ggstatsplot: R Package for Statistical Plots with Integrated Test Details
by Indrajeet Patil
Available on 1 platform
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Description
ggstatsplot is an R package that extends 'ggplot2' to create graphics with statistical test details included directly in the plots. The package, authored by Indrajeet Patil and referenced in a 2021 JOSS publication, provides a simplified syntax for generating plots for continuous and categorical data analysis. It supports common statistical approaches including parametric, nonparametric, robust, and Bayesian versions of tests like t-tests, ANOVA, correlation, and regression.
Use Cases
Generate violin or scatter plots with integrated statistical test results for continuous variable analysis.
Create bar or pie charts with contingency table analysis details for categorical data.
Perform and visualize meta-analysis or regression analysis results within a single graphic.
Strengths
Integrates statistical test details directly into visualizations, reducing reporting errors.
Supports a wide range of common statistical tests including parametric, nonparametric, robust, and Bayesian approaches.
Provides a unified, easier syntax based on the widely-used 'ggplot2' package.
Limitations
Description metadata is limited; actual data quality requires manual inspection after download.
Column-level documentation is absent; field semantics must be inferred after download.
Provenance
Source
Indrajeet Patil
Collection Method
Software package development and publication.
Time Range
Referenced in a 2021 publication.
Freshness
Last update date is unknown; freshness unverified.
Geography
Global
License is listed as 'closed'; users must verify specific terms before use.