ó >šŠh*ãó*•SrSSKJrJr SS/rSSjrg)z= Created on Fri Mar 30 18:27:25 2012 Author: Josef Perktold é)ÚtukeyhsdÚMultiComparisonrrcó2•[X5RUS9$)aU 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 )Úalpha)rr)ÚendogÚgroupsrs ÚnC:\Users\julio\OneDrive\Documentos\Trabajo\Ideas Frescas\venv\Lib\site-packages\statsmodels/stats/multicomp.pyÚpairwise_tukeyhsdr s€ô< ˜5Ó )× 2Ñ 2¸Ð 2Ð ?Ð?óN)gš™™™™™©?)Ú__doc__Ú#statsmodels.sandbox.stats.multicomprrÚ__all__r ©r r Úrs"ðñ÷ ð Ð(Ð )€õ@r