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ggstatsplot: 'ggplot2' Based Plots with Statistical Details

Name: ggstatsplot: 'ggplot2' Based Plots with Statistical Details
Creator: Patil, Indrajeet
Keywords: non-parametric-statistics, dataviz, statistical-analysis, tidy-data, r, parametric, plot, robust-statistics, violin-plot, effect-size

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 15 Jan 2022Publisher:Zenodo

Authors: Patil, Indrajeet;

ggstatsplot: 'ggplot2' Based Plots with Statistical Details

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Abstract

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) .

To cite package "ggstatsplot" in publications use:

Keywords

non-parametric-statistics, dataviz, statistical-analysis, tidy-data, r, parametric, plot, robust-statistics, violin-plot, effect-size, meta-analysis, bayes-factors, correlation, regression-models, datascience, ggplot-extension, correlation-matrices, hypothesis-testing, visualization

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