Hi, I have two matrices, describing two separate discrete random variables. Each row refers to one individual in my population (both matrices describe the same set of individuals). I am looking for a fast way to compute a matrix that describes the joint distribution of the two variables for each individual: to compute the new row 1, every cell in row 1 of matrix 1 shall be multiplied with each cell of row 1 in matrix 2.
Is there a fast way to do this in PDL, or would the best solution be to write a PDL::PP extension for this task? Best wishes & thanks, Alexander _______________________________________________ Perldl mailing list [email protected] http://mailman.jach.hawaii.edu/mailman/listinfo/perldl
