Dear all, I have a question concerning the use of partial warp scores in discriminant analysis (DA)/CVA. I have an outline data, including a couple of true landmarks and many sliding semilandmarks, on moth genitalia. I use this data in order to test how well it applies in categorizing study specimens into correct species (closely resembling each other in genitalia but not in wing patterns) and I repeat this with several species groups. There are, however, too many partial warps for the DA since I have only 20-40 specimens for creating discriminant functions (the rest one-third of specimens are used for cross-validation). For this reason, I selected only those partial warp scores showing strong statistical differences between the species in MANOVA. I got pretty nice results since also those specimens that were not used in creating discriminant functions were classified correctly. But is this correct? Can I select those partial warp scores that differ in MANOVA and use them alone in DA/CVA? I could also reduce the number of sliding semilandmarks, but since I use outline data with sliding landmarks, this could possibly reduce the power of DA/CVA?
I would be grateful for all advices, Marko Mutanen University of Oulu Finland [EMAIL PROTECTED] -- Replies will be sent to the list. For more information visit http://www.morphometrics.org
