BookmarkSubscribeRSS Feed
☑ This topic is solved. Need further help from the community? Please sign in and ask a new question.
ANKH1
Pyrite | Level 9

I have this table. We need to make sure to keep only dates for variable DATE_DOSE2 that occur after DATE_DOSE1 by ID. This is a sample table. The resulting dataset should delete row 4 for ID=A since DATE_DOSE2 happens before DATE_DOSE1. What code do you recommend?

data dsin;
input ID $ SESSION DATE_DOSE2 : mmddyy10. DATE_DOSE1 : mmddyy10.;
format DATE_DOSE2 DATE_DOSE1 mmddyy10.;
datalines;
A 2 02/03/2021 .
A 2 02/04/2021 .
A 2 02/05/2021 .
A 2 01/06/2020 .
A 1 . 02/20/2020
B 2 04/16/2021 .
B 2 04/17/2021 .
B 2 04/18/2021 .
B 1 . 02/21/2020
;
run;
1 ACCEPTED SOLUTION

Accepted Solutions
mkeintz
PROC Star

If your data are sorted by ID, and you only have one non-missing DATE_DOSE1 value per ID, then a simple merge of the non-missing DATE_DOSE2 subset with the non-missing DATE_DOSE1 subset will allow you to use a subsetting IF statement:

 

data dsin;
  input ID $ SESSION DATE_DOSE2 : mmddyy10. DATE_DOSE1 : mmddyy10.;
  format DATE_DOSE2 DATE_DOSE1 mmddyy10.;
datalines;
A 2 02/03/2021 .
A 2 02/04/2021 .
A 2 02/05/2021 .
A 2 01/06/2020 .
A 1 .          02/20/2020
B 2 04/16/2021 .
B 2 04/17/2021 .
B 2 04/18/2021 .
B 1 .          02/21/2020
run;
data want;
  merge dsin (where=(date_dose2^=.) drop=date_dose1)
        dsin (where=(date_dose1^=.) keep=id date_dose1);
  by id;
  if date_dose2>date_dose1;
run;
--------------------------
The hash OUTPUT method will overwrite a SAS data set, but not append. That can be costly. Consider voting for Add a HASH object method which would append a hash object to an existing SAS data set

Would enabling PROC SORT to simultaneously output multiple datasets be useful? Then vote for
Allow PROC SORT to output multiple datasets

--------------------------

View solution in original post

3 REPLIES 3
mkeintz
PROC Star

If your data are sorted by ID, and you only have one non-missing DATE_DOSE1 value per ID, then a simple merge of the non-missing DATE_DOSE2 subset with the non-missing DATE_DOSE1 subset will allow you to use a subsetting IF statement:

 

data dsin;
  input ID $ SESSION DATE_DOSE2 : mmddyy10. DATE_DOSE1 : mmddyy10.;
  format DATE_DOSE2 DATE_DOSE1 mmddyy10.;
datalines;
A 2 02/03/2021 .
A 2 02/04/2021 .
A 2 02/05/2021 .
A 2 01/06/2020 .
A 1 .          02/20/2020
B 2 04/16/2021 .
B 2 04/17/2021 .
B 2 04/18/2021 .
B 1 .          02/21/2020
run;
data want;
  merge dsin (where=(date_dose2^=.) drop=date_dose1)
        dsin (where=(date_dose1^=.) keep=id date_dose1);
  by id;
  if date_dose2>date_dose1;
run;
--------------------------
The hash OUTPUT method will overwrite a SAS data set, but not append. That can be costly. Consider voting for Add a HASH object method which would append a hash object to an existing SAS data set

Would enabling PROC SORT to simultaneously output multiple datasets be useful? Then vote for
Allow PROC SORT to output multiple datasets

--------------------------
Ksharp
Super User
data dsin;
  input ID $ SESSION DATE_DOSE2 : mmddyy10. DATE_DOSE1 : mmddyy10.;
  format DATE_DOSE2 DATE_DOSE1 mmddyy10.;
datalines;
A 2 02/03/2021 .
A 2 02/04/2021 .
A 2 02/05/2021 .
A 2 01/06/2020 .
A 1 .          02/20/2020
B 2 04/16/2021 .
B 2 04/17/2021 .
B 2 04/18/2021 .
B 1 .          02/21/2020
;

data want;
do until(last.id);
 set dsin;
 by id;
end;
_DATE_DOSE1=DATE_DOSE1;
do until(last.id);
 set dsin;
 by id;
 if  SESSION=1 or DATE_DOSE2>_DATE_DOSE1 then output;
end;
drop _DATE_DOSE1;
run;

SAS Innovate 2025: Register Now

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!

How to Concatenate Values

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.

SAS Training: Just a Click Away

 Ready to level-up your skills? Choose your own adventure.

Browse our catalog!

Discussion stats
  • 3 replies
  • 502 views
  • 1 like
  • 3 in conversation