Hi! I have shape data with groups by sex and age (young, middle and old). I used procSym function to perform Procrustes ANOVA on the data and now I want to use a post-hoc test to find which groups are different. Totally, there is 15 combinations of sex and age groups, but I am interested only in some of the comparisons to find whether there is sexual dimorphism inside the age groups or whether the age groups differ within males or females. So for example, I am not interested whether there is a difference between young males and old females which leads to only 9 comparisons.
There are two functions I could probably use: permudist in Morpho package and pairwise in RRPP package. Both functions compute differences between all possible pairs of groups applying a stricter p value correction than if I make only the 9 comparisons. Can I test the differences with one of those functions without any p value correction and then correct it for 9 comparisons using the p.adjust function? I see that at least in the permudist function, it is possible to use no adjustment method, but I am not sure whether it is a correct approach. Additionally, is it necessary to use p value correction when I use permutations in the permudist function? Rebeka -- You received this message because you are subscribed to the Google Groups "Morphmet" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/morphmet2/8450baec-0ec3-4b1f-be42-ed6fef8ab811n%40googlegroups.com.
