ó áp7]c@s8dZddlmZmZddgZdd„ZdS(s= Created on Fri Mar 30 18:27:25 2012 Author: Josef Perktold i˙˙˙˙(ttukeyhsdtMultiComparisonRRgš™™™™™Š?cCst||ƒjd|ƒS(są Calculate all pairwise comparisons with TukeyHSD confidence intervals Parameters ---------- endog : ndarray, float, 1d response variable groups : ndarray, 1d array with groups, can be string or integers alpha : float significance level for the test Returns ------- results : TukeyHSDResults instance A results class containing relevant data and some post-hoc calculations, including adjusted p-value Notes ----- This is just a wrapper around tukeyhsd method of MultiComparison See Also -------- MultiComparison tukeyhsd statsmodels.sandbox.stats.multicomp.TukeyHSDResults talpha(RR(tendogtgroupsR((s:lib/python2.7/site-packages/statsmodels/stats/multicomp.pytpairwise_tukeyhsdsN(t__doc__t#statsmodels.sandbox.stats.multicompRRt__all__R(((s:lib/python2.7/site-packages/statsmodels/stats/multicomp.pyts