----- Forwarded message from [email protected] ----- Date: Wed, 05 Feb 2014 22:35:50 -0800 From: [email protected] Reply-To: [email protected] Subject: Re: Combining geometric and traditional morphometric datasets To: [email protected]
----- Forwarded message from [email protected] ----- Date: Sun, 2 Feb 2014 17:41:05 -0500 From: [email protected] Reply-To: [email protected] Subject: Re: Combining geometric and traditional morphometric datasets To: [email protected] Dear Kara, you can certainly perform a PLS with shape coordinates as one block and linear measurements as another block. If you have 2D data tpsPLS will be the solution otherwise morphoJ can help you with 3D shape data. Alternatively, you can append your linear measruement to the shape coordinates and then do a PCA. It will be like working in form space with shape coordinates + cenoitr size. Hope this helps Carlo [email protected] ha scritto: > > ----- Forwarded message from Kara Feilich ----- > > Date: Fri, 17 Jan 2014 16:22:49 -0500 > From: Kara Feilich > Reply-To: Kara Feilich > Subject: Combining geometric and traditional morphometric datasets > To: [email protected] > > 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 > [email protected] > > ----- End forwarded message ----- > > ----- End forwarded message ----- ----- End forwarded message -----
