Function reference • ggstatsplot

Hypothesis about group differences

ggbetweenstats(): Box/Violin plots for between-subjects comparisons

ggwithinstats(): Box/Violin plots for repeated measures comparisons

gghistostats(): Histogram for distribution of a numeric variable

ggdotplotstats(): Dot plot/chart for labeled numeric data.

Hypothesis about correlation

ggscatterstats(): Scatterplot with marginal distributions and statistical results

ggcorrmat(): Visualization of a correlation matrix

Hypothesis about composition of categorical variables

ggpiestats(): Pie charts with statistical tests

ggbarstats(): Stacked bar charts with statistical tests

Hypothesis about regression coefficients

ggcoefstats(): Dot-and-whisker plots for regression analyses

Grouped variants of primary functions

Convenience functions to repeat analysis across a single grouping

grouped_ggbarstats(): Grouped bar charts with statistical tests

grouped_ggbetweenstats(): Violin plots for group or condition comparisons in between-subjects designs repeated across all levels of a grouping variable.

grouped_ggcorrmat(): Visualization of a correlalogram (or correlation matrix) for all levels of a grouping variable

grouped_ggdotplotstats(): Grouped histograms for distribution of a labeled numeric variable

grouped_gghistostats(): Grouped histograms for distribution of a numeric variable

grouped_ggpiestats(): Grouped pie charts with statistical tests

grouped_ggscatterstats(): Scatterplot with marginal distributions for all levels of a grouping variable

grouped_ggwithinstats(): Violin plots for group or condition comparisons in within-subjects designs repeated across all levels of a grouping variable.

Helper functions

Statistics and graphics-related helpers

reexports %>% pairwise_comparisons: Objects exported from other packages

extract_stats() extract_subtitle() extract_caption(): Extracting data frames or expressions from ggstatsplot plots

theme_ggstatsplot(): Default theme used in ggstatsplot

combine_plots(): Combining and arranging multiple plots in a grid

Data

Datasets included in the package.

movies_long: Movie information and user ratings from IMDB.com (long format).

Titanic_full: Titanic dataset.

iris_long: Edgar Anderson's Iris Data in long format.

bugs_wide: Wide-format version of the "Bugs" dataset.

bugs_long: Tidy version of the "Bugs" dataset.