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...) [1] 1 2 > unique(y) [1] 1 2 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! Fi...

Hi, I need to compare two matrices with each other. If you can get one of them out of the other one by resorting the rows and/or the columns, then both of them are equal, otherwise they're not. A matrix could look like this: [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 0 1 1 1 0 1 1 0 [2,] 1 1 0 0 0 1 0 1 [3,] 1 0 1 0 0