I need to do a calculation for each level of detail in proc sql: count number of courses for each ID, and sum number of Failed for each ID. Here is a sample of data. Notice that COURSE is not a numeric variable, so I cannot use proc summary or proc means. Does anyone have a better idea? Thanks!
ID | COURSE | Failed |
1 | NGR-7892 | 1 |
1 | NGR-7945 | 0 |
1 | NGR-7974 | 0 |
2 | LIS-5973 | 0 |
2 | LIS-5942 | 1 |
2 | NGR-6207 | 0 |
2 | TTE-6655 | 1 |
I don't know what to do with the hypothetical case where a given id failed the same course twice. This counts it as two failures:
proc sql;
select
id,
count(distinct course) as nbCourses,
sum(failed) as nbFailed
from myData
group by ID;
quit;
I don't know what to do with the hypothetical case where a given id failed the same course twice. This counts it as two failures:
proc sql;
select
id,
count(distinct course) as nbCourses,
sum(failed) as nbFailed
from myData
group by ID;
quit;
Thanks. This code works perfectly.
You can use proc summary with your data:
data have;
input id $ course $ failed;
datalines;
1 NGR-7892 1
1 NGR-7945 0
1 NGR-7974 0
2 LIS-5973 0
2 LIS-5942 1
2 NGR-6207 0
2 TTE-6655 1
;
proc summary data=have nway;
var failed;
class id;
output
out=want (drop=_type_ rename=(_freq_=count))
sum(failed)=
;
run;
Thank you. The code you shared also works!
Registration is open! SAS is returning 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. Register for just $495 by 12/31/2023.
If you are interested in speaking, there is still time to submit a session idea. More details are posted on the website.
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.