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