BookmarkSubscribeRSS Feed
🔒 This topic is solved and locked. Need further help from the community? Please sign in and ask a new question.
Cruise
Ammonite | Level 13

Hi folks,

 

I'm trying to subset patients who takes combination of two specific values which means:

 

1. Select patients who takes both value '1 and 2' for "weight" variable such as ID=2: 4 in the data 'have'. Ignore patients who takes '1 or 2', or none such as ID=1: 3: 5.

2. If subjects tie on "weight" then take the row associated with the least value of 'diff_range' as shown in data want.

3. If data ties on diff_range then I can proc sort nodupkey by extra step, so don't worry about that.

 

The current SAS code keeps ID 1:3:5 in the 'want' data which I'm trying to eliminate.

 

Could you please help just to retrieve ID 2:4 in the final data as described step-wise above?

 

data have;
input id weight diff_range;
cards;
1	1	2
1	1	21
1	1	54
1	1	87
2	1	80
2	1	90
2	2	100
2	2	120
2	3	100
3	1	21
3	4	3
3	5	0
3	6	2
3	6	2
4	1	200
4	1	250
4	2	30
4	2	50
4	4	23
4	5	56
4	5	89
5	2	23
5	2	56
5	2	78
;
run;

data want;
input id weight diff_range;
cards;
2	1	80
2	2	100
4	1	200
4	2	30
;
run;

proc sql;
create table want(drop=_:) as
select *
from 
(select *, max(weight in (1,2)) as _c,min(diff_range) as _min from have group by id, weight)
group by id
having _c and _min=diff_range;
quit;
proc print; run; 

 

1 ACCEPTED SOLUTION

Accepted Solutions
novinosrin
Tourmaline | Level 20

@Cruise   enjoy

 


data have;
input id weight diff_range;
cards;
1	1	2
1	1	21
1	1	54
1	1	87
2	1	80
2	1	90
2	2	100
2	2	120
2	3	100
3	1	21
3	4	3
3	5	0
3	6	2
3	6	2
4	1	200
4	1	250
4	2	30
4	2	50
4	4	23
4	5	56
4	5	89
5	2	23
5	2	56
5	2	78
;
run;


proc sql;
create table  want as
select *
from
(select * from have where weight in (1,2) group by id
having sum(distinct weight)=3)
group by id, weight
having diff_range=min(diff_range)
order by id, weight;
quit;

View solution in original post

3 REPLIES 3
novinosrin
Tourmaline | Level 20

@Cruise   enjoy

 


data have;
input id weight diff_range;
cards;
1	1	2
1	1	21
1	1	54
1	1	87
2	1	80
2	1	90
2	2	100
2	2	120
2	3	100
3	1	21
3	4	3
3	5	0
3	6	2
3	6	2
4	1	200
4	1	250
4	2	30
4	2	50
4	4	23
4	5	56
4	5	89
5	2	23
5	2	56
5	2	78
;
run;


proc sql;
create table  want as
select *
from
(select * from have where weight in (1,2) group by id
having sum(distinct weight)=3)
group by id, weight
having diff_range=min(diff_range)
order by id, weight;
quit;
Cruise
Ammonite | Level 13

@novinosrin Thanks  a lot. Smart solution indeed.

hackathon24-white-horiz.png

The 2025 SAS Hackathon has begun!

It's finally time to hack! Remember to visit the SAS Hacker's Hub regularly for news and updates.

Latest Updates

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
  • 1566 views
  • 1 like
  • 2 in conversation