Dear Liam and Julien,
Thank you both for your help. I have tried both solutions on the same
dataset under a BM model to compare them. I expected to get similar
results, at least for the general conclusions on the significance of
correlations.
for Julien's solution, I ran:
model<-mvBM(tree,
Oi Julien,
Yes you are right, I was comparing things that are not the same! However,
even changing the p-values as you suggested, the conclusions (which is
really what i'm interested in) are still much different between the two
methods. For the example I gave above, the correlation is still not
Dear list,
I have 2 sets of continuous variables (acoustic and environmental) and a
phylogeny for a group of species. I am looking for correlations between the
environmental variables and the acoustic ones. I ran a pCCA (phyl.cca
{phytools} ), which gave me p-values for the correlations of each
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On Tue, Oct 29, 2013 at 10:21 AM, sandra goutte gou...@mnhn.fr wrote:
Thank you Marguerite. Looking at OUwie and OUCH/SLOUCH, i see that
alpha is
estimated along the other parameters, whereas in Hansen 1997 and other
papers it is suggested
On Oct 24, 2013, at 7:03 AM, sandra goutte gou...@mnhn.fr wrote:
Dear list,
My aim is to compare the fit of models for which *theta* is allowed to
change at different nodes (different combinations of 1 ,2 or 3 nodes). I
don't really understand the calculation of the deviance
Thank you both for your answers, i will look into those packages.
Best,
Sandra.
2013/10/25 Brian O'Meara bome...@utk.edu
You can also use OUwie for a variety of models (OU with different means
and/or different variances and/or different attraction values), but it
returns AIC and lnL scores
Dear list,
My aim is to compare the fit of models for which *theta* is allowed to
change at different nodes (different combinations of 1 ,2 or 3 nodes). I
don't really understand the calculation of the deviance, but if i'm not
mistaken the difference between the deviances of 2 models follows a
Dear list,
I am trying to run a gls with an OU correlation structure using corMartins.
I first wanted to check whether i had a phylogenetic autocorrelation in my
trait, so i used the Moran's I index (Moran.I):
vcovm-vcv(corMartins(1,tree, fixed=T))
Moran.I(trait, vcovm, alt=greater)
And i
Hi Emmanuel,
Thank you so much for those answers!
Sandra.
2013/7/3 Emmanuel Paradis emmanuel.para...@ird.fr
Hi Sandra,
Le 01/07/2013 22:03, sandra goutte a écrit :
Hello all,
I am sorry if the question has already been answered, i have not found it
int the archive.
I am using
Hello all,
I am sorry if the question has already been answered, i have not found it
int the archive.
I am using compar.gee to look at possible correlations between behavioral
traits and ecological variables. I have two problems:
1) if i try a model with more than 3 predictors, the function
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Calendar: http://www.brianomeara.info/calendars/omeara
On Wed, Jun 12, 2013 at 11:10 AM, sandra goutte gou...@mnhn.fr wrote:
Hi Luke,
Thank you for your message. I know that the Continuous section of
BayesTraits accepts missing data, but i haven't found any information on
how
Hello everyone,
I am new to the r-sig-phylo mailing list; I have looked up in the archives,
but i haven't found any answer to my question, so here it is:
I have a tree with 156 tips, and various data sets (morphology, ecology,
behavioral data; continuous and discrete), but i have missing data,
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