Hi,
I am trying to create the dummy variable Want which is = 1 if there is any observation that has a value in Have.
E.g. Want = 1 for all observations of A1 because there is at least one observation with a value in Have. Want = 0 for B1.
Is there a way to code this? Thanks for your help!
Sample data:
ID | Have | Want |
A1 | . | 1 |
A1 | . | 1 |
A1 | 100 | 1 |
A1 | . | 1 |
A1 | . | 1 |
A1 | . | 1 |
A1 | . | 1 |
A1 | . | 1 |
B1 | . | 0 |
B1 | . | 0 |
B1 | . | 0 |
B1 | . | 0 |
B1 | . | 0 |
B1 | . | 0 |
B1 | . | 0 |
B1 | . | 0 |
B1 | . | 0 |
B1 | . | 0 |
Regards,
Daniel
data have ;
id = 'A1' ; have = . ; output ;
id = 'A1' ; have = 100 ; output ;
id = 'A1' ; have = . ; output ;
id = 'B1' ; have = . ; output ;
id = 'B1' ; have = . ; output ;
id = 'B1' ; have = . ; output ;
run ;
proc sql ;
create table want as
select have.*,
case when id in
(select distinct id
from have
where have is not missing) then 1 else 0 end as want
from have ;
quit ;
Hi, here's a data step solution ...
data want;
want = 0;
do until (last.id);
set have (in=one) have;
by id;
if one and have then want = 1;
if ^one then output;
end;
run;
It's based on Howard Schreier's idea of a "self-interleave" ...
Interleaving a Dataset with Itself: How and Why
SAS is headed back to Vegas for an AI and analytics experience like no other! Whether you're an executive, manager, end user or SAS partner, SAS Innovate is designed for everyone on your team.
Interested in speaking? Content from our attendees is one of the reasons that makes SAS Innovate such a special event!
Learn the difference between classical and Bayesian statistical approaches and see a few PROC examples to perform Bayesian analysis in this video.
Find more tutorials on the SAS Users YouTube channel.