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: 0.6.5
Depends: R (≥ 3.6.0)
Imports: broomExtra (≥ 4.1.0), cowplot, dplyr, effectsize (≥ 0.4.0), ggcorrplot, ggExtra, ggplot2, ggrepel, ggsignif, insight (≥ 0.10.0), ipmisc (≥ 4.1.0), pairwiseComparisons (≥ 3.1.0), paletteer, parameters (≥ 0.9.0), purrr, rlang, stats, statsExpressions (≥ 0.6.0), tidyr
Suggests: forcats, knitr, MASS, rmarkdown, spelling, testthat, tibble, WRS2
Published: 2020-10-31
Author: Indrajeet Patil ORCID iD [cre, aut, cph] (@patilindrajeets)
Maintainer: Indrajeet Patil <patilindrajeet.science at gmail.com>
BugReports: https://github.com/IndrajeetPatil/ggstatsplot/issues
License: GPL-3 | file LICENSE
URL: https://indrajeetpatil.github.io/ggstatsplot/, https://github.com/IndrajeetPatil/ggstatsplot
NeedsCompilation: no
Language: en-US
Citation: ggstatsplot citation info
Materials: README NEWS
CRAN checks: ggstatsplot results

Downloads:

Reference manual: ggstatsplot.pdf
Vignettes: additional vignettes
Package source: ggstatsplot_0.6.5.tar.gz
Windows binaries: r-devel: ggstatsplot_0.6.5.zip, r-release: ggstatsplot_0.6.5.zip, r-oldrel: ggstatsplot_0.6.5.zip
macOS binaries: r-release: ggstatsplot_0.6.5.tgz, r-oldrel: ggstatsplot_0.6.5.tgz
Old sources: ggstatsplot archive

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