statsmodels.sandbox.stats.multicomp.MultiComparison.allpairtest

MultiComparison.allpairtest(testfunc, alpha=0.05, method='bonf', pvalidx=1)[source]

run a pairwise test on all pairs with multiple test correction

The statistical test given in testfunc is calculated for all pairs and the p-values are adjusted by methods in multipletests. The p-value correction is generic and based only on the p-values, and does not take any special structure of the hypotheses into account.

Parameters:

  • testfunc (function) – A test function for two (independent) samples. It is assumed that the return value on position pvalidx is the p-value.

  • alpha (float) – familywise error rate

  • method (str) – This specifies the method for the p-value correction. Any method of multipletests is possible.

  • pvalidx (int (default: 1)) – position of the p-value in the return of testfunc

Returns:

  • sumtab (SimpleTable instance) – summary table for printing

  • errors (TODO: check if this is still wrong, I think it’s fixed.)

  • results from multipletests are in different order

  • pval_corrected can be larger than 1 ???