Additional vignettes

Additional vignettes

Due to size constraints, all available vignettes are only available on the website for this package:
https://indrajeetpatil.github.io/ggstatsplot/articles/

Vignettes for individual functions

• ggbetweenstats: https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/ggbetweenstats.html

• ggwithinstats: https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/ggwithinstats.html

• ggcorrmat: https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/ggcorrmat.html

• gghistostats: https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/gghistostats.html

• ggdotplotstats: https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/ggdotplotstats.html

• ggpiestats: https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/ggpiestats.html

• ggscatterstats: https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/ggscatterstats.html

• ggcoefstats: https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/ggcoefstats.html

General vignettes

• Frequently Asked Questions (FAQ): https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/faq.html

• Graphic design and statistical reporting principles guiding ggstatsplot development: https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/principles.html

• Examples illustrating how to use purrr to extend ggstatsplot functionality: https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/purrr_examples.html

• Pairwise comparisons with ggstatsplot: https://indrajeetpatil.github.io/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://indrajeetpatil.github.io/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://indrajeetpatil.github.io/statsExpressions/

Suggestions

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