similar to: make check still fails with 1.7.0beta (3/27/2003)

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

This is interesting: The crash does not happen if I run Rgui in MDI mode. The crash seemed to only occur in SDI. Andy =========================================================== For the record: Under Rgui, using the menu "File / Channge dir..." to change to a network drive crashes rgui. The crash happens if I browse to a folder on a mapped drive. I.e., if I type in

Dear R-devel, I'm encountering a strange problem in a Rd file that I'm working on. In the "Value" section, I have something like: ===================== \value{ An object of class \code{randomForest}, which is a list with the following components: \item{call}{the original call to \code{randomForest}} ... For classification problem, the following are also included:

With the same system configuration (WinNT4 SP6 and 1.7.0), I get such a Dr Watson crash each time I try to use the Change dir... command in the File menu of Rgui.exe. I doesn't seems to happen if I do this immediately after starting R but well if I already did some computation. I don't have any problem by using directly setwd(). At 12:10 23/04/03, you wrote: >Date: Tue, 22 Apr 2003

Dear R-help, Can some one explain why barplot() uses changing colors in the bars by default? I should think that most of the time when people draw barplots, they want the bars to be in the same color. (At least that's what I'd expect. The first time I used barplot() in R, I was shocked to see the colors.) As an example, one example in ?layout draws a scatterplot with histograms drawn

Dear R-help, Can some one explain why barplot() uses changing colors in the bars by default? I should think that most of the time when people draw barplots, they want the bars to be in the same color. (At least that's what I'd expect. The first time I used barplot() in R, I was shocked to see the colors.) As an example, one example in ?layout draws a scatterplot with histograms drawn

Dear R-help, This one is probably a piece of cake for regexp masters. I'd like to split a character vector (for simplicity, say of length one for now) that contains fields that are delimited by arbitrary number of white spaces (e.g., " a b c "). How do I get the character vector that contain the fields? In the example I gave, I've tried: > strsplit(" a b c

Under v1.6.2, Windows NT4 OS, when a function contains an execution error and I have placed browser() in inside the function body, the call to browser is ignored. A brief example to illustrate: > foo <- function(x) { + y <- x ^ 2 + browser() + foo2(x) ## Intentional error + x ^ 3 + } > > foo(30) Called from: foo(30) Browse[1]> Error in foo(30) : couldn't find

(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, Has anyone tried running R on a Beowulf-type cluster? I can get R to run in batch (using R CMD BATCH) on a cluster, but am wondering if it is possible to get an interactive R session on a compute node. Right now, if I run: beorun --nolocal R I just get the R start-up message and back to the shell prompt. If I try bpsh 0 R I can get R started (but the R prompt does not

Dear R-help, Has anyone notice the problem that, on Windows (NT and XP), when printing a graph using the "File -> Print..." menu in the graphics window to print the graph, that line width seemed to be ignored in the printed output? For example, if I make a plot with plot(1:10, type="l", lwd=5), it looks right on screen, but when printed out using the menu, it looks like

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-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)

Dear R-help, I was bitten by the behavior of all() when given logical(0): It is TRUE! (And any(logical(0)) is FALSE.) Wouldn't it be better to return logical(0) in both cases? The problem surfaced because some un-named individual called randomForest(x, y, xtest, ytest,...), and gave y as a two-level factor, but ytest as just numeric vector. I thought I check for that in my code by testing

Hi all, There is now a package available on CRAN that provides an R interface to Leo Breiman's random forest classifier. Basically, random forest does the following: 1. Select ntree, the number of trees to grow, and mtry, a number no larger than number of variables. 2. For i = 1 to ntree: 3. Draw a bootstrap sample from the data. Call those not in the bootstrap sample the

Hi all, There is now a package available on CRAN that provides an R interface to Leo Breiman's random forest classifier. Basically, random forest does the following: 1. Select ntree, the number of trees to grow, and mtry, a number no larger than number of variables. 2. For i = 1 to ntree: 3. Draw a bootstrap sample from the data. Call those not in the bootstrap sample the

Dear R-devel, Can anyone give me some hints on how to go about debugging a strange segfault in my randomForest package? Here's the scoop: A user reported segfault when running predict() in the randomForest package. I asked for the data and code. The combination runs fine under WinXPPro, but does give segfault on one of our Linux boxes running R (1.7.0 through R-devel_2004-01-08) on

I know I should not mix base plotting functions with grid/lattice functions, but I have used a "quick-and-dirty" trick of par(new=T) in the past for annotating a trellis-drawn graph in various versions of S-PLUS. The sequence goes something like this: > windows(width = 5, height = 5, pointsize = 10) # open up the device > xyplot(y ~ x) > par(new=T) > xyplot(y2 ~ x) >

Before I do that, I would need to remove the gcj stuff that are in /usr/bin. If I know how to remove gcj, I'd gladly do that. However, for the particular version of the OS, the entire GCC seems to be bundled into one rpm, and I could not remove just the gcj component. Neither do I wish to mess with files that are part of some RPMs--- in my experience that's invitation for trouble later.