Re: [R] Memory issue. XXXX

2012-03-02 Thread Prof Brian Ripley
On 02/03/2012 23:36, steven mosher wrote: 1. How much RAM do you have (looks like 2GB ) . If you have more than 2GB then you can allocate more memory with memory.size() Actually, this looks like 32-bit Windows (unstated), so you cannot. See the rw-FAQ for things your sysadmin can do even

Re: [R] Memory issue. XXXX

2012-03-02 Thread steven mosher
1. How much RAM do you have (looks like 2GB ) . If you have more than 2GB then you can allocate more memory with memory.size() 2. If you have 2GB or less then you have a couple options a) make sure your session is clean of unnecessary objects. b) Dont read in all the data if you dont

Re: [R] Memory issue. XXXX

2012-03-02 Thread Sarah Goslee
Let's see... You could delete objects from your R session. You could buy more RAM. You could see help(memory.size). You could try googling to see how others have dealt with memory management in R, a process which turns up useful information like this: http://www.r-bloggers.com/memory-management-in

[R] Memory issue. XXXX

2012-03-02 Thread Dan Abner
Hi everyone, Any ideas on troubleshooting this memory issue: > d1<-read.csv("arrears.csv") Error: cannot allocate vector of size 77.3 Mb In addition: Warning messages: 1: In class(data) <- "data.frame" : Reached total allocation of 1535Mb: see help(memory.size) 2: In class(data) <- "data.frame"