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 need to ( see colClasses  to
control this )
    c) use the bigmemory package or ff package
    d) buy more RAM


On Fri, Mar 2, 2012 at 6:57 AM, Dan Abner <dan.abner99@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
>
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