Re: [R-sig-phylo] Iterating though multiple FASTA files via rbind.DNAbin

2020-03-13 Thread Gustavo
Hi Jarrett,

This has been working for me using the package ‘apex':

x <- read.multiFASTA(files) # creates a multiDNA object
genes <- x@dna[] # creates a list with your loci.

I hope this helps.

Best
Gustavo

Em qui., 12 de mar. de 2020 às 11:18, Jarrett Phillips <
phillipsjarre...@gmail.com> escreveu:

> Hi All,
>
> I have a folder with multiple FASTA files which need to be read into R.
>
> To avoid file overwriting, I use ape::rbind.DNAbin() as follows:
>
> file.names <- list.files(path = envr$filepath, pattern = ".fas")
>   tmp <- matrix()
>   for (i in 1:length(file.names)) {
> seqs <- read.dna(file = file.names[i], format = "fasta")
> seqs <- rbind.DNAbin(tmp, seqs)
>   }
>
> When run however, I get an error saying that the files do not have the same
> number of columns (i.e., alignments are all not of the same length).
>
> How can I avoid this error. I feel that it's a basic fix, but one that is
> not immediately obvious to me.
>
> Thanks!
>
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>
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-- 
*Gustavo Silva de Miranda*
Peter Buck Postdoctoral Fellow - GGI <https://ggi.si.edu/>
Department of Entomology
National Museum of Natural History
Smithsonian Institution
Personal website <http://gustavomiranda.weebly.com/> | Google Scholar
<https://scholar.google.com.br/citations?user=dXEGc40J=en> |
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<https://publons.com/a/637460/> | Curriculum Lattes
<http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4270248D7> (PT)
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[R-sig-phylo] ape matrix manipulation

2009-09-27 Thread Gustavo Ybazeta
Hello,

I am working with a more less a big phylogeny (over 100 taxa). I had used 
drop.tips to analyze some clades independently and produce sub-trees. My 
question is: how can I use the information in the modified trees to drop the 
same taxa in the original DNA matrix? I have been doing this outside of R but 
I am sure should be a better way to do this. 

Thanks

Gustavo

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[R-sig-phylo] Fitzpatrick and Turelli 2006 - phylogenetic signal in range overlap

2011-04-07 Thread Gustavo A. Bravo

Hello everyone,

By any chance, has anybody tried putting together an R code to perform 
the analyses of range overlap in a phylogenetic context proposed by 
Fitzpatrick and Turelli 2006? It is a nice way to incorporate 
measurements of pair-wise similarity into a phylogenetic context. Warren 
et al, 2008 have used it specifically to analyse phylogenetic patterns 
of niche overlap as a function of divergence time.


I would be very interesting to find out more details about such code. 
Also, details about any other approach out there would be highly 
appreciated.


Thanks a lot in advance.

Gustavo Bravo
LSU Museum of Natural Science

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Re: [R-sig-phylo] Fitzpatrick and Turelli 2006 - phylogenetic signal in range overlap

2011-04-07 Thread Gustavo A. Bravo
Rob,

Excellent! Thank you so much for the hint.

Cheers,

Gustavo

On 4/7/11 8:15 PM, Rob Lanfear wrote:
 Hi Gustavo,

 This is implemented in the package phyloclim, and the function is 
 age.range.correlation(). Here's the description from the help file:

 This function can be used to test for phylogenetic signal in patterns 
 of niche overlap (Warren et al., 2008) based on the age-range 
 correlation (ARC) as implemented by Turelli  Fitzpatrick (2006).

 Cheers,

 Rob

 On 8 April 2011 02:03, Gustavo A. Bravo gbra...@tigers.lsu.edu 
 mailto:gbra...@tigers.lsu.edu wrote:

 Hello everyone,

 By any chance, has anybody tried putting together an R code to
 perform the analyses of range overlap in a phylogenetic context
 proposed by Fitzpatrick and Turelli 2006? It is a nice way to
 incorporate measurements of pair-wise similarity into a
 phylogenetic context. Warren et al, 2008 have used it specifically
 to analyse phylogenetic patterns of niche overlap as a function of
 divergence time.

 I would be very interesting to find out more details about such
 code. Also, details about any other approach out there would be
 highly appreciated.

 Thanks a lot in advance.

 Gustavo Bravo
 LSU Museum of Natural Science

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 -- 
 Rob Lanfear
 Postdoc,
 Centre for Macroevolution and Macroecology,
 Research School of Biology,
 Australian National University

 Tel: +61 2 6125 7270
 www.robertlanfear.com http://www.robertlanfear.com


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[R-sig-phylo] Phylogenetic Regression in R (Grafen method)

2013-12-03 Thread Gustavo Paterno
Hello,

I`m analysing data for 300 anuran species.
I want to run an ANCOVA using phylogenetic regression method (Grafen, 1989).

Does any one know about a function or script to do it?

Thanks,
Gustavo Paterno

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Re: [R-sig-phylo] Phylogenetic Regression in R (Grafen method)

2013-12-04 Thread Gustavo Paterno
Dear all, 
Thank you very much  for your fast reply.

I think i need to explain in more details, sorry about that.

My data:
(FD) - response variable (continous)
Male size (CRC) - explanatory variable (continuos)
habitat (HA) - explanatory variable (categorical)

my model:
FD ~ CRC*HA

I`m using Pyron (2011) phylogeny, so i dont have any politomy in my data.

I did the pgls model with lambda=“ML, but i would like to now if any one know 
about the Grafen (1989) method in r.

Plus, how should i display my data in a graph? The original data does not 
represent pgls analysis. However, in the way I understand, pgls does not give 
you contrasts, is that right?

Thanks again,
Gustavo Paterno




I`m using Pyron phlogeny, so i dono have any politomy in my data estrutur

On Dec 3, 2013, at 1:20 PM, Gustavo Paterno paterno...@gmail.com wrote:

 Hello,
 
 I`m analysing data for 300 anuran species.
 I want to run an ANCOVA using phylogenetic regression method (Grafen, 1989).
 
 Does any one know about a function or script to do it?
 
 Thanks,
 Gustavo Paterno

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[R-sig-phylo] Phylogenetic regression available in R (Grafen, 1989)

2014-03-05 Thread Gustavo Paterno
Hello all,

I just got the confirmation that the Grafen method for phylogenetic regression 
(Grafen, 1989) was implemented in R !
The package “phyreg” has lots of details in help.

Best wishes for all.
Gustavo Paterno
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Re: [R-sig-phylo] Phylogenetic regression available in R (Grafen, 1989)

2014-03-07 Thread Gustavo Paterno
Hi Emmanuel,

thanks for information.

I really think it might be possible to obtain very similar results with both 
packages (ape - phyreg)
However, I`m not sure that the math is the same. 

It uses branch lengths to account for recog- nised phylogeny (which makes the 
errors of more closely related species more similar), and the single contrast 
approach to account for unrecognised phylogeny (that a polytomy usually 
represents ignorance about which exact binary tree is true, and so one higher 
node should contribute only one degree of freedom to the test). One dimension 
of flexibility in the branch lengths is fitted auto- matically. It incorporates 
independent contrasts and phylogenetic generalised least squares of current 
theory
 If one want to run a phylogenetic regression sensu (Grafen, 1989) i think its 
better to use phyreg package, since it was exclusivley design for this purpose, 
plus the regression output can be fully acessed with the funcion inf( your 
model). This function will give you information about DF lost, F-test, 
residuals and other stuff.

This is a explantaion of degree of fredom calculation in phyreg:

On some occasions, degrees of freedom are lost for phylogenetic reasons 
(Grafen 1989, section 3(e)). A whole node may be lost to the final test if the 
residuals of its daughter nodes are all zero in the long regression. This can 
happen for various reasons, most often when (i) the response is in fact binary, 
and so there is no variation in it below a node, or (ii) a categorical variable 
has so many values restricted to one part of the tree that a subset of its 
parameter values can adjust to render all the residuals zero in that part of 
the tree. That is called a node being lost in the denominator. The other 
possibility is that once the contrasts have been taken across each higher node, 
the design matrix for the model has lower rank than it did before, which is 
called losing a degree of freedom in the numerator (it is transferred to the 
denominator) 

Best wishes,
Gustavo Paterno

On Mar 7, 2014, at 6:06 AM, Emmanuel Paradis emmanuel.para...@ird.fr wrote:

 Hi Gustavo,
 
 Grafen's method is partially implemented in ape. The function corGrafen
 defines a correlation structure according to Grafen's method (see ?corClasses 
 for all corStruct defined in ape). When used with nlme::gls this makes 
 possible to estimate the parameter of the branch length transformation. There 
 is no correction of the number of degrees of freedom in ape. So I guess that 
 the results from ape::corGrafen and phyreg should be the same if the 
 phylogeny is assumed to be known without error.
 
 Best,
 
 Emmanuel
 
 Le 05/03/2014 14:30, Gustavo Paterno a écrit :
 Hello Xavier,
 Thanks for your answer.
 
 I also might be wrong, but as far as I know, Ape has the function - 
 compute.brlen which can calculate branch lengths throght Grafen method but 
 can not do phylogenetic regression sensu (Grafen, 1989).
 Grafen method uses a different approach to control phylogeny (hanging on a 
 Tree”, see paper for details).
 PGLS uses a covariance matriz to correct for phylogeny, so your degree of 
 fredon remains the same.
 In Grafen method you can lose degree of freedom depending on your species 
 relatedness.
 
 In the other hand, Brunch and crunch functions can not deal with complex 
 models (eg. with continuous and categorigal variables together as 
 explanatory variables) while Grafen method can deal complex models and also 
 work if you do not know your full phylogeny (when if you have politomies)
 
 Grafen method was only available in GLIM and SAS until feb 2014. In the way 
 I see, his new package for R is the only one that can really run his full 
 method - phylogenetic regression.
 
 Any one has more information about it?
 
 Best wishes,
 On Mar 5, 2014, at 10:04 AM, Xavier Prudent prudentxav...@gmail.com wrote:
 
 Hi Gustavo,
 Thanks for that notification,
 I may be wrong, but was'nt that method already implemented in the CAPER 
 package by David Orme (function pgls, brunch, crunch)?
 If yes, then which new functionalities does phyreg bring?
 Regards,
 Xavier
 
 
 2014-03-05 13:46 GMT+01:00 Gustavo Paterno aspessoasmu...@gmail.com:
 Hello all,
 
 I just got the confirmation that the Grafen method for phylogenetic 
 regression (Grafen, 1989) was implemented in R !
 The package “phyreg” has lots of details in help.
 
 Best wishes for all.
 Gustavo Paterno
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 --
 ---
 Xavier Prudent
 
 Computational biology and evolutionary genomics
 
 Guest scientist at the Max-Planck-Institut für Physik komplexer Systeme
 (MPI-PKS)
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 01187 Dresden
 
 Max Planck-Institute for Molecular Cell Biology and Genetics
 (MPI-CBG

Re: [R-sig-phylo] Installing diversitree on OS X Mavericks, R 3.1.0

2014-05-27 Thread Gustavo Burin Ferreira
Dear John and list,

I have tried to use your tutorial, but without success. I am getting the
following error:

ld: library not found for -lquadmath
clang: error: linker command failed with exit code 1 (use -v to see
invocation)
make: *** [diversitree.so] Error 1
ERROR: compilation failed for package ‘diversitree’
* removing
‘/Library/Frameworks/R.framework/Versions/3.1/Resources/library/diversitree’

I am not sure if it has any relation to the error, but after installing for
the first time, when I try to run

brew install gsl gcc fftw

to check if the installation is there, I get the following error

Warning: gsl-1.16 already installed, it's just not linked
Warning: gcc-4.8.3 already installed, it's just not linked
Warning: fftw-3.3.4 already installed, it's just not linked

Also, when I run

gfortran --version

I get

GNU Fortran (GCC) 4.8.2

I am having a really hard time installing diversitree on Mavericks. I hope
there is a workaround or anything like that.

Please let me know if you need any other information.

Thank you all very much in advance for any help.

Regards,

Gustavo Burin Ferreira, Msc.
Instituto de Biociências
Universidade de São Paulo

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Re: [R-sig-phylo] Installing diversitree on OS X Mavericks, R 3.1.0

2014-05-27 Thread Gustavo Burin Ferreira
Dear Jonathan,

the last solution worked perfectly! Thank you very very much!

Best,

*Gustavo Burin Ferreira, **Msc.*
Instituto de Biociências
Universidade de São Paulo
Tel: (11) 98525-8948


On Tue, May 27, 2014 at 6:30 PM, Jonathan Chang jonathan.ch...@ucla.eduwrote:

 Actually I suppose the recommended course of action would be to just
 use the Snow Leopard version, which will probably work fine on
 Mavericks (and diversitree will have a pre-built binary from the R
 developers). First uninstall your current version of R with `sudo rm
 -rf /Library/Frameworks/R.framework/` then install this version:
 http://cran.rstudio.com/bin/macosx/R-3.1.0-snowleopard.pkg

 Jonathan

 On Tue, May 27, 2014 at 2:21 PM, Jonathan Chang jonathan.ch...@ucla.edu
 wrote:
  It looks like there's an issue with your install of Homebrew, since
  installing those packages should also link them into the proper
  directories. Try
 
  brew unlink gsl gcc fftw
  brew link gsl gcc fftw
 
  These should run without error. If you can't link those packages then
  it means you already have a previous non-Homebrew install of these
  software. You can force it with `brew link --overwrite gsl` etc. but
  this will probably lead to a horrifying frankeninstall and cause
  further problems down the road.
 
  The other issue you have is that the gfortran in your PATH reports
  version 4.8.2 but your (unlinked) Homebrew copy is version 4.8.3,
  which is the one that you actually want. Again, this indicates a
  previous non-Homebrew install of gfortran, which will cause software
  installs to fail in exciting and unpredictable ways.
 
  If you are comfortable with reinstalling all of your software from
  scratch I would recommend deleting everything in /usr/local/ to start
  from a blank slate.
 
  Jonathan
 
  On Tue, May 27, 2014 at 1:47 PM, Gustavo Burin Ferreira
  ariete...@gmail.com wrote:
  Dear John and list,
 
  I have tried to use your tutorial, but without success. I am getting the
  following error:
 
  ld: library not found for -lquadmath
  clang: error: linker command failed with exit code 1 (use -v to see
  invocation)
  make: *** [diversitree.so] Error 1
  ERROR: compilation failed for package ‘diversitree’
  * removing
 
 ‘/Library/Frameworks/R.framework/Versions/3.1/Resources/library/diversitree’
 
  I am not sure if it has any relation to the error, but after installing
 for
  the first time, when I try to run
 
  brew install gsl gcc fftw
 
  to check if the installation is there, I get the following error
 
  Warning: gsl-1.16 already installed, it's just not linked
  Warning: gcc-4.8.3 already installed, it's just not linked
  Warning: fftw-3.3.4 already installed, it's just not linked
 
  Also, when I run
 
  gfortran --version
 
  I get
 
  GNU Fortran (GCC) 4.8.2
 
  I am having a really hard time installing diversitree on Mavericks. I
 hope
  there is a workaround or anything like that.
 
  Please let me know if you need any other information.
 
  Thank you all very much in advance for any help.
 
  Regards,
 
  Gustavo Burin Ferreira, Msc.
  Instituto de Biociências
  Universidade de São Paulo


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[R-sig-phylo] Exponential function on make.bd.t

2014-05-29 Thread Gustavo Burin Ferreira
Dear list,

I am trying to create a likelihood function based on trees that were
simulated with an exponential decay on speciation rates through time, and
with constant extinction rates.

I thought I could use make.bd.t from diversitree for this matter. However,
it seems that this function doesn't accept exponential as a valid type of
function (at least as far as I could dig into the code).

Can you advise me on how should I proceed to implement this? I am still
trying to get used to the way diversitree functions are coded, and couldn't
figure this out.

Thanks in advance for any help!

Regards,

*Gustavo Burin Ferreira, **Msc.*
Instituto de Biociências
Universidade de São Paulo
Tel: (11) 98525-8948

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Re: [R-sig-phylo] Exponential function on make.bd.t

2014-05-30 Thread Gustavo Burin Ferreira
Hi Richard,

Thank you very much for the information! I will do my best to do it by
myself, and will let you know if it worked or if I will need some more
help.

Thanks once again for the help!

Cheers,
On May 30, 2014 5:19 AM, Rich FitzJohn rich.fitzj...@gmail.com wrote:

 Hi Gustavo,

 This used to be possible, and you could possibly use an older version of
 diversitree to do what you want to do.  Things changed about a year, I
 think.

 Unfortunately, integrating time-varying functions efficiently is quite
 hard when parameters vary as arbitrary R functions.  I've never been very
 happy with the hacks and trade-offs to get that working (the issue is that
 the ODE integrators are all written in C and calling R functions from C
 incurs significant overhead over the usual R function calls plus you get no
 vectorisation advantages).

 I decided to weight the speed/flexibility trade-off in favour of speed and
 settled on a simpler (and much faster) approach where there are a few
 pre-built options that match some simple cases:
   https://github.com/richfitz/diversitree/blob/master/src/TimeMachine.cpp

 If you need something extra, just add it in there (and in TimeMachine.h),
 just modifying the general approach in (say) tm_fun_linear.  You'll need to
 match the prototypes exactly, but you can pass in as many parameters as you
 need.  Then add your function to the list in R/time-machine.R:

 https://github.com/richfitz/diversitree/blob/master/R/time-machine.R#L45-L49
 which will organise parameter names and things like that.  Then you just
 reference the function by the name there and everything should work.

 Once that's done, send me a pull request on github and I can incorporate
 it into the package.  The functions that are currently there are just the
 first things that seem reasonable and are obviously not a complete list.

 I'm not actively working on diversitree at the moment, or I'd do this for
 you.  But if you get into trouble let me know and I'll see if I can get it
 going.

 Cheers,
 Rich



 On 30 May 2014 05:10, Gustavo Burin Ferreira ariete...@gmail.com wrote:

 Dear list,

 I am trying to create a likelihood function based on trees that were
 simulated with an exponential decay on speciation rates through time, and
 with constant extinction rates.

 I thought I could use make.bd.t from diversitree for this matter. However,
 it seems that this function doesn't accept exponential as a valid type of
 function (at least as far as I could dig into the code).

 Can you advise me on how should I proceed to implement this? I am still
 trying to get used to the way diversitree functions are coded, and
 couldn't
 figure this out.

 Thanks in advance for any help!

 Regards,

 *Gustavo Burin Ferreira, **Msc.*
 Instituto de Biociências
 Universidade de São Paulo
 Tel: (11) 98525-8948

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Re: [R-sig-phylo] dist.nodes crashing with big trees

2015-10-20 Thread Gustavo Burin Ferreira
Hey David and Nick,

thanks a lot for the quick responses! I think I wasn't very clear in the
first e-mail. What I get is actually an error from within dist.nodes, not
when calling it.

I've tried to use chainsaw2 and in the beginning it appeared to be working
quite well. However after some running time, I get the same (original)
error that motivated me writing to the list:


> *Error in double(nm * nm) : vector size cannot be NA*
> *In addition: Warning message:**In nm * nm : NAs produced by integer
> overflow*


Digging into the functions called within chainsaw2, I found that at some
point it uses the function get_max_height_tree, that calls dist.nodes and
that's where I think the problem lies. The error I got now is almost
exactly the same as I got from timeSliceTree (because both cases use
dist.nodes):


> *dist.nodes*
> *function (x) *
> *{*
> *x <- reorder(x)*
> *n <- Ntip(x)*
> *m <- x$Nnode*
> *nm <- n + m*
> *d <- .C(dist_nodes, as.integer(n), as.integer(m),
> as.integer(x$edge[, *
> *1] - 1L), as.integer(x$edge[, 2] - 1L),
> as.double(x$edge.length), *
> *as.integer(Nedge(x)), double(nm * nm), NAOK = TRUE)[[7]]*
> *dim(d) <- c(nm, nm)*
> *dimnames(d) <- list(1:nm, 1:nm)*
> *d**}*


I tried changing the highlighted part to something like
double(as.numeric(nm) * as.numeric(nm)), and when I try running it, I get
the error I wrote on the first e-mail:


> *Error in dist.nodes(tree) (from #7) : **  long vectors (argument 7) are
> not supported in .Fortran*


Thus, I think that to solve this problem some tweak in the C/Fortran code
that is called within dist.nodes (from ape) might be required, but I have
no expertise on that. So if someone can help me with that, I'll appreciate
it!

Thanks again for the help so far!

Best,


*Gustavo Burin Ferreira, **Msc.*
Instituto de Biociências
Universidade de São Paulo
Tel: (11) 98525-8948

On Fri, Oct 16, 2015 at 5:06 PM, Nick Matzke <mat...@nimbios.org> wrote:

> Hi!  I re-did chainsaw at some point, now there is chainsaw2.  However,
> googling that gets you horror movies, so here is a link with example code:
>
> https://groups.google.com/d/msg/biogeobears/Jy9uYckOL7s/XuNZ0B3jAwAJ
>
> (the discussion there points out a rare case where this crashes, but for
> most trees it should work fine)
>
> Cheers, Nick
>
> On Fri, Oct 16, 2015 at 2:17 PM, David Bapst <dwba...@gmail.com> wrote:
>
> > Hi Gustavo,
> >
> > I'm paleotree's author and maintainer. Just to be clear that I
> > understand your problem, I believe you are saying that when you use
> > timeSliceTree, you are getting an error that the internal call to
> > dist.nodes is failing? Is that right?
> >
> > The first thought I have is that maybe the solution here is to avoid
> > dist.nodes, as it is somewhat overkill. I use dist.nodes in that code,
> > which I wrote in 2011, to get the distance of tips and nodes from the
> > root. A better solution may now exist in another R package. I'd have
> > to investigate (although maybe someone on the list can suggest one).
> >
> > The second thought I have is that there might be alternative functions
> > that do something lie timeSliceTree in another R package. Off the top
> > of my head, I recall that Nick Matzke had a similar, 'chainsaw'
> > function, which you can find here and appears not to call dist.nodes:
> >
> > https://stat.ethz.ch/pipermail/r-sig-phylo/2011-July/001483.html
> >
> > Again, maybe someone on the list knows of a good alternative function.
> >
> > I'll try to give this more thought, but for now, maybe see if you can
> > use Nick's function succesfully. Overall though, I've discovered the
> > use of truly gigantic trees can often run into unexpected problems.
> >
> > Cheers,
> > -Dave
> >
> >
> >
> > On Fri, Oct 16, 2015 at 12:47 PM, Gustavo Burin Ferreira
> > <ariete...@gmail.com> wrote:
> > > Dear list,
> > >
> > > I'm trying to perform a time travel in simulated phylogenies with both
> > > extant and extinct species using the timeSliceTree function form the
> > > paleotree package. My aim is to have the molecular phylogenies derived
> > from
> > > the complete phylogeny (attached) in different points in time.
> > >
> > > However, when I try that with big trees (bigger than 2 tips
> total), I
> > > get an error of integer overflow coming from the dist.nodes function.
> > After
> > > slightly tweaking the dist.nodes function (changing nm from integer to
> > > numeric/double), I get the following message:
> > >
> > > Error in dist.nodes(tre