'ggplot2' Based Plots with Statistical Details
Combining and arranging multiple plots in a grid
Split data frame into a list by grouping variable
Check if palette has enough number of colors
Extracting data frames or expressions from {ggstatsplot} plots
Stacked bar charts with statistical tests
Box/Violin plots for between-subjects comparisons
Dot-and-whisker plots for regression analyses
Visualization of a correlation matrix
Dot plot/chart for labeled numeric data.
Histogram for distribution of a numeric variable
Pie charts with statistical tests
Scatterplot with marginal distributions and statistical results
ggstatsplot: 'ggplot2' Based Plots with Statistical Details
Box/Violin plots for repeated measures comparisons
Grouped bar charts with statistical tests
Violin plots for group or condition comparisons in between-subjects de...
Visualization of a correlalogram (or correlation matrix) for all level...
Grouped histograms for distribution of a labeled numeric variable
Grouped histograms for distribution of a numeric variable
Grouped pie charts with statistical tests
Scatterplot with marginal distributions for all levels of a grouping v...
Violin plots for group or condition comparisons in within-subjects des...
Objects exported from other packages
Default theme used in {ggstatsplot}
Extension of 'ggplot2', 'ggstatsplot' creates graphics with details from statistical tests included in the plots themselves. It provides an easier syntax to generate information-rich plots for statistical analysis of continuous (violin plots, scatterplots, histograms, dot plots, dot-and-whisker plots) or categorical (pie and bar charts) data. Currently, it supports the most common types of statistical approaches and tests: parametric, nonparametric, robust, and Bayesian versions of t-test/ANOVA, correlation analyses, contingency table analysis, meta-analysis, and regression analyses. References: Patil (2021) <doi:10.21105/joss.03236>.
Useful links