-------- Original Message --------
Subject: R covariance matrix and eigenvalues...
Date: Tue, 21 Sep 2010 11:38:39 +0100
From: Milos Blagojevic <[email protected]>
To: <[email protected]>
Hello to all morphometricians,
I am wondering about some methodological issues concerning
implementation of matrix correlations for landmark data in R. All papers
that I have read are pointing to the work of Wagner
"A comparative study of morphological integration in Apis mellifera" and
the scaled eigenvalues of covariance matrices as
a measure of morphological integration. A good set of matrix correlation
tools are contained in Marquez`s Mace software, but I am not completely
sure how all this should be done. I wanted
to rework through it using R, but I lack experience and maths knowledge.
Also I can`t find this paper from Wagner anywhere. Have anyone had
experience with this type of analyses in R and
can share some advice with me?Maybe a chat session via skype or google talk?
Every advice is welcomed and most sought-for,
best regards
Milos Blagojevic,PhD student
Faculty of science
Depatment for biology and ecology
Radoja Domanovica 12
34000 Kragujevac
Serbia
e-mail:[email protected] - morphmet
[email protected]
