reorder from ape or phangorn:::reorderPruning (a bit faster) are
generally a much faster alternative for read.tree(write.tree(...)),
even this got also faster recently.
Cheers,
Klaus
On 3/8/11, David Bapst dwba...@uchicago.edu wrote:
Hello all,
Apologies for sending another post this week
; no branch lengths.
Anyone have any idea what's going on? For now, I'll solve it by using
the read.tree(write.tree()) kludge.
-Dave
--
David Bapst
Dept of Geophysical Sciences
University of Chicago
5734 S. Ellis
Chicago, IL 60637
http://home.uchicago.edu/~dwbapst
it):
library(multicore)
job - parallel(prop.part(res_tree))
system.time(out - collect(job))
user system elapsed
0.080 0.010 0.002
out - out[[1]]
identical(out, desc2)
[1] TRUE
This might be even more interesting with lists of trees.
David Bapst wrote on 07/03/2011 04:32:
Klaus
) nodeDescendents(res_tree_ou,x)))
user system elapsed
65.910.23 68.47
--
David Bapst
Dept of Geophysical Sciences
University of Chicago
5734 S. Ellis
Chicago, IL 60637
http://home.uchicago.edu/~dwbapst/
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El 4/3/11 9:14 p.m., David Bapst escribió:
All-
As far as I understand it, the vast majority of continuous
character
analyses assume that the trait is distributed normally and
without
bounds. Is there an appropriate transformation
(edge_end,function(x) node.tips(res_tree,x)))
user system elapsed
4.07 0.00 4.07
Cheers,
Klaus
On 3/6/11, David Bapst dwba...@uchicago.edu wrote:
Hello all,
I'm currently trying to measure a parameter over a large number of
large trees (1700 tips), and part of this calculation
' for that trait? Must we convert
these traits to discrete categories to deal with them at all?
As always, I appreciate your advice.
-Dave Bapst, UChicago
--
David Bapst
Dept of Geophysical Sciences
University of Chicago
5734 S. Ellis
Chicago, IL 60637
http://home.uchicago.edu/~dwbapst
) and the
write.nexus() and write.tree() errors (trash_b). These are small,
partially collapsed portions of my supertree with the species names
deleted. They can be found at:
http://home.uchicago.edu/~dwbapst/trash_a.nex
http://home.uchicago.edu/~dwbapst/trash_b.nex
-Dave
--
David Bapst
Dept
and to be pointed to any releveant literature.
Thanks!
Stacey
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David Bapst
Dept of Geophysical Sciences
University of Chicago
5734 S. Ellis
Chicago
(Alroy, 1998).
Thus, it is of interest to me to know if none of the models I have
considered are adequate descriptions of the real processes.
Interesting responses, all! Thank you very much for this discussion!
-Dave
--
David Bapst
Dept of Geophysical Sciences
University of Chicago
5734 S. Ellis
the evolution of that property (Brownian or otherwise) in each
species relative to other species?
On 19/1/11 12:41 AM, David Bapst dwba...@uchicago.edu wrote:
fitContinuous is for analyzing lineage-level trait evolution on a
phylogeny, and a distance-matrix does not describe lineage-level
You mention read.tree(), but have you tried read.nexus()? I just tried it
now on your file and it was read into R by read.nexus() fine and plotted
with plot.phylo() without error.
-Dave
On Mon, Oct 25, 2010 at 4:13 PM, Joey Pakes joey.pa...@gmail.com wrote:
Hello,
I have made a tree with
Hello all,
I have been using ace() to reconstruct ancestral states for a number
of continuous morphological traits. I need confidence intervals for my
analysis. However, for some sets of traits, I get the following error:
Warning message:
In sqrt(diag(solve(out$hessian))) : NaNs produced
The
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