Partial warps are orthogonal. For 2D or 3D data, they are pairs or triplets of principal warps used to describe shape differences (partial warp scores) between specimens and the reference (most appropriately the sample mean). The principal warps are the eigenvectors (hence orthogonal) of the bending energy matrix that is based solely on the reference.
Partial warp scores may, of course, be correlated, hence the utility of relative warps analysis. Best, dslice On Thu, 2005-01-27 at 04:37, Dennis Slice wrote: > ------------------------------------------- > From: morphmet[SMTP:[EMAIL PROTECTED] > Sent: Thursday, January 27, 2005 4:28:02 AM > To: morphmet > Subject: Re: use of partial warps in DA/CVA > Auto forwarded by a Rule > > As to my knowledge, partial warps are not orthogonal, so only the complete > set of them makes a sense to analyze. If you wish to reduce the morphospace > dimensionality you better use relative warps. They are principal components > of the partial warps and hence are orthogonal. You may select several first > RWs, say 1st to 5th, which may appear enough to represent similarities among > your objects. > Cheers > Igor > -- Dennis E. Slice Institute for Anthropology University of Vienna Vienna, Austria email: [EMAIL PROTECTED] -- Replies will be sent to the list. For more information visit http://www.morphometrics.org
