Hi everyone,
I was recently asked if I implement any multiple comparison adjustments (like Holm) when using the pairwise() function in geomorph on RRPP-based procD.lm/procD.pgls fits involving a factor with more than two levels. I admit that this never crossed my mind, but I can’t see why there should not be a higher risk of getting false H0 rejections with increasing comparisons, as it would in other multiple comparison contexts. It is easy to do an adjustment manually, but I do not think I have seen it done anywhere – it is not part of the pairwise implementation as far as I can see, and I did not spot a comment on it in the Collyer & Adams 2018 paper on RRPP. I was wondering if there is a reason for this, perhaps related to the residual randomisation procedure or building of confidence intervals? Thanks a lot for any suggestions! Vera -- 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 visit https://groups.google.com/d/msgid/morphmet2/cdfd532c-084e-4dbd-bc7a-190f6808ed2cn%40googlegroups.com.
