Dear Julien,
maybe I dont understand your rmodel...but IF your
model has one continuous dep. and one categorical
(binary) indep. it looks like an ANOVA model: in this
case phy.anova() [or phy.manova() if you have 1
dependents] in the R package geiger does it. IF the
model is different
VERY synthetically
The two r-squared are NOT comparable. Taking in to
account phylogeny is useful just to partial out data
non independence due to shared ancestry, and to
perform better tests of significance but the r-sq
could be higher or smaller just because of chance.
Maybe someone can
Hi all,
I think my question has somthing to do with past posts
about add.everywhere() and bind.tree().
If I have a tree and a group of taxa to be added to
that tree each of which in a tip-specific position
(i.e. each attached to a particular node)and with a
particular edge length there is a fast
Hi all,
Having a tree (NOT ultrametric in my case) I would
like to extract the phylogenetic covariance matrix
including both tips and nodes (like dist.nodes for
patristic distances).
vcv returns the cov matric just for tips.
Someone has a fast way?
Thankyou very much
Paolo
Hi all,
I would like to try some diversification analyses
using medusa or related methods(gamma stat, Quasse,
etc).
However, my tree is highly NOT ultrametric as it
includes many extinct (and sometimes very old) taxa.
From literature it seems that these methods are not
applicable to non
Hi Emmanuel,
Thankyou very much for your reply. In fact the rwb()
function (library paleoPhylo; thanks to Thomas Ezard
for some extra code) does much of the things I need.
Some other methods are not yet implemented for non
ultrametric trees. For now...
Best
Paolo
Hi Paolo,
The methods you cite
Dear all,
I write you in order to ask some help in interpreting
global multivariate tests using pics of a model
including multivariate response and an univariate
predictor.
I APOLOGIZE IN ADVANCE IF MY QUESTION WILL RESULT
TRIVIAL.
I found substantial differences using summary.lm(),
anova.lm()
Hi all,
Citing
http://www.r-phylo.org/wiki/HowTo/Ancestral_State_Reconstruction:
Using Felsenstein's (1985) phylogenetic independent
contrasts (pic); This is also a Brownian-motion based
estimator, but it only takes descendants of each node
into account in reconstructing the state at that node.
Hi all,
someone knows a smart coding to cut a tree in order to
retain only taxa present in a given time interval bin?
Thanks in advance for any suggestion
best
paolo
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Hi AnneMarie,
I dont really know if this makes sense; in fact
ancestral state reconstruction is an ** a posteriori
estimation ** of nodal values starting from tips
observations.
A trick could be to add a false taxon lnked to that
node and giving to it a 0 branch length (i.e.
plitomized - you can
Thanyou Nick!
it seems there are a lot of useful functions; thankyou
very much
best
paolo
Looks like this is solved, but:
Awhile ago I decided it would be handy to
extract/display
all kinds of information from a tree in a table
format, with
a row for each node. Two of the columns
Hi Emmanuel,
This is syncronism!
I JUST solved in ONE line using dist.nodes()
it seems correct to me; if anyone find a bug ..thanks
in advance
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