-------- Original Message -------- Subject: tpsRegr and semilandmarks Date: Wed, 3 Mar 2010 13:00:33 -0500 From: Ben Wasserman <[email protected]> To: [email protected] Hello, I am investigating the relationship between geometric morphometrics and feeding performance in two species of fish. I have completed separate partial warps analysis of a lateral photo of the fish's entire body and a dorsal photo of the fishes' head (after clearing and staining the head) using tpsRelw. Interested in using PLS to compare shape variation to feeding performance metrics, I then concatenated the weight matrices of the two analyses (including uniform components) and standardized all of the warps to mean = 0 and sd = 1 (while Rohlf and Corti 2000 suggest it is unnecessary for a single set of warps, it appeared to be necessary for both set of warps combined). I computed the PLS in MATLAB and now am attempting to visualize the results. I'd like to use tpsRegr to visualize the differences in shape by regressing the PLS scores onto each set of shape statistics separately (head and body). tpsRegr does not seem to accommodate sliding semi-landmarks, which I used when analyzing the dorsal view of the fish. Am I correct in assuming this will lead to tpsRegr calculating slightly different partial warps than I did in tpsRelw? If that's the case, then I think it's incorrect to use tpsRegr like I had wanted, since the PLS scores are calculated based on the tpsRelw version of the warps. Is there another program with similar capabilities that does accommodate sliding semi-landmarks? Thank you very much for your help! Ben Wasserman Research Technician Duke University Marine Lab [email protected] -- For now, new message AND replies should be sent to: [email protected] /* Replies will be sent to the list. */ For more information visit http://www.morphometrics.org
