similar to: Please help with this error - new to

I have developed a problem with the postscript output of plot on Windows. My code still works properly with R 2.3 but, with R 2.4, the white text on red background does not show up. It does, however, show up when output is sent to the screen. Below is my code and sessionInfo. R version 2.4.0 Under development (unstable) (2006-08-29 r39012) i386-pc-mingw32 locale: LC_COLLATE=English_United

I try to send this message To Gordon Smyth at smyth at vehi,edu.au but it bounced back, so here it is to r-help I am trying to use limma, just downloaded it from CRAN. I use R 2.0.1 on Win XP see the following: > library(RODBC) > chan1 <- odbcConnectExcel("D:/Data/mgc/Chips/Chips4.xls") > dd <- sqlFetch(chan1,"Raw") # all data 12000 > # > nzw <-

Mark, there is a fdr website link via Yoav Benjamini's homepage which is: http://www.math.tau.ac.il/%7Eroee/index.htm On it you can download an S-Plus function (under the downloads link) which calculates the false discovery rate threshold alpha level using stepup, stepdown, dependence methods etc. Some changes are required to the plotting code when porting it to R. I removed the

You asked the same question on the Bioconductor mailing list back in August. At that time, you suggested yourself a solution for how the adjusted p-values should be interpreted. I answered your query and told you that your interpretation was correct. So I'm not sure what more can be said, except that you should read the article Wright (1992), which is cited in the help entry for p.adjust(),

Dear R-Help, I am using the function "topTable" from the LIMMA package. To estimate adjusted P-values there are several options (adjust="fdr" , adjust="BH") as shown below: topTable(fit, number = 10, adjust = "BH", fit$Name) I guess any of these options (fdr, BH, etc.) is using a default of FDR=0.05 which is quite conservative (i.e., very

Dear R-people! I??m trying to write a C program that write to the standard input of R and read the standard output. I can perfectly read the R output, but I??m not able of writing anything to R. This program really works with the 'cat?? UNIX command, but it does not work with R. What I??m doing wrong??? It is possible to do it??? I want to start R once and use it thousands of times...

Dear R-people! I??m trying to write a C program that write to the standard input of R and read the standard output. I can perfectly read the R output, but I??m not able of writing anything to R. This program really works with the 'cat?? UNIX command, but it does not work with R. What I??m doing wrong??? It is possible to do it??? I want to start R once and use it thousands of times...

i''m missing something here. how would I code this outside the application to be shared with other Camping apps? module Blog::Controllers module AuthenticationHelper def self.included(base) class << base define_method :authenticate do |*a| a.each do |meth| if method_defined?(meth.to_s)

Here is a piece of code fitting a model to a (part) of a dataset, just for illustration. I can extract the random interaction and the residual variance in group meth==1 using VarCorr, but how do I get the other residual variance? Is there any way to get the other variances in numerical form directly - it seems a litte contraintuitive to use "as.numeric" when extracting estimates,

Dear All, It is not a typical R question (though I use R for this) but I thought someone will help me. For the list of P values, I have calculated FDR using p.adjust() in R (bioconductor). But my FDR values are same for all the P values. When do we get same FDR values? Does the smallest P values should less than 1/N? (where N is the number of P values) Thanks in advance. Kind regards, Ezhil

Dear R-help Hi, I'm Won. I try to do microarray normalization by R. I use justRMA function within affy package, got error about segment fault. I don't know why it happen. I attached error below. Please help me. Thank you. Cheers, Won ======================= OS : Redhat linux Cpu : intel xeon X5570 Memory : 26Gb & OS : Ubuntu Cpu : intel q6600 Memory : 8Gb

Hello, I am trying to install affy package in R as follow: >R CMD INSTALL -l lib ~/rstuffs/affy_1.4.32.tar.gz Then I get an error at the end: Warning message: There is no package called 'Biobase' in: library(package, character.only = TRUE, logical = TRUE, warn.conflicts = warn.conflicts, [1] "ProgressBarText" [1]

Hi, I decided to upgrade to 1.8 today... :-) Anyway, we are writing our own package that is dependent on a bioconductor library - 'affy'. I've checked and when I fire up R, library(affy) behaves as expected... so it all seems to be installed and OK... In the DESCRIPTION file in my package source I have the line: Depends: affy When I run R CMD check simpleaffy I get to: ... *

Hi, I was trying to get a graph in lattice with the following data frame (7 rows, 5 cols): chr start1 end1 meth positive 1 1 10 20 1.5 y 2 2 12 18 -0.7 n 3 3 22 34 2.0 y 4 1 35 70 3.0 y 5 1 120 140 -1.3 n 6 1 180 190 0.2 y 7 2 220 300 0.4 y I wanted the panels to be organized by 'chr' -

Hello all, I am trying to make a genome association plot for p-values related to SNPs and was fortunate to find that R contains a package that produces Manhattan plots which is what's preferred for my current project. The function mhtplot() is found in the 'gap' package which I installed in R 2.11.1 on Windows. I thought I'd test out the function first with the examples they

Interrogating some (of my own) code in another package. >norm.meth <- getMethod("normalize", "MatrixLike") >message("str(norm.meth)") >str(norm.meth) >message("show(norm.meth at .Data)") >show(norm.meth at .Data) Last show() displays this: function (object, ...) { .local <- function (object, method = c("median",

I have run into a problem loading a just saved R object using R-devel. I have been saving and loading this particular type of R object for a long while and never ran into this problem. I save, then immediately reload (to test save) and get "ReadItem: unnknown type 65". This error is reproducible after logout from server and restart of emacs and R. Below is my output and

I have run into a problem loading a just saved R object using R-devel. I have been saving and loading this particular type of R object for a long while and never ran into this problem. I save, then immediately reload (to test save) and get "ReadItem: unnknown type 65". This error is reproducible after logout from server and restart of emacs and R. Below is my output and

Hello, I've a question about the fdr method in p.adjust: What is the threshold of the FDR, and is it possible to change this threshold? As I understand the FDR (please correct) it adjusts the p-values so that for less than N% (say the cutoff is 25%) of the alternative hypothesis the Null is in fact true. thanks a lot for help, +regards, Arne

Hi all, While compiling R to RISC-V64 architecture and debugging in R's C source codes, I think I have found a small bug. Can anyone please verify whether it is a real bug? The possible bug lies in the file `R-4.2.2/src/library/stats/src/approx.c` in function `R_approxfun` around line 148: #ifdef DEBUG_approx REprintf("R_approxfun(x,y, nxy = %.0f, .., nout = %.0f, method = %d,