Hi all,

I have created a wide-dataset whit the cumulative percentage change within a period of a week for each province-code in my original dataset. Here an example of the structure:
Code:
 +------------------------------------------------------+
     | week_7~m   cumul~e1   cumul~e2   cumul~e3   cumul~e4 |
     |------------------------------------------------------|
  1. |        1          7          0          0          0 |
  2. |        2   2.433981   3.872983   3.605551   2.236068 |
  3. |        3   9.513314   5.292168   4.820598   5.574182 |
  4. |        4   25.65091   6.391198   11.52379   9.596646 |
  5. |        5   18.11543   5.083418   6.393942   6.903596 |
     |------------------------------------------------------|
  6. |        6   14.64915    3.95698   5.056757   8.415645 |
  7. |        7   11.73828   3.986464   8.661814   5.509972 |
  8. |        8   11.61636   2.641778   4.513327   7.073934 |
  9. |        9   9.731657   1.790158   2.424222    3.58781 |
 10. |       10   6.998778    .793135   1.692915   1.450931 |
     +------------------------------------------------------+
Where the first column is the week-number and all the others the cumulative percentage change for each province code.
I need to compute (and possibly store) the correlation coefficient for all possible combinations of province-codes foreach week-number, but I do not have any proper solution for that. Could you provide any idea?
Thanks for your help.