# additional vignettes

#### Indrajeet Patil

#### 2020-03-06

# Additional vignettes

Due to constraints on the size of the `R` package, 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)

- How to arrange multiple plots in a single plot along with annotations using the `combine_plots` helper function: (https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/combine_plots.html)

- Default theme (`theme_ggstatsplot`) used for the package and how it can be modified: (https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/theme_ggstatsplot.html)

## General vignettes

- Introduction to `ggstatsplot` (publication describing philosophy and principles behind this package): (https://github.com/IndrajeetPatil/ggstatsplot/blob/master/paper/paper.pdf)

- Interpreting effect sizes for different tests: (https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/effsize_interpretation.html)

- Gallery of `ggstatsplot` examples (shows how `ggstatsplot` can be further modified using `ggplot2` functions): (https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/gallery.html)

- Examples illustrating how to use functional programming package like `purrr` to extend `ggstatsplot` functionality- (https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/purrr_examples.html)

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

- Session information: (https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/session_info.html)

# 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/ggstatsplot_slides/slides/ggstatsplot_presentation.html#1

# Components of `ggstatsplot`

To make the maintenance and development of `ggstatsplot` more manageable, it is being broken into smaller pieces.

## `statsExpressions`

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

For more exhaustive documentation for this package, see: https://indrajeetpatil.github.io/statsExpressions/

## `pairwiseComparisons`

The `pairwiseComparisons` package forms the pairwise comparison backend for creating results that are used to display post hoc multiple comparisons displayed in `ggbetweenstats` and `ggwithinstats` functions.

For more exhaustive documentation for this package, see: https://indrajeetpatil.github.io/pairwiseComparisons/

## `ipmisc`

The `ipmisc` package contains some of the data wrangling/cleaning functions and a few other miscellaneous functions.

For more exhaustive documentation for this package, see: https://indrajeetpatil.github.io/ipmisc/

# Other resources

Few other people have also written about `ggstatsplot` and its usage in their workflows: (https://indrajeetpatil.github.io/ggstatsplot/articles/web_only/other_resources.html)

# Suggestions

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