[R] Improving effeciency - better table()?
MSchwartz at MedAnalytics.com
Tue Jul 6 15:11:08 CEST 2004
On Tue, 2004-07-06 at 07:56, Simon Cullen wrote:
> I've been running some simulations for a while and the performance of R
> has been great. However, I've recently changed the code to perform a sort
> of chi-square goodness-of-fit test. To get the observed values for each
> cell I've been using table() - specifically I've been using cut2 from
> Hmisc to divide up the range into a specified number of cells and then
> using table to count how many observations appear in each cell.
> > obs <- table(cut2(z.trun, cuts=breaks))
> Having done this I've found that the code takes much longer to run - up to
> 10x as long. Is there a more effecient way of doing this? Anyone have any
It would appear that you might be attempting to do a Hosmer-Lemeshow
type of GOF test.
If indeed that is the case, before making the above more efficient, you
should spend some time reviewing the following posts by Frank Harrell on
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