I have the following data with the listed variables for time 1hr. There are similar data sets for times 2,3,4,6,7,8,12,and 24 hrs. ID AMT Time CMT Y 15 1 0 1 3 0.40953 . 16 2 0 1 3 0.2531 . 17 3 0 1 3 30.549 . 18 4 0 1 3 2.2213 . 19 5 0 1 3 1.829 . 20 6 0 1 3 8.8514 . 21 7 0 1 3 29.094 . 22 8 0 1 3 4.2443 . 23 9 0 1 3 0.68437 . 24 10 0 1 3 3.3793 . 25 11 0 1 3 2.8721 . 26 12 0 1 3 0.7927 . 27 13 0 1 3 7.477 . 28 14 0 1 3 0.98951 . I have done a box plot and ID's 7 and 3 are outliers. My question is there code that I can use with SAS univariate that will allow me to obtain the Winsorized mean variable Y for each collection time period? I have searched but could not find code modification to do so. I realize this could be done by brute force by analyzing each time separately.
... View more