Post-hocs API reference

posthoc_conover(a[, val_col, group_col, …]) Post hoc pairwise test for multiple comparisons of mean rank sums (Conover’s test).
posthoc_dunn(a[, val_col, group_col, …]) Post hoc pairwise test for multiple comparisons of mean rank sums (Dunn’s test).
posthoc_nemenyi(a[, val_col, group_col, …]) Post hoc pairwise test for multiple comparisons of mean rank sums (Nemenyi’s test).
posthoc_nemenyi_friedman(a[, y_col, …]) Calculate pairwise comparisons using Nemenyi post hoc test for unreplicated blocked data.
posthoc_conover_friedman(a[, y_col, …]) Calculate pairwise comparisons using Conover post hoc test for unreplicated blocked data.
posthoc_siegel_friedman(a[, y_col, …]) Siegel and Castellan’s All-Pairs Comparisons Test for Unreplicated Blocked Data.
posthoc_miller_friedman(a[, y_col, …]) Miller’s All-Pairs Comparisons Test for Unreplicated Blocked Data.
posthoc_npm_test(a[, val_col, group_col, …]) Calculate pairwise comparisons using Nashimoto and Wright’s all-pairs comparison procedure (NPM test) for simply ordered mean ranksums.
posthoc_durbin(a[, y_col, block_col, …]) Pairwise post hoc test for multiple comparisons of rank sums according to Durbin and Conover for a two-way balanced incomplete block design (BIBD).
posthoc_anderson(a[, val_col, group_col, …]) Anderson-Darling Pairwise Test for k-samples.
posthoc_quade(a[, y_col, block_col, …]) Calculate pairwise comparisons using Quade’s post hoc test for unreplicated blocked data.
posthoc_vanwaerden(a[, val_col, group_col, …]) Van der Waerden’s test for pairwise multiple comparisons between group levels.
posthoc_tukey_hsd(x, g[, alpha]) Pairwise comparisons with TukeyHSD confidence intervals.
posthoc_ttest(a[, val_col, group_col, …]) Pairwise T test for multiple comparisons of independent groups.
posthoc_mannwhitney(a[, val_col, group_col, …]) Pairwise comparisons with Mann-Whitney rank test.
posthoc_wilcoxon(a[, val_col, group_col, …]) Pairwise comparisons with Wilcoxon signed-rank test.
posthoc_scheffe(a[, val_col, group_col, …]) Scheffe’s all-pairs comparisons test for normally distributed data with equal group variances.
posthoc_tamhane(a[, val_col, group_col, …]) Tamhane’s T2 all-pairs comparison test for normally distributed data with unequal variances.
posthoc_tukey(a, val_col, group_col, sort) Performs Tukey’s all-pairs comparisons test for normally distributed data with equal group variances.
posthoc_dscf(a[, val_col, group_col, sort]) Dwass, Steel, Critchlow and Fligner all-pairs comparison test for a one-factorial layout with non-normally distributed residuals.