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 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.

Version:	0.7.0
Depends:	R (≥ 3.6.0)
Imports:	correlation (≥ 0.6.0), dplyr, ggcorrplot, ggExtra, ggplot2, ggrepel, ggsignif, insight (≥ 0.13.0), ipmisc (≥ 6.0.0), pairwiseComparisons (≥ 3.1.3), paletteer, parameters (≥ 0.11.0), patchwork, performance, purrr, rlang, stats, statsExpressions (≥ 0.7.1), tidyr, utils
Suggests:	forcats, knitr, MASS, metaBMA, metafor, rmarkdown, spelling, testthat, tibble, vdiffr, WRS2
Published:	2021-02-19
Author:	Indrajeet Patil [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

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