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?)
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