similar to: printing from graphics window in R-1.5.0 on WinNT

Dear R-help, (This is the first time I tried compiling 1.6.x from source on WinNT4, so please bear with me...) I tried following the instruction in src/gnuwin32/INSTALL as closely as I could, but encounter the following errors at the make step. Can some kind soul please help? I'm using pcre-3.9 and MinGW-2.0.0-3. I checked and libRpcre.a _is_ in src/extra/pcre. TIA, Andy ... gcc

Dear R-help, I was able to build R-1.5.0 on WinNT w/o problem (actually it seems easier than previous version). However, I encountered problem when trying to compile the recommended package foreign: make: Entering directory `/cygdrive/g/rbuild/R-1.5.0/src/gnuwin32' make DLLNM= FLIBS="-lg2c -lRblas" BUILD=MINGW \ -C G:/Rbuild/R-1.5.0-recommended/R.INSTALL/foreign PKG=foreign

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

Sorry for the cross-post: not sure whether it's Rterm or ESS (or something else?)... I'm running R (1.5.0 patched 2002-05-09, compiled from source on WinNT4) under ESS 5.1.21 with XEmacs 21.4.6. When I plotted a graph on the windows() device, and then use the menu in the R graphics window to print the graph, the printer selection dialog box does not show up until I go to the *R* buffer

(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:

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Hello all - As I progress in R I am trying to automate functions I would have normally farmed out to Excel, SPSS or Statistica. Single factor anova is one of them. For example, a dataset from NIST StRD (http://www.itl.nist.gov/div898/strd/anova/AtmWtAg.html) has two groups: 1 2 107.8681568 107.8681079 107.8681465 107.8681344

R 1.7.1 on Windows XP The "normal Q-Q plot" produced by plot.lm() mislabels points when the model is fitted using na.action=na.exclude. Example: x <- 1:50 y <- x + rnorm(50) y[c(5,10,15)] <- NA # insert some NA's y[40] <- 50 # add an outlier plot(lm(y ~ x, na.action=na.omit)) # outlier correctly labeled in all # four plots

Hi all, I am trying to play around with the randomForest function for classification. I know its performance is great. I am currently using the default options. It has many options. How do I further tweak the options so that I can make its performance even better? What are the options that are mostly used? Thanks a lot! M [[alternative HTML version deleted]]

> From: mikalzet at libero.it [mailto:mikalzet at libero.it] > > On Thu, 2 May 2002, Liaw, Andy wrote: > > > I've installed Netscape 6.2.2 on Mdk82, but have not had > much luck with > > help.start() (R-1.5.0 compiled from source). > > > > When I do help.start(), it just starts up netscape with the > default home > > page, rather than the R

Can someone in R Core please take a look at the attached patches to RSiteSearch() and its help page? I guess Jon is planning some changes on his site. Jon: could you elaborate on what the patch does? Best, Andy Notice: This e-mail message, together with any attachments, contains information of Merck & Co., Inc. (One Merck Drive, Whitehouse Station, New Jersey, USA 08889), and/or its

Dear R-help, Has anyone experienced similar problem? On WinNT4(sp6), running Rgui from 1.7.0, when try to change directory to some network drive using the "File / Change dir..." menu, Rgui gets a visit by Dr. Watson. If I first change dir to a local drive, then again to a network drive, it works fine. It also works fine with setwd() from the command prompt. Best, Andy Andy I. Liaw,

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

Hello I would like to see the algorithm that R uses to generate density functions for several distributions (i.e. Normal,Weibull, etc). I tried: >dnorm function (x, mean = 0, sd = 1, log = FALSE) .Internal(dnorm(x, mean, sd, log)) <environment: namespace:stats> How can I see the code used for densities? Thanks!

I try to use ?randomForest to find variables that are the most important to divide my dataset (continuous, categorical variables) in two given groups. But when I plot the outliers: plot(outlier(FemMalSex_NAavoid88.rf33, cls=FemMalSex_NAavoid88$Sex), type="h",col=c("red","green")[as.numeric(FemMalSex_NAavoid88$Sex)]) it seems to me that all my values appear as

Hi all, I am using the "svm" command in the e1071 package. Does it have an automatic way of setting the "cost" parameter? I changed a few values for the "cost" parameter but I hope there is a systematic way of obtaining the best "cost" value. I noticed that there is a "cross" (Cross validation) parameter in the "svm" function. But I

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-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

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

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