search for: rf_duplicated

First, thanks to those of you who responded to my previous post about my code that was taking longer and longer to process. After following your suggestions, and I now thinking that the problem was some calls to Rf_duplicate in my C code. So I'm hoping I could get some clarification on what Rf_duplicate actually does. What is the real difference between PROTECT(y=x); and PROTECT (y =

I originally posted this to R-help, but here is probably a better place. I have a rather complex routine which works great in R. Then I bootstrap it. After running a few minutes it typically segfaults, though it happens very randomly. This happens w/ 1.9.0 and 1.9.1 on Fedora1 and a Scyld (RH7.3) system. Traces always point back to routines in src/main/memory.c, though often not the same

The following code results in a seg fault. > sessionInfo() R version 2.6.0 Under development (unstable) (2007-06-21 r42013) x86_64-unknown-linux-gnu locale: LC_CTYPE=en_US;LC_NUMERIC=C;LC_TIME=en_US;LC_COLLATE=en_US;LC_MONETARY=en_US;LC_MESSAGES=en_US;LC_PAPER=en_US;LC_NAME=C;LC_ADDRESS=C;LC_TELEPHONE=C;LC_MEASUREMENT=en_US;LC_IDENTIFICATION=C attached base packages: [1] stats graphics

I'm a novice with gdb but the following is the result of a segfault problem I've been having with 1.2.0. If there is something else I should do to get more useful information at this point, then someone please let me know. Paul Gilbert ______ [5] /home/mfa5/gilp/zzot : R -d gdb GNU gdb 4.17 Copyright 1998 Free Software Foundation, Inc. GDB is free software, covered by the GNU General

If anyone has a few extra CPU cycles to spare, I'd appreciate it if you could verify a problem that I have encountered. Run the code below and tell me if it crashes your R before completion. library(lme4) data(bdf) dump<-sapply( 1:50000, function(i) { fm <- lme(langPOST ~ IQ.ver.cen + avg.IQ.ver.cen, data = bdf, random = ~ IQ.ver.cen | schoolNR); cat("

Generating a model matrix with very large numbers of columns overflows the stack and/or runs very slowly, due to the implementation of TrimRepeats(). This patch modifies it to use Rf_duplicated() to find the duplicates. This makes the running time linear in the number of columns and eliminates the recursive function calls. Thanks -------------- next part -------------- A non-text attachment was scrubbed... Name: stats_model.patch Type: text/x-patch Size: 2182 bytes Desc: not available UR...

Hello, I create a VECSXP(call it A) with size N(~ 5000), i then proceed to fill the elements and find out I don't need to fill more than M (M<< N). Thus if i return A to the user's R code, he/she will see a list of length 5K of which N-M are NULLs. To avoid this, I create a new VECSXP B of length M and /duplicate/ the elements of A. Since I do this often, it appears to be wasteful,

This is a question and maybe an announcement. We've been discussing in the group that it would be nice to have a mechanism for something like "inline" C/C++ function calls in R. I do not want to reinvent the wheel, therefore, if something like that already exists, please give me a hint -- I could not find anything. If not, here is a working solution, please criticise so I could

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 developers: I have just came across an (unexpected to me) behaviour of lists when assigning NULLs to list elements. I understand that a NULL is a valid R object, thus assigning a NULL to a list element should yield exactly the same result as assigning any other object. So I was surprised when assigning a NULL in fact removed the element from the list. Is this an intended behaviour? If

...t;> on Fri, 26 Feb 2016 15:58:20 -0800 writes: > > > Generating a model matrix with very large numbers of > > columns overflows the stack and/or runs very slowly, due > > to the implementation of TrimRepeats(). > > > This patch modifies it to use Rf_duplicated() to find the > > duplicates. This makes the running time linear in the > > number of columns and eliminates the recursive function > > calls. > > Thank you, Karl. > I've committed this (very slightly modified) to R-devel, > > (also after looking fo...

Full_Name: Roger Bivand Version: 1.3.0 OS: GNU/Linux RH6.2, 7.0, Debian 2.2 Submission from: (NULL) (158.37.100.64) I'm working on interfacing ANN: A Library for Approximate Nearest Neighbor Searching (http://www.cs.umd.edu/~mount/ANN/) to R, following up a prototype package I tried in May 2000. ANN is written in C++; my C++ is very weak. Last year I didn't experience any problems with

Hello, is there any one who uses C++ STL classes when programming shared libs for R and has had any problems with STL? In the very simple example below I am constantly getting segfaults when trying to populate the queue. The segfault occurs at what looks like a random index in the loop when pushing another element to the queue. Reproduced on 4 machines. Object x is an Image as in EBImage,

Hi All, I have some questions regarding the R C API. Let's assume I have a function which is defined as follows: R file: myfunc <- function(a, b, ...) .External(Cfun, a, b, ...) C file: SEXP Cfun(SEXP args) { args = CDR(args); SEXP a = CAR(args); args = CDR(args); SEXP b = CAR(args); args = CDR(args); /* continue to do something with remaining arguments in "..."

...oject.org> >>>>> on Fri, 26 Feb 2016 15:58:20 -0800 writes: > Generating a model matrix with very large numbers of > columns overflows the stack and/or runs very slowly, due > to the implementation of TrimRepeats(). > This patch modifies it to use Rf_duplicated() to find the > duplicates. This makes the running time linear in the > number of columns and eliminates the recursive function > calls. Thank you, Karl. I've committed this (very slightly modified) to R-devel, (also after looking for a an example that runs on a non-huge...

Hi, Below I have a mickey-mouse example using Oleg Sklyar's wonderful inline package. The question I have is, how do I return multiple values, say in a list? Inside the C code, I've also calculated 'sum'. How do I return this along with 'res'? Ultimately, I want to return multiple matrix results. Thanks in advance for any code snipplets/advice! Regards, Ken #

dear R developers---I am running a pure R program on the stock binary debian (ubuntu) 64-bit linux distribution, 3.0.1. for identification, 20abb3a1d917bce52a10dd40cb47b82b /usr/lib/R/bin/exec/R 58ebc91f143f752610c8dbe22182f3f3 /usr/lib/libR.so my R program loads 5 big matrices (about 1GB each)and rbind's them, all on a 16GB machine. alas, in one particular run, I am getting a

Hello everyone, I've just attempted to build R-1.4 on Compaq Tru64 (I'll enclose the text from bug.report() from R-1.3.1 at the end.) The relevant part of the log is below. Any ideas? gcc -shared -o methods.so do_substitute_direct.o methods_list_dispatch.o method_meta_data.o slot.o -L/usr/local/lib /usr/ucb/ld: Warning: Unresolved: TYPEOF Rf_error Rf_protect Rf_substitute

Hi Morgan, My solutions might not be the best one(I believe it's not), but it should work for your question. 1. Have you considered Rf_duplicate function? If you want to change the value of `a` and reset it later, you have to have a duplication somewhere for resetting it. Instead of changing the value of `a` directly, why not changing the value of a duplicated `a`? So you do not have to

# Your mailer is set to "none" (default on Windows), # hence we cannot send the bug report directly from R. # Please copy the bug report (after finishing it) to # your favorite email program and send it to # # r-bugs@r-project.org # ###################################################### # The last line of following code produces a segmentation fault: x <- 1:10 f <- gl(5,2)