§ M/Phÿãó*—dZddlmZmZddgZdd„ZdS) z= Created on Fri Mar 30 18:27:25 2012 Author: Josef Perktold é)ÚtukeyhsdÚMultiComparisonrrçš™™™™™©?cóJ—t||¦« |¬¦«S)a± 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 ú[/var/www/html/test/jupyter/venv/lib/python3.11/site-packages/statsmodels/stats/multicomp.pyÚpairwise_tukeyhsdr s%€õ< ˜5 &Ñ )Ô )× 2Ò 2¸Ð 2Ñ ?Ô ?Ð?óN)r)Ú__doc__Ú#statsmodels.sandbox.stats.multicomprrÚ__all__r ©r r úrshðððð ðððððððð Ð(Ð )€ð@ð@ð@ð@ð@ð@r