prop_test()
, pairwise_prop_test()
and row_wise_prop_test()
. Performs one-sample and two-samples z-test of proportions. Wrappers around the R base function prop.test()
but have the advantage of performing pairwise and row-wise z-test of two proportions, the post-hoc tests following a significant chi-square test of homogeneity for 2xc and rx2 contingency tables.fisher_test()
, pairwise_fisher_test()
and row_wise_fisher_test()
: Fisher’s exact test for count data. Wrappers around the R base function fisher.test()
but have the advantage of performing pairwise and row-wise fisher tests, the post-hoc tests following a significant chi-square test of homogeneity for 2xc and rx2 contingency tables.chisq_test()
, pairwise_chisq_gof_test()
, pairwise_chisq_test_against_p()
: Chi-square test for count data.binom_test()
, pairwise_binom_test()
, pairwise_binom_test_against_p()
and multinom_test()
: performs exact binomial and multinomial tests. Alternative to the chi-square test of goodness-of-fit-test when the sample.counts_to_cases()
: converts a contingency table or a data frame of counts into a data frame of individual observations.mcnemar_test()
and cochran_qtest()
for comparing two ore more related proportions.prop_trend_test()
: Performs chi-squared test for trend in proportion. This test is also known as Cochran-Armitage trend test.get_test_label()
and get_pwc_label()
return expression by defaultget_anova_table()
supports now an object of class grouped_anova_test
correction = "none"
for repeated measures ANOVANAs
are now automatically removed before quantile computation for identifying outliers (@IndrajeetPatil, #10).set_ref_level()
, reorder_levels()
and make_valid_levels()
model
added in the function emmeans_test()
welch_anova_test()
: Welch one-Way ANOVA test. A wrapper around the base function stats::oneway.test()
. This is is an alternative to the standard one-way ANOVA in the situation where the homogeneity of variance assumption is violated.friedman_effsize()
, computes the effect size of Friedman test using the Kendall’s W value.friedman_test()
, provides a pipe-friendly framework to perform a Friedman rank sum test, which is the non-parametric alternative to the one-way repeated measures ANOVA test.games_howell_test()
: Performs Games-Howell test, which is used to compare all possible combinations of group differences when the assumption of homogeneity of variances is violated.kruskal_effsize()
for computing effect size for Kruskal-Wallis test.p_round(), p_format(), p_mark_significant()
.wilcox_effsize()
added for computing effect size (r) for wilcoxon test.get_anova_table()
added to extract ANOVA table from anova_test()
results. Can apply sphericity correction automatically in the case of within-subject (repeated measures) designs.get_anova_label()
emmeans_test()
added for pairwise comparisons of estimated marginal means.comparison
removed from tukey_hsd()
results (breaking change).n
(sample count) added to statistical tests results: t_test()
, wilcox_test()
, sign_test()
, dunn_test()
and kruskal_test()
(@ShixiangWang, #4).rstatix_test
class added to anova_test()
resultskruskal_test()
is now an object of class rstatix_test
that has an attribute named args for holding the test arguments.get_y_position()
, y positions and test data are merged now for grouped plots.y.trans
added in get_y_position()
for y scale transformation.tukey_hsd()
results.adjust_pvalue()
now supports grouped dataget_pvalue_position
added to autocompute p-value positions for plotting significance using ggplot2.get_comparisons()
added to create a list of possible pairwise comparisons between groups.dunn_test()
added for multiple pairwise comparisons following Kruskal-Wallis test.sign_test()
added.get_summary_stats()
now supports type = “min”, “max”, “mean” or “median”t_test()
, wilcox_test()
, dunn_test()
and sign_test()
are now an object of class rstatix_test
that has an attribute named args for holding the test arguments.cohens_d()
is now a data frame containing the Cohen’s d and the magnitude.