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Timeline for Post hoc test for Friedman test

Current License: CC BY-SA 4.0

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Oct 16, 2018 at 14:24 vote accept Sharah
Jul 18, 2018 at 16:21 comment added Sal Mangiafico In general you are better off using a test that uses all the data, like that proposed by Conover, than to use pairwise tests that ignore most of the data for each test. For a great example of the problem with pairwise comparisons with rank based data, look up Schwenk dice. In any case, the Friedman test is a generalization of the sign test, not of the Wilcoxon signed rank test.
Jul 18, 2018 at 16:16 comment added Sal Mangiafico Conover, 1999, Practical Nonparametric Statistics, 3rd, section 5.8 has a test for multiple comparisons after Friedman test. I imagine this is the same as is used in the posthoc.friedman.conover.test in the PMCMR package in R, but I didn't try to compare. It is better to use this kind of test than to use pairwise sign tests.
Jul 11, 2018 at 6:53 history edited Łukasz Deryło CC BY-SA 4.0
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Jul 10, 2018 at 19:37 history answered Łukasz Deryło CC BY-SA 4.0