N.on(document,Wn,'[data-bs-toggle="offcanvas"]',(function(t){const e=z.getElementFromSelector(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),l(this))return;N.one(e,Fn,(()=>{a(this)&&this.focus()}));const i=z.findOne(In);i&&i!==e&&qn.getInstance(i).hide(),qn.getOrCreateInstance(e).toggle(this)})),N.on(window,Ln,(()=>{for(const t of z.find(In))qn.getOrCreateInstance(t).show()})),N.on(window,Hn,(()=>{for(const t of z.find("[aria-modal][class*=show][class*=offcanvas-]"))"fixed"!==getComputedStyle(t).position&&qn.getOrCreateInstance(t).hide()})),R(qn),m(qn);const Vn={"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],div:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},Kn=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Qn=/^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i,Xn=(t,e)=>{const i=t.nodeName.toLowerCase();return e.includes(i)?!Kn.has(i)||Boolean(Qn.test(t.nodeValue)):e.filter((t=>t instanceof RegExp)).some((t=>t.test(i)))},Yn={allowList:Vn,content:{},extraClass:"",html:!1,sanitize:!0,sanitizeFn:null,template:"

"},Un={allowList:"object",content:"object",extraClass:"(string|function)",html:"boolean",sanitize:"boolean",sanitizeFn:"(null|function)",template:"string"},Gn={entry:"(string|element|function|null)",selector:"(string|element)"};class Jn extends H{constructor(t){super(),this._config=this._getConfig(t)}static get Default(){return Yn}static get DefaultType(){return Un}static get NAME(){return"TemplateFactory"}getContent(){return Object.values(this._config.content).map((t=>this._resolvePossibleFunction(t))).filter(Boolean)}hasContent(){return this.getContent().length>0}changeContent(t){return this._checkContent(t),this._config.content={...this._config.content,...t},this}toHtml(){const t=document.createElement("div");t.innerHTML=this._maybeSanitize(this._config.template);for(const[e,i]of Object.entries(this._config.content))this._setContent(t,i,e);const e=t.children[0],i=this._resolvePossibleFunction(this._config.extraClass);return i&&e.classList.add(...i.split(" ")),e}_typeCheckConfig(t){super._typeCheckConfig(t),this._checkContent(t.content)}_checkContent(t){for(const[e,i]of Object.entries(t))super._typeCheckConfig({selector:e,entry:i},Gn)}_setContent(t,e,i){const n=z.findOne(i,t);n&&((e=this._resolvePossibleFunction(e))?o(e)?this._putElementInTemplate(r(e),n):this._config.html?n.innerHTML=this._maybeSanitize(e):n.textContent=e:n.remove())}_maybeSanitize(t){return this._config.sanitize?function(t,e,i){if(!t.length)return t;if(i&&"function"==typeof i)return i(t);const n=(new window.DOMParser).parseFromString(t,"text/html"),s=[].concat(...n.body.querySelectorAll("*"));for(const t of s){const i=t.nodeName.toLowerCase();if(!Object.keys(e).includes(i)){t.remove();continue}const n=[].concat(...t.attributes),s=[].concat(e["*"]||[],e[i]||[]);for(const e of n)Xn(e,s)||t.removeAttribute(e.nodeName)}return n.body.innerHTML}(t,this._config.allowList,this._config.sanitizeFn):t}_resolvePossibleFunction(t){return g(t,[this])}_putElementInTemplate(t,e){if(this._config.html)return e.innerHTML="",void e.append(t);e.textContent=t.textContent}}const Zn=new Set(["sanitize","allowList","sanitizeFn"]),ts="fade",es="show",is=".modal",ns="hide.bs.modal",ss="hover",os="focus",rs={AUTO:"auto",TOP:"top",RIGHT:p()?"left":"right",BOTTOM:"bottom",LEFT:p()?"right":"left"},as={allowList:Vn,animation:!0,boundary:"clippingParents",container:!1,customClass:"",delay:0,fallbackPlacements:["top","right","bottom","left"],html:!1,offset:[0,6],placement:"top",popperConfig:null,sanitize:!0,sanitizeFn:null,selector:!1,template:'',title:"",trigger:"hover focus"},ls={allowList:"object",animation:"boolean",boundary:"(string|element)",container:"(string|element|boolean)",customClass:"(string|function)",delay:"(number|object)",fallbackPlacements:"array",html:"boolean",offset:"(array|string|function)",placement:"(string|function)",popperConfig:"(null|object|function)",sanitize:"boolean",sanitizeFn:"(null|function)",selector:"(string|boolean)",template:"string",title:"(string|element|function)",trigger:"string"};class cs extends W{constructor(t,e){if(void 0===vi)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t,e),this._isEnabled=!0,this._timeout=0,this._isHovered=null,this._activeTrigger={},this._popper=null,this._templateFactory=null,this._newContent=null,this.tip=null,this._setListeners(),this._config.selector||this._fixTitle()}static get Default(){return as}static get DefaultType(){return ls}static get NAME(){return"tooltip"}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(){this._isEnabled&&(this._activeTrigger.click=!this._activeTrigger.click,this._isShown()?this._leave():this._enter())}dispose(){clearTimeout(this._timeout),N.off(this._element.closest(is),ns,this._hideModalHandler),this._element.getAttribute("data-bs-original-title")&&this._element.setAttribute("title",this._element.getAttribute("data-bs-original-title")),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this._isWithContent()||!this._isEnabled)return;const t=N.trigger(this._element,this.constructor.eventName("show")),e=(c(this._element)||this._element.ownerDocument.documentElement).contains(this._element);if(t.defaultPrevented||!e)return;this._disposePopper();const i=this._getTipElement();this._element.setAttribute("aria-describedby",i.getAttribute("id"));const{container:n}=this._config;if(this._element.ownerDocument.documentElement.contains(this.tip)||(n.append(i),N.trigger(this._element,this.constructor.eventName("inserted"))),this._popper=this._createPopper(i),i.classList.add(es),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))N.on(t,"mouseover",h);this._queueCallback((()=>{N.trigger(this._element,this.constructor.eventName("shown")),!1===this._isHovered&&this._leave(),this._isHovered=!1}),this.tip,this._isAnimated())}hide(){if(this._isShown()&&!N.trigger(this._element,this.constructor.eventName("hide")).defaultPrevented){if(this._getTipElement().classList.remove(es),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))N.off(t,"mouseover",h);this._activeTrigger.click=!1,this._activeTrigger[os]=!1,this._activeTrigger[ss]=!1,this._isHovered=null,this._queueCallback((()=>{this._isWithActiveTrigger()||(this._isHovered||this._disposePopper(),this._element.removeAttribute("aria-describedby"),N.trigger(this._element,this.constructor.eventName("hidden")))}),this.tip,this._isAnimated())}}update(){this._popper&&this._popper.update()}_isWithContent(){return Boolean(this._getTitle())}_getTipElement(){return this.tip||(this.tip=this._createTipElement(this._newContent||this._getContentForTemplate())),this.tip}_createTipElement(t){const e=this._getTemplateFactory(t).toHtml();if(!e)return null;e.classList.remove(ts,es),e.classList.add(`bs-${this.constructor.NAME}-auto`);const i=(t=>{do{t+=Math.floor(1e6*Math.random())}while(document.getElementById(t));return t})(this.constructor.NAME).toString();return e.setAttribute("id",i),this._isAnimated()&&e.classList.add(ts),e}setContent(t){this._newContent=t,this._isShown()&&(this._disposePopper(),this.show())}_getTemplateFactory(t){return this._templateFactory?this._templateFactory.changeContent(t):this._templateFactory=new Jn({...this._config,content:t,extraClass:this._resolvePossibleFunction(this._config.customClass)}),this._templateFactory}_getContentForTemplate(){return{".tooltip-inner":this._getTitle()}}_getTitle(){return this._resolvePossibleFunction(this._config.title)||this._element.getAttribute("data-bs-original-title")}_initializeOnDelegatedTarget(t){return this.constructor.getOrCreateInstance(t.delegateTarget,this._getDelegateConfig())}_isAnimated(){return this._config.animation||this.tip&&this.tip.classList.contains(ts)}_isShown(){return this.tip&&this.tip.classList.contains(es)}_createPopper(t){const e=g(this._config.placement,[this,t,this._element]),i=rs[e.toUpperCase()];return bi(this._element,t,this._getPopperConfig(i))}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_resolvePossibleFunction(t){return g(t,[this._element])}_getPopperConfig(t){const e={placement:t,modifiers:[{name:"flip",options:{fallbackPlacements:this._config.fallbackPlacements}},{name:"offset",options:{offset:this._getOffset()}},{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"arrow",options:{element:`.${this.constructor.NAME}-arrow`}},{name:"preSetPlacement",enabled:!0,phase:"beforeMain",fn:t=>{this._getTipElement().setAttribute("data-popper-placement",t.state.placement)}}]};return{...e,...g(this._config.popperConfig,[e])}}_setListeners(){const t=this._config.trigger.split(" ");for(const e of t)if("click"===e)N.on(this._element,this.constructor.eventName("click"),this._config.selector,(t=>{this._initializeOnDelegatedTarget(t).toggle()}));else if("manual"!==e){const t=e===ss?this.constructor.eventName("mouseenter"):this.constructor.eventName("focusin"),i=e===ss?this.constructor.eventName("mouseleave"):this.constructor.eventName("focusout");N.on(this._element,t,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusin"===t.type?os:ss]=!0,e._enter()})),N.on(this._element,i,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusout"===t.type?os:ss]=e._element.contains(t.relatedTarget),e._leave()}))}this._hideModalHandler=()=>{this._element&&this.hide()},N.on(this._element.closest(is),ns,this._hideModalHandler)}_fixTitle(){const t=this._element.getAttribute("title");t&&(this._element.getAttribute("aria-label")||this._element.textContent.trim()||this._element.setAttribute("aria-label",t),this._element.setAttribute("data-bs-original-title",t),this._element.removeAttribute("title"))}_enter(){this._isShown()||this._isHovered?this._isHovered=!0:(this._isHovered=!0,this._setTimeout((()=>{this._isHovered&&this.show()}),this._config.delay.show))}_leave(){this._isWithActiveTrigger()||(this._isHovered=!1,this._setTimeout((()=>{this._isHovered||this.hide()}),this._config.delay.hide))}_setTimeout(t,e){clearTimeout(this._timeout),this._timeout=setTimeout(t,e)}_isWithActiveTrigger(){return Object.values(this._activeTrigger).includes(!0)}_getConfig(t){const e=F.getDataAttributes(this._element);for(const t of Object.keys(e))Zn.has(t)&&delete e[t];return t={...e,..."object"==typeof t&&t?t:{}},t=this._mergeConfigObj(t),t=this._configAfterMerge(t),this._typeCheckConfig(t),t}_configAfterMerge(t){return t.container=!1===t.container?document.body:r(t.container),"number"==typeof t.delay&&(t.delay={show:t.delay,hide:t.delay}),"number"==typeof t.title&&(t.title=t.title.toString()),"number"==typeof t.content&&(t.content=t.content.toString()),t}_getDelegateConfig(){const t={};for(const[e,i]of Object.entries(this._config))this.constructor.Default[e]!==i&&(t[e]=i);return t.selector=!1,t.trigger="manual",t}_disposePopper(){this._popper&&(this._popper.destroy(),this._popper=null),this.tip&&(this.tip.remove(),this.tip=null)}static jQueryInterface(t){return this.each((function(){const e=cs.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}m(cs);const hs={...cs.Default,content:"",offset:[0,8],placement:"right",template:'',trigger:"click"},ds={...cs.DefaultType,content:"(null|string|element|function)"};class us extends cs{static get Default(){return hs}static get DefaultType(){return ds}static get 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e=this._observableSections.get(t.target.hash);if(e){t.preventDefault();const i=this._rootElement||window,n=e.offsetTop-this._element.offsetTop;if(i.scrollTo)return void i.scrollTo({top:n,behavior:"smooth"});i.scrollTop=n}})))}_getNewObserver(){const t={root:this._rootElement,threshold:this._config.threshold,rootMargin:this._config.rootMargin};return new IntersectionObserver((t=>this._observerCallback(t)),t)}_observerCallback(t){const e=t=>this._targetLinks.get(`#${t.target.id}`),i=t=>{this._previousScrollData.visibleEntryTop=t.target.offsetTop,this._process(e(t))},n=(this._rootElement||document.documentElement).scrollTop,s=n>=this._previousScrollData.parentScrollTop;this._previousScrollData.parentScrollTop=n;for(const o of t){if(!o.isIntersecting){this._activeTarget=null,this._clearActiveClass(e(o));continue}const t=o.target.offsetTop>=this._previousScrollData.visibleEntryTop;if(s&&t){if(i(o),!n)return}else s||t||i(o)}}_initializeTargetsAndObservables(){this._targetLinks=new Map,this._observableSections=new Map;const t=z.find(bs,this._config.target);for(const e of t){if(!e.hash||l(e))continue;const t=z.findOne(decodeURI(e.hash),this._element);a(t)&&(this._targetLinks.set(decodeURI(e.hash),e),this._observableSections.set(e.hash,t))}}_process(t){this._activeTarget!==t&&(this._clearActiveClass(this._config.target),this._activeTarget=t,t.classList.add(_s),this._activateParents(t),N.trigger(this._element,ps,{relatedTarget:t}))}_activateParents(t){if(t.classList.contains("dropdown-item"))z.findOne(".dropdown-toggle",t.closest(".dropdown")).classList.add(_s);else for(const e of z.parents(t,".nav, .list-group"))for(const t of z.prev(e,ys))t.classList.add(_s)}_clearActiveClass(t){t.classList.remove(_s);const e=z.find(`${bs}.${_s}`,t);for(const t of e)t.classList.remove(_s)}static jQueryInterface(t){return this.each((function(){const e=Es.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}))}}N.on(window,gs,(()=>{for(const t of z.find('[data-bs-spy="scroll"]'))Es.getOrCreateInstance(t)})),m(Es);const Ts=".bs.tab",Cs=`hide${Ts}`,Os=`hidden${Ts}`,xs=`show${Ts}`,ks=`shown${Ts}`,Ls=`click${Ts}`,Ss=`keydown${Ts}`,Ds=`load${Ts}`,$s="ArrowLeft",Is="ArrowRight",Ns="ArrowUp",Ps="ArrowDown",Ms="Home",js="End",Fs="active",Hs="fade",Ws="show",Bs=":not(.dropdown-toggle)",zs='[data-bs-toggle="tab"], [data-bs-toggle="pill"], [data-bs-toggle="list"]',Rs=`.nav-link${Bs}, .list-group-item${Bs}, [role="tab"]${Bs}, ${zs}`,qs=`.${Fs}[data-bs-toggle="tab"], .${Fs}[data-bs-toggle="pill"], .${Fs}[data-bs-toggle="list"]`;class Vs extends W{constructor(t){super(t),this._parent=this._element.closest('.list-group, .nav, [role="tablist"]'),this._parent&&(this._setInitialAttributes(this._parent,this._getChildren()),N.on(this._element,Ss,(t=>this._keydown(t))))}static get NAME(){return"tab"}show(){const t=this._element;if(this._elemIsActive(t))return;const e=this._getActiveElem(),i=e?N.trigger(e,Cs,{relatedTarget:t}):null;N.trigger(t,xs,{relatedTarget:e}).defaultPrevented||i&&i.defaultPrevented||(this._deactivate(e,t),this._activate(t,e))}_activate(t,e){t&&(t.classList.add(Fs),this._activate(z.getElementFromSelector(t)),this._queueCallback((()=>{"tab"===t.getAttribute("role")?(t.removeAttribute("tabindex"),t.setAttribute("aria-selected",!0),this._toggleDropDown(t,!0),N.trigger(t,ks,{relatedTarget:e})):t.classList.add(Ws)}),t,t.classList.contains(Hs)))}_deactivate(t,e){t&&(t.classList.remove(Fs),t.blur(),this._deactivate(z.getElementFromSelector(t)),this._queueCallback((()=>{"tab"===t.getAttribute("role")?(t.setAttribute("aria-selected",!1),t.setAttribute("tabindex","-1"),this._toggleDropDown(t,!1),N.trigger(t,Os,{relatedTarget:e})):t.classList.remove(Ws)}),t,t.classList.contains(Hs)))}_keydown(t){if(![$s,Is,Ns,Ps,Ms,js].includes(t.key))return;t.stopPropagation(),t.preventDefault();const e=this._getChildren().filter((t=>!l(t)));let i;if([Ms,js].includes(t.key))i=e[t.key===Ms?0:e.length-1];else{const n=[Is,Ps].includes(t.key);i=b(e,t.target,n,!0)}i&&(i.focus({preventScroll:!0}),Vs.getOrCreateInstance(i).show())}_getChildren(){return z.find(Rs,this._parent)}_getActiveElem(){return this._getChildren().find((t=>this._elemIsActive(t)))||null}_setInitialAttributes(t,e){this._setAttributeIfNotExists(t,"role","tablist");for(const t of e)this._setInitialAttributesOnChild(t)}_setInitialAttributesOnChild(t){t=this._getInnerElement(t);const e=this._elemIsActive(t),i=this._getOuterElement(t);t.setAttribute("aria-selected",e),i!==t&&this._setAttributeIfNotExists(i,"role","presentation"),e||t.setAttribute("tabindex","-1"),this._setAttributeIfNotExists(t,"role","tab"),this._setInitialAttributesOnTargetPanel(t)}_setInitialAttributesOnTargetPanel(t){const e=z.getElementFromSelector(t);e&&(this._setAttributeIfNotExists(e,"role","tabpanel"),t.id&&this._setAttributeIfNotExists(e,"aria-labelledby",`${t.id}`))}_toggleDropDown(t,e){const i=this._getOuterElement(t);if(!i.classList.contains("dropdown"))return;const n=(t,n)=>{const s=z.findOne(t,i);s&&s.classList.toggle(n,e)};n(".dropdown-toggle",Fs),n(".dropdown-menu",Ws),i.setAttribute("aria-expanded",e)}_setAttributeIfNotExists(t,e,i){t.hasAttribute(e)||t.setAttribute(e,i)}_elemIsActive(t){return t.classList.contains(Fs)}_getInnerElement(t){return t.matches(Rs)?t:z.findOne(Rs,t)}_getOuterElement(t){return t.closest(".nav-item, .list-group-item")||t}static jQueryInterface(t){return this.each((function(){const e=Vs.getOrCreateInstance(this);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}))}}N.on(document,Ls,zs,(function(t){["A","AREA"].includes(this.tagName)&&t.preventDefault(),l(this)||Vs.getOrCreateInstance(this).show()})),N.on(window,Ds,(()=>{for(const t of z.find(qs))Vs.getOrCreateInstance(t)})),m(Vs);const Ks=".bs.toast",Qs=`mouseover${Ks}`,Xs=`mouseout${Ks}`,Ys=`focusin${Ks}`,Us=`focusout${Ks}`,Gs=`hide${Ks}`,Js=`hidden${Ks}`,Zs=`show${Ks}`,to=`shown${Ks}`,eo="hide",io="show",no="showing",so={animation:"boolean",autohide:"boolean",delay:"number"},oo={animation:!0,autohide:!0,delay:5e3};class ro extends W{constructor(t,e){super(t,e),this._timeout=null,this._hasMouseInteraction=!1,this._hasKeyboardInteraction=!1,this._setListeners()}static get Default(){return oo}static get DefaultType(){return so}static get 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a/docs/site_libs/quarto-html/quarto-syntax-highlighting.css +++ /dev/null @@ -1,203 +0,0 @@ -/* quarto syntax highlight colors */ -:root { - --quarto-hl-ot-color: #003B4F; - --quarto-hl-at-color: #657422; - --quarto-hl-ss-color: #20794D; - --quarto-hl-an-color: #5E5E5E; - --quarto-hl-fu-color: #4758AB; - --quarto-hl-st-color: #20794D; - --quarto-hl-cf-color: #003B4F; - --quarto-hl-op-color: #5E5E5E; - --quarto-hl-er-color: #AD0000; - --quarto-hl-bn-color: #AD0000; - --quarto-hl-al-color: #AD0000; - --quarto-hl-va-color: #111111; - --quarto-hl-bu-color: inherit; - --quarto-hl-ex-color: inherit; - --quarto-hl-pp-color: #AD0000; - --quarto-hl-in-color: #5E5E5E; - --quarto-hl-vs-color: #20794D; - --quarto-hl-wa-color: #5E5E5E; - --quarto-hl-do-color: #5E5E5E; - --quarto-hl-im-color: #00769E; - --quarto-hl-ch-color: #20794D; - --quarto-hl-dt-color: #AD0000; - --quarto-hl-fl-color: #AD0000; - --quarto-hl-co-color: #5E5E5E; - --quarto-hl-cv-color: #5E5E5E; - --quarto-hl-cn-color: #8f5902; - --quarto-hl-sc-color: #5E5E5E; - --quarto-hl-dv-color: #AD0000; - --quarto-hl-kw-color: #003B4F; -} - -/* other quarto variables */ -:root { - --quarto-font-monospace: SFMono-Regular, Menlo, Monaco, Consolas, "Liberation Mono", "Courier New", monospace; -} - -pre > code.sourceCode > span { - color: #003B4F; -} - -code span { - color: #003B4F; -} - -code.sourceCode > span { - color: #003B4F; -} - -div.sourceCode, -div.sourceCode pre.sourceCode { - color: #003B4F; -} - -code span.ot { - color: #003B4F; - font-style: inherit; -} - -code span.at { - color: #657422; - font-style: inherit; -} - -code span.ss { - color: #20794D; - font-style: inherit; -} - -code span.an { - color: #5E5E5E; - font-style: inherit; -} - -code span.fu { - color: #4758AB; - font-style: inherit; -} - -code span.st { - color: #20794D; - font-style: inherit; -} - -code span.cf { - color: #003B4F; - font-style: inherit; -} - -code span.op { - color: #5E5E5E; - font-style: inherit; -} - -code span.er { - color: 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span.cn { - color: #8f5902; - font-style: inherit; -} - -code span.sc { - color: #5E5E5E; - font-style: inherit; -} - -code span.dv { - color: #AD0000; - font-style: inherit; -} - -code span.kw { - color: #003B4F; - font-style: inherit; -} - -.prevent-inlining { - content: " { - // Find any conflicting margin elements and add margins to the - // top to prevent overlap - const marginChildren = window.document.querySelectorAll( - ".column-margin.column-container > *, .margin-caption, .aside" - ); - - let lastBottom = 0; - for (const marginChild of marginChildren) { - if (marginChild.offsetParent !== null) { - // clear the top margin so we recompute it - marginChild.style.marginTop = null; - const top = marginChild.getBoundingClientRect().top + window.scrollY; - if (top < lastBottom) { - const marginChildStyle = window.getComputedStyle(marginChild); - const marginBottom = parseFloat(marginChildStyle["marginBottom"]); - const margin = lastBottom - top + marginBottom; - marginChild.style.marginTop = `${margin}px`; - } - const styles = window.getComputedStyle(marginChild); - const marginTop = parseFloat(styles["marginTop"]); - lastBottom = top + marginChild.getBoundingClientRect().height + marginTop; - } - } -}; - -window.document.addEventListener("DOMContentLoaded", function (_event) { - // Recompute the position of margin elements anytime the body size changes - if (window.ResizeObserver) { - const resizeObserver = new window.ResizeObserver( - throttle(() => { - layoutMarginEls(); - if ( - window.document.body.getBoundingClientRect().width < 990 && - isReaderMode() - ) { - quartoToggleReader(); - } - }, 50) - ); - resizeObserver.observe(window.document.body); - } - - const tocEl = window.document.querySelector('nav.toc-active[role="doc-toc"]'); - const sidebarEl = window.document.getElementById("quarto-sidebar"); - const leftTocEl = window.document.getElementById("quarto-sidebar-toc-left"); - const marginSidebarEl = window.document.getElementById( - "quarto-margin-sidebar" - ); - // function to determine whether the element has a previous sibling that is active - const prevSiblingIsActiveLink = (el) => { - const sibling = el.previousElementSibling; - if (sibling && sibling.tagName === "A") { - return sibling.classList.contains("active"); - } else { - return false; - } - }; - - // fire slideEnter for bootstrap tab activations (for htmlwidget resize behavior) - function fireSlideEnter(e) { - const event = window.document.createEvent("Event"); - event.initEvent("slideenter", true, true); - window.document.dispatchEvent(event); - } - const tabs = window.document.querySelectorAll('a[data-bs-toggle="tab"]'); - tabs.forEach((tab) => { - tab.addEventListener("shown.bs.tab", fireSlideEnter); - }); - - // fire slideEnter for tabby tab activations (for htmlwidget resize behavior) - document.addEventListener("tabby", fireSlideEnter, false); - - // Track scrolling and mark TOC links as active - // get table of contents and sidebar (bail if we don't have at least one) - const tocLinks = tocEl - ? [...tocEl.querySelectorAll("a[data-scroll-target]")] - : []; - const makeActive = (link) => tocLinks[link].classList.add("active"); - const removeActive = (link) => tocLinks[link].classList.remove("active"); - const removeAllActive = () => - [...Array(tocLinks.length).keys()].forEach((link) => removeActive(link)); - - // activate the anchor for a section associated with this TOC entry - tocLinks.forEach((link) => { - link.addEventListener("click", () => { - if (link.href.indexOf("#") !== -1) { - const anchor = link.href.split("#")[1]; - const heading = window.document.querySelector( - `[data-anchor-id=${anchor}]` - ); - if (heading) { - // Add the class - heading.classList.add("reveal-anchorjs-link"); - - // function to show the anchor - const handleMouseout = () => { - heading.classList.remove("reveal-anchorjs-link"); - heading.removeEventListener("mouseout", handleMouseout); - }; - - // add a function to clear the anchor when the user mouses out of it - heading.addEventListener("mouseout", handleMouseout); - } - } - }); - }); - - const sections = tocLinks.map((link) => { - const target = link.getAttribute("data-scroll-target"); - if (target.startsWith("#")) { - return window.document.getElementById(decodeURI(`${target.slice(1)}`)); - } else { - return window.document.querySelector(decodeURI(`${target}`)); - } - }); - - const sectionMargin = 200; - let currentActive = 0; - // track whether we've initialized state the first time - let init = false; - - const updateActiveLink = () => { - // The index from bottom to top (e.g. reversed list) - let sectionIndex = -1; - if ( - window.innerHeight + window.pageYOffset >= - window.document.body.offsetHeight - ) { - sectionIndex = 0; - } else { - sectionIndex = [...sections].reverse().findIndex((section) => { - if (section) { - return window.pageYOffset >= section.offsetTop - sectionMargin; - } else { - return false; - } - }); - } - if (sectionIndex > -1) { - const current = sections.length - sectionIndex - 1; - if (current !== currentActive) { - removeAllActive(); - currentActive = current; - makeActive(current); - if (init) { - window.dispatchEvent(sectionChanged); - } - init = true; - } - } - }; - - const inHiddenRegion = (top, bottom, hiddenRegions) => { - for (const region of hiddenRegions) { - if (top <= region.bottom && bottom >= region.top) { - return true; - } - } - return false; - }; - - const categorySelector = "header.quarto-title-block .quarto-category"; - const activateCategories = (href) => { - // Find any categories - // Surround them with a link pointing back to: - // #category=Authoring - try { - const categoryEls = window.document.querySelectorAll(categorySelector); - for (const categoryEl of categoryEls) { - const categoryText = categoryEl.textContent; - if (categoryText) { - const link = `${href}#category=${encodeURIComponent(categoryText)}`; - const linkEl = window.document.createElement("a"); - linkEl.setAttribute("href", link); - for (const child of categoryEl.childNodes) { - linkEl.append(child); - } - categoryEl.appendChild(linkEl); - } - } - } catch { - // Ignore errors - } - }; - function hasTitleCategories() { - return window.document.querySelector(categorySelector) !== null; - } - - function offsetRelativeUrl(url) { - const offset = getMeta("quarto:offset"); - return offset ? offset + url : url; - } - - function offsetAbsoluteUrl(url) { - const offset = getMeta("quarto:offset"); - const baseUrl = new URL(offset, window.location); - - const projRelativeUrl = url.replace(baseUrl, ""); - if (projRelativeUrl.startsWith("/")) { - return projRelativeUrl; - } else { - return "/" + projRelativeUrl; - } - } - - // read a meta tag value - function getMeta(metaName) { - const metas = window.document.getElementsByTagName("meta"); - for (let i = 0; i < metas.length; i++) { - if (metas[i].getAttribute("name") === metaName) { - return metas[i].getAttribute("content"); - } - } - return ""; - } - - async function findAndActivateCategories() { - const currentPagePath = offsetAbsoluteUrl(window.location.href); - const response = await fetch(offsetRelativeUrl("listings.json")); - if (response.status == 200) { - return response.json().then(function (listingPaths) { - const listingHrefs = []; - for (const listingPath of listingPaths) { - const pathWithoutLeadingSlash = listingPath.listing.substring(1); - for (const item of listingPath.items) { - if ( - item === currentPagePath || - item === currentPagePath + "index.html" - ) { - // Resolve this path against the offset to be sure - // we already are using the correct path to the listing - // (this adjusts the listing urls to be rooted against - // whatever root the page is actually running against) - const relative = offsetRelativeUrl(pathWithoutLeadingSlash); - const baseUrl = window.location; - const resolvedPath = new URL(relative, baseUrl); - listingHrefs.push(resolvedPath.pathname); - break; - } - } - } - - // Look up the tree for a nearby linting and use that if we find one - const nearestListing = findNearestParentListing( - offsetAbsoluteUrl(window.location.pathname), - listingHrefs - ); - if (nearestListing) { - activateCategories(nearestListing); - } else { - // See if the referrer is a listing page for this item - const referredRelativePath = offsetAbsoluteUrl(document.referrer); - const referrerListing = listingHrefs.find((listingHref) => { - const isListingReferrer = - listingHref === referredRelativePath || - listingHref === referredRelativePath + "index.html"; - return isListingReferrer; - }); - - if (referrerListing) { - // Try to use the referrer if possible - activateCategories(referrerListing); - } else if (listingHrefs.length > 0) { - // Otherwise, just fall back to the first listing - activateCategories(listingHrefs[0]); - } - } - }); - } - } - if (hasTitleCategories()) { - findAndActivateCategories(); - } - - const findNearestParentListing = (href, listingHrefs) => { - if (!href || !listingHrefs) { - return undefined; - } - // Look up the tree for a nearby linting and use that if we find one - const relativeParts = href.substring(1).split("/"); - while (relativeParts.length > 0) { - const path = relativeParts.join("/"); - for (const listingHref of listingHrefs) { - if (listingHref.startsWith(path)) { - return listingHref; - } - } - relativeParts.pop(); - } - - return undefined; - }; - - const manageSidebarVisiblity = (el, placeholderDescriptor) => { - let isVisible = true; - let elRect; - - return (hiddenRegions) => { - if (el === null) { - return; - } - - // Find the last element of the TOC - const lastChildEl = el.lastElementChild; - - if (lastChildEl) { - // Converts the sidebar to a menu - const convertToMenu = () => { - for (const child of el.children) { - child.style.opacity = 0; - child.style.overflow = "hidden"; - } - - nexttick(() => { - const toggleContainer = window.document.createElement("div"); - toggleContainer.style.width = "100%"; - toggleContainer.classList.add("zindex-over-content"); - toggleContainer.classList.add("quarto-sidebar-toggle"); - toggleContainer.classList.add("headroom-target"); // Marks this to be managed by headeroom - toggleContainer.id = placeholderDescriptor.id; - toggleContainer.style.position = "fixed"; - - const toggleIcon = window.document.createElement("i"); - toggleIcon.classList.add("quarto-sidebar-toggle-icon"); - toggleIcon.classList.add("bi"); - toggleIcon.classList.add("bi-caret-down-fill"); - - const toggleTitle = window.document.createElement("div"); - const titleEl = window.document.body.querySelector( - placeholderDescriptor.titleSelector - ); - if (titleEl) { - toggleTitle.append( - titleEl.textContent || titleEl.innerText, - toggleIcon - ); - } - toggleTitle.classList.add("zindex-over-content"); - toggleTitle.classList.add("quarto-sidebar-toggle-title"); - toggleContainer.append(toggleTitle); - - const toggleContents = window.document.createElement("div"); - toggleContents.classList = el.classList; - toggleContents.classList.add("zindex-over-content"); - toggleContents.classList.add("quarto-sidebar-toggle-contents"); - for (const child of el.children) { - if (child.id === "toc-title") { - continue; - } - - const clone = child.cloneNode(true); - clone.style.opacity = 1; - clone.style.display = null; - toggleContents.append(clone); - } - toggleContents.style.height = "0px"; - const positionToggle = () => { - // position the element (top left of parent, same width as parent) - if (!elRect) { - elRect = el.getBoundingClientRect(); - } - toggleContainer.style.left = `${elRect.left}px`; - toggleContainer.style.top = `${elRect.top}px`; - toggleContainer.style.width = `${elRect.width}px`; - }; - positionToggle(); - - toggleContainer.append(toggleContents); - el.parentElement.prepend(toggleContainer); - - // Process clicks - let tocShowing = false; - // Allow the caller to control whether this is dismissed - // when it is clicked (e.g. sidebar navigation supports - // opening and closing the nav tree, so don't dismiss on click) - const clickEl = placeholderDescriptor.dismissOnClick - ? toggleContainer - : toggleTitle; - - const closeToggle = () => { - if (tocShowing) { - toggleContainer.classList.remove("expanded"); - toggleContents.style.height = "0px"; - tocShowing = false; - } - }; - - // Get rid of any expanded toggle if the user scrolls - window.document.addEventListener( - "scroll", - throttle(() => { - closeToggle(); - }, 50) - ); - - // Handle positioning of the toggle - window.addEventListener( - "resize", - throttle(() => { - elRect = undefined; - positionToggle(); - }, 50) - ); - - window.addEventListener("quarto-hrChanged", () => { - elRect = undefined; - }); - - // Process the click - clickEl.onclick = () => { - if (!tocShowing) { - toggleContainer.classList.add("expanded"); - toggleContents.style.height = null; - tocShowing = true; - } else { - closeToggle(); - } - }; - }); - }; - - // Converts a sidebar from a menu back to a sidebar - const convertToSidebar = () => { - for (const child of el.children) { - child.style.opacity = 1; - child.style.overflow = null; - } - - const placeholderEl = window.document.getElementById( - placeholderDescriptor.id - ); - if (placeholderEl) { - placeholderEl.remove(); - } - - el.classList.remove("rollup"); - }; - - if (isReaderMode()) { - convertToMenu(); - isVisible = false; - } else { - // Find the top and bottom o the element that is being managed - const elTop = el.offsetTop; - const elBottom = - elTop + lastChildEl.offsetTop + lastChildEl.offsetHeight; - - if (!isVisible) { - // If the element is current not visible reveal if there are - // no conflicts with overlay regions - if (!inHiddenRegion(elTop, elBottom, hiddenRegions)) { - convertToSidebar(); - isVisible = true; - } - } else { - // If the element is visible, hide it if it conflicts with overlay regions - // and insert a placeholder toggle (or if we're in reader mode) - if (inHiddenRegion(elTop, elBottom, hiddenRegions)) { - convertToMenu(); - isVisible = false; - } - } - } - } - }; - }; - - const tabEls = document.querySelectorAll('a[data-bs-toggle="tab"]'); - for (const tabEl of tabEls) { - const id = tabEl.getAttribute("data-bs-target"); - if (id) { - const columnEl = document.querySelector( - `${id} .column-margin, .tabset-margin-content` - ); - if (columnEl) - tabEl.addEventListener("shown.bs.tab", function (event) { - const el = event.srcElement; - if (el) { - const visibleCls = `${el.id}-margin-content`; - // walk up until we find a parent tabset - let panelTabsetEl = el.parentElement; - while (panelTabsetEl) { - if (panelTabsetEl.classList.contains("panel-tabset")) { - break; - } - panelTabsetEl = panelTabsetEl.parentElement; - } - - if (panelTabsetEl) { - const prevSib = panelTabsetEl.previousElementSibling; - if ( - prevSib && - prevSib.classList.contains("tabset-margin-container") - ) { - const childNodes = prevSib.querySelectorAll( - ".tabset-margin-content" - ); - for (const childEl of childNodes) { - if (childEl.classList.contains(visibleCls)) { - childEl.classList.remove("collapse"); - } else { - childEl.classList.add("collapse"); - } - } - } - } - } - - layoutMarginEls(); - }); - } - } - - // Manage the visibility of the toc and the sidebar - const marginScrollVisibility = manageSidebarVisiblity(marginSidebarEl, { - id: "quarto-toc-toggle", - titleSelector: "#toc-title", - dismissOnClick: true, - }); - const sidebarScrollVisiblity = manageSidebarVisiblity(sidebarEl, { - id: "quarto-sidebarnav-toggle", - titleSelector: ".title", - dismissOnClick: false, - }); - let tocLeftScrollVisibility; - if (leftTocEl) { - tocLeftScrollVisibility = manageSidebarVisiblity(leftTocEl, { - id: "quarto-lefttoc-toggle", - titleSelector: "#toc-title", - dismissOnClick: true, - }); - } - - // Find the first element that uses formatting in special columns - const conflictingEls = window.document.body.querySelectorAll( - '[class^="column-"], [class*=" column-"], aside, [class*="margin-caption"], [class*=" margin-caption"], [class*="margin-ref"], [class*=" margin-ref"]' - ); - - // Filter all the possibly conflicting elements into ones - // the do conflict on the left or ride side - const arrConflictingEls = Array.from(conflictingEls); - const leftSideConflictEls = arrConflictingEls.filter((el) => { - if (el.tagName === "ASIDE") { - return false; - } - return Array.from(el.classList).find((className) => { - return ( - className !== "column-body" && - className.startsWith("column-") && - !className.endsWith("right") && - !className.endsWith("container") && - className !== "column-margin" - ); 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a/docs/site_libs/quarto-search/quarto-search.js b/docs/site_libs/quarto-search/quarto-search.js deleted file mode 100644 index 5f723d7..0000000 --- a/docs/site_libs/quarto-search/quarto-search.js +++ /dev/null @@ -1,1286 +0,0 @@ -const kQueryArg = "q"; -const kResultsArg = "show-results"; - -// If items don't provide a URL, then both the navigator and the onSelect -// function aren't called (and therefore, the default implementation is used) -// -// We're using this sentinel URL to signal to those handlers that this -// item is a more item (along with the type) and can be handled appropriately -const kItemTypeMoreHref = "0767FDFD-0422-4E5A-BC8A-3BE11E5BBA05"; - -window.document.addEventListener("DOMContentLoaded", function (_event) { - // Ensure that search is available on this page. If it isn't, - // should return early and not do anything - var searchEl = window.document.getElementById("quarto-search"); - if (!searchEl) return; - - const { autocomplete } = window["@algolia/autocomplete-js"]; - - let quartoSearchOptions = {}; - let language = {}; - const searchOptionEl = window.document.getElementById( - "quarto-search-options" - ); - if (searchOptionEl) { - const jsonStr = searchOptionEl.textContent; - quartoSearchOptions = JSON.parse(jsonStr); - language = quartoSearchOptions.language; - } - - // note the search mode - if (quartoSearchOptions.type === "overlay") { - searchEl.classList.add("type-overlay"); - } else { - searchEl.classList.add("type-textbox"); - } - - // Used to determine highlighting behavior for this page - // A `q` query param is expected when the user follows a search - // to this page - const currentUrl = new URL(window.location); - const query = currentUrl.searchParams.get(kQueryArg); - const showSearchResults = currentUrl.searchParams.get(kResultsArg); - const mainEl = window.document.querySelector("main"); - - // highlight matches on the page - if (query && mainEl) { - // perform any highlighting - highlight(escapeRegExp(query), mainEl); - - // fix up the URL to remove the q query param - const replacementUrl = new URL(window.location); - replacementUrl.searchParams.delete(kQueryArg); - window.history.replaceState({}, "", replacementUrl); - } - - // function to clear highlighting on the page when the search query changes - // (e.g. if the user edits the query or clears it) - let highlighting = true; - const resetHighlighting = (searchTerm) => { - if (mainEl && highlighting && query && searchTerm !== query) { - clearHighlight(query, mainEl); - highlighting = false; - } - }; - - // Clear search highlighting when the user scrolls sufficiently - const resetFn = () => { - resetHighlighting(""); - window.removeEventListener("quarto-hrChanged", resetFn); - window.removeEventListener("quarto-sectionChanged", resetFn); - }; - - // Register this event after the initial scrolling and settling of events - // on the page - window.addEventListener("quarto-hrChanged", resetFn); - window.addEventListener("quarto-sectionChanged", resetFn); - - // Responsively switch to overlay mode if the search is present on the navbar - // Note that switching the sidebar to overlay mode requires more coordinate (not just - // the media query since we generate different HTML for sidebar overlays than we do - // for sidebar input UI) - const detachedMediaQuery = - quartoSearchOptions.type === "overlay" ? "all" : "(max-width: 991px)"; - - // If configured, include the analytics client to send insights - const plugins = configurePlugins(quartoSearchOptions); - - let lastState = null; - const { setIsOpen, setQuery, setCollections } = autocomplete({ - container: searchEl, - detachedMediaQuery: detachedMediaQuery, - defaultActiveItemId: 0, - panelContainer: "#quarto-search-results", - panelPlacement: quartoSearchOptions["panel-placement"], - debug: false, - openOnFocus: true, - plugins, - classNames: { - form: "d-flex", - }, - placeholder: language["search-text-placeholder"], - translations: { - clearButtonTitle: language["search-clear-button-title"], - detachedCancelButtonText: language["search-detached-cancel-button-title"], - submitButtonTitle: language["search-submit-button-title"], - }, - initialState: { - query, - }, - getItemUrl({ item }) { - return item.href; - }, - onStateChange({ state }) { - // If this is a file URL, note that - - // Perhaps reset highlighting - resetHighlighting(state.query); - - // If the panel just opened, ensure the panel is positioned properly - if (state.isOpen) { - if (lastState && !lastState.isOpen) { - setTimeout(() => { - positionPanel(quartoSearchOptions["panel-placement"]); - }, 150); - } - } - - // Perhaps show the copy link - showCopyLink(state.query, quartoSearchOptions); - - lastState = state; - }, - reshape({ sources, state }) { - return sources.map((source) => { - try { - const items = source.getItems(); - - // Validate the items - validateItems(items); - - // group the items by document - const groupedItems = new Map(); - items.forEach((item) => { - const hrefParts = item.href.split("#"); - const baseHref = hrefParts[0]; - const isDocumentItem = hrefParts.length === 1; - - const items = groupedItems.get(baseHref); - if (!items) { - groupedItems.set(baseHref, [item]); - } else { - // If the href for this item matches the document - // exactly, place this item first as it is the item that represents - // the document itself - if (isDocumentItem) { - items.unshift(item); - } else { - items.push(item); - } - groupedItems.set(baseHref, items); - } - }); - - const reshapedItems = []; - let count = 1; - for (const [_key, value] of groupedItems) { - const firstItem = value[0]; - reshapedItems.push({ - ...firstItem, - type: kItemTypeDoc, - }); - - const collapseMatches = quartoSearchOptions["collapse-after"]; - const collapseCount = - typeof collapseMatches === "number" ? collapseMatches : 1; - - if (value.length > 1) { - const target = `search-more-${count}`; - const isExpanded = - state.context.expanded && - state.context.expanded.includes(target); - - const remainingCount = value.length - collapseCount; - - for (let i = 1; i < value.length; i++) { - if (collapseMatches && i === collapseCount) { - reshapedItems.push({ - target, - title: isExpanded - ? language["search-hide-matches-text"] - : remainingCount === 1 - ? `${remainingCount} ${language["search-more-match-text"]}` - : `${remainingCount} ${language["search-more-matches-text"]}`, - type: kItemTypeMore, - href: kItemTypeMoreHref, - }); - } - - if (isExpanded || !collapseMatches || i < collapseCount) { - reshapedItems.push({ - ...value[i], - type: kItemTypeItem, - target, - }); - } - } - } - count += 1; - } - - return { - ...source, - getItems() { - return reshapedItems; - }, - }; - } catch (error) { - // Some form of error occurred - return { - ...source, - getItems() { - return [ - { - title: error.name || "An Error Occurred While Searching", - text: - error.message || - "An unknown error occurred while attempting to perform the requested search.", - type: kItemTypeError, - }, - ]; - }, - }; - } - }); - }, - navigator: { - navigate({ itemUrl }) { - if (itemUrl !== offsetURL(kItemTypeMoreHref)) { - window.location.assign(itemUrl); - } - }, - navigateNewTab({ itemUrl }) { - if (itemUrl !== offsetURL(kItemTypeMoreHref)) { - const windowReference = window.open(itemUrl, "_blank", "noopener"); - if (windowReference) { - windowReference.focus(); - } - } - }, - navigateNewWindow({ itemUrl }) { - if (itemUrl !== offsetURL(kItemTypeMoreHref)) { - window.open(itemUrl, "_blank", "noopener"); - } - }, - }, - getSources({ state, setContext, setActiveItemId, refresh }) { - return [ - { - sourceId: "documents", - getItemUrl({ item }) { - if (item.href) { - return offsetURL(item.href); - } else { - return undefined; - } - }, - onSelect({ - item, - state, - setContext, - setIsOpen, - setActiveItemId, - refresh, - }) { - if (item.type === kItemTypeMore) { - toggleExpanded(item, state, setContext, setActiveItemId, refresh); - - // Toggle more - setIsOpen(true); - } - }, - getItems({ query }) { - if (query === null || query === "") { - return []; - } - - const limit = quartoSearchOptions.limit; - if (quartoSearchOptions.algolia) { - return algoliaSearch(query, limit, quartoSearchOptions.algolia); - } else { - // Fuse search options - const fuseSearchOptions = { - isCaseSensitive: false, - shouldSort: true, - minMatchCharLength: 2, - limit: limit, - }; - - return readSearchData().then(function (fuse) { - return fuseSearch(query, fuse, fuseSearchOptions); - }); - } - }, - templates: { - noResults({ createElement }) { - const hasQuery = lastState.query; - - return createElement( - "div", - { - class: `quarto-search-no-results${ - hasQuery ? "" : " no-query" - }`, - }, - language["search-no-results-text"] - ); - }, - header({ items, createElement }) { - // count the documents - const count = items.filter((item) => { - return item.type === kItemTypeDoc; - }).length; - - if (count > 0) { - return createElement( - "div", - { class: "search-result-header" }, - `${count} ${language["search-matching-documents-text"]}` - ); - } else { - return createElement( - "div", - { class: "search-result-header-no-results" }, - `` - ); - } - }, - footer({ _items, createElement }) { - if ( - quartoSearchOptions.algolia && - quartoSearchOptions.algolia["show-logo"] - ) { - const libDir = quartoSearchOptions.algolia["libDir"]; - const logo = createElement("img", { - src: offsetURL( - `${libDir}/quarto-search/search-by-algolia.svg` - ), - class: "algolia-search-logo", - }); - return createElement( - "a", - { href: "http://www.algolia.com/" }, - logo - ); - } - }, - - item({ item, createElement }) { - return renderItem( - item, - createElement, - state, - setActiveItemId, - setContext, - refresh, - quartoSearchOptions - ); - }, - }, - }, - ]; - }, - }); - - window.quartoOpenSearch = () => { - setIsOpen(false); - setIsOpen(true); - focusSearchInput(); - }; - - document.addEventListener("keyup", (event) => { - const { key } = event; - const kbds = quartoSearchOptions["keyboard-shortcut"]; - const focusedEl = document.activeElement; - - const isFormElFocused = [ - "input", - "select", - "textarea", - "button", - "option", - ].find((tag) => { - return focusedEl.tagName.toLowerCase() === tag; - }); - - if ( - kbds && - kbds.includes(key) && - !isFormElFocused && - !document.activeElement.isContentEditable - ) { - event.preventDefault(); - window.quartoOpenSearch(); - } - }); - - // Remove the labeleledby attribute since it is pointing - // to a non-existent label - if (quartoSearchOptions.type === "overlay") { - const inputEl = window.document.querySelector( - "#quarto-search .aa-Autocomplete" - ); - if (inputEl) { - inputEl.removeAttribute("aria-labelledby"); - } - } - - function throttle(func, wait) { - let waiting = false; - return function () { - if (!waiting) { - func.apply(this, arguments); - waiting = true; - setTimeout(function () { - waiting = false; - }, wait); - } - }; - } - - // If the main document scrolls dismiss the search results - // (otherwise, since they're floating in the document they can scroll with the document) - window.document.body.onscroll = throttle(() => { - // Only do this if we're not detached - // Bug #7117 - // This will happen when the keyboard is shown on ios (resulting in a scroll) - // which then closed the search UI - if (!window.matchMedia(detachedMediaQuery).matches) { - setIsOpen(false); - } - }, 50); - - if (showSearchResults) { - setIsOpen(true); - focusSearchInput(); - } -}); - -function configurePlugins(quartoSearchOptions) { - const autocompletePlugins = []; - const algoliaOptions = quartoSearchOptions.algolia; - if ( - algoliaOptions && - algoliaOptions["analytics-events"] && - algoliaOptions["search-only-api-key"] && - algoliaOptions["application-id"] - ) { - const apiKey = algoliaOptions["search-only-api-key"]; - const appId = algoliaOptions["application-id"]; - - // Aloglia insights may not be loaded because they require cookie consent - // Use deferred loading so events will start being recorded when/if consent - // is granted. - const algoliaInsightsDeferredPlugin = deferredLoadPlugin(() => { - if ( - window.aa && - window["@algolia/autocomplete-plugin-algolia-insights"] - ) { - window.aa("init", { - appId, - apiKey, - useCookie: true, - }); - - const { createAlgoliaInsightsPlugin } = - window["@algolia/autocomplete-plugin-algolia-insights"]; - // Register the insights client - const algoliaInsightsPlugin = createAlgoliaInsightsPlugin({ - insightsClient: window.aa, - onItemsChange({ insights, insightsEvents }) { - const events = insightsEvents.flatMap((event) => { - // This API limits the number of items per event to 20 - const chunkSize = 20; - const itemChunks = []; - const eventItems = event.items; - for (let i = 0; i < eventItems.length; i += chunkSize) { - itemChunks.push(eventItems.slice(i, i + chunkSize)); - } - // Split the items into multiple events that can be sent - const events = itemChunks.map((items) => { - return { - ...event, - items, - }; - }); - return events; - }); - - for (const event of events) { - insights.viewedObjectIDs(event); - } - }, - }); - return algoliaInsightsPlugin; - } - }); - - // Add the plugin - autocompletePlugins.push(algoliaInsightsDeferredPlugin); - return autocompletePlugins; - } -} - -// For plugins that may not load immediately, create a wrapper -// plugin and forward events and plugin data once the plugin -// is initialized. This is useful for cases like cookie consent -// which may prevent the analytics insights event plugin from initializing -// immediately. -function deferredLoadPlugin(createPlugin) { - let plugin = undefined; - let subscribeObj = undefined; - const wrappedPlugin = () => { - if (!plugin && subscribeObj) { - plugin = createPlugin(); - if (plugin && plugin.subscribe) { - plugin.subscribe(subscribeObj); - } - } - return plugin; - }; - - return { - subscribe: (obj) => { - subscribeObj = obj; - }, - onStateChange: (obj) => { - const plugin = wrappedPlugin(); - if (plugin && plugin.onStateChange) { - plugin.onStateChange(obj); - } - }, - onSubmit: (obj) => { - const plugin = wrappedPlugin(); - if (plugin && plugin.onSubmit) { - plugin.onSubmit(obj); - } - }, - onReset: (obj) => { - const plugin = wrappedPlugin(); - if (plugin && plugin.onReset) { - plugin.onReset(obj); - } - }, - getSources: (obj) => { - const plugin = wrappedPlugin(); - if (plugin && plugin.getSources) { - return plugin.getSources(obj); - } else { - return Promise.resolve([]); - } - }, - data: (obj) => { - const plugin = wrappedPlugin(); - if (plugin && plugin.data) { - plugin.data(obj); - } - }, - }; -} - -function validateItems(items) { - // Validate the first item - if (items.length > 0) { - const item = items[0]; - const missingFields = []; - if (item.href == undefined) { - missingFields.push("href"); - } - if (!item.title == undefined) { - missingFields.push("title"); - } - if (!item.text == undefined) { - missingFields.push("text"); - } - - if (missingFields.length === 1) { - throw { - name: `Error: Search index is missing the ${missingFields[0]} field.`, - message: `The items being returned for this search do not include all the required fields. Please ensure that your index items include the ${missingFields[0]} field or use index-fields in your _quarto.yml file to specify the field names.`, - }; - } else if (missingFields.length > 1) { - const missingFieldList = missingFields - .map((field) => { - return `${field}`; - }) - .join(", "); - - throw { - name: `Error: Search index is missing the following fields: ${missingFieldList}.`, - message: `The items being returned for this search do not include all the required fields. Please ensure that your index items includes the following fields: ${missingFieldList}, or use index-fields in your _quarto.yml file to specify the field names.`, - }; - } - } -} - -let lastQuery = null; -function showCopyLink(query, options) { - const language = options.language; - lastQuery = query; - // Insert share icon - const inputSuffixEl = window.document.body.querySelector( - ".aa-Form .aa-InputWrapperSuffix" - ); - - if (inputSuffixEl) { - let copyButtonEl = window.document.body.querySelector( - ".aa-Form .aa-InputWrapperSuffix .aa-CopyButton" - ); - - if (copyButtonEl === null) { - copyButtonEl = window.document.createElement("button"); - copyButtonEl.setAttribute("class", "aa-CopyButton"); - copyButtonEl.setAttribute("type", "button"); - copyButtonEl.setAttribute("title", language["search-copy-link-title"]); - copyButtonEl.onmousedown = (e) => { - e.preventDefault(); - e.stopPropagation(); - }; - - const linkIcon = "bi-clipboard"; - const checkIcon = "bi-check2"; - - const shareIconEl = window.document.createElement("i"); - shareIconEl.setAttribute("class", `bi ${linkIcon}`); - copyButtonEl.appendChild(shareIconEl); - inputSuffixEl.prepend(copyButtonEl); - - const clipboard = new window.ClipboardJS(".aa-CopyButton", { - text: function (_trigger) { - const copyUrl = new URL(window.location); - copyUrl.searchParams.set(kQueryArg, lastQuery); - copyUrl.searchParams.set(kResultsArg, "1"); - return copyUrl.toString(); - }, - }); - clipboard.on("success", function (e) { - // Focus the input - - // button target - const button = e.trigger; - const icon = button.querySelector("i.bi"); - - // flash "checked" - icon.classList.add(checkIcon); - icon.classList.remove(linkIcon); - setTimeout(function () { - icon.classList.remove(checkIcon); - icon.classList.add(linkIcon); - }, 1000); - }); - } - - // If there is a query, show the link icon - if (copyButtonEl) { - if (lastQuery && options["copy-button"]) { - copyButtonEl.style.display = "flex"; - } else { - copyButtonEl.style.display = "none"; - } - } - } -} - -/* Search Index Handling */ -// create the index -var fuseIndex = undefined; -var shownWarning = false; - -// fuse index options -const kFuseIndexOptions = { - keys: [ - { name: "title", weight: 20 }, - { name: "section", weight: 20 }, - { name: "text", weight: 10 }, - ], - ignoreLocation: true, - threshold: 0.1, -}; - -async function readSearchData() { - // Initialize the search index on demand - if (fuseIndex === undefined) { - if (window.location.protocol === "file:" && !shownWarning) { - window.alert( - "Search requires JavaScript features disabled when running in file://... URLs. In order to use search, please run this document in a web server." - ); - shownWarning = true; - return; - } - const fuse = new window.Fuse([], kFuseIndexOptions); - - // fetch the main search.json - const response = await fetch(offsetURL("search.json")); - if (response.status == 200) { - return response.json().then(function (searchDocs) { - searchDocs.forEach(function (searchDoc) { - fuse.add(searchDoc); - }); - fuseIndex = fuse; - return fuseIndex; - }); - } else { - return Promise.reject( - new Error( - "Unexpected status from search index request: " + response.status - ) - ); - } - } - - return fuseIndex; -} - -function inputElement() { - return window.document.body.querySelector(".aa-Form .aa-Input"); -} - -function focusSearchInput() { - setTimeout(() => { - const inputEl = inputElement(); - if (inputEl) { - inputEl.focus(); - } - }, 50); -} - -/* Panels */ -const kItemTypeDoc = "document"; -const kItemTypeMore = "document-more"; -const kItemTypeItem = "document-item"; -const kItemTypeError = "error"; - -function renderItem( - item, - createElement, - state, - setActiveItemId, - setContext, - refresh, - quartoSearchOptions -) { - switch (item.type) { - case kItemTypeDoc: - return createDocumentCard( - createElement, - "file-richtext", - item.title, - item.section, - item.text, - item.href, - item.crumbs, - quartoSearchOptions - ); - case kItemTypeMore: - return createMoreCard( - createElement, - item, - state, - setActiveItemId, - setContext, - refresh - ); - case kItemTypeItem: - return createSectionCard( - createElement, - item.section, - item.text, - item.href - ); - case kItemTypeError: - return createErrorCard(createElement, item.title, item.text); - default: - return undefined; - } -} - -function createDocumentCard( - createElement, - icon, - title, - section, - text, - href, - crumbs, - quartoSearchOptions -) { - const iconEl = createElement("i", { - class: `bi bi-${icon} search-result-icon`, - }); - const titleEl = createElement("p", { class: "search-result-title" }, title); - const titleContents = [iconEl, titleEl]; - const showParent = quartoSearchOptions["show-item-context"]; - if (crumbs && showParent) { - let crumbsOut = undefined; - const crumbClz = ["search-result-crumbs"]; - if (showParent === "root") { - crumbsOut = crumbs.length > 1 ? crumbs[0] : undefined; - } else if (showParent === "parent") { - crumbsOut = crumbs.length > 1 ? crumbs[crumbs.length - 2] : undefined; - } else { - crumbsOut = crumbs.length > 1 ? crumbs.join(" > ") : undefined; - crumbClz.push("search-result-crumbs-wrap"); - } - - const crumbEl = createElement( - "p", - { class: crumbClz.join(" ") }, - crumbsOut - ); - titleContents.push(crumbEl); - } - - const titleContainerEl = createElement( - "div", - { class: "search-result-title-container" }, - titleContents - ); - - const textEls = []; - if (section) { - const sectionEl = createElement( - "p", - { class: "search-result-section" }, - section - ); - textEls.push(sectionEl); - } - const descEl = createElement("p", { - class: "search-result-text", - dangerouslySetInnerHTML: { - __html: text, - }, - }); - textEls.push(descEl); - - const textContainerEl = createElement( - "div", - { class: "search-result-text-container" }, - textEls - ); - - const containerEl = createElement( - "div", - { - class: "search-result-container", - }, - [titleContainerEl, textContainerEl] - ); - - const linkEl = createElement( - "a", - { - href: offsetURL(href), - class: "search-result-link", - }, - containerEl - ); - - const classes = ["search-result-doc", "search-item"]; - if (!section) { - classes.push("document-selectable"); - } - - return createElement( - "div", - { - class: classes.join(" "), - }, - linkEl - ); -} - -function createMoreCard( - createElement, - item, - state, - setActiveItemId, - setContext, - refresh -) { - const moreCardEl = createElement( - "div", - { - class: "search-result-more search-item", - onClick: (e) => { - // Handle expanding the sections by adding the expanded - // section to the list of expanded sections - toggleExpanded(item, state, setContext, setActiveItemId, refresh); - e.stopPropagation(); - }, - }, - item.title - ); - - return moreCardEl; -} - -function toggleExpanded(item, state, setContext, setActiveItemId, refresh) { - const expanded = state.context.expanded || []; - if (expanded.includes(item.target)) { - setContext({ - expanded: expanded.filter((target) => target !== item.target), - }); - } else { - setContext({ expanded: [...expanded, item.target] }); - } - - refresh(); - setActiveItemId(item.__autocomplete_id); -} - -function createSectionCard(createElement, section, text, href) { - const sectionEl = createSection(createElement, section, text, href); - return createElement( - "div", - { - class: "search-result-doc-section search-item", - }, - sectionEl - ); -} - -function createSection(createElement, title, text, href) { - const descEl = createElement("p", { - class: "search-result-text", - dangerouslySetInnerHTML: { - __html: text, - }, - }); - - const titleEl = createElement("p", { class: "search-result-section" }, title); - const linkEl = createElement( - "a", - { - href: offsetURL(href), - class: "search-result-link", - }, - [titleEl, descEl] - ); - return linkEl; -} - -function createErrorCard(createElement, title, text) { - const descEl = createElement("p", { - class: "search-error-text", - dangerouslySetInnerHTML: { - __html: text, - }, - }); - - const titleEl = createElement("p", { - class: "search-error-title", - dangerouslySetInnerHTML: { - __html: ` ${title}`, - }, - }); - const errorEl = createElement("div", { class: "search-error" }, [ - titleEl, - descEl, - ]); - return errorEl; -} - -function positionPanel(pos) { - const panelEl = window.document.querySelector( - "#quarto-search-results .aa-Panel" - ); - const inputEl = window.document.querySelector( - "#quarto-search .aa-Autocomplete" - ); - - if (panelEl && inputEl) { - panelEl.style.top = `${Math.round(panelEl.offsetTop)}px`; - if (pos === "start") { - panelEl.style.left = `${Math.round(inputEl.left)}px`; - } else { - panelEl.style.right = `${Math.round(inputEl.offsetRight)}px`; - } - } -} - -/* Highlighting */ -// highlighting functions -function highlightMatch(query, text) { - if (text) { - const start = text.toLowerCase().indexOf(query.toLowerCase()); - if (start !== -1) { - const startMark = ""; - const endMark = ""; - - const end = start + query.length; - text = - text.slice(0, start) + - startMark + - text.slice(start, end) + - endMark + - text.slice(end); - const startInfo = clipStart(text, start); - const endInfo = clipEnd( - text, - startInfo.position + startMark.length + endMark.length - ); - text = - startInfo.prefix + - text.slice(startInfo.position, endInfo.position) + - endInfo.suffix; - - return text; - } else { - return text; - } - } else { - return text; - } -} - -function clipStart(text, pos) { - const clipStart = pos - 50; - if (clipStart < 0) { - // This will just return the start of the string - return { - position: 0, - prefix: "", - }; - } else { - // We're clipping before the start of the string, walk backwards to the first space. - const spacePos = findSpace(text, pos, -1); - return { - position: spacePos.position, - prefix: "", - }; - } -} - -function clipEnd(text, pos) { - const clipEnd = pos + 200; - if (clipEnd > text.length) { - return { - position: text.length, - suffix: "", - }; - } else { - const spacePos = findSpace(text, clipEnd, 1); - return { - position: spacePos.position, - suffix: spacePos.clipped ? "…" : "", - }; - } -} - -function findSpace(text, start, step) { - let stepPos = start; - while (stepPos > -1 && stepPos < text.length) { - const char = text[stepPos]; - if (char === " " || char === "," || char === ":") { - return { - position: step === 1 ? stepPos : stepPos - step, - clipped: stepPos > 1 && stepPos < text.length, - }; - } - stepPos = stepPos + step; - } - - return { - position: stepPos - step, - clipped: false, - }; -} - -// removes highlighting as implemented by the mark tag -function clearHighlight(searchterm, el) { - const childNodes = el.childNodes; - for (let i = childNodes.length - 1; i >= 0; i--) { - const node = childNodes[i]; - if (node.nodeType === Node.ELEMENT_NODE) { - if ( - node.tagName === "MARK" && - node.innerText.toLowerCase() === searchterm.toLowerCase() - ) { - el.replaceChild(document.createTextNode(node.innerText), node); - } else { - clearHighlight(searchterm, node); - } - } - } -} - -function escapeRegExp(string) { - return string.replace(/[.*+?^${}()|[\]\\]/g, "\\$&"); // $& means the whole matched string -} - -// highlight matches -function highlight(term, el) { - const termRegex = new RegExp(term, "ig"); - const childNodes = el.childNodes; - - // walk back to front avoid mutating elements in front of us - for (let i = childNodes.length - 1; i >= 0; i--) { - const node = childNodes[i]; - - if (node.nodeType === Node.TEXT_NODE) { - // Search text nodes for text to highlight - const text = node.nodeValue; - - let startIndex = 0; - let matchIndex = text.search(termRegex); - if (matchIndex > -1) { - const markFragment = document.createDocumentFragment(); - while (matchIndex > -1) { - const prefix = text.slice(startIndex, matchIndex); - markFragment.appendChild(document.createTextNode(prefix)); - - const mark = document.createElement("mark"); - mark.appendChild( - document.createTextNode( - text.slice(matchIndex, matchIndex + term.length) - ) - ); - markFragment.appendChild(mark); - - startIndex = matchIndex + term.length; - matchIndex = text.slice(startIndex).search(new RegExp(term, "ig")); - if (matchIndex > -1) { - matchIndex = startIndex + matchIndex; - } - } - if (startIndex < text.length) { - markFragment.appendChild( - document.createTextNode(text.slice(startIndex, text.length)) - ); - } - - el.replaceChild(markFragment, node); - } - } else if (node.nodeType === Node.ELEMENT_NODE) { - // recurse through elements - highlight(term, node); - } - } -} - -/* Link Handling */ -// get the offset from this page for a given site root relative url -function offsetURL(url) { - var offset = getMeta("quarto:offset"); - return offset ? offset + url : url; -} - -// read a meta tag value -function getMeta(metaName) { - var metas = window.document.getElementsByTagName("meta"); - for (let i = 0; i < metas.length; i++) { - if (metas[i].getAttribute("name") === metaName) { - return metas[i].getAttribute("content"); - } - } - return ""; -} - -function algoliaSearch(query, limit, algoliaOptions) { - const { getAlgoliaResults } = window["@algolia/autocomplete-preset-algolia"]; - - const applicationId = algoliaOptions["application-id"]; - const searchOnlyApiKey = algoliaOptions["search-only-api-key"]; - const indexName = algoliaOptions["index-name"]; - const indexFields = algoliaOptions["index-fields"]; - const searchClient = window.algoliasearch(applicationId, searchOnlyApiKey); - const searchParams = algoliaOptions["params"]; - const searchAnalytics = !!algoliaOptions["analytics-events"]; - - return getAlgoliaResults({ - searchClient, - queries: [ - { - indexName: indexName, - query, - params: { - hitsPerPage: limit, - clickAnalytics: searchAnalytics, - ...searchParams, - }, - }, - ], - transformResponse: (response) => { - if (!indexFields) { - return response.hits.map((hit) => { - return hit.map((item) => { - return { - ...item, - text: highlightMatch(query, item.text), - }; - }); - }); - } else { - const remappedHits = response.hits.map((hit) => { - return hit.map((item) => { - const newItem = { ...item }; - ["href", "section", "title", "text", "crumbs"].forEach( - (keyName) => { - const mappedName = indexFields[keyName]; - if ( - mappedName && - item[mappedName] !== undefined && - mappedName !== keyName - ) { - newItem[keyName] = item[mappedName]; - delete newItem[mappedName]; - } - } - ); - newItem.text = highlightMatch(query, newItem.text); - return newItem; - }); - }); - return remappedHits; - } - }, - }); -} - -let subSearchTerm = undefined; -let subSearchFuse = undefined; -const kFuseMaxWait = 125; - -async function fuseSearch(query, fuse, fuseOptions) { - let index = fuse; - // Fuse.js using the Bitap algorithm for text matching which runs in - // O(nm) time (no matter the structure of the text). In our case this - // means that long search terms mixed with large index gets very slow - // - // This injects a subIndex that will be used once the terms get long enough - // Usually making this subindex is cheap since there will typically be - // a subset of results matching the existing query - if (subSearchFuse !== undefined && query.startsWith(subSearchTerm)) { - // Use the existing subSearchFuse - index = subSearchFuse; - } else if (subSearchFuse !== undefined) { - // The term changed, discard the existing fuse - subSearchFuse = undefined; - subSearchTerm = undefined; - } - - // Search using the active fuse - const then = performance.now(); - const resultsRaw = await index.search(query, fuseOptions); - const now = performance.now(); - - const results = resultsRaw.map((result) => { - const addParam = (url, name, value) => { - const anchorParts = url.split("#"); - const baseUrl = anchorParts[0]; - const sep = baseUrl.search("\\?") > 0 ? "&" : "?"; - anchorParts[0] = baseUrl + sep + name + "=" + value; - return anchorParts.join("#"); - }; - - return { - title: result.item.title, - section: result.item.section, - href: addParam(result.item.href, kQueryArg, query), - text: highlightMatch(query, result.item.text), - crumbs: result.item.crumbs, - }; - }); - - // If we don't have a subfuse and the query is long enough, go ahead - // and create a subfuse to use for subsequent queries - if (now - then > kFuseMaxWait && subSearchFuse === undefined) { - subSearchTerm = query; - subSearchFuse = new window.Fuse([], kFuseIndexOptions); - resultsRaw.forEach((rr) => { - subSearchFuse.add(rr.item); - }); - } - return results; -} diff --git a/docs/wrangle.html b/docs/wrangle.html deleted file mode 100644 index df38c37..0000000 --- a/docs/wrangle.html +++ /dev/null @@ -1,672 +0,0 @@ - - - - - - - - - -R for Psychology - 4  Wrangle - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - -
- - -
- - - -
- -
-
-

4  Wrangle

-
- - - -
- - - - -
- - - -
- - -
-

4.1 Clean names

-
-
-

4.2 Dealing with labels

-
-
-

4.3 Exclusions

-

mutate case_when

-

filter

-
-
-

4.4 Creating scales and indexes

-

group_by summarise

-

row_wise mutate

-
-

4.4.1 Checking reliabilty

- - -
-
- -
- - -
- - - - - \ No newline at end of file
- -

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