similar to: memory trouble

Hello, i'm a newbie of the really fantastic "R" , but have some problems to define Missing Values from Spss-Files which i import with the read.spss(data) command ! What should i do to recode i.e. the values 9,99 & 999 to NA. Something like this x <- c(9,99,999,NA) x==NA ...do not what i want, because the data.frame show the values 9,99 & 999 and not NA in this fields ?

windows() plot(1,1) windows() plot(1:2,1:2) dev.list() # we have devices 2 and 3 # device 3 is active and in front bringToTop(2) # does not work bringToTop(3) # does not work also Regards Jens Oehlschlaegel --please do not edit the information below-- Version: platform = i386-pc-mingw32 arch = x86 os = Win32 system = x86, Win32 status = major = 1 minor = 2.1 year = 2001 month = 01

Hello, i use i.e. the cluster-package and the fanny-object to construct some cluster's and get the membership'S for every "Person" & Cluster ! My finally problem is to match efficient the data and the results's togehter in one table! Until now i use the ODBC-Package and save both in a access-file and copy them together, but i can't be sure that the sorting is the

Dear all, I am using ubuntu linux 32 with 4 Gb.  I am running a very small script and I always got the same error message:  CAN NOT ALLOCATE A VECTOR OF SIZE 231.8 Mb. I have reading carefully the instruction in ?Memory.  Using the function gc() I got very low numbers of memory (please sea below).  I know that it has been posted several times at r-help

Dear all, I am using ubuntu linux 32 with 4 Gb.  I am running a very small script and I always got the same error message:  CAN NOT ALLOCATE A VECTOR OF SIZE 231.8 Mb. I have reading carefully the instruction in ?Memory.  Using the function gc() I got very low numbers of memory (please sea below).  I know that it has been posted several times at r-help

Dear all, I am using ubuntu linux 32 with 4 Gb.  I am running a very small script and I always got the same error message:  CAN NOT ALLOCATE A VECTOR OF SIZE 231.8 Mb. I have reading carefully the instruction in ?Memory.  Using the function gc() I got very low numbers of memory (please sea below).  I know that it has been posted several times at r-help

Dear all, I am using ubuntu linux 32 with 4 Gb.  I am running a very small script and I always got the same error message:  CAN NOT ALLOCATE A VECTOR OF SIZE 231.8 Mb. I have reading carefully the instruction in ?Memory.  Using the function gc() I got very low numbers of memory (please sea below).  I know that it has been posted several times at r-help

RHSrvAny.c was using a mixture of 4 space indentation, and tabs with a width of 4. This commit rationalises the whitespace to use only 4 space indentation, and removes trailing whitespace. --- RHSrvAny/RHSrvAny.c | 537 ++++++++++++++++++++++++++-------------------------- RHSrvAny/RHSrvAny.h | 1 - RHSrvAny/resource.h | 2 +- 3 files changed, 269 insertions(+), 271 deletions(-) diff --git

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 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

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

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

RHSrvAny.c was using a mixture of 4 space indentation, and tabs with a width of 4. This commit rationalises the whitespace to use only 4 space indentation, and removes trailing whitespace. --- RHSrvAny/RHSrvAny.c | 537 ++++++++++++++++++++++++++-------------------------- RHSrvAny/RHSrvAny.h | 1 - RHSrvAny/resource.h | 2 +- 3 files changed, 269 insertions(+), 271 deletions(-) diff --git

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 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

I'd like to override one setting for a master service in conf.d/10-master.conf. Unfortunately, said setting contains spaces, and I do not know how to escape them properly. Here's what I've tried so far. (Note: This is just the easiest/silliest test case I could come up with; not the actual setting or service I want to overwrite.) conf.d/10-master.conf: service quota-status {

Hi list, I am analysing a large dataset using random coefficient (using nlme) and fixed effects (using lm function) models. I have problem with my R version 2. 2. 1 due to memory allocation difficulties. When I try to expand the memory I get the following error message. > R --min-vsize=10000000 --max-vsize=1000000000 --min-nsize=500 --max-nsize=10000000 Error: target of assignment expands

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

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.

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