# additional vignettes

#### Indrajeet Patil

#### 2020-05-30

# 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. Currently, the package internally relies on the following packages that manage different aspects of statistical analyses:

## `statsExpressions`

The `statsExpressions` package forms the statistical backend that processes data and creates expressions containing results from statistical tests and are by default displayed in as plot subtitle.

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

## `tidyBF`

The `tidyBF` package forms the backend that processes data and creates expressions containing results from Bayes Factor tests and are by default displayed in as plot caption.

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

## `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