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

Hello all,

many thanks to help me to convert the first design to the second design?

 

Id             B       w     g

 1               10     .        .

 1                .        8     .

 1               .        .        6

2              12      .           .

2               .      15        .

2               .        .         17

.

.

.

 

second design:

Id              B        w          g

1               10       8          6

2              12      15         17

3

.

.

.

 

Thanks,

1 ACCEPTED SOLUTION

Accepted Solutions
Tom
Super User Tom
Super User

Assuming you want the last non-missing value for each variable in the group just use the UPDATE statement.  That requires two datasets, the original data and the transactions to be applied.  But you can use your existing dataset in both places.  Just start with zero observations.

data want;
  update have(obs=0) have;
  by id;
run;

View solution in original post

4 REPLIES 4
Tom
Super User Tom
Super User

Assuming you want the last non-missing value for each variable in the group just use the UPDATE statement.  That requires two datasets, the original data and the transactions to be applied.  But you can use your existing dataset in both places.  Just start with zero observations.

data want;
  update have(obs=0) have;
  by id;
run;
bhr-q
Pyrite | Level 9

Thanks so much, that's an easy way. 

PaigeMiller
Diamond | Level 26
proc summary data=have nway;
    class id;
    var b w g;
    output out=want sum=;
run;
--
Paige Miller
bhr-q
Pyrite | Level 9
Another easy way. Thanks so much for sharing your info.

hackathon24-white-horiz.png

2025 SAS Hackathon: There is still time!

Good news: We've extended SAS Hackathon registration until Sept. 12, so you still have time to be part of our biggest event yet – our five-year anniversary!

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
  • 4 replies
  • 1046 views
  • 3 likes
  • 3 in conversation