---
title: "Additional vignettes"
output:
  rmarkdown::html_vignette:
    toc: true
vignette: >
  %\VignetteIndexEntry{Additional vignettes}
  %\VignetteEngine{knitr::rmarkdown}
  %\VignetteEncoding{UTF-8}
---

Due to size constraints, all available vignettes are only available on the
website for this package: <br>
<https://www.indrapatil.com/ggstatsplot/articles/>

### Vignettes for individual functions

  - `ggbetweenstats`:
    <https://www.indrapatil.com/ggstatsplot/articles/web_only/ggbetweenstats.html>

  - `ggwithinstats`:
    <https://www.indrapatil.com/ggstatsplot/articles/web_only/ggwithinstats.html>

  - `ggcorrmat`:
    <https://www.indrapatil.com/ggstatsplot/articles/web_only/ggcorrmat.html>

  - `gghistostats`:
    <https://www.indrapatil.com/ggstatsplot/articles/web_only/gghistostats.html>

  - `ggdotplotstats`:
    <https://www.indrapatil.com/ggstatsplot/articles/web_only/ggdotplotstats.html>

  - `ggpiestats`:
    <https://www.indrapatil.com/ggstatsplot/articles/web_only/ggpiestats.html>

  - `ggscatterstats`:
    <https://www.indrapatil.com/ggstatsplot/articles/web_only/ggscatterstats.html>

  - `ggcoefstats`:
    <https://www.indrapatil.com/ggstatsplot/articles/web_only/ggcoefstats.html>

### General vignettes

  - Frequently Asked Questions (FAQ):
  <https://www.indrapatil.com/ggstatsplot/articles/web_only/faq.html>

  - Graphic design and statistical reporting principles guiding `{ggstatsplot}`
    development:
    <https://www.indrapatil.com/ggstatsplot/articles/web_only/principles.html>

  - Examples illustrating how to use `{purrr}` to extend `{ggstatsplot}` functionality:
    <https://www.indrapatil.com/ggstatsplot/articles/web_only/purrr_examples.html>

- Pairwise comparisons with `{ggstatsplot}`:
<https://www.indrapatil.com/ggstatsplot/articles/web_only/pairwise.html>

## Publication

A journal articles describing philosophy and principles behind this package:
<https://joss.theoj.org/papers/10.21105/joss.03167>

## Presentation

In addition to these vignettes, another quick way to get an overview of this
package is to go through the following slides:
<https://www.indrapatil.com/intro-to-ggstatsplot/#/ggstatsplot-informative-statistical-visualizations>

## Statistical backend of `{ggstatsplot}`

The `{statsExpressions}` package forms the statistical backend that processes data
and creates data frames and expressions containing results from statistical
tests.

For more exhaustive documentation for this package, see:
<https://www.indrapatil.com/statsExpressions/>

## Suggestions

If you find any bugs or have any suggestions/remarks, please file an issue on
`GitHub`: <https://github.com/IndrajeetPatil/ggstatsplot/issues>
