sandbox.stats.multicomp.MultiComparison()

statsmodels.sandbox.stats.multicomp.MultiComparison

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

Tests for multiple comparisons

Parameters:	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.

Methods

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