The third row of dataset New, the column visit should be 'Missing',why I got 'Retreat'?
Here is SAS code:
data old; input sitesub $ vtype vdate $; cards; 01-303 1.4 12/23/2005 01-304 1.5 09/03/2005 01-308 . 04/30/2005 01-305 1.4 10/09/2005 01-306 1.5 11/17/2005 01-307 1.5 05/29/2005 ; run; data new; set old; length visit $20; visit=ifc(vtype=1.4,'Baseline','Retreat','Missing'); run;
It's not working as expected because the result of the comparison if vtype=1.4 can only be true or false, thus never has a missing value.
You can get it to do what you want by nesting two ifc functions:
data new; set old; length visit $20; visit=ifc(missing(vtype),'Missing',ifc(vtype=1.4,'Baseline','Retreat')); run;
Alternatively, you could express the condition in a form that would set it to missing if the value were missing. e.g.,
data new; set old; length visit $20; visit=ifc(1.4*(vtype eq 1.4),'Baseline','Retreat','Missing'); run;
Art, CEO, AnalystFinder.com
It's not working as expected because the result of the comparison if vtype=1.4 can only be true or false, thus never has a missing value.
You can get it to do what you want by nesting two ifc functions:
data new; set old; length visit $20; visit=ifc(missing(vtype),'Missing',ifc(vtype=1.4,'Baseline','Retreat')); run;
Alternatively, you could express the condition in a form that would set it to missing if the value were missing. e.g.,
data new; set old; length visit $20; visit=ifc(1.4*(vtype eq 1.4),'Baseline','Retreat','Missing'); run;
Art, CEO, AnalystFinder.com
IFC() might be a useful function in the right place, but this example is one where using normal IF/THEN is probably better.
data new;
set old;
length visit $20;
if missing(vtype) then visit='Missing';
else if vtype=1.4 then visit='Baseline';
else visit='Retreat';
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.