similar to: RE: problem with while loop with next

Dear R-help, I think I have kinda isolated the problem I had to the following: i <- 0 while( {i <- i + 1} < 5) { if(i < 3) next print(i) } This seems to go into an infinite loop. After I break the execution, i has the value 1. At the R prompt, if I start from i <- 0 and keep typing {i <- i + 1} < 5, it eventually evaluate to TRUE. So why does the while loop not work?

Prof. Gentleman (and R-help), Here's an example of what didn't work. I still don't understand why. Function: trycon <- function(file, n) { f.con <- file(file, open="rt") on.exit(close(f.con)) i <- 0 while( length(readln <- readLines(f.con, 1)) > 0 ) { x <- unlist(strsplit(readln, " ")) if(length(x) <= 6 && x[3] ==

I am attempting to iterate over a file, processing it line by line. In my function below, I am only getting the first item over and over and over again from my test file rather than subsequent lines. How can I modify this to read lines sequentially? == iteratefile <- function(file) { f.con <- file(file) on.exit(close(f.con)) while( length(readln <- readLines(f.con, 1)) > 0 ) {

Dear R-devel, I've run into this problem that when I hit c-c to interrupt a command or computation, the R session just ends. The info: R-1.4.1 compiled from source on Linux Mandrake 7.1. Dual P-3 Xeon with 2GB ram. 1. Compiled R with link to Intel Math Kernel Library (for fast BLAS), which needed pthread. C-c at the R prompt ends the R session. 2. Compiled R with link to (threaded)

Byron Ellis has been making some progress on a hdf5 library for microarray data (and any other thing you want to put in there). In doing so some issues have arisen that are of more general interest. 1) hdf5 supports annotation (through comments) so it would be nice if the comment function in R became generic. I think this is backward compatible and basically not really an issue of any

I received several answer to my querry re reading zipped files, R.Gentleman, Liaw Andy, BD Ripley,J Holtman, A.Matt, and others, sorry if I missed your names. a- use pipe to run external unzip to a file and read from there b- use gzfile() to open directly a gzipped file c- use zip.file.extract() solution b works like a charm, unfortunately it open gzipped files and not zipped files, would it be

Dear R-help, I have one more question about the functions mentioned in the subject. Again, the system info is: platform i386-pc-mingw32 arch x86 os Win32 (OK, it's NT4sp6) system x86, Win32 status major 1 minor 3.1 year 2001 month 08 day 31 language R

Hi Everyone, I'm wondering if anyone here write AGI's in compiled binaries. I'm writing a small Cepstral AGI in Freepascal/Lazarus. I know there are some other AGI's out there, but I wanted to add some more functionality than what is available such as having the AGI determine if the "data" argument is plain text or a path to a text file and act accordingly. The

(Sorry for the cross-post--- I wasn't sure which list is more appropriate...) Hi everyone, I've run into segfaults when using my randomForest package on large dataset (e.g., 100 x 15200) and large number of trees (e.g., ntree=7000 and mtry=3000). I'm wondering if anyone can give me some hints on where to look for the problem. The randomForest package mainly consists of two things:

(Sorry for the cross-post--- I wasn't sure which list is more appropriate...) Hi everyone, I've run into segfaults when using my randomForest package on large dataset (e.g., 100 x 15200) and large number of trees (e.g., ntree=7000 and mtry=3000). I'm wondering if anyone can give me some hints on where to look for the problem. The randomForest package mainly consists of two things:

Dear R-help, I've run into a problem loading .RData: I was running a large computation, which supposedly produce a large R object. At the end of the session, I did a save.image() and then quit. The .RData has size 613,249,399 bytes. Now I can't get R to load this .RData file. Whenever I tried, I get "Error: vector memory exhausted (limit reached)". I tried adding

I'm been doing more and more of file text parsing inside R instead of coping with Perl. For that, I need open a file and read it line-by-line. I found the documentation for 'open' isn't very clear. Right now it has ,----[ *help(R)[open]* ] | 'open' opens a connection. In general functions using connections | will open them if they are not open, but then close them

Hi all, Thanks to Prof. Ripley, Prof. Gentleman, and Simon Wood (did I miss anyone?). The problem seemed to have gone away. Everyone suggested using some malloc debugger (such as Electric Fence). All I did was following half of what BDR suggested below, i.e., changing all the S_alloc() calls to Calloc() and Free(). I didn't get to try efence, and the problem seems to have disappeared! As

Here's a skeletal example. Embellish as needed: p <- 5 n <- 300 set.seed(1) dat <- cbind(rnorm(n), matrix(runif(n * p), n, p)) write.table(dat, file="c:/temp/big.txt", row=FALSE, col=FALSE) xtx <- matrix(0, p + 1, p + 1) xty <- numeric(p + 1) f <- file("c:/temp/big.txt", open="r") for (i in 1:3) { x <- matrix(scan(f, nlines=100), 100,

I like Thomas' example. Kurt can you include it in the FAQ. Recently I have been doing a lot of programming that has required either optimization or zero-finding. Unfortunately most of the functions need some arguments to be optimized over and have other parameters that depend on the data but are fixed with respect to optimization. With R scoping rules this is a trivial problem; simply

I like Thomas' example. Kurt can you include it in the FAQ. Recently I have been doing a lot of programming that has required either optimization or zero-finding. Unfortunately most of the functions need some arguments to be optimized over and have other parameters that depend on the data but are fixed with respect to optimization. With R scoping rules this is a trivial problem; simply

Hi! I've been able to configure and make R (1,4,0 linux) except for the gnome support. I've checked all packages and libs mentioned in R-admin.pdf (and by Luke Tierny) to make sure that I have them and even using the following: ./configure --with-gnome --with-gnome-includes=/opt/gnome/include --with-gnome-libs=/opt/gnome/lib --with-libglade-config=opt/gnome/lib I still get: R is now

Dear R-help: Has anyone tried using R on the the AMD Opteron in either 64- or 32-bit mode? If so, any good/bad experiences, comments, etc? We are considering getting this hardware, and would like to know if R can run smoothly on such a beast. Any comment much appreciated. Best, Andy Andy Liaw, PhD Biometrics Research PO Box 2000, RY33-300 Merck Research Labs Rahway, NJ

Dear R-help, Yes, I do know about the auto-loading feature. My question is more complicated than that: Suppose I loaded a package (e.g., e1071) and created an object of certain class (e.g., svm), for which there is a print method in the package to hide things that the user may not need to see (e.g., large vectors or matrices needed by methods such as predict). If the next time I started R, I

Can Luke Tierney's recent S-new post on scoping be included in the R FAQ? I'm just going through my package and eliminating a few instances of "eval" as I hadn't realized the dangers. I noticed that one way I've used eval is for prompting, as in n <- eval(parse(prompt="Enter the number of singular values to use: ")) I presume this is not too dangerous, but