similar to: all(logical(0)) and any(logical(0))

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:

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

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

Dear R-devel, Kurt had alerted me to the problem that the randomForest package that I maintain has been failing checks in R-devel. However, I just can't see why or where it's failing. I'd very much appreciate any pointer. The failure occur when running the example code in varImpPlot.Rd: > varImpPlot(mtcars.rf) Error in par(opar) : invalid value specified for graphical parameter

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 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 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, Has anyone played with this? http://www.amd.com/us-en/Processors/DevelopWithAMD/0,,30_2252_2282,00.html <http://www.amd.com/us-en/Processors/DevelopWithAMD/0,,30_2252_2282,00.html> . I'll probably give it a shot... Best, Andy Andy Liaw, PhD Biometrics Research PO Box 2000, RY33-300 Merck Research Labs Rahway, NJ 07065 mailto:andy_liaw@merck.com

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.

Dear R-users, While making a prediction using the randomForest function (package randomForest) I'm getting the following error message: "Error in predict.randomForest(model, newdata = CV) : No forest component in the object" Here's my complete code. For reproducing this task, please find my 2 data sets attached ( http://www.nabble.com/file/p17855119/data.rar data.rar ).

Dear R-devel, I recall that there used to be a mechanism to get around the requirement that all objects in a package have associated documentation; i.e., a way to specify a list of objects (mostly functions) that are not considered as part of the package API. Is this still available? I cannot find any mention in R-exts. I realize that the way to go is to have a name space, and eventually

[I believe few users manipulate formulae and model frames like this, so I'm posting here instead of R-help.] I just found out that model.frame() includes all terms, including those preceded by "-" in the formula, in its output (as mentioned on its help page). Is there a recommended way of excluding "negative" terms? My guess is that I can use info in the terms attribute

Dear R-help, I've been compiling R from source on our Linux boxes for quite a while. One thing that bugs me is that I always get an error when make check-all where it choked up running tests/internet.R. That wasn't a big deal, as I can run install.packages()/update.packages() fine, and that's all I use the 'net connection for. The problem is that it takes a _long_ time to fail

Dear R-help, I've encounter what seems to me a strange problem with "names<-". Suppose I define the function: fun <- function(x, f) { m <- tapply(x, f, mean) ans <- x - m[match(f, unique(f))] names(ans) <- names(x) ans } which subtract out the means of `x' grouped by `f' (which is the same as, e.g., resid(lm(x~f)) if `f' is a factor).

Hi all, I've only now noticed that on our Opteron boxes running Suse Enterprise Server 8 that R-2.0.1 did not pass make chek-all. It bombed in tests/lapack.R at: > eigenok <- function(A, E, Eps = 1000 * .Machine$double.eps) { V <- E$vect lam <- E$values stopifnot(abs(A %*% V - V %*% diag(lam)) < Eps, .... [TRUNCATED] > Ceigenok <- function(A, E, Eps =

Hi all, Can some one tell me the difference between the following two formulas? 1. epiG.rf <-randomForest(gamma~.,data=data, na.action = na.fail,ntree = 300,xtest = NULL, ytest = NULL,replace = T, proximity =F) 2.epiG.rf <-randomForest(gamma~.,data=data, na.action = na.fail,ntree = 300,xtest = NULL, ytest = NULL,replace = T, proximity =F) [[alternative HTML version deleted]]

Dear R-devel, Apologies for bothering y'all with this seemingly perennial question. A user reported problem with my most recent version of randomForest (4.4-1), and I was able to reproduce it with his data with R-2.0.0 patched (2004-10-24) on WinXP Pro. The problem is that it crashes R on Windows. However, it does not happen on Linux (tried SUSE ES8 on our Opterons and Quantian on my

Sir, This query is related to randomForest regression using R. I have a dataset called qsar.arff which I use as my training set and then I run the following function - rf=randomForest(x=train,y=trainy,xtest=train,ytest=trainy,ntree=500) where train is a matrix of predictors without the column to be predicted(the target column), trainy is the target column.I feed the same data

Dear all, Has anyone seen the same problem? I tried compiling R-1.9.0 alpha (2004-03-16) on our Opteron box running SUSE Linux ES8. I ran: ./configure --enable-R-shlib --with-blas=goto and got: Source directory: . Installation directory: /usr/local C compiler: gcc -m64 -O2 -g -msse2 -march=k8 -Wall --pedantic C++ compiler: g++ -m64 -O2 -g

Hi, here are three results of random forest (version 4.0-1). The results seem to be more or less the same which is strange because I changed the classwt. I hoped that for example classwt=c(0.45,0.1,0.45) would result in fewer cases classified as class 2. Did I understand something wrong? Christian x1rf <- randomForest(x=as.data.frame(mfilters[cvtrain,]),