ggstatsplot: R Package for Statistical Plots with Integrated Test Details

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