Thank you for the answers received so far. F. James Rohlf, my
populations are predefined by country of origin. They just reappear in
the PCA. So I think I can exclude size or age classes.

> Date: Thu, 8 Nov 2007 17:22:42 +0100
> From: [EMAIL PROTECTED]
> To: [email protected]
> Subject: RE: PCA clusters
>
> Are the apparent populations defined in advance or only suggested by the
> patterns you see after looking at the data? If predefined then there are
> methods. If they are only suggested by the data then real testing is
> difficult. Because the differences are only along PC1 one wonders
> whether these may just be size classes corresponding to age classes - or
> do they correspond to different geographic regions?
>
> ------------------------
> F. James Rohlf, Distinguished Professor
> Ecology & Evolution, Stony Brook University
> www: http://life.bio.sunysb.edu/ee/rohlf
>
>
> > -----Original Message-----
> > From: morphmet [mailto:[EMAIL PROTECTED]
> > Sent: Thursday, November 08, 2007 7:17 AM
> > To: morphmet
> > Subject: PCA clusters
> >
> > Dear morphometricians,
> >
> > I have the following problem:
> >
> > I have performed a PCA of shape (relative warps analysis) on a set of
> > mouse mandibles from animals of different geographic origins. Now in a
> > plot of PC1 vs PC2, I can "see" that PC1 sorts specimens into broadly
> > overlapping clusters corresponding to the respective origins of the
> > mice, while PC2 (and the other PCs) do not. The problem is now that the
> > overlaps of the "population" clusters are rather broad so the question
> > is how different they actually are. Also, I have several "populations",
> > so it looks like a continuum of overlapping clouds.
> > Could you recommend a means to quantify and/or somehow test the actual
> > differences between "populations" along PC1?
> >
> > Louis Boell
> >
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>
>
>
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