search for: do_subassigne

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2019 Feb 27
2
Intermittent crashes with inset `[<-` command
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
2019 Feb 27
0
Intermittent crashes with inset `[<-` command
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
2019 Feb 26
8
Intermittent crashes with inset `[<-` command
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
1999 Mar 02
0
[R] zero-offset matrices (PR#132)
...ix... To tickle the bug: "[<-.zoffset" <- function(x, i, j, value) { if(!missing(i) && is.numeric(i)) i <- i+1 if(!missing(j) && is.numeric(j)) j <- j+1 NextMethod("[<-") } m<-matrix(1:4,2,2) m[0,]<-4:5 Probably, set a breakpoint in do_subassigne and step through it. -- O__ ---- Peter Dalgaard Blegdamsvej 3 c/ /'_ --- Dept. of Biostatistics 2200 Cph. N (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~~~~~~~~~ - (p.dalgaard@biostat.ku.dk) FAX: (+45) 35327907 -.-.-.-.-.-.-...
2002 Aug 13
1
Q: replacing elements in an array
Dear all, I have a question about the way the replacement of elements in an array works in R (having a slight idea of the answer), and a question about the way to achieve my goals. If I have a 3 ways-array called 'a', the command a[1, , ] <- rnorm(10) # assumes the size matches will result in having the whole object 'a' copied (since arrays are just 'vectors with