Dear all,
I'm wondering if it would be statistically/philosophically correct to use
n-fold cross-validation to evaluate a linear regression with independent
contrasts. My doubt comes from the fact that when simply dividing the IC
dataset in, lets say, 10 folds, some folds will remove the
Hi everyone,
Just a quick question: I was wondering if there is a R implementation of
Wayne Maddison's (1990) concentrated changes test (
http://www.jstor.org/stable/2409434). After a little looking around, I
can't seem to find it but was hoping someone else might have some ideas.
Thanks in
Isn't it in Mesquite?
Cheers,
Ted
Theodore Garland, Jr., Professor
Department of Biology
University of California, Riverside
Riverside, CA 92521
Office Phone: (951) 827-3524
Facsimile: (951) 827-4286 = Dept. office (not confidential)
Email: tgarl...@ucr.edu
It looks like transform.phylo has been deprecated. Use rescale.phylo.
All the best, Liam
Liam J. Revell, Assistant Professor of Biology
University of Massachusetts Boston
web: http://faculty.umb.edu/liam.revell/
email: liam.rev...@umb.edu
blog: http://blog.phytools.org
On 5/16/2014 2:20 PM,
Hi Agus -
Geiger has changed - now you should use rescale. E.g.
library(geiger)
geo - get(data(geospiza))
lphy - rescale(geo$phy, lambda, 0.5) # transform tree in one fell swoop
plot(lphy)
On May 16, 2014, at 11:20 AM, Agus Camacho agus.cama...@gmail.com wrote:
Dear list users,
Im
Thank you both, Ted and Joe,
My first (or second) option would be doing what Ted suggested, but it will
require a bit more coding than just using already existing functions. I
will try to do that anyway, and compare the results to those from the
cross-validation on the independent contrasts.
Thank you both,
However,
geo - get(data(geospiza))
lphy - rescale(geo$phy, lambda, 0.5) # transform tree in one fell swoop
Error in colMeans(x, na.rm = TRUE) : 'x' must be numeric
I got this error also for simulated and other real trees.
2014-05-16 15:24 GMT-03:00 Liam J. Revell
