Dear Alberto,
I think the problem with including both males and females as separate
datapoints in the analysis is that you're artificially doubling the sample
size, which will make your statistical results difficult to interpret.
Why don't you do two separate analyses (or three)? One with male
Dear Kaspar,
Are your traits the same? Basically, are the seven color patches on the same
individual all one trait, or are they seven traits? Do all species have the
seven color patches? Or are the number of color patches variable? (this could
also be a character).
I think before you attempt
Dear Pascal, Carl, and everyone,
Thank you Carl for responding! It is also often helpful to increase the
relative tolerance (reltol) parameter. By increasing the tolerance (making the
value smaller) it sometimes helps with convergence.
You can also use subplex rather than the methods available
Hi Nina and everyone,
One thing to consider is that not all zero data are the same. Zeros under a
model of continuous trait evolution with a gaussian process as assumed under
Brownian motion and OU processes would occasionally cross zero, maybe go
negative, etc. For example if you were modeling
Dear Julien,
There is no problem with applying an ANOVA within a phylogenetic framework.
This is essentially phylogenetic GLS, which you can implement easily with APE.
You can have a look at Emmanuel's book (which was just recently came out in the
second edition Nov. 2011, by the way).
http://
Dear Elena,
If I understand you correctly, you are trying to fit a unique regime to each
branch of the tree?
This is not advisable, as there are more branches than there are more branches
than there are terminal taxa (data points). So you are trying to fit many more
parameters than you have d
Dear Pas,
I am wondering what the general aim of your study is?
I agree with Ted, that you should be careful about your assumptions and the
tools you are using. Ted's point that K is a descriptive statistic is an
important one. K describes the expected divergence among tip traits assuming a
m
Good morning Pascal,
We (Cressler, King, and myself) have a paper soon to be submitted that shows
that model selection is very robust, but parameter estimates, esp. alpha and
sigma are very difficult to estimate, because they have high variance.
Although the bias is manageable, it is very har
Hi Anna,
You may also want to try ouch. It allows you to fit models of adaptive
evolution to continous data based on adaptation to selective regimes specified
by the ecological factors. What you describe is exactly the situation that
ouch was designed for.
Another method OUwie, is along th
Hi Tom,
One thing to keep in mind is the information content of the data relative to
what you are trying to infer. Basically, you have data only at the tips, but
are trying to infer the state of the root deep in the tree. So therefore there
is actually very little information being brought to b
Oops. Sorry the citation is Schluter, Price, Mooers, Ludwig 1997. Likelihood of
ancestor states in adaptive radiation. Evolution 51:1699-1711. This issue has
been known for a long time.
On Jul 30, 2013, at 6:51 AM, Marguerite Butler wrote:
> Hi Tom,
>
> One thing to keep in mi
2013 at 10:21 AM, sandra goutte 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 that this would lead to very large standard e
Hi Sam and Jeremy,
On May 19, 2009, at 11:34 AM, Sam Brown wrote:
>
>
>> I was just wondering if there is a package or function in R that
>> can simulate
>> two continuous traits with a user-specified correlation coefficient
>> using a
>> known tree topology, branch lengths, and a model of Br
well so that you end up at the proper "target" --
the data which you are trying to fit).
Hope this is not too confusing.
Take care,
Marguerite Butler
On Oct 26, 2009, at 8:53 AM, Andrew Hipp wrote:
> Dear Fabio,
>
> In ouch v2 and up, the root state is not treated as a f
Hi Alejandro,
The info you want is given in the example script of the dataset bimac, which is
included for ouch. To see the help page:
require(ouch)
data(bimac)
?bimac
Then what you need is:
tree <- with(bimac,ouchtree(node,ancestor,time/max(time),species))
plot(tree,node.names=TRUE)
The opti
Hi David, Liam and everyone,
Reflecting traits at boundaries or absorbing them is something that can be
done, but I guess I'd like to encourage everyone to think carefully about the
interpretation of such simulations. What are you trying to model and what does
it mean at the end? Doing these bo
ot; traits,
absorbing boundaries don't seem like a good model to me. I have never been able
to think up a good biological mechanism for a reflecting boundary.
Sorry for the extra email from the incomplete thought.
M
On Mar 5, 2011, at 8:50 PM, Marguerite Butler wrote:
> Hi David,
at measurements of
> signal might be prone to odd results with the kludge, because the data
> structure would still be quite different from BM expectation. Perhaps,
> the threshold model might be of a lot of use here; I'm going to have
> to look into that much more.
>
> T
Hi Andrew,
>>
>> Does this sidestep the degrees of
>> freedom problem discussed by Garland et al.? Can anybody point me to
>> references discussing the mechanics of this process and why this is an
>> appropriate thing to do?
>
Others on this list will disagree with me, but it's not a "degree
Hi Alberto and Ted, and others,
Maybe this is too late to jump into the discussion, but I wanted to add a few
comments regarding analysis of the evolution of size and shape. I agree with
Ted that there are a number of important considerations: (1) size and its
meaning, (2) how you remove it,
erite
On Apr 1, 2011, at 7:57 AM, Marguerite Butler wrote:
> Hi Alberto and Ted, and others,
>
> Maybe this is too late to jump into the discussion, but I wanted to add a few
> comments regarding analysis of the evolution of size and shape. I agree with
> Ted that there are a
, Paleobiology
> > Department of Geological Sciences
> > Stanford School of Earth, Energy & Environmental Sciences
> > williamgearty.com <http://williamgearty.com/>
> >
> > [[alternative HTML version deleted]]
> >
> >
FAX: 808-956-4745
http://butlerlab.org
http://manoa.hawaii.edu/biology/people/marguerite-butler
http://www2.hawaii.edu/~mbutler
> On Jun 11, 2018, at 7:33 PM, Simone Blomberg wrote:
>
> This sounded wrong to me, as the OU process should be agnostic to the
> dataset: There are no
.org
> https://stat.ethz.ch/mailman/listinfo/r-sig-phylo
> Searchable archive at
> http://www.mail-archive.com/r-sig-phylo@r-project.org/
>
--
Marguerite A. Butler
Professor
Department of Biology
2538 McCarthy Mall, Edmondson Hall 216
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> >
> >>
>
>
> [[alternative HTML version deleted]]
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> __
r
Department of Biology
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nt of Biology
2538 McCarthy Mall, Edmondson Hall 216
Honolulu, HI 96822
Office: 808-956-4713
Dept: 808-956-8617
Lab: 808-956-5867
FAX: 808-956-4745
http://butlerlab.org
http://manoa.hawaii.edu/biology/people/marguerite-butler
http://www2.hawaii.edu/~mbutler
[[alternative HTML version delete
earchable archive at
> http://www.mail-archive.com/r-sig-phylo@r-project.org/
>
--
____
Marguerite A. Butler
Professor
Department of Biology
2538 McCarthy Mall, Edmondson Hall 216
Honolulu, HI 96822
Office: 808-956-4713
Dept: 808-956-8617
p)# calculate correlation separately
gls(Y ~ X, dat, correlation = cbm) ## works!
Thanks,
Marguerite
On Fri, May 14, 2021 at 10:21 PM Marguerite Butler
wrote:
> Aloha Oliver,
>
> From the cor.Brownian help page, the explanation for the form argument is
> this:
>
> a
is called.
>
> So you make it work by removing "dat$" in the call to corBrownian():
>
> cbm <- corBrownian(1, tree, form = ~Species)
>
> Best,
>
> Emmanuel
>
> - Le 17 Mai 21, à 6:22, Marguerite Butler mbutler...@gmail.com a
> écrit :
>
> &g
.
Thanks again for your kind replies,
Marguerite
On Sun, May 16, 2021 at 8:58 PM Emmanuel Paradis
wrote:
> - Le 17 Mai 21, à 13:41, Marguerite Butler a
> écrit :
>
> Thank you very much for the reply Emmanuel!
>
> OK, yes I just tried and Iʻm surprised that this
; Searchable archive at
> http://www.mail-archive.com/r-sig-phylo@r-project.org/
>
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> Searchable archive at
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>
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