Dear Morphometricians, Sender: [EMAIL PROTECTED] Precedence: bulk I have difficulty defining the concepts "form" and "shape". Following the review posted at the SUNY Stony Brook webpage by Adams, Rohlf and Slice, matrices containing average distances between pairs of landmarks for each sample being compared are form matrices because they include both size and shape information.
On the other hand, if one subtracts the means from a matrix of log-transformed variables (i.g. if one subtracts the isometric component), could be named the residual matrix a form matrix because it have both size and shape information (allometry)? In multivariate analyses as CPCA or mgPCA, size effects could be sequestered in one variable (first PC) rendering matrices free of allometric effects as can be verified indirectly by linear regression. In this case, how I could name those matrices? It is not easy for me to understand the concept of shape free of allometry. Is it defined only for need (or convenience) in the multivariate statistics, or actually can it be found in biological structures? Please excuse me my poorly defined grammatical structure of English. Thanks in advance, Nicol�s Nicol�s Jaramillo O. M.S., Ph.D. Professor, Instituto de Biolog�a, Universidad de Antioquia A.A. 1226, Medell�n, Colombia Phone: (+57 4) 210 5626, Fax: (+57 4) 233 01 20 E-mail: [EMAIL PROTECTED]; [EMAIL PROTECTED] == Replies will be sent to list. For more information see http://life.bio.sunysb.edu/morph/morphmet.html.
