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Hi all, I have a dataset in which the output Y is observed on two groups of patients (treatment factor T with 2 levels). Every subject in each group is observed three times (not time points but just technical replication). I am interested in estimating the treatment effect and take into account the fact that I have repeated measurements for every subject. If I do this with repeated measures

Hi all, I am trying to run R CMD check on a package which passes R CMD INSTALL. The check stops because of a parsing problem in the example of a given function at this line: return(res[res$ID %in% list$targetGeneSets,]) The code is ok, since it runs if I paste it in R. Is this a known parsing issue in R CMD check? Thanks, Adi > sessionInfo() R version 2.13.0 (2011-04-13) Platform:

Hi everyone, According to R reference manual, the nnet function uses the BFGS method of optim to optimize the neural network parameters. I would like, when calling the function nnet to tell the optim function not to produce the tracing information on the progress of the optimization, or at least to reduce the frequency of the reports. I tried the following: a) nnet default > x<-rnorm(20)