Combining geometric and traditional morphometric datasets

[morphmet_moderator]

----- Forwarded message from Kara Feilich <kfeil...@fas.harvard.edu> -----

Date: Fri, 17 Jan 2014 16:22:49 -0500
From: Kara Feilich <kfeil...@fas.harvard.edu>
Reply-To: Kara Feilich <kfeil...@fas.harvard.edu>
Subject: Combining geometric and traditional morphometric datasets
To: morphmet@morphometrics.org

Hi all,

I'm fairly new at this, so I hope this question makes sense: 
I'm trying to look for covariation and/or modularity among four datasets (all taken from the same individuals, with a phylogeny), where one dataset has Procrustes coordinates for body landmarks, and the other datasets use linear measures. Is there a way to look for (even just two-way) covariation among the datasets? I would like to use a partial least squares approach, but I'm not sure if the single dimension linear measures will play with the two dimensional landmarks. 

Though, if the landmark coordinates are broken down so that the x and y components of the coordinates are considered independent (i.e. if you have 10 landmarks, it's considered 20 variables), I should be able to just append linear measures as long as I consider them a separate partition, maybe? I hope?

Any ideas on how to work with geometric and traditional measures in tandem would be greatly appreciated. 

Thanks,

Kara
_______
Kara Feilich

Lauder Laboratory
Harvard University Museum of Comparative Zoology
kfeil...@fas.harvard.edu

----- End forwarded message -----