similar to: ReleaseLargeFreeVectors SIGSEGV (?) (PR#1008)

This behaviour is confirmed for RH70, RH62, Debian 2.2 on 3 different Pentium-class i386. I've checked back and package ann_0.2-2 works on 1.1.1, but fails with seg. faults on 1.2.0 (ann_0.2-2.pre3.tar.gz to accommodate the change in Makeconf) and subsequent (1.2.0 checked today on RH62 with gcc 2.95.3 19991030 (prerelease)). It is most likely that 1.1.1 was too forgiving, and that better

It looks as though the problem isn't in R - I provoked a SIGSEGV under R 1.1.1 on RH62: > for (i in 1:100) an1 <- ann(cbind(runif(1000), runif(1000)), k = 4) > for (i in 1:100) an1 <- ann(cbind(runif(1001), runif(1001)), k = 4) Program received signal SIGSEGV, Segmentation fault. 0x40111109 in chunk_free (ar_ptr=0x401a5d40, p=0x8849a30) at malloc.c:3111 3111 malloc.c: No such

Dear list, this is not a problem report -- I would like to ask for advise what the recommended and safe way to perform the following is or what problems might arise in doing it differently. The question is: What is the recommended way of providing a default value in a prototype statement for a derived class for a slot provided from a parent class? I have first consulted the methods package

kiotoqq wrote > I want to add a shorter column to my dataset with the function "merge", > it > should be filled with NAs wo be as long as the other colums, like this: > > id age > 9 46 > 8 56 > 6 52 > 5 NA > 4 NA > 3 NA > 1 NA > > i did this: > pa1 <- merge(pa1, an1, by="mergeid") > > and it says

Hi, this might be basic but can't get it to work and it is hampering my R usage: #the loop is checking variance of rows, and cutting out rows with var>numVec[i] #I define outMat as object names I want to output to (does this make sense? how else #can I define sequential numbered output?) #numVec is numbers I use in the loop head(Counts) AN1 AN2 AN3 AN4 var GENE1

Hi, I want to set up a dynamic link between a library e.g. myLibrary.a and a C++ file myProgram.cc to use in R. Is this possible? If so how does one go about doing it? Any help will be greatly appreciated. Cheers, Sam.

Valgrind (without gctorture) reports memory misuse: % R --debugger=valgrind --debugger-args="--leak-check=full --num-callers=18" ... > x <- 1:200000 > y <- rep(letters[1:5], length(x) / 5L) > for (i in 1:1000) { + # x[y == 'a'] <- x[y == 'b'] + x <- `[<-`(x, y == 'a', x[y == 'b']) + cat(i, '') + } 1 2 3 4 5 6 7 8 9 10

This is a followup to the R-help thread, "Error: STRING_ELT() can only be applied to a 'character vector', not a 'builtin'". Thanks to Prof. Brian Ripley for suggesting the use of gctorture and valgrind. I am getting segmentation faults that appear to come from a memory leak. I now have a reproducible example (below). It requires the "g.data" package

On an azure centos VM, I can reproduce this bug which reports either: *** caught segfault *** address 0x70000006a, cause 'memory not mapped' (crash) Or incompatible types (from builtin to integer) in subassignment type fix (no crash) Like Gabriel, I could not reproduce the bug on a mac laptop. Both R versions 3.5.1. Travers On Wed, Feb 27, 2019 at 9:08 AM William Dunlap via R-devel

The following code crashes after about 300 iterations on my?x86_64-w64-mingw32?machine on R 3.5.2 --vanilla.?? Others have duplicated this (see?https://github.com/tidyverse/magrittr/issues/190?if necessary), but I don't know how machine/OS-dependent it may be.?? If it doesn't crash for you, please try increasing the length of the x vector. Substituting the commented-out line for the one

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

Release of revised version of R/GRASS GIS raster and sites data interface. The latest version of the R contributed package "GRASS", release 0.1-6, may be downloaded from CRAN (cran.r-project.org) - contributed packaged section, "Devel" directory, file: GRASS_0.1-6.tar.gz. It may also be downloaded from ftp://reclus.nhh.no/pub/R/GRASS_0.1-6.tar.gz. This version is intended for

I believe there is a memory leak in isoreg in the current version of R, as I believe the following shows > gc() used (Mb) gc trigger (Mb) max used (Mb) Ncells 120405 3.3 350000 9.4 350000 9.4 Vcells 78639 0.6 786432 6.0 392463 3.0 > for(k in 1:100) { + + y <- runif(10000) + isoreg(x,y) + } > rm(x) > rm(y) > gc() used (Mb) gc

I've run into a problem that I hope has an obvious solution. The sp package uses S4 classes and has a NAMESPACE, and when installed without package versions, runs OK, passes R CMD check, and so on. A user reported that he installed it --with-package-versions, and that from then on it would fail at first use of a class defined in the package. I've reconstructed the problem in a

I have been running into difficulties with dispatching on an S4 class defined in the SparseM package, when the method calls are inside a function passed as the f= argument to optimize() in functions in the spdep package. The S4 methods are typically defined as: setMethod("det","matrix.csr", function(x, ...) det(chol(x))^2) that is within setMethod() rather than by name before

I have a data set of roughly 700MB which during processing grows up to 2G ( I'm using a 4G linux box). After the work is done I clean up (rm()) and the state is returned to 700MB. Yet I find I cannot run the same routine again as it claims to not be able to allocate memory even though gcinfo() claims there is 1.1G left. At the start of the second time ===============================

I have a data set of roughly 700MB which during processing grows up to 2G ( I'm using a 4G linux box). After the work is done I clean up (rm()) and the state is returned to 700MB. Yet I find I cannot run the same routine again as it claims to not be able to allocate memory even though gcinfo() claims there is 1.1G left. At the start of the second time ===============================

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("

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Hi all, I have a very high dimensional data and apparently there are several columns that contain similar information (some columns are equal). I want to form a matrix/data frame consisting of unique columns. Does anyone have an efficient way of getting out these columns. A small section of the data frame is given below. Thanks for helping. Stephen. > newdata [,1] [,2] [,3] [,4] [,5]