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Hi, I'm scratching my head as to why I can't use the subset() command to remove one line of data from a data frame. There is just one row (out of 45840) that I'd like to remove and it can be identified using.... > dim(raw.all.clean) [1] 45840 10 > subset(raw.all.clean, Height.1 == 0 & Height.2 == 0) Sample.Name Well SNP Allele.1 Allele.2 Size.1 Size.2

Hi, I noticed recently when installing the GDD package for R under GNU/Linux that it required the gd library (http://libgd.org/) for generating graphics. The resolution of this was to simply install the library on my system, and then GDD successfully installed without any complaints. However, the variant of GNU/Linux that I use is Gentoo, so I filed a bug requesting that a USE flag be set for

> I am trying to produce a heatmap of pairwise correlations, but since the matrix is > symmetric, I only need either the upper or the lower triangle. I have scoured the > web and R documentation, but I have not been able to find a way to produce such a > figure. Is there a simple way to produce a heat map with only the part above or > below the diagonal? You might want to check

Hi, I'm trying to cast() some data, but keep on getting the following error... > norm.all.melted.height <- transform(all.melted.height, + norm.height = value / ave(value, SNP, Pool, FUN = max) + ) Warning messages: 1: In FUN(X[[147L]], ...) : no non-missing arguments to max; returning -Inf 2: In FUN(X[[147L]],

I saw there exists an R version for Mac/OS. I'd like to hear from someone who is running R on a Mac/OS before venturing on getting the following computer system. I am in the process of choosing a powerful laptop 17" MB PRO 2.6GHZ(dual-core) 4GBRAM .... Thank you so much, -- Maura E.M [[alternative HTML version deleted]]

I recently installed R 2.6 on Linux/SuSE When I was running the previous version on Windows I was able to save my plots from a script. There was a command "savePlot" that is no more retrieved in the last version. In this scenario, how can I tell R to save the currently displayed plot to a file ? The "save" command is generic and do not know how to tell R that the plot is to be

Hi all, I've just started using the Friedrich Leisch's Sweave package to generate LaTeX reports with results of my analyses embedded as required. I've encountered a bit of a problem though in the processing of the resulting *.tex file that is as far as I can tell, down to the fact that my variable names have underscores ('_') in their names. The relevant section of code

I am trying to get a measure of how R compares in usage as a statistical platform compared to other software. I would guess it is the most widely used among statisticians at least by virtue of it being open source. But is there any study to which I can refer? By asking this list I am not exactly adopting a rigorous approach! Best wishes John John Logsdon

Hello to everyone! I have built CRAN task view for genetics. For now I have not submit it to CRAN yet and it can be accessible from: http://www.bfro.uni-lj.si/MR/ggorjan/software/R/Genetics.html http://www.bfro.uni-lj.si/MR/ggorjan/software/R/Genetics.ctv I have not submitted it to CRAN, since I would like first some opinion about it. Genetics is really so broad field that I belive one person

I tried to install "segmented" from three different repositories but I keep getting the following message on R window: ... Please, advice where to find this package. Thank you in advance. Maura > utils:::menuInstallPkgs() --- Please select a CRAN mirror for use in this session --- Warning: package 'segmented' is in use and will not be installed > utils:::menuInstallPkgs()

I have downloaded the source code for Linux. the ./configure procedure can find gcc but cannot find f77 or f2c I have looked for the above compiler with Test and installed all what pertains to Fortran. Still not even the man pages for f77 anf fc2 work >. Where is f77 and f2c with linux 10.3 ?? Thank you do much -- Maura E.M [[alternative HTML version deleted]]

I have a loop that processes all the raw data files in agiven directory. It should allocate only the memory to accomodate the filenames list. Each file is loaded into RAM one at a time and saved to another directory after processing. The R script runs fine but it had some memory problems so it was terminated before getting to the end of the list. This is a Windows XP desktop with ~ 1GB RAM In the

Hi everyone It looks like repeated runs of fastICA produce quite significantly different mixing matrices (not only in terms of sign and row order). I'm not a specialist, so would appreciate any advice on whether this should really be the case: > res3 = > fastICA(af[,2:20],4,alg.typ="parallel",fun="logcosh",alpha=1,method="C",row.norm=TRUE) colstandard >

I am reading the comprehensive on-line documentation about msm. The positive side is that it seems it has been designed for biomedical statistics, like Clinical Trials. The bad side is that it does not seem to model observations sequences that are not independent but instead are autocorrelated, as it is my case. I did not find any mention to correlated observations therefore I assume the authors

I have 316 files. Each file represents a patient's breathing track (respiratory signal recorded for a variable number of cycles). All files have the same are made up of a header followed by a variable number of records. Each record contains 7 comma separated fields. The patient ID is recorder in the header which is stripped off when reading the file into a R data.frame. Since I need to keep

Thank you for your prompt answer. The breathing signal observations are the amplitude values as a function of time and phase. According to our model the hidden states are the different breathing types. Subjects, whose respiratiion process is regular, are likely to breathe, keeping the same cycle pattern/type, for many consecutive cycles. therefore dwelling in the same hidden state. The more

I am reading some documentation about Cross Spectrum Analysis as a technique to compare spectra. My understanding is that it estimates the correlation strength between quasi-periodic structures embedded in two signals. I believe it may be useful for my signals analysis. I was referred to the R functions that implement this type of analysis. I tried all the examples which generated a series of

I tried to use R version of package I noticed the original MatLab Pckage is much better documented. I had a look at the R demo code "gtm_demo" and found that variable Y is used in advanced of being created: I wrote my own few lines as follows: inDir <- "C:/Documents and Settings/Monville/Alanine Dipeptide/DBP1/DHA" setwd(inDir) T <-

I have downloaded and tried to install JGR - Java GUI for R - Version 1.5. I followed all the instructions (at least in my best resolution) and installed Java latest version. R installation complete fine. Has anyone succeded in installing JGR on SuSE 10.3 ? In the following I hade detailed the failed installation, As root /i did the following: linux-Mimin:/usr/local/bin # ./R R version 2.6.0

I'd like to know why I cannot get a plot and the QQnorm in the same sheet. The commands are simple but: library(nlme) glmod1 <- gls(upfmla,correlation=corAR1(),method="ML") summary(glmod1) par(mfrow = c(2,1)) plot(glmod1, main="GLS Residuals vs. GLS Fitted") qqnorm(glmod1) No matter what (I tried different permutations of the plotting commands) the second drawing