Dear Nathalia,
if I remember well, PAST can give either distances between any pair of
landmarks you are interested in or the matrix of distances between all
possible pairs of landmarks (EDMA matrix). You can find PAST in the SUNY
morphometric website.
Also Morpheus can compute distances between pairs of landmarks.

Dear Asta,
I totally agree with Prof. Rohlf about possible issues if you're using
only a few PCs for doing a CVA. However, I would tend to think that if
you're using enough PCs as to leave the relative positions of your
specimens in the multivariate space virtually unchanged, you may be able
to use a smaller number of PCs without losing important information.

I haven't got the paper nearby and I might be doing a wrong citation (my
apologies, if this is the case). However, it seems to me that Marco
Corti and Carlo Fadda had a clever way to decide how many PCs to retain
in the analysis not to change the spatial relationships of specimens.
This was published in a paper in the 11th issue of Hystrix (2000). More
or less, again if I remember well, they computed a matrix correlation
between the Procrustes distance matrix and the matrix of Euclidean
distances obtained using the first PCs. This was repeated many times
progressively increasing the number of PCs used to compute the ED matrix
(say that they started with 3, then 5, 10, 15, 20 etc.). Finally they
plotted r against the number of PCs and used the plot to decide how many
PCs had enough information as you would do in a scree plot.
Of course, you may still end up with a number of PCs which is too large
to be used in a CVA.

Good luck.
Cheers

Andrea






Dr. Andrea Cardini
Lecturer in Biology
Museo di Paleobiologia e dell'Orto Botanico
Universitá di Modena e Reggio Emilia
via Università 4, 41100, Modena, Italy
tel: 0039 059 2056520
fax: 0039 059 2056535
&
Hull York Medical School
The University of York, Heslington, York YO10 5DD, UK

E-mail address: [EMAIL PROTECTED], [EMAIL PROTECTED],
[EMAIL PROTECTED]
http://www.york.ac.uk/res/fme/people/andrea.htm







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