similar to: increase memory

dear experts, i m very concerned about memory management. would appreciate if you leave me some tips on handling large datasets.. special interset: 1. importing large data from a text file 2. subsequent manipulations in R thanks very much best regards pan yuming -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

dear all, i have a matrix and i dont know how to assign names to this matrix. given v is 100x5 matrix, and label -> c("A","B","C","D","E") idealy, names(v) <- label, but it doesnt work for different length if dimnames(v) <- list(1:nrow(v),label), then names(v) return NULL any smart ways? thanks in advance. best regards pan yuming

hello, everybody, i have several unresolved issues: 1. how to do a matrix transpose? i cant find how to do it in the documentation. 2..suppose i have an object named as lm1 from linear regression, how could i refer to it by paste("lm",1,sep="") ? 3. to save a matrix 100 x 30, how to have a text file with 100 lines and 30 cols, instead of stacking them? thanks. best regards

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]]

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

Help! I've done this before but can't remember how to do it, and can't find any reference to it in the docs I have access to now. I need to increase --vsize (I think), as I'm getting a message when I start my R session "vector heap too small to load data". How does one exactly do this, and what is the default setting? I don't know how much to increase it by. I know

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

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

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

O/S : Solaris 9 R version : 2.2.1 I was getting out of memory errors from R when running a large job, so I've switched to a larger machine with 40G shared memory. I issue the following command when starting R to increase memory available to R: R --save --min-vsize=4G --min-nsize=4G When reading in a file, R responds with "could not allocate vector of size 146Kb." So I'm

I am having a problem using ESS with R. In particular I have large data objects which exceed the 6Mb default heap memory. Outside of ESS I can run R by specifying large values of --vsize and --nsize but I can't figure out how to do this in ESS. Any help would be much appreciated. -- **************************************************** ** Angelo J. Canty **

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

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

hi- If I source the following for(k in seq(1:20)){ x<-runif(20000,min=-500,max=2000) y<-runif(20000,min=-500,max=2500) z<-runif(20000,min=-10,max=10) cat(k,"file",memory.size()) cc<-rainbow(11) plot(x,y,asp=1i,xlim=c(-500,2000),ylim=c(-500,2500),main=k,cex=1.0) for(i in seq(-10,10,2)){ points(x[z > i],y[z > i],col=cc[(12+i)/2],cex=1.0) } rm(x,y,z)

I am trying to upload into R 143 Affymetrix chips onto using R on the NIH Nimbus server. I can load 10 chips without a problem, however, when I try to load 143 I receive a error message: cannot create a vector of 523263 KB. I have expanded the memory of R as follows: R --min-vsize=10M --max-vsize=2500M --min-nsize=10M -max-nsize=50M (as specified in help in R). After running this command the

Dear Group I'm still trying to bring many data into R (see older postings). After solving some troubles with the database I do most of the work in MySQL. But still I could be nice to work on some data using R. Therefore I can use a dedicated Server with Gentoo Linux as OS hosting only R. This Server is a nice machine with two CPU and 4GB RAM which should do the job: Dual Intel XEON 3.06 GHz

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

Dear R-users, I am currently facing what appears to be a strange thing (at least to my humble understanding). If I understood correctly, starting with the version 1.2.3, R memory allocation can be done dynamically, and there is no need to fiddle with the --nsize and --vsize parameter any longer... So far this everything seemed to go this way (I saw the size of my processes growing when I was

Dear all, I've started working with R (vs 1041) a few weeks ago, and now I'm having problems with the amount of memory. I'm working on the windows-me, my computer has 128 Mb of memory. I'm using the R under the emacs (ESS-5.1.20) and it is started by the command: Rterm --min-vsize=10M --max-vsize=100M --min-nsize=500k --max-nsize=1M I've been had problems when executing a

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