similar to: "Invalid character 32" problem with Pager??

On Thu, Jan 15, 2015 at 3:55 PM, Michael Lawrence <lawrence.michael at gene.com> wrote: > Just wanted to start a discussion on whether R could ship with more > appropriate GC parameters. I've been doing a number of similar measurements, and have come to the same conclusion. R is currently very conservative about memory usage, and this leads to unnecessarily poor performance on

>>>>> Peter Haverty <haverty.peter at gene.com> >>>>> on Mon, 19 Jan 2015 08:50:08 -0800 writes: > Hi All, This is a very important issue. It would be very > sad to leave most users unaware of a free speedup of this > size. These options don't appear in the R --help > output. They really should be added there. Indeed,

[RFC = Request for Comments] { Yes, the documentation for .Renviron is really not there (but the FAQ...); the rest is in ?Startup } In R's Startup (on Unix only??) {unless --no-environ is specified} ~/.Renviron (if there) is read as an 'sh' script before R is called, then R looks ((for the site-wide Rprofile and then)) for .Rprofile in the current directory and then for

Hi All, This is a very important issue. It would be very sad to leave most users unaware of a free speedup of this size. These options don't appear in the R --help output. They really should be added there. Additionally, if the garbage collector is working very hard, might it emit a note about better setting for these variables? It's not really my place to comment on design philosophy,

For some of my packages I am getting a segmentation fault in Linux when I use R CMD check. (Using R 1.0.1) The segmentation fault does not happen in Solaris and in some cases it does not happen in Linux if I set R_NSIZE and R_VSIZE much higher than I need in Solaris. Should I expect a segmentation fault if there is not enough memory for R CMD check, or are these unrelated? Paul Gilbert

Just wanted to start a discussion on whether R could ship with more appropriate GC parameters. Right now, loading the recommended package Matrix leads to: > library(Matrix) > gc() used (Mb) gc trigger (Mb) max used (Mb) Ncells 1076796 57.6 1368491 73.1 1198505 64.1 Vcells 1671329 12.8 2685683 20.5 1932418 14.8 Results may vary, but here R needed 64MB of N cells and 15MB

Dear R users we're having a problem reading a largish data file using read.table(). The file consists of 175000 lines of 4 floating pt numbers. Here's what happens: > dat_read.table('sst.dat') Error: memory exhausted (This is line 358 of src/main/memory.c). Cutting down the file to around 15000 lines allows read.table() to work OK. I edited the memory limits in Platform.h

Hi all, How do people do non-linear constrained maximization in R? If in C, are there any packages people would recommend as being particularly easy to interface/hack to work with R? And if not, does anyone want me to? -- Elliot Williams (ewilliams at ucsd.edu) Economics Department, UC San Diego -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing

Hi all, Just a random shot in the dark. Does anyone have/know of a function for the CDF of a generalized error dist? -- Elliot Williams (ewilliams at ucsd.edu) Economics Department, UC San Diego -------------- next part -------------- An embedded message was scrubbed... From: Elliot Williams <ewilliams at ucsd.edu> Subject: [R] Generalized Error Distribution (Exponential Power) CDF?

Hi, I'm not sure this is a bug, so I thought I'd bounce it off the help group first. I had a dataset which I was subsetting, and occasionally I get an empty subset. If I don't check for emptiness and go straight to a which.min call on the subset, the program gets a big negative number back. One-line Example: > which.max(NULL) [1] -2147483647 This caused an indexing

When I use the -v I can modify the size of the heap, as assessed by gc(), but the -n key seems to be without effect ? On a machine with 48 mB ram I can load the libraries without problem, but on my own 36 mB ram machine, I get dynload problems with the larger, eg survival4. Any suggestions ? Troels -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list

When I use the -v I can modify the size of the heap, as assessed by gc(), but the -n key seems to be without effect ? On a machine with 48 mB ram I can load the libraries without problem, but on my own 36 mB ram machine, I get dynload problems with the larger, eg survival4. Any suggestions ? Troels -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list

This example from the INSTALL help seems to be broken in R 0.90.1 (on Solaris): gilp/dse : R CMD check --help Usage: R CMD check [options] [-l lib] pkg_1 ... pkg_n I'm trying to figure out how to request more nsize and vsize when using R CMD check. Paul Gilbert -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-devel mailing list -- Read

A pre-release of R-0.64.1 for Windows is available at CRAN/bin/windows/windows-NT/pre-0.64.1. Since there are a lot of Windows specific changes (see below for a list), we hope that many Windows users of R will test this version and make comments. REMARK: I am posting this message on r-help hoping to reach a larger number of Windows users. But, please, replay or directly to Brian D. Ripley

Martin M has suggested I widen this discussion to R-devel, and > I agree that we should increase them, > but I'm not sure at all about the amount. > > The default could even depend on the architecture (via "./configure").. Views, please. ------------- Begin Forwarded Message ------------- Is is not time we increased the defaults a bit? As the base gets bigger I hit

Hi all, I keep running into a small problem in my programming, and I'm sure there's an elegant way around it... I often want to use apply() on a matrix with a variable number of columns. It works just fine unless the number of columns is one, in which case the matrix becomes a vector, and apply() complains. Example below: ----------------------------- a.matrix <- matrix(rnorm(6),

Dear R people, I wonder if some kind person can tell me the correct syntax to set the R_VSIZE environmental variable. I tried R_VSIZE = 10M in ~/.Renviron and also export R_VSIZE = 10M. These don't seem to work. I scrounged around looking for details about this, couldn't find any, got fed up. Faheem.

Full_Name: Laurent Gautier Version: 0.65.0 OS: mips SGI-Irix 6.5 Submission from: (NULL) (195.110.4.98) Using R through emacs with ess5.1.8, I cannot set R workspace (--vsize and --nsize). So far I was using R0.64.2 without such a problem. I am aware my bug report is a bit light, but just let me know if anything I could do with my R and emacs would be of any help for\ specifying better what is

When doing repeated regressions on large data sets, I'm finding that the time spent on garbage collection often exceeds the time spent on the regression itself. Consider this test program which I'm running on an Intel Haswell i7-4470 processor under Linux 3.13 using R 3.1.2 compiled with ICPC 14.1: nate at haswell:~$ cat > gc.R library(speedglm) createData <- function(n) {

Hi, The Gnome version now compiles, and it should also be working (at least as much as it ever has). I've changed Makefile.in to the new system, which is very cool. What I want to work on now is: - Graphics. I want to move to the Gnome canvas for this, which should be reasonably easy. This will give us rotated text (which I never got going properly before) and the option for