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Pritish
Quartz | Level 8

Hi,

I am trying to calculate the z-score for the variable that I have in my dataset using proc standard. All the columns have different mean and std, so my question is should I use a common mean and std deviation for calculating the z-score or I should calculate it separately?

in terms of code:

PROC STANDARD

      DATA = X

     MEAN = 0

     STD = 1

     OUT = ZSCORE

     VAR

     A /* it has a mean of 5 and std of 5 */

     B /* it has a mean of 500 and std of 7 */

     C /* it has a mean of 900 and std of 1000 */

run;

OR I should use this approach?

PROC STANDARD

      DATA = X

     MEAN = 5

     STD = 5

     OUT = ZSCORE_a

     VAR

     A /* it has a mean of 5 and std of 5 */

  run;

PROC STANDARD

      DATA = X

     MEAN = 500

     STD = 7

     OUT = ZSCORE_b

     VAR

          B /* it has a mean of 500 and std of 7 */

      run;

PROC STANDARD

      DATA = X

     MEAN = 900

     STD = 1000

     OUT = ZSCORE_c

     VAR

         C /* it has a mean of 900 and std of 1000 */

run;

and then merge all cols

I really appreciate your time and guidance.

Thanks!

1 REPLY 1
SteveDenham
Jade | Level 19

See my reply in the Statistical Procedures forum.  The first code block is what you want to use.

Steve Denham

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