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: 0.12.1
Depends: R (≥ 4.1.0)
Imports: correlation, datawizard (≥ 0.9.0), dplyr (≥ 1.1.3), ggcorrplot, ggplot2 (≥ 3.4.3), ggrepel (≥ 0.9.3), ggside (≥ 0.2.2), ggsignif (≥ 0.6.4), glue, insight (≥ 0.19.5), paletteer, parameters (≥ 0.21.2), patchwork, performance (≥ 0.10.5), purrr (≥ 1.0.2), rlang, stats, statsExpressions (≥ 1.5.2), tidyr, utils
Suggests: afex, BayesFactor (≥ 0.9.12-4.4), gapminder, knitr, lme4, MASS, metaBMA, metafor, metaplus, PMCMRplus (≥ 1.9.7), psych, rmarkdown, survival, testthat (≥ 3.1.10), tibble, vdiffr (≥ 1.0.6), withr, WRS2
Published: 2023-09-20
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_0.12.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ggstatsplot_0.12.1.tgz, r-oldrel (arm64): ggstatsplot_0.12.1.tgz, r-release (x86_64): ggstatsplot_0.12.1.tgz, r-oldrel (x86_64): ggstatsplot_0.12.1.tgz
Old sources: ggstatsplot archive

Reverse dependencies:

Reverse imports: Multiaovbay
Reverse suggests: UCSCXenaShiny


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