SAS Macro : Test for Normal Distribution

SAS Analytics : Practical SAS, Statistics & Analysis Course

In most of the statistical tests, you need check assumption of normality. There is a test called Shapiro-Wilk W test that can be used to check normal distribution. If the p-value is greater than .05, it means we cannot reject the null hypothesis that a variable is normally distributed.

SAS Macro for Normality

*input = dataset to check;
*vars = Specify variable(s) for which you want to check normality;
*output = dataset to output with normality status;

%macro normal(input=, vars=, output=);

ods output TestsForNormality = Normal;
proc univariate data = &input normal;
var &vars;
ods output close;

data &output;
set Normal ( where = (Test = 'Shapiro-Wilk'));
if pValue > 0.05 then Status ="Normal";
else Status = "Non-normal";
drop TestLab Stat pType pSign;

%normal(input=test, vars=X1 X2, output=Normality);
Coursera Data Science

SAS Tutorials : 100 Free SAS Tutorials

Get Free Email Updates :
*Please confirm your email address by clicking on the link sent to your Email*

Related Posts:

0 Response to "SAS Macro : Test for Normal Distribution"

Post a Comment

Next → ← Prev