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
getranks() convert data to rankdata and attach
kruskal([pairs, multimethod]) pairwise comparison for kruskal-wallis test
tukeyhsd([alpha]) Tukey’s range test to compare means of all pairs of groups