similar to: R 2.1.0 scheduled for April 18

The core team has decided to release R 1.5.0 on April 29th. Somewhat earlier than maybe expected, but we realized that we needed a phase-shift away from our usual cycle with main releases in June and December since it was placing feature freezes just when several members were in a creative phase due to end of teaching. The roadmap is as follows April 8 feature freeze on r-base April 15 code

We have now (actually a few days ago) declared a "Grand Feature Freeze" on the development sourcs, meaning that we might still add functionality and fix bugs, but we will not do any further major changes. It should be noted that there has been a couple of quite big changes compared to the 1.6.x series, notably namespaces and the methods package. Also, many more packages are now loaded

Dear all R-helper, if I want to use stdout from other language as my R program input ,which is the best way for design the API,using Pipe function or produce a temporary file,using scan function to read the file ? thanks Michael

Hi, I am trying to figure a way to allocate a string SEXP so that gc() won't ever collect it. Here is a little bit of a background. Suppose I want to write a .Call-callable function that upon each call returns the same value, say mkChar("foo"): SEXP getFoo() { return mkChar("foo"); } The above implementation doesn't take advantage of the fact that

This is to announce that we plan to release R version 2.8.0 on Friday, April 17, 2009. Release procedures start Tuesday March 17. The detailed schedule can be found on http://developer.r-project.org The source tarballs will be made available daily (barring build troubles) and the tarballs can be picked up at http://cran.r-project.org/src/base-prerelease/ a little later. Binary builds are

This is to announce that we plan to release R version 2.8.0 on Friday, April 17, 2009. Release procedures start Tuesday March 17. The detailed schedule can be found on http://developer.r-project.org The source tarballs will be made available daily (barring build troubles) and the tarballs can be picked up at http://cran.r-project.org/src/base-prerelease/ a little later. Binary builds are

Hello... I would like to use R for 'pipelining' data among several programs. I'm wondering how I can use R to call another program, feed that program a set of parameters, and retrieve the output. E.g., I have an executable that, when opened, prompts the user to enter a set of parameters. The program then executes & prompts the user for the name of an output file. I need to

This is to announce that we plan to release R version 2.11.0 on Thursday, April 22, 2010. Those directly involved should review the generic schedule at http://developer.r-project.org/release-checklist.html The source tarballs will be made available daily (barring build troubles) via http://cran.r-project.org/src/base-prerelease/ For the R Core Team Peter Dalgaard -- O__ ---- Peter

This is to announce that we plan to release R version 2.11.0 on Thursday, April 22, 2010. Those directly involved should review the generic schedule at http://developer.r-project.org/release-checklist.html The source tarballs will be made available daily (barring build troubles) via http://cran.r-project.org/src/base-prerelease/ For the R Core Team Peter Dalgaard -- O__ ---- Peter

This is to announce that we plan to release R version 2.7.0 on Tuesday April 22, 2008. The following information is mainly for developers, package maintainers and repository maintainers. The planned procedure is Mar 25: "Grand Feature" Freeze 2.7.0 alpha Apr 8: Feature Freeze 2.7.0 beta Apr 15: Code Freeze 2.7.0 RC Apr 22: Release 2.7.0 GFF: No

I have used Sweave a lot the latest year, but never really used any long function calls. If I have code which look like this ------------------------------------------------------------- gof <- benthic.flux(ID="Gulf of Finland", meas.conc=conc, bw.conc=bw.conc, time=times,

Hi, for presentation purposes I would like to clear to whole console window (like in a UNIX terminal: 'clear'). Is there such a function? If not, I could image that is not too hard to write such a function. Cheers, Hans

Can anyone point out why this is not working? y<-read.table(pipe(' awk '{ n = $1; sub( ".*" $1 " " ,"") ; while ( n-- ) print }' temp.txt ')) [[alternative HTML version deleted]]

Hello, This code works fine but is so fast I can't see anything but the last plot. for (i in nrow(X)){ plot(as.numeric(d[i,])) } I'd like to view a plot every 500 milliseconds, nrow(X) = 400. How? Thanks -- View this message in context: http://www.nabble.com/Plot-timer-in-a-for-loop-tp17741975p17741975.html Sent from the R help mailing list archive at Nabble.com.

Hi, I am using the following command to print to a file (I omitted the file details): cat( paste( paste(orientation, start, end, names,"\n"), paste(start, end, "exon\n"), sep="")) where "orientation" and "names" are character vectors and "start" and "end" are integer vectors. The problem is that R coerce the integer vectors

Dear all, I would like to start a process from an R program in such a way that I can both feed input into the process and read the process's output. It seems that in R, I can have a pipe for writing into another process's input or a pipe for reading from another process's output, but not both. Doing both necessitates forking, such that the child can start the external process and

Dear all, I would like to start a process from an R program in such a way that I can both feed input into the process and read the process's output. It seems that in R, I can have a pipe for writing into another process's input or a pipe for reading from another process's output, but not both. Doing both necessitates forking, such that the child can start the external process and

How precise is R numerically? For example I wrote the following function for calculating the volume of the ball inscribed in the unit cube in m dimensions. In order to see what happens in 40 dimensions, I created an output of 24 digits. But how many are precise? Thanks Josef Eschgf?ller Ferrara --------------------------------------- Vol = function (m) {if (m<=1) 1 else Vol(m-2)*pi/(m+m)}

I have been using the fork package on a cluster to spawn jobs. I have noticed that I end up with many "R defunct" (zombie) processes following the use of fork that do not die completely until I close down R. Initially, I thought it may be my code but I ran the example from the latest fork package (see code below) on R.2.3.1 and ended up with the same problem. The code from the

Can anyone please help me understand whats happening here? Thanks Tom getAmpRatio<-function(v_amps){ #calculates the amplitude ratios between the 3 largest amps and the rest bigamp<-0 map<-rep(TRUE,length(v_amps)) for(iLoc in 1:3){ bigamp<-bigamp+max(v_amps) map[which.max(v_amps)]<-FALSE v_amps<-v_amps[map]