similar to: Memory management

Hi, I am trying to create a matrix 8000x8000 but cannot make R work properly with: rgui --vsize 30 --nsize 1000000 I can't pass an nsize value more than 1000000. What are the limits uder windows 98 ? Best, Costas -- ------------------------------------------------------------------------- Konstantinos E. Vorloou | Tel: +44 (0)191 374 1821 Department of Economics &

Dear R users, That's probably a silly question even for a newbie but : Is it possible to assign variable prices as variable names ? For instance, would something like the following work : for (i in 1:4) { error.i <- some_calculation } so "error.i" variables would be created for i=1,2,3,4 i.e. error.1 error.2 error.3 etc. etc. Costas --

Hi, I am using 0.63.2 on Windows. I have some functions programmed to do repetitive tasks and have some print(variables) statements to check how my program is progressing but get no output on screen (console) while the program is running. I tried CTRL-W as the help says but I get no screen output before each run terminates. Probably some kind of setting needs to be predefined correctly. Any

Hi, I am not able to print from within windows 98 (graphics and text) in the latest R. Menus and buttons don't function... platform Windows arch x86 os Win32 system x86, Win32 status status.rev 0 major 0 minor 65.0 year 1999 month August day 27 language R Anybody encountering the same problem ? Also windows manipulation by the environment

Hi, Whenever I issue this commands (as in the help for the threshold function), # # Do a 1D decomposition # tdecomp <- wd(test.data) # # Threshold it # tdecomp.thresh <- threshold(tdecomp) # # Reconstruct from the thresholded coefficients # trecons <- wr(tdecomp.thresh) # #

Is plot(ts.object) equivalent to the S-Plus ts.plot ? -- ------------------------------------------------------------------------- Konstantinos E. Vorloou | Tel: +44 (0)191 374 1821 Department of Economics & Finance | Fax: +44 (0)191 374 7289 University of Durham, | email: K.E.Vorloou at durham.ac.uk 23/26 Old Elvet, | or : vorlow at rocketmail.com

Hello, Has anybody transferred Bearn's S+ code to R ? Best, Costas -- ------------------------------------------------------------------------- Konstantinos E. Vorloou | Tel: +44 (0)191 374 1821 Department of Economics & Finance | Fax: +44 (0)191 374 7289 University of Durham, | email: K.E.Vorloou at durham.ac.uk 23/26 Old Elvet, | or : vorlow at

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, I have a few questions about how to handle large data sets in R. What is the size of the largest matrix that R can comfortably deal with? Is this size limit imposed by R's software, or is it a question of the machine that one runs on? How does one go about choosing reasonable values of vsize and nsize? I have a data set with about 1,000,000 rows, and 30

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

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 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 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) |

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

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, 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]]

Dear R-users, I am trying to run some simulations in batch mode. In an older version of the program, I used rterm --vsize=100M --nsize=5000K --restore --save <input file> output file, however, in the new version R 2.2.0 , the parameters vsize and nsize are ignored. I can use the command memory.limit to increase memory, but I am not sure if this corresponds to vsize and nsize.

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

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