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 API 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 only the most common types of statistical tests: parametric, nonparametric, robust, and Bayesian versions of t-test/ANOVA, correlation analyses, contingency table analysis, meta-analysis, and regression analyses.

Version: 0.6.1
Depends: R (≥ 3.6.0)
Imports: broomExtra, cowplot, dplyr, effectsize, ggcorrplot, ggExtra, ggplot2, ggrepel, ggsignif, insight, ipmisc (≥ 4.0.0), pairwiseComparisons (≥ 3.0.0), paletteer, parameters, purrr, rlang, stats, statsExpressions (≥ 0.5.1), tidyr
Suggests: forcats, knitr, MASS, rmarkdown, spelling, testthat, tibble, WRS2
Published: 2020-10-06
Author: Indrajeet Patil ORCID iD [cre, aut, cph]
Maintainer: Indrajeet Patil < at>
License: GPL-3 | file LICENSE
NeedsCompilation: no
Language: en-US
Citation: ggstatsplot citation info
Materials: README NEWS
CRAN checks: ggstatsplot results


Reference manual: ggstatsplot.pdf
Vignettes: additional vignettes
Package source: ggstatsplot_0.6.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: ggstatsplot_0.6.1.tgz, r-oldrel: ggstatsplot_0.6.1.tgz
Old sources: ggstatsplot archive


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