The thing to remember is that the comparative methods adjust for the lack of independence of the observations. Thus variables being multivariate does not change the computation of PICs or, preferred, the use of generalized least squares. __________________F. James Rohlf, Distinguished Prof. Emeritus Dept. Anthropology and Ecology & Evolution Stonybrook University -------- Original message --------From: Sarah Friedman <sarahtfr...@gmail.com> Date: 3/29/18 8:08 AM (GMT-10:00) To: MORPHMET <morphmet@morphometrics.org> Subject: [MORPHMET] Re: Multivariate PICs? Dean, Thank you for the thorough and informative response. For the record, I checked with Chris Klingenberg and he confirmed that MorphoJ calculates PICs along each dimension individually as well. I think I'll opt for this method over the McPeek procedure. Much appreciated,Sarah
On Tuesday, March 27, 2018 at 11:02:10 AM UTC-7, Sarah Friedman wrote:Hi all, Primarily, I'm wondering if there is a way to calculate phylogenetic independent contrasts on multivariate shape data in R. However if no R method exists, I know a method to do this is implemented in MorphoJ, and I could possibly code an analogous method in R but I'm unsure how the contrasts are calculated. Does anybody know if the independent contrasts are calculated using the method described in McPeek (1994), the Euclidean distances between contrasts on each branch, or another method? Thanks, Sarah -- MORPHMET may be accessed via its webpage at http://www.morphometrics.org --- You received this message because you are subscribed to the Google Groups "MORPHMET" group. To unsubscribe from this group and stop receiving emails from it, send an email to morphmet+unsubscr...@morphometrics.org. -- MORPHMET may be accessed via its webpage at http://www.morphometrics.org --- You received this message because you are subscribed to the Google Groups "MORPHMET" group. To unsubscribe from this group and stop receiving emails from it, send an email to morphmet+unsubscr...@morphometrics.org.
