· 2019
rstatix: Pipe-Friendly Framework for Basic Statistical Tests
- 1,850citations
- 2019year
Short summary
The rstatix R package offers a user-friendly, pipe-friendly framework for conducting common statistical tests and visualizing results, designed to integrate seamlessly with the 'tidyverse'.
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Key points
- Offers a pipe-friendly interface for t-test, Wilcoxon, ANOVA, Kruskal-Wallis, and correlation analyses.
- Automatically converts statistical test outputs into tidy data frames for easier downstream use.
- Includes functions for analyzing within-Ss, between-Ss, and mixed-design factorial experiments.
- Provides helper functions for effect sizes, outlier identification, normality, and homogeneity of variance checks.
AI-generated from the title and abstract; the full text is not read.
Abstract
Provides a simple and intuitive pipe-friendly framework, coherent with the 'tidyverse' design philosophy, for performing basic statistical tests, including t-test, Wilcoxon test, ANOVA, Kruskal-Wallis and correlation analyses. The output of each test is automatically transformed into a tidy data frame to facilitate visualization. Additional functions are available for reshaping, reordering, manipulating and visualizing correlation matrix. Functions are also included to facilitate the analysis of factorial experiments, including purely 'within-Ss' designs (repeated measures), purely 'between-Ss' designs, and mixed 'within-and-between-Ss' designs. It's also possible to compute several effect size metrics, including "eta squared" for ANOVA, "Cohen's d" for t-test and 'Cramer V' for the association between categorical variables. The package contains helper functions for identifying univariate and multivariate outliers, assessing normality and homogeneity of variances.
The authors' abstract, as published at the source., 2019 · DOI ↗
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Field: Control and Systems Engineering
Control and Systems EngineeringEngineering