Procrustes superimposition only removes isometric size variation. Shape changes 
that are a function of size (allometry) are not removed so a regression of some 
sort is needed.

____________________________________________
F. James Rohlf, Distinguished Professor, Emeritus. Ecology & Evolution
Research Professor, Anthropology
Stony Brook University

-----Original Message-----
From: Ryan Felice [mailto:ryanfel...@gmail.com] 
Sent: Friday, March 27, 2015 7:34 AM
To: Alex Marshall
Cc: morphmet@morphometrics.org
Subject: Re: [MORPHMET] PC Ranks in Evolutionary PCA

Hi Alex,

I'm assuming that your shape data are landmark configurations that have been 
subjected to a Procrustes superimposition. is that correct?
If so, I dont think the regression you described is really necessary- 
Procrustes analysis will remove the effects of size, orientation, and position.

What software are you using for your analysis? you might find it easier/more 
streamlined to use the phyl.pca function in the phytools R package. If you use 
that function, make sure that you are using the original shape data and not the 
independent contrasts of shape data.

Good luck!

-Ryan
Ryan N. Felice, PhD
Ohio University Department of Biological Sciences
107 Irvine Hall
Athens, OH 45701
www.rnfelice.com
ryanfel...@gmail.com
(201)981-8642



On Fri, Mar 27, 2015 at 7:49 AM, Alex Marshall <alpmar...@googlemail.com> wrote:
> Hello everyone,
> I'm a MSci student new to morphometrics and this group. I'm studying 
> morphological integration in squamate crania and one of the things I'd like 
> to do is an Evolutionary PCA of all my species, accounting for phylogeny and 
> allometry.
>
> I think I do this correctly but in the PCA results the PCs are not ranked by 
> proportion of variance e.g. PC5 has greater % variance that PCs 3 & 4. Is 
> this normal?
>
> To conduct the evolutionary PCA I created independant contrasts of all my 
> shape data, regressed centroid size on shape and conducted PCA on the 
> residuals. After this I applied the resultant PC scores to another PCA of my 
> original data.
>
> Would anyone kindly confirm if this is the right way to do it?
>
> Many thanks,
>
> Alex Marshall
> MSci Student
> University College London
> alexander.marshall...@ucl.ac.uk
>
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