similar to: Multithreading of Geneland

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

I am trying to use the function 'filter.NA=TRUE' in Geneland. The function appears to be set on TRUE by default, as it appears as TRUE in the 'parameter.txt' file output and hence I do not need to enter the function per se (as it is an 'Unused argument otherwise') . Hence all my missing data (individuals that I have not yet scored at that specific loci) are scored as

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 <-

Hello, anybody know the procedure to plot the geneland result in a map? thank you ********************************************************** Vincenzo Landi Post Doctorate student Animal genomic and breeding cell:0039/3395388713 Fax. 075-5857122 [[alternative HTML version deleted]]

Hi , I'm currently trying to make available a few fortran subroutines and R functions (which make interface to these subroutines), as an R package. I'm doing it under linux with R 1.9.0 (but hope to do it for windows too). I have trouble for loading my fortran code. Here are the steps involved : 1) In R: # Create tree for package

I am getting the above warning following loading of Geneland 3.1.5 on unix , while a simple plot sends output to the pdf file ( see attached code) no output results from Geneland functions, resulting in empty pdf files > library (Geneland) Loading required package: RandomFields Loading required package: fields Loading required package: spam Package 'spam' is loaded. Spam version

Hi, I have a package of my own which seems to work fine under linux. I want to make a compiled version for windows. (I work with windows 2000 and R 2.0) I have followed the steps described in the file readme.packages (in the top-level directory of the binary installation) and I had a trouble at this step (which aim is not documented): C:\Program Files\R\rw2000\src\gnuwin32>make libR.a

I am trying to format data for the Geneland package I need to write a series of paired numbers and paired "000" to a plain ascii file without surrounding the numerals with quotes, the original data is in a matrix formatted paired strings, and written to file using write.table(x,"output filename",col.names=F,row.names=F) thus "77 79" "132 132" "000

Hi, ? I am very new to R. So, pardon my dumb question. I was trying to write my own function to run a different model (perform an ordered logistic regression) using the example in website http://pngu.mgh.harvard.edu/~purcell/plink/rfunc.shtml But R returns a error `R Error in eval(expr, envir, enclos) : object 's' not found' when I run it. What am I doing wrong here? Here's

Hi all, Here is my problem: I performed bioassays using a unique insecticide on 9 different genotypes and got their mortality depending on the dose of insecticide used. Now, I want to see wether some genotypes are different or not in their responses to insecticide. My problem is that I have up to four replicates for some genotypes, but only one for other... Due to this unbalanced design, I

Dear all I'm developing a grafical interface for Geneland that is presently one of the R packages available. My first question is about refreshing the interface while running a very long process. run<-function(){ ? ? ? ? tttry <- tktoplevel() ? ? ? ? tkwm.geometry(tttry, "+200+200") ? ? ? ? tkwm.title(tttry,"wait") ? ? ? ?

Dear R developers: I am a PHD candidate student in the school of public health of Peking University and my major is genetic epidemiology. I am learning the FAM-MDR algorithm, which is used to detect the gene-gene and gene-environment interactions in the data of pedigree. The codes were written by Tom Cattaert of the University of Liege. The algorithms and the sample datasets are available at

I am trying to do this, but it won't work: > library(lattice) > elemconc = data.frame(expand.grid(id=1:20, geno=c('exp', 'wt'), region=c('cor', 'cr', 'spine'), elem=c('fe', 'cu', 'zn')), conc=rnorm(360, 10)) > elemconc$geno = factor(elemconc$geno) > elemconc$region = factor(elemconc$region) > for (i in

Wait. Now I'm really confused. > > head(samples) quant_samples age sapply(yo, toupper) E11.5 F20het BA40 E11.5 F20het BA40 E11.5 F20HET E11.5 F20het BA45 E11.5 F20het BA45 E11.5 F20HET E11.5 F20het BB84 E11.5 F20het BB84 E11.5 F20HET E11.5 F9.20DKO KTr3 E11.5 F9.20DKO KTr3 E11.5 F9.20DKO E11.5

I am trying to use the survfit() function with the newdata argument to produce predicted survivor curves for a particular covariate profile. The main purpose of the plot will be to visualise the effect of snp1, coded 0 and 1. In my Cox model I have stratified by one variable, edu, and so I know I will automatically get a separate curve for each strata. My problem is how to deal with the

I partly answered my question since independence_test() function in coin package apparently do Cochran-Armitage trend test just like Eric Lecoutre's function tabletrend() - slightly modified here: > independence_test(pheno ~ geno, data = dat2, teststat = "quad", scores = list(geno = c(0, 1, 2))) Asymptotic General Independence Test data: pheno by groups 1 < 2

Why doesn't this work? > samples$geno <- as.data.frame(sapply(yo, toupper), col.names="geno") > samples quant_samples age sapply(yo, toupper) E11.5 F20het BA40 E11.5 F20het BA40 E11.5 F20HET E11.5 F20het BA45 E11.5 F20het BA45 E11.5 F20HET

This will probably seem very simple to experienced R programmers: I am doing a snp association analysis and am at the model-fitting stage. I am using the Stats package's "drop1" with the following code: ##geno is the dataset ## the dependent variable (casectrln) is dichotomous and coded 0,1 ## rs743572_2 is one of the snps (which is coded 0,1,2 for the 3 genotypes)

mybp <- boxplot(count ~ geno * tissue, data = mydata, plot = FALSE) mybp$names <- gsub("\\.", "\n", mybp$names) bxp(mybp) See ?boxplot for details. Best, Ista On Thu, Sep 28, 2017 at 12:40 PM, Ed Siefker <ebs15242 at gmail.com> wrote: > I have data I'd like to plot using the formula interface to boxplot. > I call boxplot like so: > > with(mydata,

Dear R Users, I am having trouble with lmer. I am looking at recombinant versus non recombinant individuals. In the response variable recombinant individuals are coded as 1's and non-recombinant as 0's. I built a model with 2 fixed factors and 1 random effect. Sex (males/females) is the first fixed effect and sexual genotype (XY, YY, WX and WY) the second one. Sexual Genotype is