R help - Aug 2011 - chisq.test(): standardized (adjusted) Pearson residuals

I'm using chisq.test() on a matrix of categorical data, and I see that the
"residuals" attribute of the returned object will give me the Pearson
residuals.
That's cool. However, what I'd really like is the standardized
(adjusted)
Pearson residuals, which have a N(0,1) distribution. Is there a way to do that
in R (other than by me programming it myself?)

On Aug 19, 2011, at 1:28 PM, Stephen Davies wrote:
> I'm using chisq.test() on a matrix of categorical data, and I see  
> that the
> "residuals" attribute of the returned object will give me the  
> Pearson residuals.
> That's cool. However, what I'd really like is the standardized  
> (adjusted)
> Pearson residuals, which have a N(0,1) distribution. Is there a way  
> to do that
> in R (other than by me programming it myself?)
?scale

-- 

David Winsemius, MD
West Hartford, CT