search for: cpermdistr2

...5 3 10 9 7 4 6 11 8 23 18 30 16 29 42 so there aren't that many categories. I thought perm.test makes this an Rx2 table and then does some sort of network algorithm on it. But I get the following error message: > perm.test(x,y,exact=T) Error in cperm(eq, m, paired) : N > 200 in cpermdistr2 > I understand this is a sample size error but it doesn't seem to make sense to me since there aren't that many unique categories for x and y. What am I missing ? Thanks, Steve __________________________________________________ Yahoo! Finance - Get real-time stock quotes -.-.-.-...