similar to: help(Memory) [forwarded message]

Recently I have heard reports like the one below a couple of times: Tineke Casneuf wrote: > However I did encouter an error when trying to install a self-made dummy > package. I am sure it is not due to the package because it can be build on > someone else's windows PC. > > The error message is *rm: failed to get attributes of `/': No such file or > directory. Today I

Hi all, I ran into a strange error: I am trying to create a package skeleton for a new source package from within a function. Objects that are created in this function are to be included in my package, but for some reason, I get an error message saying that these objects cannot be found. Here is the code: ###### myfun <- function(pkgName,x){ myenv <- new.env() apply(x, 1,

Running R2.4.0 on Apple Mac OS X 10.4.8, in Emacs ESS mode, and also R.app. In an attempt to learn a bit more about a particular method (geneNames in package affy) I invoked getMethods("geneNames") which produced geneNames methods, but not the one in affy (output below). I had to know the signature (AffyBatch) in order to find the method > getMethod("geneNames",

Hello, I basically want to use R-help, and post some problems which I am facing. The Ref is a well known Genome Biology paper "Bioconductor: open software development for computational biology and bioinformatics" by Robert C Gentleman et al., 2004. Generating Heatmaps till Fig2 is working so I think esetSel is not the problem.. However, for generating the Figure 3, for GO annotations the

Dear R-Helpers, I have a data.frame (df) and the head of data.frame looks like ProbeUID ControlType ProbeName GeneName SystematicName 1665 1577 0 pSysX_50_22_1 pSysX_50 pSysX_50 5422 5147 0 pSysX_49_8_1 pSysX_49 pSysX_49 4042 3843 0 pSysX_51_18_1 pSysX_51 pSysX_51 3646 3466 0 sll1514_0_2 sll1514 sll1514

Dear list, I have gene expression measurements obtained by PCR on 11 genes, tabulated as a data matrix. I'm attempting to use GSA package to distinguish any significant changes in these genes as a pathway. My response variable is binary, 0=no disease, 1=disease. I have read the PCR data into R as follows: data <-

Martin Maechler has suggested that I post this comment to r-devel. It was originally posted to bioconductor. --------------------------------- I'd like to raise the issue of a capitalization convention for naming objects in R. Almost everything in R used to be lowercase but recently there is increasing use of mixed upper/lower case to define names. There is potential for using the

Hi R Developers, Greg is helping me with debugging R on Solaris 10 x64. Please let us know if you have any thoughts or tips that can help us debug this. Thanks, David ************ Using default transfer plist in vector_io: permuting About to write *** caught segfault *** address e8554000, cause 'memory not mapped' Traceback: 1: .External("do_hdf5save", call,

Dear all, I believe there is a problem with the corfdrci and the kendallfdrci function from the GeneNT package. The 2nd screening, that is taking what is not in the intersect of the CI and the user-defined MAS criterium does not work properly on my dataset. It seems to work properly on the dataset provided in the library. -- ==================================================================

Hi, maybe someone can help me with this: I have a matrix of genes and values: GeneName Value Abc1 10 Abc2 11 Bbc1 -5 Bbc31 2 Ccd 5 Ccd -2 Ccd 7 Dda 5 Dda 10 ..... ..... Zzz3 -1 I would like to

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Hi, I've added lzo compression support for tinc 1.0pre8. Lzo is a very fast compressor (see http://www.oberhumer.com/opensource/lzo/). I've implemented it by using two new compression levels. Compression level 10 is for fast compression using lzo1x-1 algorithm. Compression level 11 is for slow compression using lzo1x-999 algorithm.

Hi Martin, In using the Cluster Package, I have results for PAM and DIANA clustering algorithms (below "part" and "hier" objects): part <- pam(trout, bestk) # PAM results hier <- diana(trout) # DIANA results GeneNames <- show(RG$genes) # Gene Names are in this object But

I am using heatmap with the arguments below. The title size stays the same no matter what I set cex.main to. Is this expected? Can I adjust the title size in heatmap? Also, the position of the main title is at the very upper edge of the output and if I use a "\n" to stack the title the upper line is out of bounds and doesn't show up. I am outputting to pdf. Any help? Thanks,

Dear all, I am running R 2.4.1. > library(siggenes); > library(multtest); > cl<-rep(c(0,1),c(3,3)); > sub<-exprs(AffyExpData[,c(1:3,7:9)]); > gn<-geneNames(AffyRAwData); > sam.out<-sam(sub,cl,rand=123,gene.names=gn); We're doing 20 complete permutations > sam.out SAM Analysis for the Two-Class Unpaired Case Assuming Unequal Variances Delta p0

I am trying to use a new (to me) package (samr) and even when I try to run a very simple example, I get this "cannot open the connection" error. The reason I am writing to r-help rather than to the authors of samr is I think this may be a more general R problem rather than a samr-specific problem. Perhaps something with my installation and write access to some particular place ? I am

Hi, I was working on a classification problem using the pamr package. I used the pamr.adaptthresh() function to find the optimal accuracy of the classifier. I must not be doing it right, since it doesn't return the threshold values for optimum classification. For example,if I run it on a dataset, I get the following result using pamr.adaptthresh(): predicted true

Hello Everybody, I am trying to perform SAM with the samr package. I am using the following code: sink ("R005") library(siggenes) library(samr) library(nnet) A <- as.matrix(read.table("D:\samrgenes1000.txt")) B <- as.matrix(read.table("D:\genenames1000.txt")) y1 <- c(rep(1,20),rep(2,6)) #there are 20 chips of one kind and 6 of the other kind. datasam =

Hi, I was working on a classification problem using the pamr package. I used the pamr.adaptthresh() function to find the optimal accuracy of the classifier. I must not be doing it right, since it doesn't return the threshold values for optimum classification. For example,if I run it on a dataset, I get the following result using pamr.adaptthresh(): predicted true (1)

Hi, Sorry about the earlier formatting errors... I was working on a classification problem using the pamr package. I used the pamr.adaptthresh() function to find the optimal accuracy of the classifier. I must not be doing it right, since it doesn't return the threshold values for optimum classification. For example,if I run it on a dataset, I get the following result using

I'm running samr (Two class unpaired), but keep getting the following error: perm= 1 Error in if (logged2) { : argument is of length zero <code> library (impute) library (samr) data = list (x=dat, y=y, geneid = matrix(twoUnpaired.data[,1],ncol=1), genenames = matrix(twoUnpaired.data[,2], ncol=1)) samr.obj <- samr (data, resp.type="Two class unpaired", nperms=100)