[R] Improving effeciency - better table()?

[Roger D. Peng]

Have you tried using hist() with specifying `br' and `plot = FALSE'?
See the note in ?cut.

-roger

Simon Cullen wrote:
> Hi,
> 
> 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  thoughts?
> 

-- 
Roger D. Peng
http://www.biostat.jhsph.edu/~rpeng/