Post-hocs API reference

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