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.
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