
Hi - thanks for the advice - I am however applying this to the whole data frame. And the code that I'm using is just to read in the data (using read.table) and then the code that you supplied. I could send you the actual dataset if you don't mind a file ~50MB?!

Thanks again,

Steve


> Date: Tue, 29 Jul 2008 15:34:31 -0400
> From: jholtman@gmail.com
> To: smurray444@hotmail.com
> Subject: Re: [R] Coarsening the Resolution of a Dataset
> CC: r-help@r-project.org
> 
> I assume that you are doing this on one column of the matrix which
> should only have 2160 entries in it.  can you send the actual code you
> are using.  I tried it with 10,000 samples and it works fine.  So I
> need to understand the data structure you are using.  Also the
> infinite recursion sounds strange; do you have function like 'cut' or
> 'c' redefined?  So it would help if you could supply a reproducible
> example.
> 
> On Tue, Jul 29, 2008 at 10:09 AM, Steve Murray <smurray444@hotmail.com> wrote:
> >
> > Unfortunately, when I get to the 'myCuts' line, I receive the following error:
> >
> > Error: evaluation nested too deeply: infinite recursion / options(expressions=)?
> >
> > ...and I also receive warnings about memory allocation being reached (even though I've already used memory.limit() to maximise the memory) - this is a fairly sizeable dataset afterall, 2160 rows by 4320 columns.
> >
> > Therefore I was wondering if there are any alternative ways of coarsening a dataset? Or are there any packages/commands built for this sort of thing?
> >
> > Any advice would be much appreciated!
> >
> > Thanks again,
> >
> > Steve
> >
> >
> > _________________________________________________________________
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> 
> 
> -- 
> Jim Holtman
> Cincinnati, OH
> +1 513 646 9390
> 
> What is the problem you are trying to solve?

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