ggstatsplot
'ggplot2' Based Plots with Statistical Details
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.13.6 |
2026-04-09 windows/windows R-4.5 | ggstatsplot_0.13.6.zip |
3.1 MiB |
Dependencies (latest)
Imports
- correlation (>= 0.8.8)
- datawizard (>= 1.3.0)
- dplyr (>= 1.2.1)
- ggcorrplot (>= 0.1.4.1)
- ggplot2 (>= 4.0.2)
- ggrepel (>= 0.9.8)
- ggside (>= 0.4.1)
- ggsignif (>= 0.6.4)
- glue (>= 1.8.0)
- insight (>= 1.4.6)
- magrittr (>= 2.0.4)
- paletteer (>= 1.7.0)
- parameters (>= 0.28.3)
- patchwork (>= 1.3.2)
- performance (>= 0.16.0)
- purrr (>= 1.2.1)
- rlang (>= 1.1.7)
- statsExpressions (>= 1.7.4)
- tidyr (>= 1.3.2)
- utils