I'm trying to come out a series of normal distribution and tested by Shapiro-Wilks test. The code is as below:
DATA RAND;
DO J=0 TO 9;
CALL STREAMINIT(123);
DO i=1 to 50;
X=Rand("normal",1.5+0.001*j,0.3);
OUTPUT;
END;
END;
RUN;
/*************************************************
*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;
run;
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;
run;
%mend;
%normal(input=RAND, vars=X, output=Normality);But the output data set is only one item by one Varname X from 500 data, not for j between 0 and 9 and from 50 data. Thank you if you can support.
Hi,
A small change in your macro code will generate the desired results. Just add by statement in proc univariate.
proc univariate data = &input normal;
var &vars;
by j;
run;
Hi,
A small change in your macro code will generate the desired results. Just add by statement in proc univariate.
proc univariate data = &input normal;
var &vars;
by j;
run;
April 27 – 30 | Gaylord Texan | Grapevine, Texas
Walk in ready to learn. Walk out ready to deliver. This is the data and AI conference you can't afford to miss.
Register now and save with the early bird rate—just $795!
Learn how use the CAT functions in SAS to join values from multiple variables into a single value.
Find more tutorials on the SAS Users YouTube channel.
Ready to level-up your skills? Choose your own adventure.