Hello, Is there a test for independence available based on a multidimensional contingency table?
I've about 300 processes, and for each of them I get numbers for failures and successes. I've two or more conditions under which I test these processes. If I had just one process to test I could just perform a fisher or chisquare test on a 2x2 contigency table, like this: for one process: conditionA conditionB ok 20 6 failed 190 156 >From the table I can figure out if the outcome (ok/failed) is bound to one of the conditions for a process. However, I'd like to know how different the 2 conditions are from each other considering all 300 processes, and I consider the processes to be an additional dimension. My H0 is that both conditions are overall (considering all processes) the same. Could you give me a hint what kind of test of package I should look into? kind regars + thanks for your help, Arne ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help