Dear John,
can you please be a bit more specific with your error message. It is
always good to have a reproducible example, e.g. adding a tree which
where drop.tip fails, and to run traceback() just after the error to
get more information where the error occurred. It is also useful to
add
Hi John,
It seems a problem occurs within write.tree and not with the pruning.
So try prune the trees first and then write them out.
tr2=vector(list, 1000)
for(i in 1:1000){
tr2[[i]] - drop.tip(tr[[i]],tr[[i]]$tip.label[-match(taxa,
tr[[i]]$tip.label)])
}
class(tr2) = multiPhylo
plot(tr2)
for(i
-- Forwarded message --
From: Lee Hsiang Liow l.h.l...@ibv.uio.no
Date: Thu, Feb 28, 2013 at 2:23 AM
Subject: Deadline extended: Unifying paleobiological and comparative
perspectives on character evolution, Lisbon 2013 (ESEB)
Dear Colleagues,
We would like to invite you to send
Estimating Ongoing Evolution by Repeated Sampling with Long Time Intervals.
Is there a way to construct dendrograms similar to those used in phylogenetics
but
with 2 main differences:
(1) Instead of observing at one time, small samples from a very large
population are taken at regular
An old parsimony-based approach to this is known as stratocladistics. There
are no R implementations, as far as I know, but you could wrap phangorn to
do this, I imagine, though it does require writing a new function.
Pseudocode:
#my.taxa.vector is character vector of tips
best.phy -
