similar to: Compression of largish expression array files in the DAAGbio/inst/doc directory?

I am failing to get compactPDF to make any change to a pdf file that, a/c to the message from the CRAN upload site, can be very substantially compacted. Any ideas what may be wrong? I have also tried recreating the pdf file. I also tried R CMD build --resave-data --compact-vignettes DAAG The data files compact alright (but I get the 'significantly better compression' warning message

help(letters, htmlhelp=TRUE) fails. Under the Mac OSX gui, the message is 'Help for the topic "a" was not found.' Under the version documented below, and under Windows, the message is "No documentation for 'a' in specified packages and libraries:" repeated for all the elements of letters, then followed by "you could try

Hi, there. I used the function read.maimages in limma package to analyze the microarray data .but I got following message >RG <- read.maimages(targets$FileName, source="spot") Error in grep(pattern, x, ignore.case, extended, value, fixed) : invalid argument I don't know what is the matter Thanks a lot Regards Shizhu Zang Department of Biochemsitry Peking

Hi fn <- dir(pattern="txt",full.name=T) > fn [1] "./GSM696980_US81503234_252741110209_S01_CGH_107_Sep09_1_1_32914.txt" [2] "./GSM696981_US81503234_252741110209_S01_CGH_107_Sep09_1_2_32916.txt" [3] "./GSM696982_US81503234_252741110209_S01_CGH_107_Sep09_1_3_33021.txt" [4] "./GSM696983_US81503234_252741110209_S01_CGH_107_Sep09_1_4_33024.txt"

Dear Sirs, How can I revert to an older limma version? Typing "install.packages("limma")" in R gives a list of mirrors. How can I install the version I want after I obtain and untar the file (e.g, limma_2.9.1.tar.gz)? I am running R 2.5.0 on a Linux machine (CentOS 5). When using limma it will not go past the read.maimages command. I get this error: Error in

Dear mailing group, This is my first time here. Glad to have this resource! I am currently trying to load an Excel file into R (limma package loaded) using the source(*name of directory*) command, but it cannot open the file. I renamed the file as .R and .RData, to no avail. The Excel data contains one gene name per row and about 100 data points per gene (columns). I am only used to

I am puzzled by the warning message in the output below. It appears whether or not I fit the seasonal term (but the precise point of doing this was to fit what is effectively a second seasonal term). Is there some deep reason why AR parameters ("Warning message: some AR parameters were fixed: ...") should somehow intrude into the fitting of a model that has only MA terms? >

Dear all, Trying to produce 4 maImage plots (marray package) on the same device (2 on the top and 2 on the bottom) with the layout() function or the split.screen() function, we are facing the following problem: it seems that maImage() does nt care about any of these 2 functions, and plots only one image at a time. Maybe this is inherent to this maImage() function, but we did not find anything

Can anyone suggest an equivalent, for lattice graphs, of the base graphics argument bty="l"? NB that I am leaving off the box around the strip, with a strip function: stripfun <- function(which.given,which.panel, factor.levels=as.expression(levlist), ...){ panel.text(x=0, y=0.5, lab = as.expression(levlist[which.panel[which.given]]),

I have posted, at http://wwwmaths.anu.edu.au/~john/r/newsets/ image (.rda) files, and first stabs at .Rd files for various data on deaths in London from 1629 to 1939. (There are of course gaps.) The sources (Guy 1882 & Stocks 1942) are documented in the .Rd files: (1) poxetc: measles, smallpox & total deaths: 1629-1881 [I have deliberately left several inconsistencies that were in

Alain Terriault wrote: > Just wondering if any one ever consider/use Coraid for massive storage > under CentOS? > http://www.coraid.com > It seems like a very reasonable option.. comments ? I have one of those installed on CentOS 4.6 with 1TB of storage. I'm sharing it between three servers. I can't say how well it works for multi-TB storage, but it works well enough for me

On Mon, Jun 2, 2008 at 2:03 PM, Johnny Hughes <johnny at centos.org> wrote: > I would also not use XFS in production ... but that is just me. Interesting, I thought that XFS was fairly safe for use. What would you recommend for filesystems in the 50-500 terabyte range? (And yes, we do actually run a 70 TB at the moment, so I'm not asking just to annoy you; I'm genuinely

Is there any way, after use of print.trellis(), to obtain the co-ordinates of the plot region, e.g., in what are then the native co-ordinates? e.g. library(DAAG) library(lattice); library(grid) data(cuckoos) pushViewport(viewport(layout=grid.layout(2, 1))) pushViewport(viewport(layout.pos.row=1)) cuckoos.strip <- stripplot(species ~ length, data=cuckoos) print(cuckoos.strip,

Dear all, I've tried a multiple regression, and now I want to try a cross-validation. I obtain this error (it must be sth related to df) that I don't understand, any help would be appreciated. cv.lm(df= dat, lm2.52f, m=3) Error en `[.data.frame`(df, , ynam) : undefined columns selected lm2.52f is my lm object, dat is a dataframe where the variables involved in .lm are I tried CVlm

I propose the following enhancements and changes to plot.lm(), the most important of which is the addition of a Residuals vs Leverage plot. (1) A residual versus leverage plot has been added, available by specifying which = 5, and not included as one of the default plots. Contours of Cook's distance are included, by default at values of 0.5 and 1.0. The labeled points, if any, are those

To start I wish to that you for the swift response on this issue. I do not think that I would get such a quick response from a proprietary (closed-source) company. Open Source :-). To respond to one the comments about large file systems ?recommend you split it in several smaller (2-4TB) filesystems ? This is not feasible in many situations. In some situations 2-4TB is not even a reasonable

Hi, I am following the protocol outlined here for analysis of single channel Agilent microarray data: http://matticklab.com/index.php?title=Single_channel_analysis_of_Agilent_microarray_data_with_Limma I keep getting the following error message when using Limma's read.maimages function to load my data into an RGList object: Error in RG[[a]][, i] <- obj[, columns[[a]]] : number of

The following is 'semicolon.Rnw' > \SweaveOpts{engine=R, keep.source=TRUE} > > <<xycig-A, eval=f, echo=f>>= > library(SMIR); data(bronchit); library(KernSmooth) > @ % > > Code for panel A is > <<code-xycig-A, eval=f, echo=t>>= > <<xycig-A>> > @ % Sweave("semicolon") yields the following 'semicolon.tex'

Hi Everyone, I have been trying to read some Arrayvision files( 2 channel cDNA) and am having some problem. My code is : setwd('C:/work/data/limma/ndd1'); files <- c('ndd1_1.txt','ndd1_2.txt','ndd1_3.txt'); RG=read.maimages(files,"arrayvision",sep="\t"); #Normalisation MA=normalizeWithinArrays(RG); #plotPrintTipLoess(MA); #Fit Linear

I have a file 4lmetc.Rnw, intended for inclusion in a LaTeX document, that starts: \SweaveOpts{engine=R, keep.source=TRUE} \SweaveOpts{eps=FALSE, prefix.string=snArt/4lmetc} The attempt to process the file through Sweave generates the error: > Sweave("4lmetc") Writing to file 4lmetc.tex Processing code chunks ... 1 : keep.source term verbatim Error in file(srcfile$filename, open =