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 <[EMAIL PROTECTED]> 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
>
>
> _________________________________________________________________
> Find the best and worst places on the planet
> http://clk.atdmt.com/UKM/go/101719807/direct/01/



-- 
Jim Holtman
Cincinnati, OH
+1 513 646 9390

What is the problem you are trying to solve?

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