Pipe-Friendly Framework for Basic Statistical Tests

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.


Reference manual

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0.6.0 by Alboukadel Kassambara, 2 months ago


Report a bug at https://github.com/kassambara/rstatix/issues

Browse source code at https://github.com/cran/rstatix

Authors: Alboukadel Kassambara [aut, cre]

Documentation:   PDF Manual  

GPL-2 license

Imports stats, utils, tidyr, purrr, broom, rlang, tibble, dplyr, magrittr, corrplot, tidyselect, car, generics

Suggests knitr, rmarkdown, ggpubr, graphics, emmeans, coin, boot, testthat, spelling

Imported by ggpubr.

See at CRAN