similar to: [tryExcept] New try Function

Hi Emil, First, thanks for the response. As you mentioned, a lot of times tryCatch does the work, as you can return a value. However, sometimes it is useful to assign several variables when an error occurs. You could do it with <<-, but I prefer to reduce it's usage unless completely necessary. I guess that the attachment was missed in the moderation. Here it is the function:

Hi Ernest, To start: I don't see an attachment, I think they're not (always) allowed on this mailing-list. If you want to send something, text is your safest bet. But regarding the issue of tryCatch: I think you're not fully using what it already can do. In almost all circumstances I've encountered the following works fine: res <- tryCatch(expr, error = function(cond) { # a

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...

Hello, I'm trying to install KEGGSOAP with bioconductor but i'm facing this problem: /> biocLite("KEGGSOAP") BioC_mirror: http://bioconductor.org Using R version 2.15, BiocInstaller version 1.4.4. Installing package(s) 'KEGGSOAP' trying URL 'http://www.bioconductor.org/packages/2.10/bioc/src/contrib/KEGGSOAP_1.30.0.tar.gz' Content type

I am running R 3.5.1 on ubuntu 18.04, installed via apt. When I run R from the bash prompt, I get (reinstalling r-base doesn't help) > devtools::install_github("goranbrostrom/eha", build_vignettes = TRUE) *** caught segfault *** address 0x68456, cause 'memory not mapped' Traceback: 1: dyn.load(file, DLLpath = DLLpath, ...) 2: library.dynam(lib, package,

Hi, I'm using R-2.12 on a linux 64bit machine. When I run a chunk of code inside a foreach() %do% { ...} or %dopar% {...} (with doMC backend) I keep getting a segfault. Running the *same* code within lapply(something, function(x) ... ) doesn't result in any segfaults. I'll paste the output below, but I'm not sure it would be helpful. I'm more curious how to go about smoking

i wonder about the following examples showing incoherence in how type conversions are done in r: x = TRUE x[2] = as.raw(1) # Error in x[2] = as.raw(1) : # incompatible types (from raw to logical) in subassignment type fix it seems that there is an attempt to coerce the raw value to logical here, which fails, even though as.logical(as.raw(1)) # TRUE likewise, x[2]

i wonder about the following examples showing incoherence in how type conversions are done in r: x = TRUE x[2] = as.raw(1) # Error in x[2] = as.raw(1) : # incompatible types (from raw to logical) in subassignment type fix it seems that there is an attempt to coerce the raw value to logical here, which fails, even though as.logical(as.raw(1)) # TRUE likewise, x[2]

Full_Name: Wacek Kusnierczyk Version: 2.8.0 and 2.10.0 r48163 OS: Ubuntu 8.04 Linux 32bit Submission from: (NULL) (129.241.198.172) the following code illustrates a problem with sprintf which consistently causes a segfault when applied to certain type of arguments. it also shows inconsistent consequences of the segfault: (e = tryCatch(stop(), error=identity)) # e is an error object

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?

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

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

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)

Hola Quiero ejecutar R desde Jupyter Lab y me encuentro con un error al invocar la librería dplyr. Este error no aparece cuando ejecuto RStudio. La sesión de R en jupyter lab: sessionInfo() R version 3.6.1 (2019-07-05) Platform: x86_64-w64-mingw32/x64 (64-bit) Running under: Windows 10 x64 (build 14393) Matrix products: default locale: [1] LC_COLLATE=Spanish_Chile.1252

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'm using caret to assess classifier performance (and it's great!). However, I've found that my results differ between R2.* and R3.* - reported accuracies are reduced dramatically. I suspect that a code change to kernlab ksvm may be responsible (see version 5.16-24 here: http://cran.r-project.org/web/packages/caret/news.html). I get very different results between caret_5.15-61 +

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 am resubmitting this bug report but with additional information. I am running this with windows 10: w64-mingw32 with R Under development (unstable) (2017-12-04 r73829). I build 'httk' from the command prompt using 'R CMD build httk' after installing the required packages. Then when the vignettes are being created, it crashes. Today I installed the latest versions of Rtools,

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: