Long story short, you don't want to think about it in those terms. Cheers, Ted
Theodore Garland, Jr. Professor Department of Biology University of California, Riverside Riverside, CA 92521 Office Phone: (951) 827-3524 Wet Lab Phone: (951) 827-5724 Dry Lab Phone: (951) 827-4026 Home Phone: (951) 328-0820 Facsimile: (951) 827-4286 = Dept. office (not confidential) Email: tgarl...@ucr.edu http://www.biology.ucr.edu/people/faculty/Garland.html Experimental Evolution: Concepts, Methods, and Applications of Selection Experiments Edited by Theodore Garland, Jr. and Michael R. Rose http://www.ucpress.edu/book.php?isbn=9780520261808 (PDFs of chapters are available from me or from the individual authors) ________________________________________ From: r-sig-phylo-boun...@r-project.org [r-sig-phylo-boun...@r-project.org] on behalf of Ana Longo [ana.lo...@gmail.com] Sent: Wednesday, January 18, 2012 7:20 AM To: r-sig-phylo@r-project.org Subject: [R-sig-phylo] Comparing slopes from regressions and PIC regressions Dear all I am currently analyzing a community dataset of two continuous traits – survival and disease resistance. I ran two regressions: (1) considering each species independent data points, and (2) phylogenetic independent contrasts. Both regressions were significant. Blomberg’s K also significant and ~ 0.38, and 0.34, respectively. However, I am interested in the slope of these regressions. For regression 1, slope = 0.142, for regression 2 slope = 0.105. I am interested in saying how much (in %) the evolutionary relationships contributed to the slope. My question is: Can I say that evolutionary relationships accounted for 74% (0.105/0.142) of the observed slope? Or is it only 26%? Thanks in advance for your help, since I don't have any experience running these types of analyses. Best regards, Ana [[alternative HTML version deleted]] _______________________________________________ R-sig-phylo mailing list R-sig-phylo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-phylo
