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rstatix
View on CRAN: Click
here
Download and install rstatix package within the R console
Install from CRAN:
install.packages("rstatix")
Install from Github:
library("remotes")
install_github("cran/rstatix")
Install by package version:
library("remotes")
install_version("rstatix", "0.7.2")
Attach the package and use:
library("rstatix")
Maintained by
Alboukadel Kassambara
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-05-27
Latest Update: 2023-02-01
Description:
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.
How to cite:
Alboukadel Kassambara (2019). rstatix: Pipe-Friendly Framework for Basic Statistical Tests. R package version 0.7.2, https://cran.r-project.org/web/packages/rstatix. Accessed 21 Dec. 2024.
Previous versions and publish date:
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Complete documentation for rstatix
Functions, R codes and Examples using
the rstatix R package
Some associated functions: Manova . add_significance . adjust_pvalue . anova_summary . anova_test . as_cor_mat . binom_test . box_m . chisq_test . cochran_qtest . cohens_d . cor_as_symbols . cor_mark_significant . cor_mat . cor_plot . cor_reorder . cor_reshape . cor_select . cor_test . counts_to_cases . cramer_v . df_arrange . df_get_var_names . df_group_by . df_label_value . df_nest_by . df_select . df_split_by . df_unite . doo . dunn_test . emmeans_test . eta_squared . factorial_design . factors . fisher_test . freq_table . friedman_effsize . friedman_test . games_howell_test . get_comparisons . get_mode . get_pvalue_position . get_summary_stats . get_test_label . kruskal_effsize . kruskal_test . levene_test . mahalanobis_distance . make_clean_names . mcnemar_test . multinom_test . outliers . p_value . pipe . prop_test . prop_trend_test . pull_triangle . reexports . remove_ns . replace_triangle . sample_n_by . shapiro_test . sign_test . t_test . tukey_hsd . welch_anova_test . wilcox_effsize . wilcox_test .
Some associated R codes: add_significance.R . adjust_pvalue.R . anova_summary.R . anova_test.R . as_cor_mat.R . binom_test.R . box_m.R . chisq_test.R . cochran_qtest.R . cohens_d.R . cor_as_symbols.R . cor_mark_significant.R . cor_mat.R . cor_plot.R . cor_reorder.R . cor_reshape.R . cor_select.R . cor_test.R . counts_to_cases.R . cramer_v.R . df.R . doo.R . dunn_test.R . emmeans_test.R . eta_squared.R . factorial_design.R . factors.R . fisher_test.R . freq_table.R . friedman_effsize.R . friedman_test.R . games_howell_test.R . get_comparisons.R . get_manova_table.R . get_mode.R . get_pvalue_position.R . get_summary_stats.R . get_test_label.R . kruskal_effesize.R . kruskal_test.R . levene_test.R . mahalanobis_distance.R . make_clean_names.R . mcnemar_test.R . multinom_test.R . outliers.R . p_value.R . prop_test.R . prop_trend_test.R . pull_triangle.R . reexports.R . remove_ns.R . replace_triangle.R . sample_n_by.R . shapiro_test.R . sign_test.R . t_test.R . tukey_hsd.R . utilities.R . utilities_two_sample_test.R . utils-manova.R . utils-pipe.R . welch_anova_test.R . wilcox_effsize.R . wilcox_test.R . Full rstatix package functions and examples
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