R help - Nov 2009 - partitioning chi-square statistic (g squared)

hi all -

is there a package or library that contains a function for partitioning the
chi-square statistic of an I X J contingency table into its respective
independent parts?

i looked around for this, but i didn't find anything. perhaps there's
another name for this sort of analysis? i know it as "g-squared".

thanks,
chris.

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christopher compeau wrote:
> hi all -
> 
> is there a package or library that contains a function for partitioning the
> chi-square statistic of an I X J contingency table into its respective
> independent parts?
Do you mean the chisquare contribution from each cell in the table?
If so, just square the 'residuals' component of the output:

  x <- sample(5:20, 12, replace=TRUE)
  m <- matrix(x, nr=3)
  chtest <- chisq.test(m)
  residuals(chtest)^2

See the 'Value' section of ?chisq.test.

If you mean the "G-test" (Wikipedia), you can extract the
'observed' and 'expected' components of the chisq.test output
to calculate G. Use the chisquare distribution to obtain a
p-value.

  -Peter Ehlers
> 
> i looked around for this, but i didn't find anything. perhaps
there's
> another name for this sort of analysis? i know it as "g-squared".
> 
> thanks,
> chris.
> 
> 	[[alternative HTML version deleted]]
> 
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