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-a-few-tips-and-tricks/
You could provide the information on your system requested in the posting guide.
Sarah
On Fri, Mar 2, 2012 at 9:57 AM, Dan Abner <dan.abne...@gmail.com> wrote:
> 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" :
> Reached total allocation of 1535Mb: see help(memory.size)
> 3: In class(data) <- "data.frame" :
> Reached total allocation of 1535Mb: see help(memory.size)
> 4: In class(data) <- "data.frame" :
> Reached total allocation of 1535Mb: see help(memory.size)
>
>
> Thanks!
>
> Dan
--
Sarah Goslee
http://www.functionaldiversity.org
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