similar to: Run out of memory

Dear sir, I am using R in windows. I want to extend R Memory size. I use the following command, but unfortunately it doesn't work. -- vsize=15M --nsize=1000K Your help is appreciated. Thanks, Esmail Amiri. __________________________________________________ Do You Yahoo!? Get email at your own domain with Yahoo! Mail. http://personal.mail.yahoo.com/

I'm sure this question is answered in the help file, but likely I'm not reading it corrected. Running windows version 1.00.0, loading a table (35K rows by 10 columns) from Excel using the read.table command I receive the following message. Error: cons memory (350000 cells) exhausted See "help(Memory)" on how to increase the number of cons cells. >From reading the

Hello- Since my data bank in SPSS has > 40 variables, I think that R crashes because of the memory limit. In Maindonald?s UsingR text, on pg 3, there?s a footnote that reads: "If you want larger memory space than the default you may want a target akin to <path to binary>\rw091\bin\rgui.exe --visize 30M --nsize 1000K [The default is --vsize 6M --nsize 250K

Hi everyone, I have a problem that some people may have already encountered but i did not find the solution yet. As I use R to simulate several arrays of data, my workspace is now 35Mb big and I cannot launch R with it. An "xdr real data read error occured" and R tells me to delete .RData or increase memory. I WON'T delete this file and changing the max-nsize to 40600k did not

Dear all, I don't get it: First of all, the help doesn't say what are the memory limits of R. Say, what's the max heap size for instance ???? Secondly, I invoke R with the following commands each time: rgui --vsize 30M --nsize 1000K rgui --vsize 30M --nsize 2000K rgui --vsize 30M --nsize 3000K rgui --vsize 30M --nsize 4000K I try to open a matrix 8000x8000 by issuing

Sorry, but I lost this thread, so I sending this as a new message. This is really a follow-up to a post from a couple days ago saying that fisher.test from the ctest library crashed on the following data set: > T [,1] [,2] [1,] 2 1 [2,] 2 1 [3,] 4 0 [4,] 8 0 [5,] 6 0 [6,] 0 0 [7,] 1 0 [8,] 1 1 [9,] 7 1 [10,] 8 2 [11,]

Hi, I have recently installed R-1.2.2 for windows (16MB RAM, P-166) and I getting the following message after processing my data (6 variables and 1200 observations): >Error: cannot allocate vector of size 4 Kb >In addition: Warning message: >Reached total allocation of 15Mb: see help(memory.size) Then, the program close. With the last version, 1.1.1 (I think) I didn't have this

Hello R-community, It's been a week now that I am struggling with the implementation of a cox model in R. I have 80 cancer patients, so 80 time measurements and 80 relapse or no measurements (respective to censor, 1 if relapsed over the examined period, 0 if not). My microarray data contain around 18000 genes. So I have the expressions of 18000 genes in each of the 80 tumors (matrix

Dear R users, I have noticed that my R startup is extremely slow. It takes almost 3 minutes from "double-click" to R prompt. I have been running R-0.64.1 till recently and it took about 30 sec. I still have access to R-0.64.1. When I started it up, it took about 25 sec. Can anyone tell me if this is a bug in R or a problem with my machine? Note: This is after bootup with R being the

Hello, I'm using a 64bit Linux with 16GB of RAM. I'd like to limit the memory that the R process can use so I'm trying to use --max-vsize switch. However, it is seems that I can't enforce a limit above 2GB. shlomo at hippo:~$ uname -a Linux hippo 2.6.24-16-generic #1 SMP Thu Apr 10 12:47:45 UTC 2008 x86_64 GNU/Linux This WORKS: -------------------- shlomo at hippo:~$ R

Is there a way to efficiently read large datasets directly into a matrix byrow? I know data.frame, but for large datasets it doesn't efficiently work, also if I increase the cons memory. R --nsize 1000k --vsize 90M ... > x<-read.table("pendler.luft.txt") Error: cons memory (1000000 cells) exhausted See "help(Memory)" on how to increase the number of cons

>I use WinNT. You have to "launch" R from a DOS-shell window; you 1st >change to the directory where you have RGui.exe, then type : > Rgui --vsize 15M --nsize 1000k > >and R opens with increased memore size. It works here with my NT box, and >will probably do with Win95 (though I think that the DOS-shells are not >strictly similar in both OSs but this may not be a

My group is working with datasets between 100 Mb and 1 GB in size, using multiple log ins. From the documentation, it appears that vsize is limited to 2^30-1, which tends to prove too restrictive for our use. When we drop that restriction (set vsize = NA) we end up hanging the server, which requires a restart. Is there any way to increase the memory limits on R while keeping our jobs from

I am running R version ??? under Redhat 5.2. It seems as though the --nsize object has no effct on the size of the allocated Ncells as determined using gc(). Yes, I have that much data.... That is if I envoke R with R --vsize 100 --nsize 5000000 then type gc() I get free total Ncells 92202 200000 Vcells 12928414 13107200 Thanks Tony Long Ecology and Evolutionary Biology Steinhaus

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

Dear R-ers, somehow it is not possible to increase nsize to more than 20000k. When I specify e.g. > R --vsize=10M --nsize=21000K the result is: free total (Mb) Ncells 99658 350000 6.7 Vcells 1219173 1310720 10.0 Maybe I have overlooked s.th.... Marcus -- +------------------------------------------------------- | Marcus Eger | E-Mail: eger.m at gmx.de (NEW) |

Hi, somtimes i have trivial recodings like this: > dim(tt) [1] 252382 98 system.time(for(i in 2:length(tt)){ tt[,i][is.na(tt[,i])] <- 0 }) ...and a win2000(XP2000+,1GB) machine makes it in several minutes, but my linux notebook (XP2.6GHZ,512MB) don't get success after some hours. I recognize that the cpu load is most time relative small, but the hardisk

Let me begin stating that I read all help files and faq's on the subject matter (there aren't more than about a dozen) but either did not find solutions or found them not to work. Here is the issue. I am trying to run a spatial regression on a medium-sized dataset. Part of the functions in the spdep package I use require me to allocate a vector of 1.1 Gb (mine is not a spatial SIG

I am trying to translate code from S-PLUS to R and R really struggles! After starting R with the foll. R --vsize 50M --nsize 6M --no-restore on a 400 MHz Pentium with 192 MB of memory running Linux (RH 6.2), I run a function that essentially picks up an external dataset with 2121 rows and 30 columns and builds a lm() object and also runs step() ... the step() takes forever to run...(takes very

Hi, Is the following command used to increase the memory or any other command when a background R job is run? R --min-vsize=vl --max-vsize=vu --min-nsize=nl --max-nsize=nu --max-ppsize=N source: http://stat.ethz.ch/R-manual/R-patched/library/base/html/Memory.html Thx Carol [[alternative HTML version deleted]]