Re: [R-sig-phylo] Add terminal branches to tree

2017-06-27 Thread Sergio Ferreira Cardoso
Hi Dave,

Thanks a lot. It was exactly this I was trying to do.
Thank you all for your advice.

Cheers,
Sérgio.

- Mensagem original -
> De: "David Bapst" <dwba...@gmail.com>
> Para: "Sergio Ferreira Cardoso" <sergio.ferreira-card...@umontpellier.fr>
> Cc: "Eliot Miller" <et...@cornell.edu>, "r-sig-phylo" 
> <r-sig-phylo@r-project.org>
> Enviadas: Terça-feira, 20 De Junho de 2017 0:11:02
> Assunto: Re: [R-sig-phylo] Add terminal branches to tree

> Hi Sergio,
> 
> Sorry for being late to the party, but maybe expandTaxonTree in
> paleotree does what you're looking for? I wrote it for turning trees
> of genera into trees of species, with the resulting generic polytomies
> collapsed or not (in case we know that the genera is paraphyletic).
> 
> Cheers,
> -Dave
> 
> On Mon, Jun 19, 2017 at 9:36 AM, Sergio Ferreira Cardoso
> <sergio.ferreira-card...@umontpellier.fr> wrote:
>> Thank you all for your suggestions. I guess the more direct way is to use
>> Megaptera. I tried and it worked (I added Man cra1, Man cra2, etc.).
>> However, I wanted it to create a new node that would basically include all
>> these taxa. I sthere any way to merge all the added species in a new node?
>> Thank you all, once again.
>>
>> 
>>
>> De: "Eliot Miller" <et...@cornell.edu>
>> Para: "Christoph Heibl" <christoph.he...@gmx.net>
>> Cc: "Liam Revell" <liam.rev...@umb.edu>, "r-sig-phylo"
>> <r-sig-phylo@r-project.org>, "Sergio Ferreira Cardoso"
>> <sergio.ferreira-card...@umontpellier.fr>
>> Enviadas: Segunda-feira, 19 De Junho de 2017 14:40:15
>> Assunto: Re: [R-sig-phylo] Add terminal branches to tree
>>
>> Just to add to the slew of other good options, I have a small package up on
>> GitHub (https://github.com/eliotmiller/addTaxa/tree/master/R) that is
>> basically a big loop around Liam's bind.tip. There are examples included
>> with the package. The main function you'd be interested in is
>> randomlyAddTaxa(). It works fairly well last I checked, but there are some
>> limitations and the package is in need of an overhaul. The main limitation
>> is when two clades (A and B) are sister to one another and you intend to add
>> a taxon into the clade (A+B); it's currently impossible to generate the
>> topology (C,(A,B)), even though that's monophyletic and shouldn't be
>> prohibited. I aim to fix this at some point within the next month or two if
>> anyone's interested.
>> Eliot
>>
>> On Mon, Jun 19, 2017 at 8:30 AM, Christoph Heibl <christoph.he...@gmx.net>
>> wrote:
>>>
>>> Another possibility would be addSingleTip() and addTips() from the
>>> megaptera package (https://github.com/heibl/megaptera). The latter function
>>> can add any number of tips; the loop that Liam mentioned is already build
>>> into that function. This is potentially very slow, but for your tree size it
>>> should work. Note that you have to specify the 'tax' argument; it allows you
>>> to add tips also to internal nodes of higher rank than genera. In your case
>>> where you have only genera you can create 'tax' easily like this:
>>>
>>> ## 'species' is a vector of tip labels that you want to add
>>> ## will work only if your tip labels are of the form
>>> "Genus_epithet-or-any-other-string"
>>> library(megaptera)
>>> tax <- data.frame(genus = strip.spec(species),
>>> species = species,
>>> stringsAsFactors = FALSE)
>>>
>>>
>>>
>>> Christoph Heibl
>>> An der Weiherleite 3
>>> 86633 Neuburg an der Donau
>>> 08431-53 96 534 (Festnetz)
>>> 0176-23 86 57 92 (Mobil)
>>> christoph.he...@gmx.net
>>>
>>>
>>> Am 19.06.2017 um 14:06 schrieb Liam Revell:
>>>
>>> > The function add.species.to.genus may do what you want. It adds a single
>>> > species to the group defined by the MRCA of members of a genus, according 
>>> > to
>>> > multiple criteria (randomly and so on). It can add only one species at a
>>> > time, so you will need to write a for loop or something to iterate over 
>>> > the
>>> > species that you‚d like to add.
>>> >
>>> > --
>>> > Liam J. Revell, Associate Professor of Biology
>>> > University of Massachusetts Boston
>>> > web: http://faculty.umb.edu/liam.revell
>>> > email: liam.rev...@umb.ed

Re: [R-sig-phylo] Add terminal branches to tree

2017-06-19 Thread Sergio Ferreira Cardoso
Thank you all for your suggestions. I guess the more direct way is to use 
Megaptera. I tried and it worked (I added Man cra1, Man cra2, etc.). However, I 
wanted it to create a new node that would basically include all these taxa. I 
sthere any way to merge all the added species in a new node? 
Thank you all, once again. 

> De: "Eliot Miller" <et...@cornell.edu>
> Para: "Christoph Heibl" <christoph.he...@gmx.net>
> Cc: "Liam Revell" <liam.rev...@umb.edu>, "r-sig-phylo"
> <r-sig-phylo@r-project.org>, "Sergio Ferreira Cardoso"
> <sergio.ferreira-card...@umontpellier.fr>
> Enviadas: Segunda-feira, 19 De Junho de 2017 14:40:15
> Assunto: Re: [R-sig-phylo] Add terminal branches to tree

> Just to add to the slew of other good options, I have a small package up on
> GitHub ( https://github.com/eliotmiller/addTaxa/tree/master/R ) that is
> basically a big loop around Liam's bind.tip. There are examples included with
> the package. The main function you'd be interested in is randomlyAddTaxa(). It
> works fairly well last I checked, but there are some limitations and the
> package is in need of an overhaul. The main limitation is when two clades (A
> and B) are sister to one another and you intend to add a taxon into the clade
> (A+B); it's currently impossible to generate the topology (C,(A,B)), even
> though that's monophyletic and shouldn't be prohibited. I aim to fix this at
> some point within the next month or two if anyone's interested.
> Eliot

> On Mon, Jun 19, 2017 at 8:30 AM, Christoph Heibl < christoph.he...@gmx.net >
> wrote:

>> Another possibility would be addSingleTip() and addTips() from the megaptera
>> package ( https://github.com/heibl/megaptera ). The latter function can add 
>> any
>> number of tips; the loop that Liam mentioned is already build into that
>> function. This is potentially very slow, but for your tree size it should 
>> work.
>> Note that you have to specify the 'tax' argument; it allows you to add tips
>> also to internal nodes of higher rank than genera. In your case where you 
>> have
>> only genera you can create 'tax' easily like this:

>> ## 'species' is a vector of tip labels that you want to add
>> ## will work only if your tip labels are of the form
>> "Genus_epithet-or-any-other-string"
>> library(megaptera)
>> tax <- data.frame(genus = strip.spec(species),
>> species = species,
>> stringsAsFactors = FALSE)

>> Christoph Heibl
>> An der Weiherleite 3
>> 86633 Neuburg an der Donau
>> 08431-53 96 534 (Festnetz)
>> 0176-23 86 57 92 (Mobil)
>> christoph.he...@gmx.net

>> Am 19.06.2017 um 14:06 schrieb Liam Revell:

>>> The function add.species.to.genus may do what you want. It adds a single 
>>> species
>>> to the group defined by the MRCA of members of a genus, according to 
>>> multiple
>>> criteria (randomly and so on). It can add only one species at a time, so you
>>> will need to write a for loop or something to iterate over the species that
>> > you‚d like to add.

>> > --
>> > Liam J. Revell, Associate Professor of Biology
>> > University of Massachusetts Boston
>> > web: http://faculty.umb.edu/liam.revell
>> > email: liam.rev...@umb.edu

>> > Sent from my Windows 10 phone

>> > From: Sergio Ferreira Cardoso> > sergio.ferreira-card...@umontpellier.fr >
>> > Sent: Monday, June 19, 2017 6:58 AM
>> > To: r-sig-phylo
>> > Subject: [R-sig-phylo] Add terminal branches to tree

>> > Hello all,

>>> I'm using the package 'phytools' to try to add terminal branches to a tree
>>> (attached). I tried to use add.everywhere function to add terminal 
>>> branches. I
>>> have 167 terminal taxa inside each of the 7 genera on my tree. Basically, I
>>> just wanted to add some dozens of specimens to the end of each branch, but I
>>> don't find a way to do it. Is there any tool that would allow me to do this?
>> > Like adding 30 branches to 'Phal', adding 25 to 'Phat', etc.

>> > Thanks in advance.



>> > --
>> > Institut des Sciences de l'Evolution
>> > UMR5554, CNRS, IRD, EPHE
>> > Université de Montpellier
>> > Place Eugène Bataillon
>> > 34095 Montpellier Cedex 05
>> > France
>> > Email: sergio.ferreira-card...@umontpellier.fr
>> > Tel: +33 (4 ) 67 14 46 52

>> > [[alternative HTML version deleted]]

>> > ___
>> > R-sig-phylo mailing list - R-sig-phylo@r-project.org
>> > https://stat.ethz.ch/mailman/listinfo/r-sig-phylo
>> > Searchable archive at 
>> > http://www.mail-archive.com/r-sig-phylo@r-project.org/

>> [[alternative HTML version deleted]]

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[R-sig-phylo] Add terminal branches to tree

2017-06-19 Thread Sergio Ferreira Cardoso
Hello all, 

I'm using the package 'phytools' to try to add terminal branches to a tree 
(attached). I tried to use add.everywhere function to add terminal branches. I 
have 167 terminal taxa inside each of the 7 genera on my tree. Basically, I 
just wanted to add some dozens of specimens to the end of each branch, but I 
don't find a way to do it. Is there any tool that would allow me to do this? 
Like adding 30 branches to 'Phal', adding 25 to 'Phat', etc. 

Thanks in advance. 



-- 
Institut des Sciences de l'Evolution 
UMR5554, CNRS, IRD, EPHE 
Université de Montpellier 
Place Eugène Bataillon 
34095 Montpellier Cedex 05 
France 
Email: sergio.ferreira-card...@umontpellier.fr 
Tel: +33 (4 ) 67 14 46 52 
#NEXUS

BEGIN TREES;
Title 'Pango_dist_1';
ID 015c8c71a66c9;
LINK Taxa = Untitled_Block_of_Taxa;
TRANSLATE
[0] 1 Manc,
[1] 2 Smug,
[2] 3 Smut,
[3] 4 Phat,
[4] 5 Phal,
[5] 6 Manj,
[6] 7 Manp;
TREE 'Tree_pangos_dist1' = 
((1:2,(6:1,7:1):1):1,((2:1,3:1):1,(4:1,5:1):1):1):1[% ] [% ] [%  setBetweenBits 
= selected ];
END;



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Re: [R-sig-phylo] ape - corMartins

2017-01-25 Thread Sergio Ferreira Cardoso
Dear Emmanuel,

Thank you for your answer. I did try your suggestion and the alpha estimate was 
0.89. 
I created models with alpha= 0.1, 1, 50 and a Brownian Motion model, which 
looks like it is the best fitting model.

Model df  AIC  BIClogLik
fitOU0.11 17 49.25612 81.06653 -7.628058
fitOU1  2 17 50.42329 82.23371 -8.211647
fitOU50 3 17 50.42330 82.23371 -8.211648
fitBrownian 4 17 42.82985 74.64027 -4.414926

When I do a stepwise regression, it's even more accentuated:

> stepwise<-stepAIC(model,direction="both",trace=0)

 Model df  AIC  BIClogLik   
stepwise0.1  1  6 40.14718 51.37439 -14.07359
stepwise12  6 41.66723 52.89444 -14.83362
stepwise50   3  6 41.66724 52.89444 -14.83362
stepwiseBrownian 4  2 27.97681 31.71921 -11.98841 

Also, the model fit does not increase with alpha >1. I tried the following:

> fitPagel<-gls(fcl~mass+loc_dim+activity+feeding+loc_typ+agility,correlation=corPagel(value=1,phy=tree,fixed=FALSE),data=df,method="ML",weights=varFixed(~vf))
> fitPagel
Generalized least squares fit by maximum likelihood
  Model: fcl ~ mass + loc_dim + activity + feeding + loc_typ + agility 
  Data: df 
  Log-likelihood: -3.274044

Coefficients:
   (Intercept)   mass 
  -0.3378136590.058271471 
 loc_dim3D  activityDiurnal/Nocturnal 
   0.519780792   -0.202720741 
 activityNocturnal feedingOccasional_predator 
   0.057773877   -0.181687109 
   feedingPredator   loc_typFlyer 
  -0.153543188   -0.007564622 
  loc_typFossorial  loc_typScansorial 
   0.7442470550.291622930 
loc_typSemiaquatic loc_typTerrestrial 
   0.0292194950.449648236 
 agilityMedium agilityMedium_fast 
  -0.072365659   -0.246153152 
agilityMedium_slow   agilityVery_slow 
  -0.042370670   -0.255200809 

Correlation Structure: corPagel
 Formula: ~1 
 Parameter estimate(s):
   lambda 
0.9388239 
Variance function:
 Structure: fixed weights
 Formula: ~vf 
Degrees of freedom: 48 total; 32 residual
Residual standard error: 0.02930323 

#Comparison between models

Model df  AIC  BIClogLik  
fitOU0.11 17 49.25612 81.06653 -7.628058
fitOU1  2 17 50.42329 82.23371 -8.211647
fitOU50 3 17 50.42330 82.23371 -8.211648
fitBrownian 4 17 42.82985 74.64027 -4.414926
fitPagel5 18 42.54809 76.22971 -3.274044 

 Model df  AIC  BIClogLik   
stepwise0.1  1  6 40.14718 51.37439 -14.07359
stepwise12  6 41.66723 52.89444 -14.83362
stepwise50   3  6 41.66724 52.89444 -14.83362
stepwiseBrownian 4  2 27.97681 31.71921 -11.98841 
stepwisePagel5  4 28.65373 36.13854 -10.32687 

Since the Pagel estimates lambda values very close to 1, I believe this means 
my traits are evolving accoring to a Brownian Motion model.
I'll try to search in the literature for a discussion on the estimation of 
alpha. 

Thank you, once again.

Best regards,
Sérgio.



- Mensagem original -
> De: "Emmanuel Paradis" <emmanuel.para...@ird.fr>
> Para: "Sergio Ferreira Cardoso" <sff.card...@campus.fct.unl.pt>, 
> "r-sig-phylo" <r-sig-phylo@r-project.org>
> Enviadas: Terça-feira, 24 De Janeiro de 2017 19:21:46
> Assunto: Re: [R-sig-phylo] ape - corMartins

> Hi Sérgio,
> 
> It seems your results make good sense. alpha=0 is too far from the
> "optimum" value (i.e., the value that maximises the log-lik), so the
> optimisation fails to maximise the log-likelihood with respect to this
> parameter. It has been written in the literature that it is difficult to
> estimate reliably alpha in an OU model, and your results seem to confirm
> this.
> 
> Besides, alpha=0 is equivalent to a Brownian motion model. So if your
> traits are not really evolving according to this model, the GLS fitting
> procedure may be in difficulty.
> 
> You may try:
> 
> correlation = corMartins(value=0.9, phy=tree, fixed=FALSE)
> 
> If this estimates alpha=0.99, then you may probably rely on this result
> (after checking the estimates of the coefficients of course).
> 
> Best,
> 
> Emmanuel
> 
> Le 20/01/2017 à 15:16, Sergio Ferreira Cardoso a écrit :
>> Dear all,
>>
>> I tried to estimate a value for 

[R-sig-phylo] ape - corMartins

2017-01-20 Thread Sergio Ferreira Cardoso
Dear all,

I tried to estimate a value for alpha parameter of corMartins
(Ornstein-Uhlenbeck) but the output is a bit puzzling. I do as follows:

>
fitOU<-gls(fcl~mass+loc_dim+activity+feeding+loc_typ+agility,correlation=corMartins(value=0,phy=tree,fixed=FALSE),data=df,method="ML",weights=varFixed(~vf))
> Error in recalc.corStruct(object[[i]], conLin) :
NA/NaN/Inf in foreign function call (arg 4)

Enter a frame number, or 0 to exit

1: gls(fcl ~ mass + loc_dim + activity + feeding + loc_typ + agility,
correlati
2: nlminb(c(coef(glsSt)), function(glsPars) -logLik(glsSt, glsPars),
control =
3: objective(.par, ...)
4: logLik(glsSt, glsPars)
5: logLik.glsStruct(glsSt, glsPars)
6: recalc(object, conLin)
7: recalc.modelStruct(object, conLin)
8: recalc(object[[i]], conLin)
9: recalc.corStruct(object[[i]], conLin)

It work when I turn the "value" to 1, but then the estimate for alpha is
0.99, which looks like it isn't actually estimating a value and is instead
accepting my input as the alpha value. Do you think there is a reason for
this to happen?

Thank you in advance.

Cheers,
Sérgio.

-- 
Com os melhores cumprimentos,
Sérgio Ferreira Cardoso.



Best regards,
Sérgio Ferreira Cardoso




MSc. Paleontology
Museu da Lourinhã, GEAL.
LATR/IST/CTN - Campus Tecnológico e Nuclear.

Lisboa, Portugal

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Re: [R-sig-phylo] Amniote Phylogenetic Tree

2017-01-14 Thread Sergio Ferreira Cardoso
Dear François,

Thank you very much.

Cheers,
Sérgio.

Em 13/01/2017 6:03 da tarde, "François Michonneau" <
francois.michonn...@gmail.com> escreveu:

Hi Sergio,

  You might find what you want within the Open Tree of Life
(http://tree.opentreeoflife.org/) whose content can be accessed from R
with the rotl package
(https://cran.r-project.org/web/packages/rotl/index.html)

  Cheers,
  -- François

On Fri, Jan 13, 2017 at 7:04 AM, Sergio Ferreira Cardoso
<sff.card...@campus.fct.unl.pt> wrote:
> Hello all,
>
> Do you know of any database where one can obtain a good phylogeny of the
> Amniota (in NEXUS or NEWICK file)?
> Thank you.
>
> Best regards,
> Sérgio.
>
> --
> Com os melhores cumprimentos,
> Sérgio Ferreira Cardoso.
>
> 
>
> Best regards,
> Sérgio Ferreira Cardoso
>
>
>
>
> MSc. Paleontology
> Museu da Lourinhã, GEAL.
> LATR/IST/CTN - Campus Tecnológico e Nuclear.
>
> Lisboa, Portugal
>
> [[alternative HTML version deleted]]
>
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[R-sig-phylo] Amniote Phylogenetic Tree

2017-01-13 Thread Sergio Ferreira Cardoso
Hello all,

Do you know of any database where one can obtain a good phylogeny of the
Amniota (in NEXUS or NEWICK file)?
Thank you.

Best regards,
Sérgio.

-- 
Com os melhores cumprimentos,
Sérgio Ferreira Cardoso.



Best regards,
Sérgio Ferreira Cardoso




MSc. Paleontology
Museu da Lourinhã, GEAL.
LATR/IST/CTN - Campus Tecnológico e Nuclear.

Lisboa, Portugal

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[R-sig-phylo] Phylogenetic signal

2016-09-22 Thread Sergio Ferreira Cardoso
Dear all,

I was trying to find the pylogenetic signal for a trait and I used
phylosig():

phylosig(tree, trait, method="lambda", test=TRUE, nsim=999)

If I use, for instance, a lambda correlation in a gls, am I expected to
obtain the same value?

gls(trait~var1+var2, corPagel(value=1,phy=tree,fixed=F)...)

Is the lambda estimated for a model the same as the one calculated for a
trait alone? If I have a different result, what's it due to?

Thanks in advance.

-- 
Com os melhores cumprimentos,
Sérgio Ferreira Cardoso.



Best regards,
Sérgio Ferreira Cardoso




MSc. Paleontology
Museu da Lourinhã, GEAL.
LATR/IST/CTN - Campus Tecnológico e Nuclear.

Lisboa, Portugal
ᐧ

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Re: [R-sig-phylo] Error in trees[[i]] : subscript out of bounds

2016-05-23 Thread Sergio Ferreira Cardoso
Deal Liam and Emmanuel,

Thank you very much. I tried to open the file this way:

obj<-scan(file="TimetreeOfLife2015.tre",n=1,skip=2,what="character")
tree<-read.tree(text=obj)

It worked but then there were other errors. Something is wrong with te edge
lengths. I can't even plot the tree. I tried with read.tree but the errors
persisted.

When I used another tree, everything worked fine, so I guess I'll just use
that one.

Once again, thank you.

Sérgio.

2016-05-23 20:55 GMT+01:00 Emmanuel Paradis <emmanuel.para...@ird.fr>:

> Liam is probably right: there seems to be something missing in the NEXUS
> file.
>
> The Newick file from the same site can also be read with read.tree.
>
> Emmanuel
>
>
> Le 23/05/2016 18:21, Liam J. Revell a écrit :
>
>> It looks like the NEXUS file might be badly conformed.
>>
>> You could try:
>>
>> obj<-scan(file="TimetreeOfLife2015.tre",n=1,skip=2,what="character")
>> tree<-read.tree(text=obj)
>>
>> That seemed to work for me.
>>
>> - Liam
>>
>> Liam J. Revell, Associate Professor of Biology
>> University of Massachusetts Boston
>> web: http://faculty.umb.edu/liam.revell/
>> email: liam.rev...@umb.edu
>> blog: http://blog.phytools.org
>>
>> On 5/23/2016 12:11 PM, Sergio Ferreira Cardoso wrote:
>>
>>> Dear all,
>>>
>>> I am trying to open a .tre file with ape. I downloaded the tree from
>>> http://www.timetree.org/book#treefiles. It's a .tre (not .nex) file, but
>>> it's essentially a nexus. I tried to open it:
>>>
>>> tr <- read.nexus(file="TimetreeOfLife2015.tre")
>>>>
>>> Error in trees[[i]] : subscript out of bounds
>>>
>>> I tried to change the file name to .nex, but it wouldn't work. I saw some
>>> previous threads but I couldn't solve the problem.
>>> Does anyone know how can I solve this?
>>>
>>> Thanks in advance,
>>> Sérgio.
>>>
>>> ps: I have the lastest 3.4 version of ape.
>>>
>>>
>> ___
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>> https://stat.ethz.ch/mailman/listinfo/r-sig-phylo
>> Searchable archive at
>> http://www.mail-archive.com/r-sig-phylo@r-project.org/
>>
>


-- 
Com os melhores cumprimentos,
Sérgio Ferreira Cardoso.



Best regards,
Sérgio Ferreira Cardoso




MSc. Paleontology
Museu da Lourinhã, GEAL.

Lisboa, Portugal

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[R-sig-phylo] Weird abline

2015-07-22 Thread Sergio Ferreira Cardoso
Dear all,

I'm analysing a small data set consisting of values for 27 taxa. I am
extracting phylogenetic residuals from a regression (as in Revell, 2009) to
be used as size corrected values. Almost all the residuals are negative
because the regression line is positioned above what I would expect. Do you
think this has something to do with the phylogeny? It probably has because
everything looks fine with the ordinary least-squares.
Thanks in advance.

All the best,
Sérgio.

Here is the coding I used:

## Used packages

 library(ape, lib.loc=~/R/win-library/3.1)
 library(caper, lib.loc=~/R/win-library/3.1)
 library(nlme, lib.loc=~/R/win-library/3.1)
 library(phytools, lib.loc=~/R/win-library/3.1)
 library(phangorn, lib.loc=~/R/win-library/3.1)

## fitting PGLS

 fit_brain-pgls(perimeter~brain,comparative.data(tree,df,Species))
 summary(fit_brain)

## cross checking using phytools

 phyl.resid(tree,brain,perimeter,method=BM)

## quick plotting

 plot(brain,perimeter)
 abline(fit_brain)
 ols-lm(perimeter~brain,data=df)
 abline(ols)


-- 
Com os melhores cumprimentos,
Sérgio Ferreira Cardoso.



Best regards,
Sérgio Ferreira Cardoso




MSc. Paleontology candidate
Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
Geociências - Universidade de Évora

Lisboa, Portugal

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[R-sig-phylo] ANOVA type II with gls()

2015-07-21 Thread Sergio Ferreira Cardoso
Dear members,

Does anyone know a way to make anova SS II with gls class objects? I've
tried Anova() from car package but it does not work with gls().

Thanks in advance.

Best regards,
Sérgio.

-- 
Com os melhores cumprimentos,
Sérgio Ferreira Cardoso.



Best regards,
Sérgio Ferreira Cardoso




MSc. Paleontology candidate
Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
Geociências - Universidade de Évora

Lisboa, Portugal
ᐧ

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[R-sig-phylo] R-squared alternative for gls

2015-07-20 Thread Sergio Ferreira Cardoso
Hello members,

I'm creating relative values os semicircular canal size by fitting a PGLS
and extracting residuals (using phyl.resid). I've heard that R-squared
isn't meaningful in gls models. What I'm trying to do is to know is which
of the two independent variables is best and on a lm () model I would just
check the R-squared. Is the alternative, in the case of gls(), looking at
the AIC or logLik?

Thanks in advance.

Best regards,
Sérgio.

-- 
Com os melhores cumprimentos,
Sérgio Ferreira Cardoso.



Best regards,
Sérgio Ferreira Cardoso




MSc. Paleontology candidate
Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
Geociências - Universidade de Évora

Lisboa, Portugal
ᐧ

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Re: [R-sig-phylo] Different Lambda estimations

2015-07-20 Thread Sergio Ferreira Cardoso
Hi Emmanuel,

Thanks for your answer. So that means I can still use that Lambda estimated
value, I suppose. In the case of Lambda1, it then means that species are
more similar than expected, right?

Best regards,
Sérgio.

2015-07-17 15:57 GMT+01:00 Emmanuel Paradis emmanuel.para...@ird.fr:

 Hi Sérgio,

 In phytools, lambda is constrained to be positive, not in ape. A negative
 value of lambda is the consequence of closely related species being more
 dissimilar than expected under phylogenetic dependence (lambda = 1) or
 under independence (lambda = 0). This can be interpreted biologically as
 close species diverging into distinct niches and/or phenotypes.

 Best,

 Emmanuel


 Le 16/07/2015 20:34, Sergio Ferreira Cardoso a écrit :

 Hello all,

 I'm trying to estimate a lambda for my phylogeny but something strange
 happened. I used 3 different packages to confirm the estimated lambda
 value. My tree is ultrametric (with branchlengths in million years), it
 has
 59 tips and 58 internal nodes. Here is what I did:

  df-data.frame(y,x)
 df$Species-rownames(df)
 tree-read.nexus(TTOL_tree.nex)
 vf-diag(vcv(tree))
 phyl.resid(tree,x,y,method=lambda)


 ## phytools lambda = 0.741795

  fit-gls(y~x, correlation = corPagel(value=1,phy=tree,fixed=FALSE), data

 = df, method=ML,weights=varFixed(~vf))

 ## ape  nlme lambda = -0.6863758

  fit-pgls(y~x,comparative.data(tree,df,Species), lambda=ML)


 ## caper lambda = 0.742


 ​Does anyone know why ape's gls estimates a value as different as that?
 Lambda varies between 0 and 1. Is there any other way to estimate Lambda
 (just to make another check). This is not the first time Lambda
 estimations
 of my trees deliver values as strange as this one...

 Cheers,
 Sérgio.​





-- 
Com os melhores cumprimentos,
Sérgio Ferreira Cardoso.



Best regards,
Sérgio Ferreira Cardoso




MSc. Paleontology candidate
Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
Geociências - Universidade de Évora

Lisboa, Portugal

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Re: [R-sig-phylo] R-squared alternative for gls

2015-07-20 Thread Sergio Ferreira Cardoso
Dear Dr. Garland,

Then there is no problem because I just need to compare between
phylogenetic models.
Thank you.

Best regards,
Sérgio.

2015-07-20 14:48 GMT+01:00 Theodore Garland Jr theodore.garl...@ucr.edu:

 It's not that r squared isn't meaningful for generalized least squares but
 rather that it cannot be compared directly with values from OLS models.

 Cheers,
 Ted

 From: R-sig-phylo [r-sig-phylo-boun...@r-project.org] on behalf of Sergio
 Ferreira Cardoso [sff.card...@campus.fct.unl.pt]
 Sent: Monday, July 20, 2015 4:11 AM
 To: R phylo mailing list mailing list
 Subject: [R-sig-phylo] R-squared alternative for gls

 Hello members,

 I'm creating relative values os semicircular canal size by fitting a PGLS
 and extracting residuals (using phyl.resid). I've heard that R-squared
 isn't meaningful in gls models. What I'm trying to do is to know is which
 of the two independent variables is best and on a lm () model I would just
 check the R-squared. Is the alternative, in the case of gls(), looking at
 the AIC or logLik?

 Thanks in advance.

 Best regards,
 Sérgio.

 --
 Com os melhores cumprimentos,
 Sérgio Ferreira Cardoso.

 

 Best regards,
 Sérgio Ferreira Cardoso




 MSc. Paleontology candidate
 Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
 Geociências - Universidade de Évora

 Lisboa, Portugal
 ᐧ

 [[alternative HTML version deleted]]

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-- 
Com os melhores cumprimentos,
Sérgio Ferreira Cardoso.



Best regards,
Sérgio Ferreira Cardoso




MSc. Paleontology candidate
Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
Geociências - Universidade de Évora

Lisboa, Portugal

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[R-sig-phylo] Different Lambda estimations

2015-07-16 Thread Sergio Ferreira Cardoso
Hello all,

I'm trying to estimate a lambda for my phylogeny but something strange
happened. I used 3 different packages to confirm the estimated lambda
value. My tree is ultrametric (with branchlengths in million years), it has
59 tips and 58 internal nodes. Here is what I did:

 df-data.frame(y,x)
 df$Species-rownames(df)
 tree-read.nexus(TTOL_tree.nex)
 vf-diag(vcv(tree))
 phyl.resid(tree,x,y,method=lambda)

## phytools lambda = 0.741795

 fit-gls(y~x, correlation = corPagel(value=1,phy=tree,fixed=FALSE), data
= df, method=ML,weights=varFixed(~vf))

## ape  nlme lambda = -0.6863758

 fit-pgls(y~x,comparative.data(tree,df,Species), lambda=ML)

## caper lambda = 0.742


​Does anyone know why ape's gls estimates a value as different as that?
Lambda varies between 0 and 1. Is there any other way to estimate Lambda
(just to make another check). This is not the first time Lambda estimations
of my trees deliver values as strange as this one...

Cheers,
Sérgio.​

-- 
Com os melhores cumprimentos,
Sérgio Ferreira Cardoso.



Best regards,
Sérgio Ferreira Cardoso




MSc. Paleontology candidate
Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
Geociências - Universidade de Évora

Lisboa, Portugal

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Re: [R-sig-phylo] Prune very large tree

2015-07-15 Thread Sergio Ferreira Cardoso
Thank you all for the suggestions. Creating a vector with the species works
very well. :)

2015-07-15 17:59 GMT+01:00 Sergio Ferreira Cardoso 
sff.card...@campus.fct.unl.pt:

 Thank you very much Nicholas. Works perfectly!!! :)

 2015-07-15 17:22 GMT+01:00 Nicholas Crouch ncro...@uic.edu:

 Sergio,

 You can use ape's 'drop.tip', e.g.

 # Phylogeny is object 'phy'
 # Species interested in in object 'my.species'

 v - phy$tip.label %in% my.species
 drop - phy$tip.label[v==FALSE]

 trimmed.phy - drop.tip(phy, drop)

 On Wed, Jul 15, 2015 at 11:15 AM, Sergio Ferreira Cardoso 
 sff.card...@campus.fct.unl.pt wrote:

 Dear members,

 I have a tree with almost 10.000 species and I want to prune it. The
 problem is I only want a tree with 59 of those species. Is there any
 possible way to make this in R? Is there any code to prune all taxa
 except
 the ones on my data?

 Thanks in advance.

 Best regards,
 Sérgio.

 --
 Com os melhores cumprimentos,
 Sérgio Ferreira Cardoso.

 

 Best regards,
 Sérgio Ferreira Cardoso




 MSc. Paleontology candidate
 Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
 Geociências - Universidade de Évora

 Lisboa, Portugal
 ᐧ

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 --
 Nicholas Crouch
 Graduate Student, Igić Lab
 Department of Biological Sciences
 University of Illinois at Chicago




 --
 Com os melhores cumprimentos,
 Sérgio Ferreira Cardoso.

 

 Best regards,
 Sérgio Ferreira Cardoso




 MSc. Paleontology candidate
 Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
 Geociências - Universidade de Évora

 Lisboa, Portugal




-- 
Com os melhores cumprimentos,
Sérgio Ferreira Cardoso.



Best regards,
Sérgio Ferreira Cardoso




MSc. Paleontology candidate
Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
Geociências - Universidade de Évora

Lisboa, Portugal

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[R-sig-phylo] Build consensus trees

2015-07-15 Thread Sergio Ferreira Cardoso
Dear all,

I have a nexus file with 1000 trees on it with divergence times as branch
lengths. Does anyone know about a package that can make a consensus tree
out of my 1000 trees?
Thanks in advance.

Best regards,
Sérgio.

-- 
Com os melhores cumprimentos,
Sérgio Ferreira Cardoso.



Best regards,
Sérgio Ferreira Cardoso




MSc. Paleontology candidate
Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
Geociências - Universidade de Évora

Lisboa, Portugal

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Re: [R-sig-phylo] Build consensus trees

2015-07-15 Thread Sergio Ferreira Cardoso
Ok. I just solved the problem with adding file= when using wirte.nexus.

2015-07-15 14:56 GMT+01:00 Sergio Ferreira Cardoso 
sff.card...@campus.fct.unl.pt:

 Thank you François,

 I was trying to use consensus() from ape, but when I try to write a nexus
 file I get an error message:

  trees-read.nexus(1000_trees.nex)
  consensus(trees,p=1,check.labels=TRUE)
  write.nexus(my_tree,consensus_birds.nex)
 #NEXUS
 [R-package APE, Wed Jul 15 14:49:14 2015]

 BEGIN TAXA;
 DIMENSIONS NTAX = 59;
 TAXLABELS
 Rhynchotus_rufescens
 Apteryx_haastii
 Dromaius_novaehollandiae
 (...)
 ;
 END;
 BEGIN TREES;
 TRANSLATE
 Error in y$tip.label : $ operator is invalid for atomic vectors

 My only problem now is to create the file. I'm going to try the softwares
 you pointed.

 Best regards,
 Sérgio.
 ᐧ

 2015-07-15 14:49 GMT+01:00 François Michonneau 
 francois.michonn...@gmail.com:

 Hi Sergio,

   Not in R, but you can use PAUP, MrBayes or Dendropy (my recommendation).

   Cheers,
   -- François

 2015-07-15 7:53 GMT-04:00 Sergio Ferreira Cardoso
 sff.card...@campus.fct.unl.pt:
  Dear all,
 
  I have a nexus file with 1000 trees on it with divergence times as
 branch
  lengths. Does anyone know about a package that can make a consensus tree
  out of my 1000 trees?
  Thanks in advance.
 
  Best regards,
  Sérgio.
 
  --
  Com os melhores cumprimentos,
  Sérgio Ferreira Cardoso.
 
  
 
  Best regards,
  Sérgio Ferreira Cardoso
 
 
 
 
  MSc. Paleontology candidate
  Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
  Geociências - Universidade de Évora
 
  Lisboa, Portugal
 
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 --
 Com os melhores cumprimentos,
 Sérgio Ferreira Cardoso.

 

 Best regards,
 Sérgio Ferreira Cardoso




 MSc. Paleontology candidate
 Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
 Geociências - Universidade de Évora

 Lisboa, Portugal




-- 
Com os melhores cumprimentos,
Sérgio Ferreira Cardoso.



Best regards,
Sérgio Ferreira Cardoso




MSc. Paleontology candidate
Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
Geociências - Universidade de Évora

Lisboa, Portugal

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Re: [R-sig-phylo] Build consensus trees

2015-07-15 Thread Sergio Ferreira Cardoso
Thank you François,

I was trying to use consensus() from ape, but when I try to write a nexus
file I get an error message:

 trees-read.nexus(1000_trees.nex)
 consensus(trees,p=1,check.labels=TRUE)
 write.nexus(my_tree,consensus_birds.nex)
#NEXUS
[R-package APE, Wed Jul 15 14:49:14 2015]

BEGIN TAXA;
DIMENSIONS NTAX = 59;
TAXLABELS
Rhynchotus_rufescens
Apteryx_haastii
Dromaius_novaehollandiae
(...)
;
END;
BEGIN TREES;
TRANSLATE
Error in y$tip.label : $ operator is invalid for atomic vectors

My only problem now is to create the file. I'm going to try the softwares
you pointed.

Best regards,
Sérgio.
ᐧ

2015-07-15 14:49 GMT+01:00 François Michonneau 
francois.michonn...@gmail.com:

 Hi Sergio,

   Not in R, but you can use PAUP, MrBayes or Dendropy (my recommendation).

   Cheers,
   -- François

 2015-07-15 7:53 GMT-04:00 Sergio Ferreira Cardoso
 sff.card...@campus.fct.unl.pt:
  Dear all,
 
  I have a nexus file with 1000 trees on it with divergence times as branch
  lengths. Does anyone know about a package that can make a consensus tree
  out of my 1000 trees?
  Thanks in advance.
 
  Best regards,
  Sérgio.
 
  --
  Com os melhores cumprimentos,
  Sérgio Ferreira Cardoso.
 
  
 
  Best regards,
  Sérgio Ferreira Cardoso
 
 
 
 
  MSc. Paleontology candidate
  Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
  Geociências - Universidade de Évora
 
  Lisboa, Portugal
 
  [[alternative HTML version deleted]]
 
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-- 
Com os melhores cumprimentos,
Sérgio Ferreira Cardoso.



Best regards,
Sérgio Ferreira Cardoso




MSc. Paleontology candidate
Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
Geociências - Universidade de Évora

Lisboa, Portugal

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[R-sig-phylo] Prune very large tree

2015-07-15 Thread Sergio Ferreira Cardoso
Dear members,

I have a tree with almost 10.000 species and I want to prune it. The
problem is I only want a tree with 59 of those species. Is there any
possible way to make this in R? Is there any code to prune all taxa except
the ones on my data?

Thanks in advance.

Best regards,
Sérgio.

-- 
Com os melhores cumprimentos,
Sérgio Ferreira Cardoso.



Best regards,
Sérgio Ferreira Cardoso




MSc. Paleontology candidate
Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
Geociências - Universidade de Évora

Lisboa, Portugal
ᐧ

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[R-sig-phylo] phyres function R package caper

2015-06-24 Thread Sergio Ferreira Cardoso
Dear all,

When I try to get a list os phylogenetic residuals using phyres function
from R package I get this message: Error: could not find function phyres.
Does anyone know how to solve this problem?

 phyres(fit.gls1)
Error: could not find function phyres

​Best regards,
Sérgio.​

-- 
Com os melhores cumprimentos,
Sérgio Ferreira Cardoso.



Best regards,
Sérgio Ferreira Cardoso




MSc. Paleontology candidate
Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
Geociências - Universidade de Évora

Lisboa, Portugal

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Re: [R-sig-phylo] phyres function R package caper

2015-06-24 Thread Sergio Ferreira Cardoso
Thank you both.

Best regards,
Sérgio.
No dia 24 de Jun de 2015 18:30, Theodore Garland Jr 
theodore.garl...@ucr.edu escreveu:

 Thank you, Liam!

 Cheers,
 Ted

 From: Liam J. Revell [liam.rev...@umb.edu]
 Sent: Wednesday, June 24, 2015 10:24 AM
 To: Theodore Garland Jr; Sergio Ferreira Cardoso; R phylo mailing list
 mailing list
 Subject: Re: [R-sig-phylo] phyres function R package caper

 Hi all.

 To the original question, you should be able to get these values first
 using gls(...,correlation=corBrownian(...)) in nlme  then applying
 residuals to the fitted model returned by gls. For instance, for data
 frame X with variables x  y, and ultrametric phylogeny tree, you might
 compute:

 library(ape)
 library(nlme)
 fit-gls(y~x,data=X,correlation=corBrownian(1,tree))
 residuals(fit)

 (phytools also has a function for this, phyl.resid, but it does exactly
 the same thing as the code above, and thus there is really no reason to
 prefer that function - except perhaps to cross-check your result for
 errors.)

 With regards to Ted's comment, indeed these are different quantities.
 Though the fitted coefficients from a contrasts regression should be the
 same as above, the residuals will be different (and there will be one
 fewer of them, besides). These residuals, from the contrasts regression,
 should be phylogenetically independent; however they are not longer
 associated with species, but with 'contrasts' or nodes in the tree. To
 obtain these residuals from a contrasts regression you should be able to
 do something like:

 X-X[tree$tip.label,] ## precautionary
 pic.x-pic(X[,x],tree)
 pic.y-pic(X[,y],tree)
 fit-lm(pic.y~pic.x-1)
 residuals(fit)

 There is no particular reason to prefer one set of quantities over the
 other - it just depends on what subsequent analyses are intended. In the
 former case, the residuals are associated with species - but these
 residuals consequently will be phylogenetically correlated  thus the
 tree needs to be taken into consideration in any subsequent analysis.
 The latter residuals are phylogenetically independent, but no longer
 associated with species. (I hate to cite myself, but this is discussed
 in my paper Revell 2009; Evolution.)

 I hope this is of some help.

 All the best, Liam

 Liam J. Revell, Assistant Professor of Biology
 University of Massachusetts Boston
 web: http://faculty.umb.edu/liam.revell/
 email: liam.rev...@umb.edu
 blog: http://blog.phytools.org

 On 6/24/2015 12:35 PM, Theodore Garland Jr wrote:
  Hi All,
 
  I am going to suggest that when people want any sort of phylogenetic
 residuals they do some checking on their own to try to verify what,
 exactly, they are getting.  Here's one check you can do.  Compute
 phylogenetically independent contrasts for two traits.  Perform a
 regression (through the origin, of course) of one trait on the other.  Save
 the residuals.  Compare them with the phylogenetic residuals you get from
 some other program that does a PGLS regression (not with any transformation
 of the branch lengths).  Let us know what you find!
 
  Cheers,
  Ted
 
  Theodore Garland, Jr., Professor
  Department of Biology
  University of California, Riverside
  Riverside, CA 92521
  Office Phone:  (951) 827-3524
  Facsimile:  (951) 827-4286 (not confidential)
  Email:  tgarl...@ucr.edu
  http://www.biology.ucr.edu/people/faculty/Garland.html
  http://scholar.google.com/citations?hl=enuser=iSSbrhwJ
 
  Director, UCR Institute for the Development of Educational Applications
 
  Editor in Chief, Physiological and Biochemical Zoology
 
  Fail Lab: Episode One
  http://testtube.com/faillab/zoochosis-episode-one-evolution
  http://www.youtube.com/watch?v=c0msBWyTzU0
 
  
  From: R-sig-phylo [r-sig-phylo-boun...@r-project.org] on behalf of
 Sergio Ferreira Cardoso [sff.card...@campus.fct.unl.pt]
  Sent: Wednesday, June 24, 2015 9:21 AM
  To: R phylo mailing list mailing list
  Subject: [R-sig-phylo] phyres function R package caper
 
  Dear all,
 
  When I try to get a list os phylogenetic residuals using phyres function
  from R package I get this message: Error: could not find function
 phyres.
  Does anyone know how to solve this problem?
 
  phyres(fit.gls1)
  Error: could not find function phyres
 
  ​Best regards,
  Sérgio.​
 
  --
  Com os melhores cumprimentos,
  Sérgio Ferreira Cardoso.
 
  
 
  Best regards,
  Sérgio Ferreira Cardoso
 
 
 
 
  MSc. Paleontology candidate
  Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
  Geociências - Universidade de Évora
 
  Lisboa, Portugal
 
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Re: [R-sig-phylo] Non Parametric PGLS

2015-06-18 Thread Sergio Ferreira Cardoso
Hi Liam,

Again, thank you for the answer. Yes, I'm aware that they are
phylogenetically correlated and that they need to be subsequently analysed
with methods such as PGLS. In fact, when I apply a normality test to (
chol(solve(vcv(tree)))%*%residuals(fit))the transformed residuals are
normally distributed. But I understand that the residuals I need to use as
size-corrected traits are the ones without the transformation (that, in my
case, aren't normal, and that's why I was a bit worried).
Thanks a lot for the help.

Cheers,
Sérgio.

2015-06-18 15:54 GMT+01:00 Liam J. Revell liam.rev...@umb.edu:

 Hi Sérgio.

 What Simon ( I, in my blog post) suggested is that to test the 'normality
 assumption' you need to first transform the residuals with the inverse
 Cholesky decomposite matrix. This will give you a vector in which the
 values should be normal  independent (assuming that the correlation
 structure of the residuals is properly given by the tree). However these
 values are no longer associated with species(!) so they cannot be used in
 subsequent among-species analyses. So, basically, yes - you should use the
 residuals before transformation in cross-species analyses (for instance, as
 'size corrected' trait values); however you need to remember that they are
 still phylogenetically correlated. I hope that's clear enough.

 All the best, Liam

 Liam J. Revell, Assistant Professor of Biology
 University of Massachusetts Boston
 web: http://faculty.umb.edu/liam.revell/
 email: liam.rev...@umb.edu
 blog: http://blog.phytools.org

 On 6/18/2015 6:16 AM, Sergio Ferreira Cardoso wrote:

 Hello again,

 Thanks for your help. This kind of solved my problem. I normally use
 some kind of test (shapiro or komolgorov) to test for normality. I know
 histograms or qqnorm plots a more helpful, but they are more
 vulnerable to each others interpretation.
 So, just to make clear one thing: these kind of analysis of the residual
 error
 (
 http://blog.phytools.org/2013/02/a-comment-on-distribution-of-residuals.html
 )
 has nothing to do with phylogenetic residuals taken from a regression
 (in order to obtain relative values - size-correction as in Revell, L.
 J. (2009). Size‐correction and principal components for interspecific
 comparative studies. Evolution, 63(12), 3258-3268.). So even if
 residuals from a PGLS aren't normal, this means I can still use them as
 size-corrected values for a certain trait, correct?
 Once again, thank you very much for your advices.

 Best regards,
 Sérgio.

 2015-06-18 4:56 GMT+01:00 Simon Blomberg s.blombe...@uq.edu.au
 mailto:s.blombe...@uq.edu.au:


 Hi Sérgio.

 Liam is right. But we do expect the normalised residuals to be
 approximately Normal. You can calculate the normalised residuals by
 pre-multiplying the raw residuals by the inverse of the Cholesky
 decomposition of the phylogenetic variance-covariance matrix, and
 then dividing by the estimate of the residual standard deviation (ie
 sigma). You may have to plug in a value for any parameters that are
 co-estimated along with the regression (Pagel's lambda, etc.). If
 you use the gls function in the nlme package to fit your model, then
 it's all easy:

 fit - gls(response~explanatory, correlation=corPagel(1,
 phy=my.tree), data=dat))
 res - residuals(fit, type=normalized)

 Then you can do some test for normality on those (I don't ordinarily
 recommend such things, although
 SnowsPenultimateNormalityTest in the TeachingDemos package is the
 best I have seen). More usefully, you can do a normal
 quantile-quantile plot to graphically see whether your normalised
 residuals are normal enough:

 qqnorm(fit, form=~residuals(., type=n), abline=c(0,1))

 See page 239 in Pinheiro and Bates (2000) Mixed-effects models in S
 and S-PLUS.

 Cheers,

 Simon.


 On 18/06/15 03:09, Liam J. Revell wrote:

 Hi Sérgio.

 It might be worth pointing out that we do not expect that the
 residuals from a phylogenetic regression to be normal. I
 described this with respect to the phylogenetic ANOVA on my blog
 (
 http://blog.phytools.org/2013/02/a-comment-on-distribution-of-residuals.html
 ),
 but this applies equally to phylogenetic regression.

 All the best, Liam

 Liam J. Revell, Assistant Professor of Biology
 University of Massachusetts Boston
 web: http://faculty.umb.edu/liam.revell/
 email: liam.rev...@umb.edu mailto:liam.rev...@umb.edu
 blog: http://blog.phytools.org

 On 6/17/2015 12:40 PM, Sergio Ferreira Cardoso wrote:

 Hello all,

 I'm having a problem with a Multiple Regression PGLS
 analysis that I'm
 performing. The residuals are not normal and it's difficult
 to bring them
 to normality. In these cases, are there any alternatives to
 the linear

Re: [R-sig-phylo] Non Parametric PGLS

2015-06-18 Thread Sergio Ferreira Cardoso
Hello again,

Thanks for your help. This kind of solved my problem. I normally use some
kind of test (shapiro or komolgorov) to test for normality. I know
histograms or qqnorm plots a more helpful, but they are more vulnerable
to each others interpretation.
So, just to make clear one thing: these kind of analysis of the residual
error (
http://blog.phytools.org/2013/02/a-comment-on-distribution-of-residuals.html)
has nothing to do with phylogenetic residuals taken from a regression (in
order to obtain relative values - size-correction as in Revell, L. J.
(2009). Size‐correction and principal components for interspecific
comparative studies. Evolution, 63(12), 3258-3268.). So even if residuals
from a PGLS aren't normal, this means I can still use them as
size-corrected values for a certain trait, correct?
Once again, thank you very much for your advices.

Best regards,
Sérgio.

2015-06-18 4:56 GMT+01:00 Simon Blomberg s.blombe...@uq.edu.au:

 Hi Sérgio.

 Liam is right. But we do expect the normalised residuals to be
 approximately Normal. You can calculate the normalised residuals by
 pre-multiplying the raw residuals by the inverse of the Cholesky
 decomposition of the phylogenetic variance-covariance matrix, and then
 dividing by the estimate of the residual standard deviation (ie sigma). You
 may have to plug in a value for any parameters that are co-estimated along
 with the regression (Pagel's lambda, etc.). If you use the gls function in
 the nlme package to fit your model, then it's all easy:

 fit - gls(response~explanatory, correlation=corPagel(1, phy=my.tree),
 data=dat))
 res - residuals(fit, type=normalized)

 Then you can do some test for normality on those (I don't ordinarily
 recommend such things, although
 SnowsPenultimateNormalityTest in the TeachingDemos package is the best I
 have seen). More usefully, you can do a normal quantile-quantile plot to
 graphically see whether your normalised residuals are normal enough:

 qqnorm(fit, form=~residuals(., type=n), abline=c(0,1))

 See page 239 in Pinheiro and Bates (2000) Mixed-effects models in S and
 S-PLUS.

 Cheers,

 Simon.


 On 18/06/15 03:09, Liam J. Revell wrote:

 Hi Sérgio.

 It might be worth pointing out that we do not expect that the residuals
 from a phylogenetic regression to be normal. I described this with respect
 to the phylogenetic ANOVA on my blog (
 http://blog.phytools.org/2013/02/a-comment-on-distribution-of-residuals.html),
 but this applies equally to phylogenetic regression.

 All the best, Liam

 Liam J. Revell, Assistant Professor of Biology
 University of Massachusetts Boston
 web: http://faculty.umb.edu/liam.revell/
 email: liam.rev...@umb.edu
 blog: http://blog.phytools.org

 On 6/17/2015 12:40 PM, Sergio Ferreira Cardoso wrote:

 Hello all,

 I'm having a problem with a Multiple Regression PGLS analysis that I'm
 performing. The residuals are not normal and it's difficult to bring them
 to normality. In these cases, are there any alternatives to the linear
 model? I know that for non-phylogenetic analyses other models exist, but
 is
 there any alternative method for phylogenetic analysis?
 Thanks in advance.

 Best regards,
 Sérgio.



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 --
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 Senior Lecturer and Consultant Statistician
 School of Biological Sciences
 The University of Queensland
 St. Lucia Queensland 4072
 Australia
 T: +61 7 3365 2506
 email: S.Blomberg1_at_uq.edu.au
 http://www.evolutionarystatistics.org

 Policies:
 1.  I will NOT analyse your data for you.
 2.  Your deadline is your problem.

 Basically, I'm not interested in doing research
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 understanding, which is quite a different thing.
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-- 
Com os melhores cumprimentos,
Sérgio Ferreira Cardoso.



Best regards,
Sérgio Ferreira Cardoso




MSc. Paleontology candidate
Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
Geociências - Universidade de Évora

Lisboa, Portugal

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[R-sig-phylo] Non Parametric PGLS

2015-06-17 Thread Sergio Ferreira Cardoso
Hello all,

I'm having a problem with a Multiple Regression PGLS analysis that I'm
performing. The residuals are not normal and it's difficult to bring them
to normality. In these cases, are there any alternatives to the linear
model? I know that for non-phylogenetic analyses other models exist, but is
there any alternative method for phylogenetic analysis?
Thanks in advance.

Best regards,
Sérgio.


-- 
Com os melhores cumprimentos,
Sérgio Ferreira Cardoso.



Best regards,
Sérgio Ferreira Cardoso




MSc. Paleontology candidate
Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
Geociências - Universidade de Évora

Lisboa, Portugal

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[R-sig-phylo] Phylogenetic size-correction

2015-06-15 Thread Sergio Ferreira Cardoso
Dear all,

I just read this paper: Revell, L. J. (2009). Size‐correction and principal
components for interspecific comparative studies. Evolution, 63(12),
3258-3268. There is no coding for R, but it says it can be made using APE.
From what I could understand this is as simples as:

-bm.gls-gls(trait~Bodymass, correlation=BM,data=DF,weights=varFixed(~vf))
-residuals(bm.gls)

Is this correct? Or do I need to ask for some special kind of residuals?

Best regards,
Sérgio.


-- 
Com os melhores cumprimentos,
Sérgio Ferreira Cardoso.



Best regards,
Sérgio Ferreira Cardoso




MSc. Paleontology candidate
Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
Geociências - Universidade de Évora

Lisboa, Portugal
ᐧ

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Re: [R-sig-phylo] Phylogenetic size-correction

2015-06-15 Thread Sergio Ferreira Cardoso
Hello,

I'm sorry for not specifying that. But yes, that's exactly it. Thanks for
the help.

Cheers,
Sérgio.

2015-06-15 12:47 GMT+01:00 Liam J. Revell liam.rev...@umb.edu:

 Hi Sergio.

 You didn't specify what BM  vf are, but if:

 BM-corBrownian(1,phy)
 ## and
 vf-diag(vcv(phy))

 then, yes, this is correct. There is a function in phytools, phy.resid,
 that also does this calculation.

 All the best, Liam

 Liam J. Revell, Assistant Professor of Biology
 University of Massachusetts Boston
 web: http://faculty.umb.edu/liam.revell/
 email: liam.rev...@umb.edu
 blog: http://blog.phytools.org


 On 6/15/2015 7:41 AM, Sergio Ferreira Cardoso wrote:

 Dear all,

 I just read this paper: Revell, L. J. (2009). Size‐correction and
 principal
 components for interspecific comparative studies. Evolution, 63(12),
 3258-3268. There is no coding for R, but it says it can be made using APE.

 From what I could understand this is as simples as:


 -bm.gls-gls(trait~Bodymass,
 correlation=BM,data=DF,weights=varFixed(~vf))
 -residuals(bm.gls)

 Is this correct? Or do I need to ask for some special kind of residuals?

 Best regards,
 Sérgio.





-- 
Com os melhores cumprimentos,
Sérgio Ferreira Cardoso.



Best regards,
Sérgio Ferreira Cardoso




MSc. Paleontology candidate
Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
Geociências - Universidade de Évora

Lisboa, Portugal

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Re: [R-sig-phylo] Phylogenetic PCA

2015-06-05 Thread Sergio Ferreira Cardoso
Thank you all for your suggestions. I'll check them all.
Thank you once again.

Cheers,
Sérgio.

2015-06-04 11:35 GMT+01:00 Thomas Püschel thomaspusc...@gmail.com:

 Hi Sergio,


 there you go http://blog.phytools.org/2011/04/new-function-phylpca.html
 http://cran.r-project.org/web/packages/phytools/index.html

 best wishes

 2015-06-04 11:26 GMT+01:00 Sergio Ferreira Cardoso 
 sff.card...@campus.fct.unl.pt:

 Dear all,

 I'm wondering if there is a package in R with which I can run a
 phylogenetic PCA. Please, if you know something or if you you know another
 software useful to use this technique, let me know.
 Thanks in advance.

 Best regards,
 Sérgio.

 --
 Com os melhores cumprimentos,
 Sérgio Ferreira Cardoso.

 

 Best regards,
 Sérgio Ferreira Cardoso




 MSc. Paleontology candidate
 Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
 Geociências - Universidade de Évora

 Lisboa, Portugal

 [[alternative HTML version deleted]]

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 --

 Thomas Püschel

 PhD student in Adaptive Organismal Biology

 Computational and Evolutionary Biology Group
 Faculty of Life Sciences
 University of Manchester
 Michael Smith Building
 Oxford Road
 Manchester
 M13 9PT
 United Kingdom
 Email: thomas.pusc...@postgrad.manchester.ac.uk
 thomas.puschelroul...@postgrad.manchester.ac.uk; thomaspusc...@gmail.com




-- 
Com os melhores cumprimentos,
Sérgio Ferreira Cardoso.



Best regards,
Sérgio Ferreira Cardoso




MSc. Paleontology candidate
Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
Geociências - Universidade de Évora

Lisboa, Portugal

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[R-sig-phylo] Phylogenetic PCA

2015-06-04 Thread Sergio Ferreira Cardoso
Dear all,

I'm wondering if there is a package in R with which I can run a
phylogenetic PCA. Please, if you know something or if you you know another
software useful to use this technique, let me know.
Thanks in advance.

Best regards,
Sérgio.

-- 
Com os melhores cumprimentos,
Sérgio Ferreira Cardoso.



Best regards,
Sérgio Ferreira Cardoso




MSc. Paleontology candidate
Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
Geociências - Universidade de Évora

Lisboa, Portugal

[[alternative HTML version deleted]]

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[R-sig-phylo] Residuals vs prediction intervals

2015-05-16 Thread Sergio Ferreira Cardoso
Hello all,

This isn't a specific question about phylogenies. Whenever I plot
prediction intervals for a linear model or a PGLS I can see what
observations fall out of the prediction intervals. My question is: if the
residuals of whatever regression model I'm using are normally/aproximatelly
normally distributed, then should I drop the observations falling out of
the prediction intervals? My question is, should take observations out of
the analysis because they fall out of the prediction intervals, because
they are severe outliers on a a normality plot or both.

Thank you very much, in advance.

Best regards,
Sérgio.

-- 
Com os melhores cumprimentos,
Sérgio Ferreira Cardoso.



Best regards,
Sérgio Ferreira Cardoso




MSc. Paleontology candidate
Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
Geociências - Universidade de Évora

Lisboa, Portugal
ᐧ

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Re: [R-sig-phylo] Residuals vs prediction intervals

2015-05-16 Thread Sergio Ferreira Cardoso
Please, ignore this e-mail. Sent by mistake. Senseless.

Regards,
Sérgio.
No dia 16 de Mai de 2015 16:10, Sergio Ferreira Cardoso 
sff.card...@campus.fct.unl.pt escreveu:

 Hello all,

 This isn't a specific question about phylogenies. Whenever I plot
 prediction intervals for a linear model or a PGLS I can see what
 observations fall out of the prediction intervals. My question is: if the
 residuals of whatever regression model I'm using are normally/aproximatelly
 normally distributed, then should I drop the observations falling out of
 the prediction intervals? My question is, should take observations out of
 the analysis because they fall out of the prediction intervals, because
 they are severe outliers on a a normality plot or both.

 Thank you very much, in advance.

 Best regards,
 Sérgio.

 --
 Com os melhores cumprimentos,
 Sérgio Ferreira Cardoso.

 

 Best regards,
 Sérgio Ferreira Cardoso




 MSc. Paleontology candidate
 Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
 Geociências - Universidade de Évora

 Lisboa, Portugal
 ᐧ


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Re: [R-sig-phylo] Non-ultrametric tree PGLS

2015-05-15 Thread Sergio Ferreira Cardoso
Thank you very much for your answers. They were really helpful.

Regards,
Sérgio.

2015-05-14 17:00 GMT+01:00 Theodore Garland Jr theodore.garl...@ucr.edu:

  Agreed!

  Similarly, Pagel's lambda ad Grafen's rho were designed from a purely
 statistical perspective, whereas OU and ACDC models are motivated by ties
 to a possible set of biological processes.

  Cheers,
 Ted

   *From:* Alejandro Gonzalez Voyer [
 alejandro.gonza...@iecologia.unam.mx]
 *Sent:* Thursday, May 14, 2015 8:47 AM
 *To:* Theodore Garland Jr
 *Cc:* Sergio Ferreira Cardoso; R phylo mailing list mailing list
 *Subject:* Re: [R-sig-phylo] Non-ultrametric tree PGLS

  Hi Sergio,

  I would add to Ted’s reply that you are not only considering alternative
 statistical models but that the evolutionary assumptions from the models
 you are fitting also differ, and you need to keep this in mind when
 comparing models. Comparison of AICs or any other estimate of goodness of
 fit must also involve careful consideration of the assumptions of the
 models you are comparing. In your particular case, the tree with branch
 lengths set to equal values (all branch lengths = 1) implies different
 amount of time to evolve for each of your species (in other words the
 expected variances - diagonal terms in the variance-covariance matrix -
 differ between the species), and thus you should consider whether such an
 assumption makes biological sense in your system.

  Cheers

  Alejandro
   ___
 Dr Alejandro Gonzalez Voyer

 Laboratorio de Conducta Animal
 Instituto de Ecología
 Circuito Exterior S/N
 Ciudad Universitaria
 Universidad Nacional Autónoma de México
 México, D.F.
 04510
 México

 Tel: +52 55 5622 9044
 E-mail: alejandro.gonza...@iecologia.unam.mx


  El 14/05/2015, a las 10:39, Theodore Garland Jr theodore.garl...@ucr.edu
 escribió:

 Hi Sergio,

 I am not quite understanding the situation nor why you see a problem.
  if I understand correctly, you are considering these five (5) alternative
 models for some sort of simple or multiple regression:

 OLS = star phylogeny
 PGLS with real-time branch lengths (ultrametric)
 Pagel's lambda with real-time branch lengths (ultrametric)
 PGLS with all branch legnths equal to 1.0
 Pagel's lambda with all branch lengths equal to 1.0

 To help decide which model best fits your data, you can look at AIC or for
 some comparisons do a likelihood ratio test.

 My experience is that any of the transform models (Pagel's lambda,
 Grafen's rho, OU in various implementations, ACDC) can sometimes yield
 really bizarre results when you start with a non-ultrametric tree.  You
 need to be careful and check the REML likelihood surface for multiple
 peaks, etc.

 Cheers,
 Ted

 Theodore Garland, Jr., Professor
 Department of Biology
 University of California, Riverside
 Riverside, CA 92521
 Office Phone:  (951) 827-3524
 Facsimile:  (951) 827-4286 (not confidential)
 Email:  tgarl...@ucr.edu
 http://www.biology.ucr.edu/people/faculty/Garland.html
 http://scholar.google.com/citations?hl=enuser=iSSbrhwJ

 Director, UCR Institute for the Development of Educational Applications

 Editor in Chief, Physiological and Biochemical Zoology

 Fail Lab: Episode One
 http://testtube.com/faillab/zoochosis-episode-one-evolution
 http://www.youtube.com/watch?v=c0msBWyTzU0

 
 From: R-sig-phylo [r-sig-phylo-boun...@r-project.org] on behalf of Sergio
 Ferreira Cardoso [sff.card...@campus.fct.unl.pt]
 Sent: Thursday, May 14, 2015 8:32 AM
 To: r-sig-phylo@r-project.org
 Subject: [R-sig-phylo] Non-ultrametric tree PGLS

 Hello all,

 I have an ultrametric phylogenetic tree with divergence times as branch
 lengths. To see if there was a big difference between using these branch
 lengths and equal (=1) branch lengths I set all lengths to 1 and ran a
 PGLS. I ran with Lambda transformations and the estimation is that Lambda
 is superior than 1 (both with ML and REML estimation). I suppose this is a
 consequence of the tree being non ultrametric. Is there a solution for this
 problem or should I, in this case, just ran a GLS (Brownian Motion) to
 avoid the over estimation of the phylogenetic signal?

 Best regards,
 Sérgio.

 --
 Com os melhores cumprimentos,
 Sérgio Ferreira Cardoso.

 

 Best regards,
 Sérgio Ferreira Cardoso




 MSc. Paleontology candidate
 Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
 Geociências - Universidade de Évora

 Lisboa, Portugal
 ᐧ

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[R-sig-phylo] Non-ultrametric tree PGLS

2015-05-14 Thread Sergio Ferreira Cardoso
Hello all,

I have an ultrametric phylogenetic tree with divergence times as branch
lengths. To see if there was a big difference between using these branch
lengths and equal (=1) branch lengths I set all lengths to 1 and ran a
PGLS. I ran with Lambda transformations and the estimation is that Lambda
is superior than 1 (both with ML and REML estimation). I suppose this is a
consequence of the tree being non ultrametric. Is there a solution for this
problem or should I, in this case, just ran a GLS (Brownian Motion) to
avoid the over estimation of the phylogenetic signal?

Best regards,
Sérgio.

-- 
Com os melhores cumprimentos,
Sérgio Ferreira Cardoso.



Best regards,
Sérgio Ferreira Cardoso




MSc. Paleontology candidate
Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
Geociências - Universidade de Évora

Lisboa, Portugal
ᐧ

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[R-sig-phylo] Weird estimated Lambda values (PGLS)

2015-05-08 Thread Sergio Ferreira Cardoso
Dear all,

I performed a PGLS with a tree with divergence times as branch lengths. I
used 1 dependent and 1 independent variable. When I estimate the Lambda (in
Pagel's method) I get the Maximum Likelihood Lambda ~0 and the Restricted
Maximum Likelihood Lambda 0.878054. This is really strange. I was thinking
I might have a tree with incorrect branchlengths but I checked the plot of
absolute value of contrast vs. standard deviation for both variables and
it's ok (according to Garland et al., 1992). With OU transformation I don't
have the same problem. However, the p-value of phylogenetic (both with OU
or with Brownian Motion PGLS) aren't very different from the ordinary
least-squares. Is there any other ordinary procedure/analysis I should make
other than the plots I checked to check my tree? (I understand that there
is a chance that the characters I am using have influence and maybe the
tree doesn't make any difference).

Best regards,
Sérgio.

-- 
Com os melhores cumprimentos,
Sérgio Ferreira Cardoso.



Best regards,
Sérgio Ferreira Cardoso




MSc. Paleontology candidate
Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
Geociências - Universidade de Évora

Lisboa, Portugal
ᐧ

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Re: [R-sig-phylo] Non normal PGLS results

2015-04-18 Thread Sergio Ferreira Cardoso
Hello,

Thank you very much for the answer. I assumed PGLS residuals had to be
normal (I saw this thread:
https://stat.ethz.ch/pipermail/r-sig-phylo/2012-May/002064.html). In fact,
what I'm analysing are standardized residuals (standardized by setting the
determinant of the covariance matrix equal to one).

I thought something was wrong with the residuals because when estimating
the Lamba using ML I get a completely different result from estimating it
with REML (e.g., REML est: 0.945; M est: ~0). Do you have any idea of wat
could be causing this?

Once again, thank you for answering.

Best regards,
Sérgio.
ᐧ

2015-04-18 18:22 GMT+01:00 Liam J. Revell liam.rev...@umb.edu:

 Hi Sergio.

 We don't expect the residuals from PGLS to be independent draws from a
 normal distribution, but multivariate normal with a correlation structure
 given by the tree.

 Here I give some more explanation of this on my blog:
 http://blog.phytools.org/2013/02/a-comment-on-distribution-of-residuals.html
 .

 Let us know if this is helpful.

 All the best, Liam

 Liam J. Revell, Assistant Professor of Biology
 University of Massachusetts Boston
 web: http://faculty.umb.edu/liam.revell/
 email: liam.rev...@umb.edu
 blog: http://blog.phytools.org


 On 4/18/2015 1:15 PM, Sergio Ferreira Cardoso wrote:

 Dear all,

 I'm performing PGLS's with an ultrametric phylogenetic tree (divergence
 time as branchlengths). I tied Pagel's Lambda transformation, OU
 transformation, regular GLS and OLS, to compare results. There is one
 problem: the residuals of my analyses are not normal. I tried to remove
 big
 outliers but it made things even worse, because without them there are
 even
 more outliers.

 So, what should I do? The results are consistent in both 4 tests. But can
 I
 trust the results of the PGLS? Is it particularly bad if PGLS residuals
 aren't normal? Does it critically afect my results?

 Thanks in advance.

 Best regards,
 Sérgio.




-- 
Com os melhores cumprimentos,
Sérgio Ferreira Cardoso.



Best regards,
Sérgio Ferreira Cardoso




MSc. Paleontology candidate
Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
Geociências - Universidade de Évora

Lisboa, Portugal

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[R-sig-phylo] Non normal PGLS results

2015-04-18 Thread Sergio Ferreira Cardoso
Dear all,

I'm performing PGLS's with an ultrametric phylogenetic tree (divergence
time as branchlengths). I tied Pagel's Lambda transformation, OU
transformation, regular GLS and OLS, to compare results. There is one
problem: the residuals of my analyses are not normal. I tried to remove big
outliers but it made things even worse, because without them there are even
more outliers.

So, what should I do? The results are consistent in both 4 tests. But can I
trust the results of the PGLS? Is it particularly bad if PGLS residuals
aren't normal? Does it critically afect my results?

Thanks in advance.

Best regards,
Sérgio.

-- 
Com os melhores cumprimentos,
Sérgio Ferreira Cardoso.



Best regards,
Sérgio Ferreira Cardoso




MSc. Paleontology candidate
Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
Geociências - Universidade de Évora

Lisboa, Portugal

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Re: [R-sig-phylo] Non normal PGLS results

2015-04-18 Thread Sergio Ferreira Cardoso
Hi Dr. Garland,

I just ran a normal OLS and the residuals are normal.Actually, I thing my
data has a lot of what you call long singleton branches. I'm sending a
pdf. of it attached.

Best regards,
Sérgio.
ᐧ

2015-04-18 19:09 GMT+01:00 Theodore Garland Jr theodore.garl...@ucr.edu:

 If you get such a large difference between ML and REML estimation in this
 sort of situation then probably either (1) something is wrong with the code
 (bad search algorithm?) or (2) you have something pathological in your tip
 data set and/or the tree (e.g., some really long singleton branches or
 really short sister branches).  If you see a big outlier in the residuals,
 then this is a problem - I would not trust the results.  How do the
 residuals look from a regular OLS analysis?

 Cheers,
 Ted

 From: R-sig-phylo [r-sig-phylo-boun...@r-project.org] on behalf of Sergio
 Ferreira Cardoso [sff.card...@campus.fct.unl.pt]
 Sent: Saturday, April 18, 2015 10:59 AM
 To: Liam J. Revell
 Cc: r-sig-phylo@r-project.org
 Subject: Re: [R-sig-phylo] Non normal PGLS results

 Hello,

 Thank you very much for the answer. I assumed PGLS residuals had to be
 normal (I saw this thread:
 https://stat.ethz.ch/pipermail/r-sig-phylo/2012-May/002064.html). In fact,
 what I'm analysing are standardized residuals (standardized by setting the
 determinant of the covariance matrix equal to one).

 I thought something was wrong with the residuals because when estimating
 the Lamba using ML I get a completely different result from estimating it
 with REML (e.g., REML est: 0.945; M est: ~0). Do you have any idea of wat
 could be causing this?

 Once again, thank you for answering.

 Best regards,
 Sérgio.
 ᐧ

 2015-04-18 18:22 GMT+01:00 Liam J. Revell liam.rev...@umb.edu:

  Hi Sergio.
 
  We don't expect the residuals from PGLS to be independent draws from a
  normal distribution, but multivariate normal with a correlation structure
  given by the tree.
 
  Here I give some more explanation of this on my blog:
 
 http://blog.phytools.org/2013/02/a-comment-on-distribution-of-residuals.html
  .
 
  Let us know if this is helpful.
 
  All the best, Liam
 
  Liam J. Revell, Assistant Professor of Biology
  University of Massachusetts Boston
  web: http://faculty.umb.edu/liam.revell/
  email: liam.rev...@umb.edu
  blog: http://blog.phytools.org
 
 
  On 4/18/2015 1:15 PM, Sergio Ferreira Cardoso wrote:
 
  Dear all,
 
  I'm performing PGLS's with an ultrametric phylogenetic tree (divergence
  time as branchlengths). I tied Pagel's Lambda transformation, OU
  transformation, regular GLS and OLS, to compare results. There is one
  problem: the residuals of my analyses are not normal. I tried to remove
  big
  outliers but it made things even worse, because without them there are
  even
  more outliers.
 
  So, what should I do? The results are consistent in both 4 tests. But
 can
  I
  trust the results of the PGLS? Is it particularly bad if PGLS residuals
  aren't normal? Does it critically afect my results?
 
  Thanks in advance.
 
  Best regards,
  Sérgio.
 
 


 --
 Com os melhores cumprimentos,
 Sérgio Ferreira Cardoso.

 

 Best regards,
 Sérgio Ferreira Cardoso




 MSc. Paleontology candidate
 Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
 Geociências - Universidade de Évora

 Lisboa, Portugal

 [[alternative HTML version deleted]]

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 http://www.mail-archive.com/r-sig-phylo@r-project.org/




-- 
Com os melhores cumprimentos,
Sérgio Ferreira Cardoso.



Best regards,
Sérgio Ferreira Cardoso




MSc. Paleontology candidate
Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
Geociências - Universidade de Évora

Lisboa, Portugal


tree_birds
Description: Binary data
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Re: [R-sig-phylo] PGLS transformations

2015-04-14 Thread Sergio Ferreira Cardoso
Thank you Liam. I'll check it now.

Best regards,
Sérgio.

2015-04-14 18:27 GMT+01:00 Liam J. Revell liam.rev...@umb.edu:

 Hi Sergio.

 Yesterday you asked if it would be reasonable to use the tree with branch
 lengths simulated assuming a Yule process if the topology is known in
 phylogenetic regression. I wondered what would happen if, for a given tree
 topology, we simulated a set of trees with branches as if the tree arose
 under a Yule process, and then fit our regression model to each tree. We
 could then add the variance among fitted regression slopes to the mean
 variance of each slope to get the total variance, from which we could test
 a hypothesis that (for instance) the slope is not different from zero.

 Well, I tried this (details here: http://blog.phytools.org/2015/
 04/phylogenetic-regression-when-branch.html), and, assuming I have done
 so correctly, it seems as though the approach is too conservative - leading
 to low power and a type I error rate lower than the nominal level. Using
 arbitrary branch lengths (all branch lengths equal to 1.0, Grafen's branch
 lengths) results in elevated type I error, but not incredibly badly
 inflated type I error.

 I thought you  other R-sig-phylo readers might be interested in this
 result (newly obtained), or could correct it if I have done something wrong.

 All the best, Liam

 Liam J. Revell, Assistant Professor of Biology
 University of Massachusetts Boston
 web: http://faculty.umb.edu/liam.revell/
 email: liam.rev...@umb.edu
 blog: http://blog.phytools.org

 On 4/13/2015 2:20 PM, Liam J. Revell wrote:

 I wouldn't go as far as to call it a suggestion - but this is one thing
 that you could do.

 All the best, Liam

 Liam J. Revell, Assistant Professor of Biology
 University of Massachusetts Boston
 web: http://faculty.umb.edu/liam.revell/
 email: liam.rev...@umb.edu
 blog: http://blog.phytools.org

 On 4/13/2015 2:04 PM, Sergio Ferreira Cardoso wrote:

 Hello,

 So what you're suggesting is that I do that and then
 fit-gls(X~Y,corr=corBrownian(1,t.pb),data=df,method=ML, right?

 Thanks.

 Best regards,
 Sérgio.
 ᐧ

 2015-04-13 18:42 GMT+01:00 Liam J. Revell liam.rev...@umb.edu
 mailto:liam.rev...@umb.edu:

 Hi all.

 I just wanted to add that it should be straightforward to sample
 edge lengths as if they arose under a specific process. For
 instance, here on my blog I show how to sample branching times 
 edge lengths as if they arose under a pure-birth (i.e., 'Yule')
 process, given a particular input topology:

 http://blog.phytools.org/2015/__04/sampling-edge-lengths-__
 under-yule-process.html


 http://blog.phytools.org/2015/04/sampling-edge-lengths-
 under-yule-process.html.

 For things like the phylogenetic (contrasts) regression, this may be
 preferable to Grafen's edge lengths, which tend to make recent edge
 lengths very short, giving very high weight to the associated
 contrasts.

 All the best, Liam

 Liam J. Revell, Assistant Professor of Biology
 University of Massachusetts Boston
 web: http://faculty.umb.edu/liam.__revell/
 http://faculty.umb.edu/liam.revell/
 email: liam.rev...@umb.edu mailto:liam.rev...@umb.edu
 blog: http://blog.phytools.org


 On 4/13/2015 1:13 PM, Sergio Ferreira Cardoso wrote:

 Hello,

 Thank you both for the help.
 Emmanuel, so is there a way to see contrasts in R? Reading this
 paper
 - Garland, T., Harvey, P. H.,  Ives, A. R. (1992). Procedures
 for the
 analysis of comparative data using phylogenetically independent
 contrasts.
 Systematic Biology, 41(1), 18-32. - I was aware of the
 importance of
 standardizing contrasts and of comparing Absolute value of
 standard contrat
 vs Standard deviation of contrast. I've learned to do this in
 Mesquite but
 I don't know if R alows this to be done. When I run the GLS I
 ask R to
 estimate the rho, so, a priori I never know the rho value.

 Maybe I'm really really confused, but here is the reason why I
 tthink
 something isn't right with my analysis: I built a phylogenetic
 tree in
 Mesquite, and based on several works I used million years as
 branch
 lengths. It makes sense for me because I'll be using a fossil
 on my
 analysis. But I tested the tree before adding the extinct taxa,
 so to make
 sure everything was OK when the tree was ultrametric. I noticed
 that, for
 example, whatever the independent variable (X) was, the alpha
 from OU was
 extremely high (0.999182, for instance). It would always be
 0.999. I
 thought maybe I was using the wrong transformation... That's why
 I ended up
 trying to know if I needed to do something prior to
 transforming and
 analysing the tree.

 Thank you very much.

 Best regards

Re: [R-sig-phylo] PGLS transformations

2015-04-14 Thread Sergio Ferreira Cardoso
Than you all.


Best regards,
Sérgio.
ᐧ

2015-04-13 22:02 GMT+01:00 Emmanuel Paradis emmanuel.para...@ird.fr:

 Le 13/04/2015 19:13, Sergio Ferreira Cardoso a écrit :

 Hello,

 Thank you both for the help.
 Emmanuel, so is there a way to see contrasts in R?


 Yes! The function pic() has been in ape since its first release (ver. 0.1
 in Aug 2002), and there is an option to output the contrasts scaled or not.

 best,

 Emmanuel

  Reading this paper
 - Garland, T., Harvey, P. H.,  Ives, A. R. (1992). Procedures for the
 analysis of comparative data using phylogenetically independent
 contrasts. Systematic Biology, 41(1), 18-32.  - I was aware of the
 importance of standardizing contrasts and of comparing Absolute value of
 standard contrat vs Standard deviation of contrast.  I've learned to do
 this in Mesquite but I don't know if R alows this to be done.  When I run
 the GLS I ask R to estimate the rho, so, a priori I never know the rho
 value.

 

 Maybe I'm really really confused, but here is the reason why I tthink
 something isn't right with my analysis: I built a phylogenetic tree in
 Mesquite, and based on several works I used million years as branch
 lengths. It makes sense for me because I'll be using a fossil on my
 analysis. But I tested the tree before adding the extinct taxa, so to
 make sure everything was OK when the tree was ultrametric. I noticed
 that, for example, whatever the independent variable (X) was, the alpha
 from OU was extremely high (0.999182, for instance). It would always be
 0.999. I thought maybe I was using the wrong transformation... That's
 why I ended up trying to know if I needed to do something prior to
 transforming and analysing the tree.

 Thank you very much.

 Best regards,
 Sérgio.
 ᐧ

 2015-04-13 17:17 GMT+01:00 Emmanuel Paradis emmanuel.para...@ird.fr
 mailto:emmanuel.para...@ird.fr:

 Hi Sérgio,

 There is indeed generally a relationship between branch length
 transformations and correlation structures. You may check that with
 the function vcv2phylo, e.g.:

   tr - rcoal(20)
   co - corGrafen(1, phy = tr)
   ts - vcv2phylo(vcv(co))
   all.equal(tr, ts)
 [1] FALSE
   all.equal(compute.brlen(tr), ts)
 [1] TRUE

 compute.brlen() transforms the branch lengths according to Grafen's
 model with parameter rho = 1 (by default). Some other
 transformations of branch lengths are available in package geiger.

 Best,

 Emmanuel

 Le 12/04/2015 21:47, Sergio Ferreira Cardoso a écrit :

 Hi everyone,

 I'm relatively new in phylogenetic comparative methods. I'm a
 little
 confused about branch length transformations. I'm using a tree
 with
 divergence time (My) as branch lengths. When I use corPagel,
 corGrafen or
 corMartins in R, the branch lengths, are the branch lengths
 automatically
 transformed? e.g., gr.mammals-corGrafen(1,phylo,__fixed=F);
 fit-gls(FCL~logBodymass,__correlation=gr.mammals,data=__
 df,method=ML).
 My question may sound a bit nonsense but I've seen in some
 papers (e.g., Spoor,
 F., Garland, T., Krovitz, G., Ryan, T. M., Silcox, M. T., 
 Walker, A.
 (2007). The primate semicircular canal system and locomotion.
 *Proceedings
 of the National Academy of Sciences*, *104*(26), 10808-10812.)
 the
 indication that a PGLS was made without branch transformation,
 but no
 reference is made to the model (maybe it's corBrownian).

 Thank you very much.

 Best regards,
 Sérgio.





 --
 Com os melhores cumprimentos,
 Sérgio Ferreira Cardoso.

 

 Best regards,
 Sérgio Ferreira Cardoso




 MSc. Paleontology candidate
 Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
 Geociências - Universidade de Évora

 Lisboa, Portugal





-- 
Com os melhores cumprimentos,
Sérgio Ferreira Cardoso.



Best regards,
Sérgio Ferreira Cardoso




MSc. Paleontology candidate
Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
Geociências - Universidade de Évora

Lisboa, Portugal

[[alternative HTML version deleted]]

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Re: [R-sig-phylo] PGLS transformations

2015-04-13 Thread Sergio Ferreira Cardoso
Hello,

So what you're suggesting is that I do that and then
fit-gls(X~Y,corr=corBrownian(1,t.pb),data=df,method=ML, right?

Thanks.

Best regards,
Sérgio.
ᐧ

2015-04-13 18:42 GMT+01:00 Liam J. Revell liam.rev...@umb.edu:

 Hi all.

 I just wanted to add that it should be straightforward to sample edge
 lengths as if they arose under a specific process. For instance, here on my
 blog I show how to sample branching times  edge lengths as if they arose
 under a pure-birth (i.e., 'Yule') process, given a particular input
 topology: http://blog.phytools.org/2015/04/sampling-edge-lengths-
 under-yule-process.html. For things like the phylogenetic (contrasts)
 regression, this may be preferable to Grafen's edge lengths, which tend to
 make recent edge lengths very short, giving very high weight to the
 associated contrasts.

 All the best, Liam

 Liam J. Revell, Assistant Professor of Biology
 University of Massachusetts Boston
 web: http://faculty.umb.edu/liam.revell/
 email: liam.rev...@umb.edu
 blog: http://blog.phytools.org


 On 4/13/2015 1:13 PM, Sergio Ferreira Cardoso wrote:

 Hello,

 Thank you both for the help.
 Emmanuel, so is there a way to see contrasts in R? Reading this paper
 - Garland, T., Harvey, P. H.,  Ives, A. R. (1992). Procedures for the
 analysis of comparative data using phylogenetically independent contrasts.
 Systematic Biology, 41(1), 18-32. - I was aware of the importance of
 standardizing contrasts and of comparing Absolute value of standard
 contrat
 vs Standard deviation of contrast. I've learned to do this in Mesquite but
 I don't know if R alows this to be done. When I run the GLS I ask R to
 estimate the rho, so, a priori I never know the rho value.

 Maybe I'm really really confused, but here is the reason why I tthink
 something isn't right with my analysis: I built a phylogenetic tree in
 Mesquite, and based on several works I used million years as branch
 lengths. It makes sense for me because I'll be using a fossil on my
 analysis. But I tested the tree before adding the extinct taxa, so to make
 sure everything was OK when the tree was ultrametric. I noticed that, for
 example, whatever the independent variable (X) was, the alpha from OU was
 extremely high (0.999182, for instance). It would always be 0.999. I
 thought maybe I was using the wrong transformation... That's why I ended
 up
 trying to know if I needed to do something prior to transforming and
 analysing the tree.

 Thank you very much.

 Best regards,
 Sérgio.
 ᐧ

 2015-04-13 17:17 GMT+01:00 Emmanuel Paradis emmanuel.para...@ird.fr:

  Hi Sérgio,

 There is indeed generally a relationship between branch length
 transformations and correlation structures. You may check that with the
 function vcv2phylo, e.g.:

  tr - rcoal(20)
 co - corGrafen(1, phy = tr)
 ts - vcv2phylo(vcv(co))
 all.equal(tr, ts)

 [1] FALSE

 all.equal(compute.brlen(tr), ts)

 [1] TRUE

 compute.brlen() transforms the branch lengths according to Grafen's model
 with parameter rho = 1 (by default). Some other transformations of branch
 lengths are available in package geiger.

 Best,

 Emmanuel

 Le 12/04/2015 21:47, Sergio Ferreira Cardoso a écrit :

  Hi everyone,

 I'm relatively new in phylogenetic comparative methods. I'm a little
 confused about branch length transformations. I'm using a tree with
 divergence time (My) as branch lengths. When I use corPagel, corGrafen
 or
 corMartins in R, the branch lengths, are the branch lengths
 automatically
 transformed? e.g., gr.mammals-corGrafen(1,phylo,fixed=F);
 fit-gls(FCL~logBodymass,correlation=gr.mammals,data=df,method=ML).
 My question may sound a bit nonsense but I've seen in some papers (e.g.,
 Spoor,
 F., Garland, T., Krovitz, G., Ryan, T. M., Silcox, M. T.,  Walker, A.
 (2007). The primate semicircular canal system and locomotion.
 *Proceedings
 of the National Academy of Sciences*, *104*(26), 10808-10812.)  the
 indication that a PGLS was made without branch transformation, but no
 reference is made to the model (maybe it's corBrownian).

 Thank you very much.

 Best regards,
 Sérgio.








-- 
Com os melhores cumprimentos,
Sérgio Ferreira Cardoso.



Best regards,
Sérgio Ferreira Cardoso




MSc. Paleontology candidate
Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
Geociências - Universidade de Évora

Lisboa, Portugal

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[R-sig-phylo] PGLS transformations

2015-04-12 Thread Sergio Ferreira Cardoso
Hi everyone,

I'm relatively new in phylogenetic comparative methods. I'm a little
confused about branch length transformations. I'm using a tree with
divergence time (My) as branch lengths. When I use corPagel, corGrafen or
corMartins in R, the branch lengths, are the branch lengths automatically
transformed? e.g., gr.mammals-corGrafen(1,phylo,fixed=F);
fit-gls(FCL~logBodymass,correlation=gr.mammals,data=df,method=ML).
My question may sound a bit nonsense but I've seen in some papers (e.g., Spoor,
F., Garland, T., Krovitz, G., Ryan, T. M., Silcox, M. T.,  Walker, A.
(2007). The primate semicircular canal system and locomotion. *Proceedings
of the National Academy of Sciences*, *104*(26), 10808-10812.)  the
indication that a PGLS was made without branch transformation, but no
reference is made to the model (maybe it's corBrownian).

Thank you very much.

Best regards,
Sérgio.

-- 
Com os melhores cumprimentos,
Sérgio Ferreira Cardoso.



Best regards,
Sérgio Ferreira Cardoso




MSc. Paleontology candidate
Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
Geociências - Universidade de Évora

Lisboa, Portugal

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[R-sig-phylo] PGLS - branch lengths 1

2015-04-12 Thread Sergio Ferreira Cardoso
Dear all,

I'm trying to perform a PGLS with arbitrary branch lengths (I used branch
lengths = 1). The tree is non-ultrametric. Here is a result with Pagel's
Lambda:
vf-diag(vcv(tree))
fit-gls(FCLrelative~LogBodymass,correlation=Pagel,data=DF,method=ML,weights=varFixed(-vf))
summary(fit)
Model: FCLrelative ~ LogBodymass
  Data: DF
   AIC  BIClogLik
  42.28777 49.77257 -17.14388

Correlation Structure: corPagel
 Formula: ~1
 Parameter estimate(s):
  lambda
1.039835
Variance function:
 Structure: fixed weights
 Formula: ~vf

Coefficients:
   Value   Std.Errort-value
  p-value
(Intercept)-0.17662926   0.26166738   -0.6750144
0.5030
LogBodymass  0.058657370.057661711.0172672 0.3143

 Correlation:
(Intr)
LogBodymass -0.651

Standardized residuals:
Min  Q1 Med  Q3 Max
-2.36346640 -0.21848447  0.08326376  0.46156642  1.15440168

Residual standard error: 0.2388999
Degrees of freedom: 48 total; 46 residual

As you see my lambda is 1, what shouldn't happen. Is this normal when we
set all branch lengths to an arbitrary value?

Thank you very much in advance.


Best regards,
Sérgio.

-- 
Com os melhores cumprimentos,
Sérgio Ferreira Cardoso.



Best regards,
Sérgio Ferreira Cardoso




MSc. Paleontology candidate
Departamento de Ciências da Terra - FCT /Universidade Nova de Lisboa
Geociências - Universidade de Évora

Lisboa, Portugal

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