{ "_id": "6abe57b899f7aa8c6aa55937", "Package": "rstatix", "Type": "Package", "Title": "Pipe-Friendly Framework for Basic Statistical Tests", "Version": "1.1.0.999", "Date": "2026-07-23", "Authors@R": "c(\nperson(\"Alboukadel\", \"Kassambara\", role = c(\"aut\", \"cre\"), email = \"alboukadel.kassambara@gmail.com\"))", "Description": "Provides a simple and intuitive pipe-friendly framework,\ncoherent with the 'tidyverse' design philosophy, for performing\nbasic statistical tests, including t-test, Wilcoxon test,\nANOVA, Kruskal-Wallis and correlation analyses. The output of\neach test is automatically transformed into a tidy data frame\nto facilitate visualization. Additional functions are available\nfor reshaping, reordering, manipulating and visualizing\ncorrelation matrix. Functions are also included to facilitate\nthe analysis of factorial experiments, including purely\n'within-Ss' designs (repeated measures), purely 'between-Ss'\ndesigns, and mixed 'within-and-between-Ss' designs. It's also\npossible to compute several effect size metrics, including \"eta\nsquared\" for ANOVA, \"Cohen's d\" for t-test and 'Cramer V' for\nthe association between categorical variables. The package\ncontains helper functions for identifying univariate and\nmultivariate outliers, assessing normality and homogeneity of\nvariances.", "License": "GPL-2", "Encoding": "UTF-8", "VignetteBuilder": "knitr", "URL": "https://rpkgs.datanovia.com/rstatix/", "BugReports": "https://github.com/kassambara/rstatix/issues", "Collate": "'utilities.R' 'add_cld.R' 'add_significance.R'\n'adjust_pvalue.R' 'factorial_design.R'\n'utilities_two_sample_test.R' 'anova_summary.R' 'anova_test.R'\n'as_cor_mat.R' 'binom_test.R' 'box_m.R' 'posthoc_test.R'\n'check_test_assumptions.R' 'chisq_test.R' 'cliff_delta.R'\n'cochran_qtest.R' 'cohens_d.R' 't_test.R' 'dunn_test.R'\n'conover_test.R' 'cor_as_symbols.R' 'replace_triangle.R'\n'pull_triangle.R' 'cor_mark_significant.R' 'cor_mat.R'\n'cor_plot.R' 'cor_reorder.R' 'cor_reshape.R' 'cor_select.R'\n'cor_test.R' 'counts_to_cases.R' 'cramer_v.R' 'df.R' 'doo.R'\n'emmeans_test.R' 'dunnett_test.R' 'eta_squared.R' 'factors.R'\n'fisher_test.R' 'fligner_test.R' 'freq_table.R'\n'friedman_test.R' 'friedman_conover_test.R'\n'friedman_effsize.R' 'friedman_nemenyi_test.R'\n'games_howell_test.R' 'get_comparisons.R' 'get_mode.R'\n'get_pvalue_position.R' 'get_summary_stats.R'\n'get_test_label.R' 'kruskal_effesize.R' 'kruskal_test.R'\n'ks_test.R' 'levene_test.R' 'mahalanobis_distance.R'\n'make_clean_names.R' 'mcnemar_test.R' 'multinom_test.R'\n'omega_squared.R' 'outliers.R' 'p_value.R' 'prop_test.R'\n'prop_trend_test.R' 'reexports.R' 'remove_ns.R'\n'rstatix-programming.R' 'rstatix-references.R' 'sample_n_by.R'\n'shapiro_test.R' 'sign_test.R' 'tidy_glance.R' 'tukey_hsd.R'\n'utils-manova.R' 'utils-pipe.R' 'welch_anova_test.R'\n'wilcox_effsize.R' 'wilcox_test.R'", "Language": "en-US", "Config/roxygen2/version": "8.0.0", "Config/pak/sysreqs": "cmake make libicu-dev", "Repository": "https://kassambara.r-universe.dev", "Date/Publication": "2026-08-02 12:30:44 UTC", "RemoteUrl": "https://github.com/kassambara/rstatix", "RemoteRef": "HEAD", "RemoteSha": "50881cccbd052b828cdd09a676bc331dc23a744a", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-01 12:30:47 UTC", "User": "root" }, "Author": "Alboukadel Kassambara [aut, cre]", "Maintainer": "Alboukadel Kassambara ", "_user": "kassambara", "_type": "src", "_file": "rstatix_1.1.0.999.tar.gz", "_fileid": "https://r2.ropensci.org/b3afd37fa4ba69a842d9a934e1b4ef74d53dfb174417cf052495a508f73d8423", "_filesize": 1133067, "_sha256": "b3afd37fa4ba69a842d9a934e1b4ef74d53dfb174417cf052495a508f73d8423", "_expires": "2027-01-09T12:53:10.000Z", "_created": "2026-10-01T12:30:47.000Z", "_published": "2026-10-01T12:53:12.097Z", "_jobs": [ { "job": 110369236949, "time": 292, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11163215775" }, { "job": 110369237010, "time": 272, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11163115996" }, { "job": 110369236982, "time": 168, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "11163043530" }, { "job": 110369237245, "time": 197, "config": "macos-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "11163208778" }, { "job": 110367182814, "time": 327, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "11162610469" }, { "job": 110369237074, "time": 144, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "11162061077" }, { "job": 110369237135, "time": 232, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11162651082" }, { "job": 110369237085, "time": 222, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "11162151252" }, { "job": 110369237196, "time": 254, "config": "windows-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11162386284" } ], "_host": "GitHub-Actions", "_buildurl": "https://github.com/r-universe/kassambara/actions/runs/36861652971", "_status": "success", "_upstream": "https://github.com/kassambara/rstatix", "_commit": { "id": "50881cccbd052b828cdd09a676bc331dc23a744a", "author": "rstatix ", "committer": "rstatix ", "message": "Guard the pkgdown build against publishing maintainer-private markdown\n\npkgdown's package_mds() globs every *.md in the package root and in .github/ and\nrenders each into the site. It excludes only README, LICENSE, LICENCE, NEWS,\nissue_template.md, pull_request_template.md and cran-comments.md, matched by\nexact filename; it does not consult .Rbuildignore, and there is no option to\nexclude a file. A private CLAUDE.md in the root therefore became a public page,\nan entry in sitemap.xml, and full text in search.json where a site builds one.\n\nThe old `make site` deleted docs/CLAUDE.html and nothing else, so the published\nsitemap.xml kept advertising the URL after the page itself was gone.\n\nTwo defences. The instructions file now lives outside anything pkgdown globs, so\nthere is nothing to render; and .github/scripts/build-site.sh purges CLAUDE and\nISSUE_TEMPLATE artifacts from pages, sitemap.xml, search.json and llms.txt across\ndocs/ and docs/dev/, then exits non-zero if any survive, so a contaminated tree\ncannot be deployed. 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"pull_upper_triangle", "remove_ns", "reorder_levels", "replace_lower_triangle", "replace_triangle", "replace_upper_triangle", "row_wise_fisher_test", "row_wise_prop_test", "sample_n_by", "select", "set_ref_level", "shapiro_test", "sign_test", "spread", "std_residuals", "t_test", "tibble", "tidy", "tukey_hsd", "welch_anova_test", "wilcox_effsize", "wilcox_test" ], "_help": [ { "page": "add_cld", "title": "Compact Letter Display of All-Pairwise Comparisons", "topics": [ "add_cld" ] }, { "page": "add_significance", "title": "Add P-value Significance Symbols", "topics": [ "add_significance" ] }, { "page": "adjust_pvalue", "title": "Adjust P-values for Multiple Comparisons", "topics": [ "adjust_pvalue" ] }, { "page": "anova_summary", "title": "Create Nice Summary Tables of ANOVA Results", "topics": [ "anova_summary" ] }, { "page": "anova_test", "title": "Anova Test", "topics": [ "anova_test", "get_anova_table", "plot.anova_test", "print.anova_test" ] }, { "page": "as_cor_mat", "title": "Convert a Correlation Test Data Frame into a Correlation Matrix", "topics": [ "as_cor_mat" ] }, { "page": "binom_test", "title": "Exact Binomial Test", "topics": [ "binom_test", "pairwise_binom_test", "pairwise_binom_test_against_p" ] }, { "page": "box_m", "title": "Box's M-test for Homogeneity of Covariance Matrices", "topics": [ "box_m" ] }, { "page": "check_test_assumptions", "title": "Check One-Way Assumptions and Recommend the Test", "topics": [ "check_test_assumptions" ] }, { "page": "chisq_test", "title": "Chi-squared Test for Count Data", "topics": [ "chisq_descriptives", "chisq_test", "expected_freq", "observed_freq", "pairwise_chisq_gof_test", "pairwise_chisq_test_against_p", "pearson_residuals", "std_residuals" ] }, { "page": "cliff_delta", "title": "Cliff's Delta Effect Size for Ordinal / Non-parametric Comparisons", "topics": [ "cliff_delta" ] }, { "page": "cochran_qtest", "title": "Cochran's Q Test", "topics": [ "cochran_qtest" ] }, { "page": "cohens_d", "title": "Compute Cohen's d Measure of Effect Size", "topics": [ "cohens_d" ] }, { "page": "conover_test", "title": "Conover's All-Pairs Rank Comparison Test", "topics": [ "conover_test" ] }, { "page": "factors", "title": "Factors", "topics": [ "convert_as_factor", "reorder_levels", "set_ref_level" ] }, { "page": "cor_as_symbols", "title": "Replace Correlation Coefficients by Symbols", "topics": [ "cor_as_symbols" ] }, { "page": "cor_reshape", "title": "Reshape Correlation Data", "topics": [ "cor_gather", "cor_spread" ] }, { "page": "cor_mark_significant", "title": "Add Significance Levels To a Correlation Matrix", "topics": [ "cor_mark_significant" ] }, { "page": "cor_mat", "title": "Compute Correlation Matrix with P-values", "topics": [ "cor_get_pval", "cor_mat", "cor_pmat" ] }, { "page": "cor_plot", "title": "Visualize Correlation Matrix Using Base Plot", "topics": [ "cor_plot" ] }, { "page": "cor_reorder", "title": "Reorder Correlation Matrix", "topics": [ "cor_reorder" ] }, { "page": "cor_select", "title": "Subset Correlation Matrix", "topics": [ "cor_select" ] }, { "page": "cor_test", "title": "Correlation Test", "topics": [ "cor_test" ] }, { "page": "counts_to_cases", "title": "Convert a Table of Counts into a Data Frame of cases", "topics": [ "counts_to_cases" ] }, { "page": "cramer_v", "title": "Compute Cramer's V", "topics": [ "cramer_v" ] }, { "page": "df_arrange", "title": "Arrange Rows by Column Values", "topics": [ "df_arrange" ] }, { "page": "df_get_var_names", "title": "Get User Specified Variable Names", "topics": [ "df_get_var_names" ] }, { "page": "df_group_by", "title": "Group a Data Frame by One or more Variables", "topics": [ "df_group_by" ] }, { "page": "df_label_value", "title": "Functions to Label Data Frames by Grouping Variables", "topics": [ "df_label_both", "df_label_value" ] }, { "page": "df_nest_by", "title": "Nest a Tibble By Groups", "topics": [ "df_nest_by" ] }, { "page": "df_select", "title": "Select Columns in a Data Frame", "topics": [ "df_select" ] }, { "page": "df_split_by", "title": "Split a Data Frame into Subset", "topics": [ "df_split_by" ] }, { "page": "df_unite", "title": "Unite Multiple Columns into One", "topics": [ "df_unite", "df_unite_factors" ] }, { "page": "doo", "title": "Alternative to dplyr::do for Doing Anything", "topics": [ "doo" ] }, { "page": "dunn_test", "title": "Dunn's Test of Multiple Comparisons", "topics": [ "dunn_test" ] }, { "page": "dunnett_test", "title": "Dunnett's Many-to-One Comparisons Test", "topics": [ "dunnett_test" ] }, { "page": "emmeans_test", "title": "Pairwise Comparisons of Estimated Marginal Means", "topics": [ "emmeans_test", "get_emmeans" ] }, { "page": "eta_squared", "title": "Effect Size for ANOVA", "topics": [ "eta_squared", "partial_eta_squared" ] }, { "page": "factorial_design", "title": "Build Factorial Designs for ANOVA", "topics": [ "factorial_design" ] }, { "page": "fisher_test", "title": "Fisher's Exact Test for Count Data", "topics": [ "fisher_test", "pairwise_fisher_test", "row_wise_fisher_test" ] }, { "page": "fligner_test", "title": "Fligner-Killeen Test", "topics": [ "fligner_test" ] }, { "page": "freq_table", "title": "Compute Frequency Table", "topics": [ "freq_table" ] }, { "page": "friedman_conover_test", "title": "Conover's All-Pairs Comparisons Test for Friedman Rank Sums", "topics": [ "friedman_conover_test" ] }, { "page": "friedman_effsize", "title": "Friedman Test Effect Size (Kendall's W Value)", "topics": [ "friedman_effsize" ] }, { "page": "friedman_nemenyi_test", "title": "Nemenyi Post-Hoc Test for Friedman Rank Sums", "topics": [ "friedman_nemenyi_test" ] }, { "page": "friedman_test", "title": "Friedman Rank Sum Test", "topics": [ "friedman_test" ] }, { "page": "games_howell_test", "title": "Games Howell Post-hoc Tests", "topics": [ "games_howell_test" ] }, { "page": "get_comparisons", "title": "Create a List of Possible Comparisons Between Groups", "topics": [ "get_comparisons" ] }, { "page": "get_mode", "title": "Compute Mode", "topics": [ "get_mode" ] }, { "page": "get_test_label", "title": "Extract Label Information from Statistical Tests", "topics": [ "create_test_label", "get_description", "get_n", "get_pwc_label", "get_test_label" ] }, { "page": "get_summary_stats", "title": "Compute Summary Statistics", "topics": [ "get_summary_stats" ] }, { "page": "get_pvalue_position", "title": "Autocompute P-value Positions For Plotting Significance", "topics": [ "add_xy_position", "add_x_position", "add_y_position", "get_y_position" ] }, { "page": "outliers", "title": "Identify Univariate Outliers Using Boxplot Methods", "topics": [ "identify_outliers", "is_extreme", "is_outlier" ] }, { "page": "kruskal_effsize", "title": "Kruskal-Wallis Effect Size", "topics": [ "kruskal_effsize" ] }, { "page": "kruskal_test", "title": "Kruskal-Wallis Test", "topics": [ "kruskal_test" ] }, { "page": "ks_test", "title": "Two-Sample Kolmogorov-Smirnov Test", "topics": [ "ks_test" ] }, { "page": "levene_test", 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