class statsmodels.sandbox.stats.multicomp.MultiComparison(data, groups, group_order=None)[source]

Tests for multiple comparisons

  • data (array) – independent data samples

  • groups (array) – group labels corresponding to each data point

  • group_order (list of strings, optional) – the desired order for the group mean results to be reported in. If not specified, results are reported in increasing order. If group_order does not contain all labels that are in groups, then only those observations are kept that have a label in group_order.


allpairtest(testfunc[, alpha, method, pvalidx])

run a pairwise test on all pairs with multiple test correction


convert data to rankdata and attach

kruskal([pairs, multimethod])

pairwise comparison for kruskal-wallis test


Tukey’s range test to compare means of all pairs of groups