similar to: Rd-file error: non-ASCII input and no declared encoding

Dear list, Does there exist R routines for reading output files from Genepop? (GENEPOP is a population genetics software package by Raymond & Rousset; http://genepop.curtin.edu.au/ ) I find several R packages that contain function for writing Genepop input files, but non that does the reverse. Regards, hans [[alternative HTML version deleted]]

Hello All, Once again thanks for all of the help to date. I am climbing my R learning curve. I've got a few more questions that I hope I can get some guidance on though. I am not sure whether the etiquette is to break up multiple questions or not but I'll keep them together here for now as it may help put the questions in context despite the fact that the post may get a little long.

I'm trying to use the package ARES to produce allelic richness estimates with extrapolation beyond the sample size. I've begun by testing the program with the butterfly_borneo data provided with the package, but I seem to be having a problem with the read.genepop function. Below, I've included my R code along with the error I receive after trying to read the genepop file. I'm

Dear R helpers, I am trying to test for linkage disequilibrium (LD) in R between all pairs of loci. Importantly, my loci are microsatellites and have up to 30 alleles per locus. Do you know of any R packages that can either (1) calculate measures of LD directly or (2) test for the presence of LD within a statistical framework? Every package I have run across seems to be only able to handle

Dear list members, If I install with R-devel r74500 on Windows (sessionInfo below) the attached 'bugdemo' package with the single function foo <- function() { ? named <- c("bar"=TRUE) ? print(named) ? return(named) } then run > bugdemo::foo() [1] TRUE [1] TRUE The "bar" name is lost. It is not lost when I define foo in the R session instead of using

Hello, Can anybody tell me what the format of the input data file should be for this R function? Poor package documentation. Thanks, Matt ******************************************************** Matthew D. MacManes PhD Student UC- Berkeley Department of Integrative Biology Museum of Vertebrate Zoology 3101 VLSB #3140 Berkeley, CA 94720 (510)642-7782 EMAIL: macmanes@berkeley.edu WEBSITE:

>>>>> Martin Maechler <maechler at stat.math.ethz.ch> >>>>> on Tue, 3 Apr 2018 17:03:02 +0200 writes: >>>>> Francois Rousset <francois.rousset at umontpellier.fr> >>>>> on Tue, 3 Apr 2018 16:38:42 +0200 writes: >> Dear list members, >> If I install with R-devel r74500 on Windows (sessionInfo

I do the these passages: library(Geneland) set.seed(1) data <- simdata(nindiv=200, coord.lim=c(0,1,0,1) , number.nuclei=5 , allele.numbers=rep(10,20), IBD=FALSE, npop=2, give.tess.grid=FALSE) geno <- data$genotypes coord <- t(data$coord.indiv) path.mcmc <-

Is there a package that will allow me to fit Brownian motion and Ornstein?Uhlenbeck models of evolution for discrete traits? I know that geiger and ouch have commands for fitting these models for continuous traits, but these aren't suitable for discrete trait evolution, correct? -- View this message in context:

#Hello, #I have three data frames, X,Y and Z with two columns each and different numbers of rows. # creation of data frame X X.alleles <- c(1,5,6,7,8) X.Freq <- c(0.35, 0.15, 0.05 , 0.10, 0.35) Loc1 <- cbind( X.alleles,X.Freq) X <- data.frame(Loc1) #creation of data frame Y Y.alleles <- c(1,4,6,8) Y.Freq <- c(0.35, 0.35, 0.10, 0.20 )

>>>>> Francois Rousset <francois.rousset at umontpellier.fr> >>>>> on Tue, 3 Apr 2018 16:38:42 +0200 writes: > Dear list members, > If I install with R-devel r74500 on Windows (sessionInfo below) the > attached 'bugdemo' package with the single function > foo <- function() { > ? named <-

Hello, I have two data frames, X and Y, with two columns each and different numbers of rows. # creation of data frame X Loc1.alleles <- c(1,5,6,7,8) Loc1.Freq <- c(0.35, 0.15, 0.05, 0.10, 0.35) Loc1 <- cbind( Loc1.alleles,Loc1.Freq) X <- data.frame(Loc1) #creation of data frame Y Loc2.alleles <- c(1,4,6,8) Loc2.Freq <- c(0.35, 0.35,

I have a vector: alleles.present<-c("D3", "D16", ... ) The alleles present changes given the case I'm dealing with - i.e. either all of the alleles I use for my calculations are present, or some of them. Depending on what alleles are present, I need to make matrices and do calculations on those alleles present and completely disregard any formula or other use of the

Hi all, [this is a bit hard to describe, so if my initial description is confusing, please try running my code below] #WHAT I'M TRYING TO DO I'd appreciate any help in trying to speed up some code. I've written a script that converts a matrix of integers (usually between 1-10,000 - these represent allele names) into two new matrices of normally distributed values (representing

Hi people, I have made some progress trying to work out how to solve this problem but I have got a bit stuck - sorry if this turns out to be a simple exercise . . Allelic Differentiation (AD) in genetics measures the number of different alleles between (say) two populations eg: Organisms in Pop 1 have alleles: a, b, c, d, e Organisms in Pop 2 have alleles: b, b, c, d, e Different

Hi all, I have a dataset consisting of 5 columns and over 5000 rows. Each row gives information about an individual animal, including longevity, i.e. at what age an animal died. For the model I use I need to create n rows for each animal, n being its longevity, and a new column 'survival' with a binary 0/1 outcome. When an animal died e.g. at age 5, there have to be 5 rows of identical

Dear R user: I am studying the allele data of two populations. the following is the data: a1 a2 a3 a4 a5 a6 a7 a8 a9 a10 a11 a12 a13 a14 a15 a16 a17 pop1 0.0217 0.0000 0.0109 0.0435 0.0435 0.0000 0.0109 0.0543 0.1739 0.0761 0.1413 0.1522 0.1087 0.0870 0.0435 0.0217 0.0109 pop2 0.0213 0.0213 0.0000 0.0000 0.0000 0.0426 0.1702 0.2128 0.1596 0.1809 0.0957 0.0745 0.0106

Hello, I am new and am having a hard time getting the proper syntax for output from loops. I am working on a simulation to generate a null expectation of bee behavior. Pieces of it work. The part that I am having specific difficulty is in output of a vector from within the while loop that I am using. Basically the simulation works as such: I have a starting point and a neighbor matrix and a

Hi all, When running a prediction using RF on another data, I get two columns returned: row number(?) and predicted class. Is there a way of appending the unique row value from an ID column in the dataframe to the predictions instead of the row number? I'm assuming that the returned results follow the data frame in that the first result returned equals the first entry in the dataframe. i.e.,

Good day, All, Is there any way to maintain the number of decimal places in the type of situation below? I would like to maintain the number of decimal places in 0.667, despite the fact that its column-mates have a fourth decimal place. Thank you for your time. Jim dat.txt contents: MARKER ALLELES FREQ1 RSQR EFFECT2 STDERR CHISQ PVALUE rs6599753 C,T