ggstatsplot: 'ggplot2' Based Plots with Statistical Details

Extension of 'ggplot2', 'ggstatsplot' creates graphics with details from statistical tests included in the plots themselves. It is targeted primarily at behavioral sciences community to provide a one-line code 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, and regression analyses.

Package details

AuthorIndrajeet Patil [cre, aut, ctb] (<https://orcid.org/0000-0003-1995-6531>), Chuck Powell [aut, ctb] (<https://orcid.org/0000-0002-3606-2188>)
MaintainerIndrajeet Patil <[email protected]>
LicenseGPL-3 | file LICENSE
Version0.0.10
URL https://indrajeetpatil.github.io/ggstatsplot/ https://github.com/IndrajeetPatil/ggstatsplot
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ggstatsplot")

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ggstatsplot documentation built on March 18, 2019, 1:04 a.m.