similar to: help track a segmentation fault

Hi, R v2.1.1 patched (2005-05-26) for Windows crashes. The sympotoms are like "memory leakage". The patched version from two days ago crashes at a different position in R CMD check compared to todays version. A "REPRODUCIBLE" EXAMPLE: Unfortunately, I cannot create a minimal code example reproducing the crash, but here is at least a simple way to reproduce it: 1. Make

I'm running some code in R64 on a Mac OS 10.6.8 that calls a C program through the dyn.load() function. The code hangs after several days of computation, and I've having trouble locating the problem. Can anyone decipher this info from the error report, and tell me if this is a problem in R64, or in the C code? Thanks very much in advance. A few hints: "pa" is the name of the C

Hello, It seems the recent Mac OS X 10.4.11 update installed a new libBLAS.dylib in the Accelerate framework which either contains a bug itself or exposes a bug somewhere in R's lapack code on the PowerPC G4 and G5. My build of R 2.6.0 executed the tests/lapack.R code succesfully when I upgraded when 2.6.0 was released. After the OS update, it now crashes. This happens both with the version I

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("

Hello, I don't know if this question ought to go here, or rather on R-devel, so please bear with me. I'm interfacing to R via RPy (rpy.sf.net) and an embedded Python interpreter. This is really quite convenient. I use this approach to calculate the correlation coefficient of 1 independent dataset (vector) with 4 dependent vectors. It'd be nice if that could be done in 4 parallel

Hello, I don't know if this question ought to go here, or rather on R-devel, so please bear with me. I'm interfacing to R via RPy (rpy.sf.net) and an embedded Python interpreter. This is really quite convenient. I use this approach to calculate the correlation coefficient of 1 independent dataset (vector) with 4 dependent vectors. It'd be nice if that could be done in 4 parallel

Hi, I'm currently R porting SF Mersenne Twister algorithm of Matsumoto and Saito. To get the full power of their code, I want to use their fonction fill_array32 which need aligned memory. That is to say I need to use the C function memalign on windows, posix_memalign on linux and classic malloc on Mac OS. In 'writing R extenstion', they recommand to use R_alloc function to

Hi, I'm currently R porting SF Mersenne Twister algorithm of Matsumoto and Saito. To get the full power of their code, I want to use their fonction fill_array32 which need aligned memory. That is to say I need to use the C function memalign on windows, posix_memalign on linux and classic malloc on Mac OS. In 'writing R extenstion', they recommand to use R_alloc function to

Dear listers, a few days ago I asked a question about a problem I had with a C function programmed by myself to be called from R. Thanks to your help, I have been able to look a bit further into it, so now I can be a bit more specific when telling what happens. The fact is that, when my C function finishes its execution (after calling it via the ".C" interface), R seems ok but

Hello, I'm evaluating this expression expression({ for(x in 1:5){ .Call('rh_status','x') }}) a million times from a program with R embedded in it. I have attached reproducible code that crashes with Program received signal SIGSEGV, Segmentation fault. 0x00002b499ca40a6e in R_gc_internal (size_needed=0) at memory.c:1309 1309 FORWARD_NODE(R_PPStack[i]); Current language:

Hi R Developers, Greg is helping me with debugging R on Solaris 10 x64. Please let us know if you have any thoughts or tips that can help us debug this. Thanks, David ************ Using default transfer plist in vector_io: permuting About to write *** caught segfault *** address e8554000, cause 'memory not mapped' Traceback: 1: .External("do_hdf5save", call,

> install.packages("rggobi", repos="http://ggobi.org/r/") Warning in install.packages("rggobi", repos = "http://ggobi.org/r/") : argument 'lib' is missing: using /Users/hadley/Library/R/library/ Reading symbols for shared libraries . done Program received signal EXC_BAD_ACCESS, Could not access memory. Reason: KERN_INVALID_ADDRESS at

After I upgraded my installation of R for OS X (Tiger) to 1.12, it consistently crashes when calling the function acf() [stats lib]. Roberto Osorio

Full_Name: Henrik Bengtsson Version: R v1.7.0 OS: WinXP Pro Submission from: (NULL) (130.235.2.229) There seems to be an upper limit of the number of files (approx 1000 files) a zip-file can contain when unpacking it with zip.unpack(). This results in an R crash. This bug is urgent since install.packages() relies on zip.unpack() and too big packages/bundles won't install with the current R

Hello, I get a segfault when running glmmboot in my own package glmmML. Has happened many time before, but this time I get no hint of where in my C functions the error might be. I give the output below. Can this be an R bug? I suspect it has to do with repeated calls to 'vmmin' like this: for (...){ vmax = vmaxget(); vmmin(*p, b, &Fmin, bfun,

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

Hi, I have a R program that call a C function. I define a vector of pointer as int nLC=3; int pownLC = nLC*nLC double *MatCovExtra[nT+1]; for(k=0;k<K+1;k++) { MatCovExtra[k] = (double*)R_alloc(pownLC, sizeof(double)); } where nT>K. Then i put some values on the vector associated with the pointer: for(k=0;k<K+1;k++) { for(i=0;i<nLC;i++)

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

On 8/6/2009 4:11 PM, Marilyn & Rich Short wrote: > Hello, > > I'm having a problem in R. The R GUI is crashing with a message to > contact Microsoft for the solution. I've contacted Microsoft and they > are of no help. Below is a distilled set of code that will cause the > crash. As you will see, there are two do-loops within which is a "load" >

Hi Folks, Mac OS 10.4.4 R 2.2.1(2005-12-20 r36812) Hmisc 3.0-10 acepack 1.3-2.2 I had R crashes while running areg.boot in Hmisc (see old message below), but now I realize that the problem appears to be in the avas function in acepack. I tried running running the avas example (in acepack package), and got an immediate crash. Any thoughts? The Apple crash report (from R GUI crash) follows.