Rstatix: Pipe-Friendly Framework for Basic Statistical Tests in R

An R package by Alboukadel Kassambara providing a pipe-friendly framework for statistical analysis. It supports basic tests like t-tests, ANOVA, and correlation analyses, with outputs automatically formatted as tidy data frames. The package includes functions for effect size calculation, outlier identification, and assumption checking for factorial experimental designs.

Use Cases

• Perform hypothesis testing (e.g., t-test, Wilcoxon test) based on the described statistical test functions.
• Conduct ANOVA and Kruskal-Wallis tests for group comparisons based on the framework's support for factorial designs.
• Compute correlation matrices and visualize relationships based on the described reshaping and visualization functions.
• Calculate effect size metrics like eta-squared and Cohen's d based on the package's included helper functions.
• Assess data assumptions and identify outliers based on the described functions for normality and variance checks.

Strengths

• Outputs are automatically transformed into tidy data frames, which facilitates visualization.
• Supports a range of statistical tests including t-test, Wilcoxon, ANOVA, Kruskal-Wallis, and correlation analyses.
• Includes functions for analyzing factorial experiments with within-subjects, between-subjects, and mixed designs.
• Provides helper functions for calculating multiple effect size metrics and assessing statistical assumptions.

Limitations

• Row count and dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

paperswithcode

Collection Method

Software package publication.