ore direct
approach might be to use a phylogenetic Bayesian multi-level model, as
implemented in brms or mcmcglmm, where all observations are included and
species identity is treated as an effect.
I've probably missed something, but I hope this helps...
Graham
--
Graham Slater [he/him/his]
Hi Pedro,
multi2di on this newick string returns a tree of 102 tips with 103 nodes, so
you seem to have a badly formatted tree. Plotting the resulting tree with all
edge lengths = 1 does not immediately reveal, at least to me, where the
issue(s) lie but perhaps it will to you?
Graham
Hi Rafael,
You need to mean-center your traits before multiplying by the matrix of
eigenvectors. Compute the vector of phylogenetic means (under BM or Pagel’s
lambda), subtract each value from the relevant column of Xm and then compute
Si. The result should be identical to the scores from your
is the depth of your tree and min.rate is the
ending rate. I've found a value of 10^-5 is reasonable in most cases.
Graham
Graham Slater
Peter Buck Post-Doctoral Fellow
Department of Paleobiology
National Museum of Natural History
between pairs of taxa that differ in categorical group
membership, you can't model Y as a function of both a discrete and continuous
trait.
Graham
Graham Slater
Department of Ecology and Evolutionary Biology
University of California
, Brasil.
tree.jpeg___
R-sig-phylo mailing list
R-sig-phylo@r-project.org
https://stat.ethz.ch/mailman/listinfo/r-sig-phylo
Graham Slater Ph. D.
Department of Ecology and Evolutionary Biology
the pics returned
would be random.
Graham
Graham Slater
Department of Ecology and Evolutionary Biology
University of California, Los Angeles
621 Charles E Young Drive South
Los Angeles
CA 90095-1606
(310) 825-4669
gsla...@ucla.edu
Hi AnneMarie,
The way Paolo suggests would be the best/right way to do this. We're
working on some methods for incorporating fossil info in comparative
methods and I have some code that will do this that i can send you
off-list if you would like. I should add that, at least based on what
= _)
Graham Slater
Department of Ecology and Evolutionary Biology
University of California, Los Angeles
621 Charles E Young Drive South
Los Angeles
CA 90095-1606
(310) 825-4669
gsla...@ucla.edu
www.eeb.ucla.edu/gslater
On Mar 4, 2011, at 7:45 AM, Liam J. Revell wrote
.
Butler and King (2004) discuss this a little bit more.
Graham
Graham Slater
Department of Ecology and Evolutionary Biology
University of California, Los Angeles
621 Charles E Young Drive South
Los Angeles
CA 90095-1606
(310) 825-4669
gsla
10 matches
Mail list logo