KS vs D. Which one to use?

[Toni2]

i have more than 100 variables and use npar1way to estimate KS. 

My aim is each variable to be tested based on the class variable

proc npar1way edf data=mydata noprint;
class source;
var &val;
output out=stat ks;
run;

Below is an example of the outcome for one variable. My question is, do i need to use the KS or the D statistic? 

Kolmogorov-Smirnov Two-Sample Test (Asymptotic)
KS	0.038621	D	0.1039
KSa	1.07377	Pr > KSa	0.1991

[PaigeMiller · Accepted solution]

For comparing two different distributions, look at the graphic at Wikipedia, D is the size vertically of the black arrow, it is the maximum vertical difference between the two distribution. That's the one you want.

The documentation explains the difference: https://documentation.sas.com/doc/en/pgmsascdc/9.4_3.4/statug/statug_npar1way_details24.htm

[Toni2]

thank you 🙂