I am running a Friedman test for my non-Gaussian data, on MATLAB. However, I am confused about the post hoc test to choose. Two concerns:
multcompare function's default would be Tukey HSD, but I read in multiple sites saying that it's only for parametric test (?). Link to the MATLAB guide on multcompare. If this is the case then it's quite silly that MATLAB suggested to do multiple comparison following Friedman. Other options would be Bonferroni method, Dunn and Sidák’s approach, Fisher's least significant difference procedure or Scheffé's S procedure
(2) Would it be somehow better to do a Wilcoxon test and correct to the number of hypothesis (eg in my case, 6) using Bonferonni's method?
Please if anyone could enlighten me with this