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 ______________________________________________ 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.
