Hello, I have been trying to figure out a few details in the caper functions brunch and crunch.
Say I want to run PIC for Y as a function of X (as seen in Garland and Ives 2000), my understanding is I would have to find the IC's for Y and X independently and apply the regression formulas. What kinds of "models" can I use in crunch? Can I do Y as a function of X1 and X2, all of the variables being continuous? Are the contrasts for each variable computed independently or simultaneously? Does brunch only let me use Y as a function of one binary trait? Does it allow Y to be a function of one continuous trait and on binary trait? Thanks! Yanthe E. Pearson Postdoctoral Researcher Dept. of Biology, Fagan Lab University of Maryland College Park Email: ypear...@umd.edu _______________________________________________ R-sig-phylo mailing list R-sig-phylo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-phylo
