Hi SAS experts,
I have a data in which there are many students and severals exams. If one student does not anwer all the questions, how do I eliminate him? For example:
data a;
input id$ answerkey$ response$ responsestatus$;
cards;
1 A B answered
1 C C answered
1 D D answered
1 B B answered
2 A B answered
2 C unanswered
2 D D answered
2 B B answered
3 A c answered
3 C C answered
3 D unanswered
3 B B answered
4 A C answered
4 C C answered
4 D C answered
4 B B answered
5 A unanswered
5 C unanswered
5 D unanswered
5 B unanswered
6 A B answered
6 C C answered
6 D c answered
6 B B answered
;
run;
How to get rid of id=5?
Thanks a lot!
First off, the data set as written won't work as intended. The missing values for 'response' cause the variables to be read in wrong. There are many ways to fix this. I just manually added spaces to align the variables and updated the input statement.
data a;
input id$ answerkey$ response$ 5 responsestatus$ 7-16;
cards;
1 A B answered
1 C C answered
1 D D answered
1 B B answered
2 A B answered
2 C unanswered
2 D D answered
2 B B answered
3 A C answered
3 C C answered
3 D unanswered
3 B B answered
4 A C answered
4 C C answered
4 D C answered
4 B B answered
5 A unanswered
5 C unanswered
5 D unanswered
5 B unanswered
6 A B answered
6 C C answered
6 D c answered
6 B B answered
;
run;
*Creates a running total for the number of answers per ID then only outputs those with 4 answered questions and not ID of 5;
data b (drop=answer_flag answer_count);
set a;
by id;
if first.id then answer_count=0;
answer_flag=(responsestatus="answered");
answer_count+answer_flag;
if last.id then do;
if answer_count = 4 and id ^= "5" then output;
end;
run;
Something like:
proc sql; delete from A where RESPONSE_STATUS="unanswered"; quit;
As I understand, if I use the code you provided, it will eliminate id=3 question3 since it is unanswered?
Ah, just reverse the logic then:
proc sql; create table TMP as select * from A where RESPONSE_STATUS="answered"; delete from A where ID not in (select ID from TMP); quit;
Ie if there is not an answered for that ID delete it.
This depends somewhat on how your data are formatted. If the "answered/unanswered" variables are stored as 0/1, it could be just as easy as summing the responses and using a WHERE condition:
TotalResp = A + B + C + D + E ... WHERE TotalResp = 5
Otherwise, you could compute the number of responses missing this way using the missing function. Then, exclude those for which all are blank:
Total_Blank_Resp = missing( A ) + missing( B ) + missing( C ) + missing( D ) + missing( E ) ... WHERE Total_Blank_Resp = 5
data a;
input id$ answerkey$ response$ responsestatus : $20.;
cards;
1 A B answered
1 C C answered
1 D D answered
1 B B answered
2 A B answered
2 C . unanswered
2 D D answered
2 B B answered
3 A c answered
3 C C answered
3 D . unanswered
3 B B answered
4 A C answered
4 C C answered
4 D C answered
4 B B answered
5 A . unanswered
5 C . unanswered
5 D . unanswered
5 B . unanswered
6 A B answered
6 C C answered
6 D c answered
6 B B answered
;
run;
proc sql;
select *
from a
group by id
having sum(responsestatus='unanswered') ne count(*);
quit;
Ksharp,
It works! Thank you very much!
First off, the data set as written won't work as intended. The missing values for 'response' cause the variables to be read in wrong. There are many ways to fix this. I just manually added spaces to align the variables and updated the input statement.
data a;
input id$ answerkey$ response$ 5 responsestatus$ 7-16;
cards;
1 A B answered
1 C C answered
1 D D answered
1 B B answered
2 A B answered
2 C unanswered
2 D D answered
2 B B answered
3 A C answered
3 C C answered
3 D unanswered
3 B B answered
4 A C answered
4 C C answered
4 D C answered
4 B B answered
5 A unanswered
5 C unanswered
5 D unanswered
5 B unanswered
6 A B answered
6 C C answered
6 D c answered
6 B B answered
;
run;
*Creates a running total for the number of answers per ID then only outputs those with 4 answered questions and not ID of 5;
data b (drop=answer_flag answer_count);
set a;
by id;
if first.id then answer_count=0;
answer_flag=(responsestatus="answered");
answer_count+answer_flag;
if last.id then do;
if answer_count = 4 and id ^= "5" then output;
end;
run;
Registration is now open for SAS Innovate 2025 , our biggest and most exciting global event of the year! Join us in Orlando, FL, May 6-9.
Sign up by Dec. 31 to get the 2024 rate of just $495.
Register now!
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.