Can you at least send the output from the script so that we can see exactly how you are reading in the data and then processing it. Doing 'str(yourData)' would help to understand what the data looks like. The exactly error messages would also help. Is the data entirely numeric, or does it also contain factors? So this type of information is needed to understand the context of where your problem is.
On Wed, Jul 30, 2008 at 4:09 AM, Steve Murray <[EMAIL PROTECTED]> wrote: > > 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: [EMAIL PROTECTED] >> To: [EMAIL PROTECTED] >> 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 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? > > _________________________________________________________________ > Play and win great prizes with Live Search and Kung Fu Panda > http://clk.atdmt.com/UKM/go/101719966/direct/01/ -- Jim Holtman Cincinnati, OH +1 513 646 9390 What is the problem you are trying to solve? ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
