HI Vera,

 pairwise() in geomorph/RRPP does not do any adjustments. The last I spoke
to Mike and Dean about (when I prepped an online seminar about it during
the pandemic... so a while ago), it was in part because it provides ALL
pairwise comparisons. One of the things I point out to people using it, is
that you need to *a priori *plan which you are going to use, and do your
adjustments based upon that.

Cheers
Ian

On Mon, 25 May 2026 at 06:33, [email protected] <
[email protected]> wrote:

> 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
>
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-- 
Ian Dworkin
Department of Biology
McMaster University
Office phone 905 525 9140 ext. 21775
Lab phone 905 525 9140 ext. 20076
[email protected]
dworkinlab.github.io

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