Hi Zach.
Do you just mean the mean patristic distance among all pairwise
combinations of species in each assemblage?
If you have your assemblages in a list of vectors, each containing the
species of the corresponding assemblage, I think you could do:
library(ape)
D<-cophenetic(tree)
d<-sapply(assemblages,function(sp,D) mean(as.dist(D[sp,sp])),D=D)
Does that work?
All the best, Liam
Liam J. Revell, Associate 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 2/2/2017 3:22 PM, Zach Culumber wrote:
Hi everyone,
I have a time-calibrated phylogeny with ~100 species and a list of ~1000
observed species assemblages which vary from 2-20 species in size. I'd
like to get the mean phylogenetic distance among species in each
assemblage, but I'm having difficulty finding a way to do this. The
comm.phylo.cor command in picante throws an error in as.hclust.default(x),
that x cannot be coerced to class hclust, and I've hit a dead end finding a
solution to that error. I'm not sure whether comm.phylo.cor will do what I
want even if it works.
I wrote a loop to prune the phylogeny separately for each group of species,
which can then theoretically be used to get the distances with
cophenetic.phylo. However, as soon as I start to run cophenetic.phylo
across my list of trees, R starts to hang up and freeze my entire computer
even though my code is set to skip trees for which distance can't be
measured. One time it managed run a few and gave a memory error (e.g.,
6050235 Tb of memory is not available). But R freezes even when I try to
run this on an 12 core mac.
Does anyone have any other suggestions for how to get the mean phylogenetic
distance for subsets of species on a tree? Thanks for any ideas!
Zach
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