similar to: cannot increase memory size to 4Gb (PR#11087)

Hi all, I am getting the following error message: > mymodel = glm(response ~ . , family=binomial, data=C); Error: cannot allocate vector of size 734.2 Mb In addition: Warning messages: 1: In array(0, c(n, n), list(levs, levs)) : Reached total allocation of 1535Mb: see help(memory.size) 2: In array(0, c(n, n), list(levs, levs)) : Reached total allocation of 1535Mb: see help(memory.size) 3:

Hi all Two computers: one is my desktop PC, windows2000, R 1.9.1. Physical RAM 256MB, Swap (Virtual memory) 384Mb. When I allocate a large matrix, it firstly uses up RAM, then use swap space. In windows' task manager, the usage of memory could exceed my physic RAM's size. The other machine is a remote server. Windows XP, R 1.9.1 Physical RAM 2GB. Swap space 4GB. I use "R

Dear all, I got this error message > library(dprep) > mardia(Savg) Error in cov(data) : 'x' is empty But with the same data, I got > library(mvnormtest) > mshapiro.test(Savg) Shapiro-Wilk normality test data: Z W = 0.9411, p-value = 0.6739 What does the error message "Error in cov(data) : 'x' is empty" mean? Thanks a lot! Jiao

Hi Colin Gutrie: Thanks for your repply about alt-gr problem. And great!!!! I'm also a developer (opengl developer), so I very happy to find a developer list of compiz...I'm working in some ideas for pluggins (for now only in a opengl format without nothing about compiz or xgl), so I very interesting in work with you, is this posible??, please guide me on this...what I have to do to set

Hi R users I am trying to run a non linear parameter optimization using the function optim() and I have problems regarding memory allocation. My data are in a dataframe with 9 columns. There are 656100 rows. >head(org_results) comb.id p H1 H2 Range Rep no.steps dist aver.hab.amount 1 1 0.1 0 0 1 100 0 0.2528321

Hi to all: My name is Mauricio and I write from Chili, I new on the list, so hi to all. I'm using Xgl and compiz and is an amazing technologie, also even as a "alpha" software work allmost perfect on my inspiron 6400-ATIX1300. I only have 2 problems. The first related to some java app and compiz (like limewire), so I read on the list something about a patch to try to solve this, I

How do people deal with R and memory issues? I have tried using gc() to see how much memory is used at each step. Scanned Crawley R-Book and all other R books I have available and the FAQ on-line but no help really found. Running WinXP Pro (32 bit) with 4 GB RAM. One SATA drive pair is in RAID 0 configuration with 10000 MB allocated as virtual memory. I do have another machine

Hello everyone! When I use "nlminb" to minimize a function with a variable of almost 200,000 dimension, I got the following error. > nlminb(start=start0, msLE2, control = list(x.tol = .001)) Error in vector("double", length) : vector size specified is too large I had the following setting options(expressions=60000) options(object.size=10^15) I have no idea about what

I am running and analysis of sequencing data uisng the EdgeR package. I have received the following error: Using grid search to estimate tagwise dispersion. Error: cannot allocate vector of size 307.3 Mb indicating the memory allocation is too small. How would I change this confiuration in R so that the script can run with the files I have? Help appreciated, Josquin -- View this message in

I'm using R 2.11.1 on Win XP (32-bit) with 3 GB of RAM. My data has (only) 16.0 MB. I want to create a VCorpus object using the Corpus function in the tm package but I'm running into Memory allocation issues: "Error: cannot allocate vector of size 372 Kb". My data is stored in a csv file which I've imported with "read.csv" and then used the following to create

Dear All, I am an Italian researcher in Economics. I work with large sample data. I need to increase the memory in R-project in order to upload a file ".dta". How can I do this? Thank you. graziella -- View this message in context: http://r.789695.n4.nabble.com/memory-increasing-tp3396511p3396511.html Sent from the R help mailing list archive at Nabble.com.

I've read some postings back in 2002/2006 about running R on multiple core CPUs. The answer was basically separate processes work fine, but parallelization needs to be implemented using snow/rmpi. Are the answers still the same? I ask because we are about to order a laptop running Windows for a new staff member. Some advice on the following would be helpful. It will be ordered with Vista,

Hola, Tengo la base de datos de un censo agropecuario el cual está en formato de SPSS, cuando cuando ejecuto el comando para introducirlo a R, despues de permanecer lento R, aparece esto: Error: cannot allocate vector of size 1.6 Mb Hasta aquí llega y no introduce ninguna observación. Mi pregunta es si existe alguna solución, talvez aumentar la memoria de R?? Imagino que como ustedes han

Hi, Please see the email exchanges below. I am having trouble generating output that is large enough for our needs, specifically when using the GaussRF function. However, when I wrote Dr. Schlather (the author of the GaussRF function), he indicated that there is also a limit imposed by R itself. Is this something that we can overcome? Thank you very much for any assistance you may provde.

Dear all, In my attempt to run the below modelling command in R 2.7.0 under windows XP (4GB RAM with /3GB switch set) I receive the following error: Error: cannot allocate vector of size 1.5 Gb I have searched a bit and have tried adding: --max-mem-size=3071M to the command line (when set to 3G I get the error that 3072M is too much) I also run: > memory.size() [1] 11.26125 >

Dear All, I appreciate any advice or hints you could provide about the following. We are running R code in a server (running Windows XP and QuadCore Xeon processors, see details below) and we would like to use the server efficiently. Our code takes a bit more than 6 seconds per 25 iterations in the server using a default R 2.10.0 installation. We tested our code in two other computers, a Dell

---------- Forwarded message ---------- From: Emiliano Zapata <ezapataika@gmail.com> Date: Sun, May 20, 2012 at 12:09 PM Subject: To: R-help@r-project.org Hi, I have a 64 bits machine (Windows) with a total of 192GB of physical memory (RAM), and total of 8 CPU. I wanted to ask how can I make R make use of all the memory. I recently ran a script requiring approximately 92 GB of memory to

Hello: While running R doing the analysis of my data I (using packages such as BIOMOD or e1071) get the following error as a result of several of my analysis: Error: cannot allocate vector of size 998.5 Mb In addition: Warning messages: 1: In array(c(rep.int(c(1, numeric(n)), n - 1L), 1), d, dn) : Reached total allocation of 4095Mb: see help(memory.size) 2: In array(c(rep.int(c(1,

I''m trying to set up a iscsi connection (with MPXIO) between my Vista64 workstation and a ZFS storage machine running OpenSolaris 10 (forget the exact version). On the ZFS machines, I have two NICS. NIC #1 is 192.168.1.102, and NIC #2 is 192.168.2.102. The NICs are connected to two separate switches serving two separate IP spaces. On my Vista64 machine, I also have two NICs connected in

Hi, Hi, I have been googling, and can't find anything that will help me: mt -f /dev/st0 status /dev/st0: No such device or address Any suggestion? I am using CentOS 3 [RHEL ES3 without the licenses] The tape drive is recognized at boot [from dmesg] scsi0 : Adaptec AIC7XXX EISA/VLB/PCI SCSI HBA DRIVER, Rev 6.2.36 <Adaptec 29160 Ultra160 SCSI adapter> aic7892: