# Additional vignettes

Due to size constraints, all available vignettes are only available on the website for this package:
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