Dunn's test is the not parametric analog of Holm-Sidak multiple t-test. When you use the Kruskal-Wallis test, you know if there is a difference among your groups, but you can't apply the KWtest for each couple because the overall error is >alpha (Bonferroni inequality). By Dunn's test you can highlight where is the difference using multiple, stepdown comparisons. The algorithm requires the Statistics Toolbox.
Giuseppe Cardillo (2020). Dunn's test (https://www.github.com/dnafinder/dunn), GitHub. Retrieved .
Hi, MATLAB's multcompare supports 'dunn-sidak' option, but that is not the same as "Dunn's test" provided here, right?
I would need a p-value for each comparison to plot it as function of an independent variable. Practically speaking I would need to convert the q-value in a p-value... Should I use a z-table?
Why? It is a metod to test GLOBAL p-value<=alpha (usually 0.05)
Hi, is there a method to extract a p-value for each comparison?
Very clear! this code is written intelligently ,thanks.
The code is writen very clearly, instructions are detailed and to the point. It did not take me more than 5 minutes to get run the test.
Very good software. I need for my original article from univesity
inputparser; table implementation; github link
Changes in description
Correct the pointing to the N vector
fixed an error in the computation of denom in Qvalue.
Logical indexing improved
Changes in help section
Improvement in input error handling
the file was in a wrong category
I fixed a bug in ties correction. Some minor corrections.
Logical indexing implemented