similar to: increasing memory size in R

I have installed R for use on Windows98 (PC) and have problems reading from and to files in Windows. I keep getting the message that the file cannot be opened. Is there anyone I can contact to get help? Bob Tsutakawa -------------- next part -------------- An HTML attachment was scrubbed... URL: https://stat.ethz.ch/pipermail/r-help/attachments/20001205/cb9aa5f7/attachment.html

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)

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]]

Among other computers, I am using rw0642 on an IBM 300GL with 32MB RAM and Windows98. 1. If after opening rw0642 the first command is to help such as "? par", when the help window is closed by clicking X in the upper right corner of the help window the following message is shown This program has performed an illegal operation and will be shut down. If the problem persists contact the

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 **

I am trying to read a source program into a mac pro laptop, which uses Snow Leopard. R is unable to find the file containing my source program. I'm using the function source(" file name"). I need some examples or detailed instructions. I have no problem reading the file using PC. Bob

i'm getting the following error message from smbclient when doing tar backups. what exactly does this error message mean and how can i eliminate it? ERRDOS - ERRbadshare (The sharing mode specified for an Open conflicts with existing FIDs on the file.) opening remote file \windows\system32\config\software.LOG -- Todd Pfaff \ Email: pfaff@mcmaster.ca Computing and

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

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

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 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) |

We have a project that calls for the creation of a list of many distribution objects. Distributions can be of various types, with various parameters, but we ran into some problems. I started testing on a simple list of rnorm-based objects. I was a little surprised at the RAM storage requirements, here's an example: N <- 10000 closureList <- vector("list", N) nsize = sample(x

Hi all I have a linux(susse) running samba and am trying to connect from windows98. I have no problem seeing the linux computer in the network neigbourhood. I can also see the folders shared from it. When Im accessing a folder I get prompted for password (my login on windows98 is the same as for linux). But it doesnt accept the password "Bad password". When I log in from other

I am trying to use tree to partition a data set. The data set has 3924 observations. Partitioning seems to work for small subsets of the data, but when I use the entire data set, no partitioning occurs. The variables are: RESP respondent to a survey (0 = not a respondent, 1 = respondent) AGE_P Age (continuous) ORIGIN_I Hispanic Ethnicity (1 = Hispanic, 2 = non-Hispanic) RACRECI2 Race

dear all, i cant figure out how to increase memory as in the help. would appreciate somebody to tell me step by step how to do it. thanks and regards yuming -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the

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

hi all i know that one should try and limit the amount of looping in R programs. i have supplied some code below. i am interested in seeing how the code cold be rewritten if we dont use the loops. a brief overview of what is done in the code. ============================================== ============================================== ============================================== 1. the input

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

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

Hi there, I'm brand new to R, so let me know if this question is not appropriate for this list. I've been reading through the documentation and have tried a number of things, but am pretty much stuck so far. Here's the session info: > sessionInfo() R version 2.6.2 (2008-02-08) i386-apple-darwin8.10.1 locale: C attached base packages: [1] stats graphics grDevices