Hello,
I am having trouble creating a new variable using conditions, I've tried data steps but to no avail.
My data set looks like this right now:
A B C D E 1 . 1 1 . . 1 . . . 1 . 1 . 1
I need to look like this
A B C D E R . . . . 1 . 1 . . . . . . . . . 1
So the idea that i've used is if the sum of a -- d is greater than 1 then set R equal to 1 else . and then drop the observations if 1 is present in a & b & c & d & e but its not doing it for me perhaps its due to missing values.
code i've used so far:
data campZ;
set campY;
select;
when (sum(Macroscopic -- Symbolic > 1)) Random = 1;
otherwise;
end;
run;
I've tried Proc SQL as well but I have been mainly focusing on the data step but any help will be great.
Thank you!
Will
data need (Drop= i numMissing);
set have;
array varx(*) A--E;
numMissing = cmiss(A,B,C,D);
if numMissing < 3 then DO;
R = 1;
Do i =1 to dim(varx);
varx(i)=.;
End;
End;
Else R=.;
run;
Another way
data need (Drop= i);
set have;
array varx(5) A--E;
if SUM(A,B,C,D) > 1 then DO;
R = 1;
Do i =1 to dim(varx);
varx(i)=.;
End;
End;
Else R=.;
run;
data have;
input A B C D E;
cards;
1 . 1 1 .
. 1 . . .
1 . 1 . 1
;
run;
data want;
set have;
if sum(of A--E) > 1 then do;
Random = 1;
call missing(of A--E);
end;
run;
Are you ready for the spotlight? We're accepting content ideas for SAS Innovate 2025 to be held May 6-9 in Orlando, FL. The call is open until September 16. Read more here about why you should contribute and what is in it for you!
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.