[R] FW: New package apex 1.0.0 released on CRAN

2015-04-16 Thread Jombart, Thibaut

Dear all,

(apologies for multiple posting)

On behalf of the apex development team (E. Paradis, K. Schliep, Z. Kamvar, R. 
Harris and myself), I am happy to announce that apex has been released on CRAN:
http://cran.r-project.org/web/packages/apex/index.html

This package provides tools for reading, storing, handling and analysing 
genetic sequences from multiple genes, and is compatible with both ape and 
phangorn.

For more information on apex, questions, requests, or to join us, check our 
github project at:
https://github.com/thibautjombart/apex

Best regards
Thibaut

==
Dr Thibaut Jombart
MRC Centre for Outbreak Analysis and Modelling
Department of Infectious Disease Epidemiology
Imperial College - School of Public Health
Norfolk Place, London W2 1PG, UK
Tel. : 0044 (0)20 7594 3658
http://sites.google.com/site/thibautjombart/
http://sites.google.com/site/therepiproject/
http://adegenet.r-forge.r-project.org/
Twitter: @thibautjombart


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[R] FW: r-sig-genetics is alive!

2015-04-08 Thread Jombart, Thibaut

Dear all, 

a small "heads up" for R-sig-genetics, a mailing list devoted to population 
genetics in R. See below, and sorry about the double-posting.

All the best

Thibaut


------
From: Jombart, Thibaut
Sent: 08 April 2015 17:21
To: r-sig-genet...@r-project.org
Subject: r-sig-genetics is alive!

Dear all, 

after a rather quiet existence for the last few years, it may be good to send 
this reminder: r-sig-genetics is alive!

Many awesome people have subscribed lately, and I am looking forward to seeing 
exciting discussions here. Posting guidelines have been freshly updated:
https://stat.ethz.ch/mailman/listinfo/r-sig-genetics

Coming soon: exciting news regarding future releases of a bunch of population 
genetics packages.

All the best

Thibaut
   

==
Dr Thibaut Jombart
MRC Centre for Outbreak Analysis and Modelling
Department of Infectious Disease Epidemiology
Imperial College - School of Public Health
Norfolk Place, London W2 1PG, UK
Tel. : 0044 (0)20 7594 3658
http://sites.google.com/site/thibautjombart/
http://sites.google.com/site/therepiproject/
http://adegenet.r-forge.r-project.org/
Twitter: @thibautjombart

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R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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Re: [R] Geneland error on unix: Error in MCMC(........ :, unused argument(s) (ploidy = 2, genotypes = geno)

2010-05-20 Thread Jombart, Thibaut
Hello,

you may want to contact directly the maintainer of Geneland for that kind of 
issue. In any case, this post would be best suited for R-sig-genetics:
https://stat.ethz.ch/mailman/listinfo/r-sig-genetics

Best regards,

Thibaut

--
##
Dr Thibaut JOMBART
MRC Centre for Outbreak Analysis and Modelling
Department of Infectious Disease Epidemiology
Imperial College - Faculty of Medicine
St Mary’s Campus
Norfolk Place
London W2 1PG
United Kingdom
Tel. : 0044 (0)20 7594 3658
t.jomb...@imperial.ac.uk
http://sites.google.com/site/thibautjombart/
http://adegenet.r-forge.r-project.org/


From: Nevil Amos [nevil.a...@gmail.com]
Sent: 20 May 2010 10:34
To: r-help@r-project.org; Jombart, Thibaut
Subject: Geneland error on unix:  Error in MCMC( :,  unused argument(s) 
(ploidy = 2, genotypes = geno)

I am receiving the above error ( full r session output below)  the
script runs OK in windows.  and "genotypes" and "ploidy" are both
correct arguments

any suggestions would be most welcome

Nevil Amos
MERG/ACB
Monash University School of Biological Sciences







 > library(Geneland)
Loading required package: RandomFields
Loading required package: fields
Loading required package: spam
Package 'spam' is loaded. Spam version 0.21-0 (2010-03-13).
Type demo( spam) for some demos, help( Spam) for an overview
of this package.
Help for individual functions is optained by adding the
suffix '.spam' to the function name, e.g. 'help(chol.spam)'.

Attaching package: 'spam'

The following object(s) are masked from 'package:base':

 backsolve, forwardsolve, norm

  Try help(fields) for an overview of this library
fields web: http://www.image.ucar.edu/Software/Fields
Loading required package: mapproj
Loading required package: maps
Loading required package: snow
Loading required package: tcltk
Loading Tcl/Tk interface ... done
ooo
oGeneland is loaded   o
o o
o* Please *   o
o o
oRegister on  o
ohttp://www2.imm.dtu.dk/~gigu/Geneland/register.php   o
o o
oSee manual ono
ohttp://www2.imm.dtu.dk/~gigu/Geneland/#Manualo
o o
oType citation("Geneland") for a quick citation guide o
o o
oSee http://www2.imm.dtu.dk/~gigu/Geneland/#  o
ofor additional referenceso
o o
oThis is Geneland-3.2.1   o
o o
ooo
Warning message:
In fun(...) : no DISPLAY variable so Tk is not available
 > DIRLIST<-c("Adult_ALL
NO_ANW/")#,"Adult_Or_ANW/","Adult_Females/","Adult_Males/")
 > for(d in DIRLIST){
+ theWd<- paste("/nfs/monash/home/namos/Rwork/",d,sep="")
+ setwd(theWd)
+ SPP.CODES <-"EYR"#c("BT","EYR","FH","SPP","STP")
+ for (sp in  SPP.CODES){
+ path.sp<- paste(theWd,sp,"/",sep="")
+ dir.create(path.sp)
+ GENO.TABLE<-paste(theWd,sp,"geno",sep="")
+ XY.TABLE<-paste(theWd,sp,"xy",sep="")
+ MINPOP=1
+ MAXPOP=25
+ INITPOP=1
+ NITS=50
+ THIN=NITS/1000
+ nrun <- 10
+ burnin <- 200
+ geno<-noquote(read.table(GENO.TABLE))
+ coord<-read.table(XY.TABLE)
+
+ ## Loop for multiple runs
+
+ for(irun in 1:nrun)
+ {
+ ## define path to MCMC directory
+
+ path.mcmc <- paste(path.sp,irun,"/",sep="")
+ dir.create(path.mcmc)
+ MCMC(coordinates=coord, ploidy=2, genotypes=geno, varnpop=T,
npopmax=MAXPOP, npopinit=MINPOP, spatial=T, freq.model="Correlated",
nit=NITS, thinning=500, rate.max=nrow(geno), delta.coord=100,
path.mcmc=path.mcmc)
+ ## MCMC postprocessing
+ PostProcessChain(coordinates=coord,path.mcmc=path.mcmc,genotypes=geno,
nxdom=50,nydom=50,burnin=burnin)
+ }
+ ## Computing average posterior probability
+
+ lpd <- rep(NA,nrun)
+ for(irun in 1:nrun)
+ {
+ path.lpd <- paste(path.mcmc,"log.posterior.density.txt",sep="")
+ lpd[irun] <- mean(scan(path.lpd)[-(1:burnin)])
+ }
+ ## Runs sorted by decreasing average posterior prob

[R] Sweave in PNG: driver online

2010-02-18 Thread Jombart, Thibaut
Dear R addicts, 

Back in 2006, I posted the proposition for a tweak of the Sweave driver so that 
PNG figures can be produced instead of eps/pdf :
https://stat.ethz.ch/pipermail/r-help/2006-March/102122.html

The amount of code modified is tiny (it was designed to induce minimal changes 
to the official code), but so far the driver seems to have been useful to a 
number of users. From 2006 on, successive versions of the code were supposed to 
incorporate the official driver. My current understanding is that this tweak 
won't incorporate the official release, although an alternative approach is 
still supposed to take place eventually. 

Meanwhile, a fairly recent update of the alternative driver can be found online 
from my website:
http://sites.google.com/site/thibautjombart/r-packages

A vignette describes briefly the new features and how the driver can be used.

Best regards,

Thibaut.

-- 
##
Dr Thibaut JOMBART
MRC Centre for Outbreak Analysis and Modelling
Department of Infectious Disease Epidemiology
Imperial College - Faculty of Medicine
St Mary’s Campus
Norfolk Place
London W2 1PG
United Kingdom
Tel. : 0044 (0)20 7594 3658
t.jomb...@imperial.ac.uk
http://sites.google.com/site/thibautjombart/
http://adegenet.r-forge.r-project.org/

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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.


Re: [R] Doubt about CCA and PCA

2009-11-23 Thread Jombart, Thibaut
Dear Francisco, 

CCA and PCA are quite different methods. CCA regresses your 'response' data 
onto a set of explanatory variables. This needs to invert the matrix of 
covariances of the predictors, which is only possible if n>p, where n is the 
number of observations and p the number of explanatory variables.

PCA is defined in any case. The ratio between n and p is then relevant only if 
you intend to infer principal axes / component of the population (as opposed to 
using the PA/PC as mere descriptors of the sample). I would recommend reading :
Joliffe, I. T. Principal Component Analysis Springer, 2004
which tackles the latter point very clearly.

Best regards,

Thibaut.
--
##
Dr Thibaut JOMBART
MRC Centre for Outbreak Analysis and Modelling
Department of Infectious Disease Epidemiology
Imperial College - Faculty of Medicine
St Mary’s Campus
Norfolk Place
London W2 1PG
United Kingdom
Tel. : 0044 (0)20 7594 3658
t.jomb...@imperial.ac.uk
http://www1.imperial.ac.uk/medicine/people/t.jombart/
http://adegenet.r-forge.r-project.org/

From: r-help-boun...@r-project.org [r-help-boun...@r-project.org] On Behalf Of 
Francisco Javier Santos Alamillos [fsan...@ujaen.es]
Sent: 23 November 2009 21:43
To: r-help@r-project.org
Subject: [R] Doubt about CCA and PCA

Dear R community,

I'm working with PCA and CCA methods, and I have a theoretical question.

Why is it necesary to have more temporal values than variables when the CCA
O PCA are going to be used?

Could you advise to me some any paper about it?

Thanks in advance,

[[alternative HTML version deleted]]

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Re: [R] problem whit Geneland

2009-01-13 Thread Jombart, Thibaut J X
David Winsemius wrote:
> help.search did not offer any clues. Using Baron's search page, I got 
> reference to r-help entries from 2004,  but looking at the current 
> documentation , I see no such function. I am wondering if the name of the 
> function was changed in later versions of the package and you are mixing old 
> documentation or examples with a newer installation of that package?
>
> Here is a 2005 version of the package documentation and it does have that 
> function:
> http://phase.hpcc.jp/mirrors/stat/R/CRAN/doc/packages/Geneland.pdf
>
> Perhaps you want the MCMC function?
>
> Description
> Markov Chain Monte-Carlo inference under various models
>
> Usage
> MCMC( coordinates=NULL, genotypes,## ploidy=2, dominance="Codominant",
> allele.numbers,
> path.mcmc, # path to output directory
> # hyper-prior parameters
> rate.max,delta.coord=0,shape1=2,shape2=20, npopmin=1,npopinit,npopmax,
> # dimensions
> nb.nuclei.max,
> # options in mcmc computations
> nit,thinning=1,freq.model="Uncorrelated", varnpop=TRUE, spatial=TRUE, 
> jcf=TRUE, filter.null.alleles=TRUE, prop.update.cell=0.1, 
> write.rate.Poisson.process=FALSE, write.number.nuclei=TRUE, 
> write.number.pop=TRUE, write.coord.nuclei=TRUE, write.color.nuclei=TRUE, 
> write.freq=TRUE, write.ancestral.freq=TRUE, write.drifts=TRUE, 
> write.logposterior=TRUE, write.loglikelihood=TRUE, write.true.coord=TRUE, 
> write.size.pop=FALSE, miss.loc)

Hello,

You might reach a broader range of Geneland users by sending your post to 
R-sig-genetics:
https://stat.ethz.ch/mailman/listinfo/r-sig-genetics

Cheers,

Thibaut.

-- 
##
Dr Thibaut JOMBART
MRC Centre for Outbreak Analysis and Modelling
Department of Infectious Disease Epidemiology
Imperial College - Faculty of Medicine
St Mary’s Campus
Norfolk Place
London W2 1PG
United Kingdom
Tel. : 0044 (0)20 7594 3658
jomb...@biomserv.univ-lyon1.fr
http://biomserv.univ-lyon1.fr/%7Ejombart/
http://adegenet.r-forge.r-project.org/

[[alternative HTML version deleted]]

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