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Hello, I use Gentoo and I can't get R 2.0.1 to compile. I used the portage system, Gentoo's source package sytem, and after it uncompresses the source to R, it says that I don't have a fortran compiler. It told me to use f77 flag and re-emerge gcc, which I did with the f77 and fortran flags, but it still won't compile. Does anyone have any ideas? I suspect that gcc has changed

Dear R People: Please excuse the off topic question. What are the dimensions of A-4 Paper, please? Actually, the question should read, "how do I set up a LaTex file to fix A-4 paper, please?" Thanks much! Sincerely, Erin Hodgess Associate Professor Department of Computer and Mathematical Sciences University of Houston - Downtown mailto: hodgess at gator.uhd.edu

Hi, Is there any 64-bit compatible version of 'R' available? Thanks & Regards, Uttam Phulwale Tata Consultancy Services Limited Mailto: uttam.phulwale@tcs.com Website: http://www.tcs.com [[alternative HTML version deleted]]

After a search session in Google, I found this page: http://www.prevx.com/filenames/X1993788672854780728-0/RGUI.EXE.html which classifies Rgui.exe (clearly stated as "R for Windows GUI front-end") in a database of virus, spyware and malware! No comments! Philippe Grosjean

...I don't know if Michele is still active in maintaining R for Mandrake. But he has a site for R and Mandrake in italian and this may provide some first clues. HTH, Ioannis -- Ioannis C. Dimakos, Ph.D. University of Patras Department of Elementary Education Patras, GR-26500 GREECE http://www.elemedu.upatras.gr/dimakos/ http://yannishome.port5.com/

Hello anyone, I'm trying to install R on Mandriva 2006 distribution via rpm file with the line urpmi R-2.0.0-1mdk.i586.rpm but I got an error message saying that the file is not accessible due to some info problem. I also tried with a source code in R-2.1.1.tar but I think that there is some problem concerning the new version of gcc (4.x), so I downgraded it to gcc 3.4.5 but it does

Dear list members: I have the following data: group <- rep(rep(1:2, c(5,5)), 3) time <- rep(1:3, rep(10,3)) subject <- rep(1:10, 3) p.pa <- c(92, 44, 49, 52, 41, 34, 32, 65, 47, 58, 94, 82, 48, 60, 47, 46, 41, 73, 60, 69, 95, 53, 44, 66, 62, 46, 53, 73, 84, 79) P.PA <- data.frame(subject, group, time, p.pa) The ten subjects were randomly assigned to one of two groups and measured