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>.

Version: 0.10.0
Depends: R (≥ 4.0.0)
Imports: correlation (≥ 0.8.3), datawizard (≥ 0.6.4), dplyr, ggplot2 (≥ 3.4.0), ggrepel, ggsignif, glue, insight (≥ 0.18.8), paletteer, parameters (≥ 0.20.0), patchwork, performance (≥ 0.10.1), purrr, rlang, stats, statsExpressions (≥ 1.3.5), tidyr, utils
Suggests: afex, BayesFactor (≥ 0.9.12-4.4), gapminder, ggcorrplot (≥ 0.1.4), ggside (≥ 0.2.1), knitr, lme4, MASS, metaBMA, metafor, metaplus, PMCMRplus, psych, rmarkdown, spelling, survival, testthat (≥ 3.1.5), tibble, vdiffr, WRS2
Published: 2022-11-27
Author: Indrajeet Patil ORCID iD [cre, aut, cph] (@patilindrajeets), Chuck Powell ORCID iD [ctb]
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
Visualizations with statistical details: The 'ggstatsplot' approach


Package source: ggstatsplot_0.10.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ggstatsplot_0.10.0.tgz, r-oldrel (arm64): ggstatsplot_0.10.0.tgz, r-release (x86_64): ggstatsplot_0.10.0.tgz, r-oldrel (x86_64): ggstatsplot_0.10.0.tgz
Old sources: ggstatsplot archive

Reverse dependencies:

Reverse suggests: metabolomicsR, UCSCXenaShiny


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