IndrajeetPatil/ggstatsplot

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

2197 stars · 201 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

An R extension package for ggplot2 that embeds results of statistical tests (p-values, effect sizes, Bayes factors, confidence intervals) directly into plots as subtitles and annotations. It merges data visualization and statistical modeling into a single exploratory analysis step.

Use cases

• add statistical test results to ggplot2 plots
• create boxplots with p-values and effect sizes
• visualize correlations with significance annotations
• run exploratory data analysis with stats in the plot
• make pie and bar charts with chi-squared test results
• annotate pairwise comparisons with significance brackets

When to choose

• you use R and ggplot2 for exploratory data analysis
• you want plots that self-document their statistical tests
• you need publication-ready figures with statistical details
• you want both frequentist and Bayesian test summaries in one plot

When to avoid

• you need interactive or web-based visualization
• you work outside R or don't use ggplot2
• you need full control over plot layout without statistical annotations
• you need a general-purpose plotting library with no stats overhead

Facets

library · maturity stable

data-visualization charts data-science analytics data-visualization data-science cross-platform cli r-package ggplot2-extension statistical-plotting bayes-factors hypothesis-testing effect-size exploratory-data-analysis cran statistics r

Member repositories

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markdown · JSON · MCP: product_card(name="IndrajeetPatil/ggstatsplot")