I am using JMP to examine differences in vegetation cover in growth form groups (trees, shrubs, forbs, etc.) before and after three treatments with a control. My sample size is small (n=5) and most of my distributions are not normally distributed.
For the normal distributions I used ANOVA to analyze the differences (percent change) between the results of treatments, then used the Tukey HSD to test the significance of differences between pairs of results.
For the non-normally distributed data I used the Wilcoxon/Kruskal-Wallis test. Is there a nonparametric equivalent of Tukey HSD, that I can use to examine the differences between these pairs of results?