similar to: KEGGSOAP installation error

Hello, I try to install pbdMPI. Compilation successful, but load fails with segfault. Is anyone can help me? R version 3.0.0 pbdMPI version 0.1-6 Intel compiler version 13.1.1 OpenMPI version 1.6.4-1 CPU Intel x86_64 # R CMD INSTALL pbdMPI_0.1-6.tar.gz .. .... checking for gcc... icc -std=gnu99 checking whether the C compiler works... yes checking for C compiler default output file name...

Hi, I downloaded 2.8.1 and tried to compile it using gcc 3.4.6. (simple install, just ./configure, make, make check, make install) I found that it compiled and went through the tests fine. The foreign library, however, that seems to be segfaulting on me (see output below). I did see an old posting about a similar problem, but there was no resolution. Have other people experienced this at all?

Dear R List, I encountered a serious problem regarding the registration of ".C" when following the documentation "Writing R Extensions" that leads to a segmentation fault (tested on windows and mac os x). The registration mechanism for ".C" routines via R_registerRoutines and the R_CMethodDef structure has been enhanced recently with the addition of two fields, one

I have an lapply function call that I want to parallelize. Below is a very simplified version of the code: url_base <- "https://cloud.r-project.org/src/contrib/" files <- c("A3_1.0.0.tar.gz", "ABC.RAP_0.9.0.tar.gz") res <- parallel::mclapply(files, function(s) download.file(paste0(url_base, s), s)) Instead of download a couple of files in parallel, I get a

R Help List: Just curious if anyone has successfully built R on a SPARC platform running Sun Solaris 10 using the latest Sun Studio 12 set of compilers. If so, I would be interested in the compile flags that you used. I have tried several different builds of version 2.5.1, 2.6.0, and 2.6.1 using various different compile flags and I am able to compile and check, but for whatever reason, the

Hello all, (Thank for your reply) I have a web-application in Apache Tomcat, when i start R in this application, I used packe RSJava Code ROmegahatInterpreter interp; String [] rargs = {"--no-save"}; REvaluator e; interp = new ROmegahatInterpreter ( ROmegahatInterpreter.fixArgs(rargs),false ); e =new REvaluator (); Errors ================ R version 2.10.1 (2009-12-14)

I have an R program I am attempting to use to generate some SVGs. I've been using the cairoDevice library. When running a session not connected to an X session (like if I'm sshed in), attempting "library(cairoDevice)" causes: *** caught segfault *** address 0x8, cause 'memory not mapped' Traceback: 1: .C("R_gtk_setEventHandler", PACKAGE =

I got the following after running succesfully through this loop 28 million times... the loop opens text files in a directory and inserts line by line into a database... *** caught segfault *** address 0xc0000010, cause 'memory not mapped' Traceback: 1: .getGeneric(f, where, package) 2: getGeneric("coerce", where = where) 3: as(obj, "integer") 4:

Hi all, I'm trying to use the package read.table within a foreach loop. I'm grabbing 500M rows of data at a time from two different files and then doing an aggregate/tapply like function in read.table after that. I had planned on doing a foreach loop 39 times at once for the 39 files I have, but obviously that won't work until I figure out why the segfault is occurring. The

Dear R community, I am using the R package `interval` in order to perform some modelling tests of the NPMLE convergence in the case of censoring. So all I am doing is drawing a sample from exponential distribution, making it a censored sample and computing the NPMLE of its distribution function. But when run on Linux Calculate 10.4 the program keeps crashing and reporting a segmentation fault

Hello R Community, I've been run the following codes. However, I've been getting an unusual segfault that I'm unable to trace its origin. Please give me a light to decipher the "caught segfault" Thanks for you attention. Bernardo. > options(STERM='iESS', editor='emacsclient') > rm(list = ls()) > > source("fgenIGLD.R") #RNG

Hello R-sig-debian and (hopefully) Dirk: On Debian wheezy, I have the R packaging that CRAN (you) provide. I run into a little trouble while trying to fiddle with alternative BLAS. I know you and I went around on this last year and I think perhaps I've found something wrong in the framework, or I've just done something wrong. I installed the packages openblas-base and openblas-dev, and

I just installed Rmpi on my 64-bit Ubuntu Hardy Heron OS and using the following without errors: "R CMD INSTALL Rmpi_0.5-5.tar.gz --configure-args=--with-mpi=/usr/lib64/openmpi" Immediately at library(Rmpi) I get the segfault displayed in my complete output below. My first thought is that perhaps I used the wrong library for openmpi, but with my 64 bit install it seemed like a logical

Hi, I have some surprising trouble installing the gputools package. This is a linux box running Fedora with an Nvidia GeForce GTX 260 card and R 2.12.1 I had gputools running on it for the past several months. Wanting to update to the newest version, I simply executed install.packages("gputools") from within R. This should mean that the problem isn't in the hardware or OS. Errors

Hi All, I'm still actively researching this problem (reading R-ext manual), but I hoped that I might be able to get some additional insight from the list given that I'm fairly new at writing R extension code. Problem: I have some fairly simple code (.Call interface) that makes a call to another shared library, which, in turn, calls routines in an HDF5 shared library. The good news

Thanks for the report, but unfortunately I cannot reproduce on my system (either macOS nor Linux, from the command line) to debug. Did you run this in the command line version of R? I would not be surprised to see such a crash if executed from a multi-threaded application, say from some GUI or frontend that runs multiple threads, or from some other R session where a third party library

Hi, <This issue was previously posted in R-help, but advised to post here as a more relevant group> I was trying to install RQuantLib in my Ubuntu machine which failed with below information : *> install.packages('RQuantLib', repos='http://cran.rstudio.com/ <http://cran.rstudio.com/>', INSTALL_opts = c('--no-lock'))* *Installing package into

This code actually happens to work for me on macOS, but I think in general you cannot rely on performing HTTP requests in fork clusters, i.e. with mclapply(). Fork clusters create worker processes by forking the R process and then _not_ executing another R binary. (Which is often convenient, because the new processes will inherit the memory image of the parent process.) Fork without exec is not

I recently noticed a change between R-3.3.3 and R-3.4.0 in the definition of the R_CMethodDef struct. typedef struct { const char *name; DL_FUNC fun; int numArgs; - R_NativePrimitiveArgType *types; - R_NativeArgStyle *styles; - } R_CMethodDef; I suspect this is the reason that packages installed by R-3.4.0 and loaded into R-3.3.3 will crash the

I am having difficulty installing the arm package and would be grateful if anyone could give some advice. I have updated my computer to a Mac OS X version 10.5.5 ( processor: 2 x 2.8 GHz Quad-Core Intel Xeon) and I have downloaded R version 2.8.0 I have downloaded the package arm, but when i try to install it, the following message is given in R: Loading required package: MASS Loading