Hi Everyone. I'm trying to look at the association between a discrete binary predictor (Latitude: Colorado/Ecuador) and a continuous response (species richness).
My phylogeny is a 50% majority rule consensus tree made in MrBayes. The tree has polytomies and is not ultrametric. I've found the methods below for looking at the influence of a discrete binary trait on richness, but I'm not sure if my tree is suitable or if there is a better approach. 1) Diversitree package BiSSE 2) Caper package using MacroCAIC Any suggestions would be greatly appreciated. Thank You. Brian -- Brian A. Gill VISIT MY WEBSITE: http://gillbriana.wix.com/brian-gill FOLLOW ME ON TWITTER: @CSUBrianGill Colorado State University Biology 1878 Campus Delivery Fort Collins, CO 80523 United States of America 970-215-7037 [[alternative HTML version deleted]] _______________________________________________ R-sig-phylo mailing list - R-sig-phylo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/r-sig-phylo@r-project.org/
