test and control split prior to modeling in SAS language #sasstats

https://github.com/decisionstats/sas-for-data-science/blob/master/split%20test%20and%20control.sas

Screenshot from 2017-07-12 16-20-59

data cars;
set sashelp.cars;
run;
data cars2;
set sashelp.cars;
where ranuni(12) <=.25;
run;
 

  data cars2;
  set sashelp.cars;
  where ranuni(12) <=.25;
  run;
NOTE: There were 114 observations read from the data set SASHELP.CARS.
WHERE RANUNI(12)<=0.25;
NOTE: The data set WORK.CARS2 has 114 observations and 15 variables.

 

 

 

 
data cars3 cars4;
set sashelp.cars;
if ranuni(12)<=.25 then output cars3;
else output cars4;
run;
 

data cars3 cars4;
  set sashelp.cars;
if ranuni(12)<=.25 then output cars3;
else output cars4;
run;
NOTE: There were 428 observations read from the data set SASHELP.CARS.
NOTE: The data set WORK.CARS3 has 114 observations and 15 variables.
NOTE: The data set WORK.CARS4 has 314 observations and 15 variables.

 

 

 

 
PROC SURVEYSELECT DATA=cars OUT=test_cars METHOD=srs SAMPRATE=0.25;
RUN;
PROC SURVEYSELECT DATA=cars outall OUT=test_cars2 METHOD=srs SAMPRATE=0.25;
RUN;
 

  PROC SURVEYSELECT DATA=cars OUT=test_cars METHOD=srs SAMPRATE=0.25;
  RUN;
NOTE: The data set WORK.TEST_CARS has 107 observations and 15 variables.
NOTE: PROCEDURE SURVEYSELECT used (Total process time):
  PROC SURVEYSELECT DATA=cars outall OUT=test_cars2 METHOD=srs SAMPRATE=0.25;
  RUN;
NOTE: The data set WORK.TEST_CARS2 has 428 observations and 16 variables.
NOTE: PROCEDURE SURVEYSELECT used (Total process time):

 

 

 

 

 

 

 

 
proc print data=test_cars2 (obs=6);
var selected;
run;
proc freq data=test_cars2;
tables selected/norow nocol nocum nopercent;
run;
data test ;
set test_cars2;
where selected=0 ;
run;
data control ;
set test_cars2;
where selected=1 ;
run;

 

Output

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Author: Ajay Ohri

http://about.me/ajayohri

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