BookmarkSubscribeRSS Feed
🔒 This topic is solved and locked. Need further help from the community? Please sign in and ask a new question.
jacob_klimek
Obsidian | Level 7

Hello,


I have data that looks like :

 

 

ID     TYPE      ANSWER_1     ANSWER_2

1          A                4                      5

1          B                6                      8

1          C                3                      1

2          A                5                      5

2          B                11                    3

2          C                0                      7

 

And I want it to look like:

 

ID         a         b        c

1          4          6       3

2          5          11     0

 

 

I have been trying to mess with proc transpose, but the closest I have gotten has been:

 

proc transpose data=have out=want;

        var   ANSWER_1 ANSWER_2;

        id type;

        by id;

run;

 

This gets close, but it doesn't make the ANSWER_1 and ANSWER_2 wide.

 

Any help would be greatly appreciated.

 

 

 

1 ACCEPTED SOLUTION

Accepted Solutions
Reeza
Super User

Your want dataset doesn't include Answer2 either...

 

I can make a guess as this is what you want, so basically you need to run proc transpose twice and merge the results.

 

proc transpose data=have out=answer1 prefix=A1_;
by id;
id type;
var answer_1;
run;

proc transpose data=have out=answer2 prefix=A2_;
by id;
id type;
var answer_2;
run;

data want;
merge answer1 answer2;
by id;
run;

View solution in original post

3 REPLIES 3
Reeza
Super User

Your want dataset doesn't include Answer2 either...

 

I can make a guess as this is what you want, so basically you need to run proc transpose twice and merge the results.

 

proc transpose data=have out=answer1 prefix=A1_;
by id;
id type;
var answer_1;
run;

proc transpose data=have out=answer2 prefix=A2_;
by id;
id type;
var answer_2;
run;

data want;
merge answer1 answer2;
by id;
run;
Reeza
Super User

If you'd like a more automated way consider the macro here:

http://www.sascommunity.org/mwiki/images/b/be/BB-07-2013.sas

 

Here's how it would look for your data:

 

%transpose(libname_in=work,
                 libname_out=work,
                 data=have,
                 out=want,
                 by=id,
                 prefix=,
                 var=answer_1 answer_2,
                 autovars=,
                 id=type,
                 descendingid=,
                 var_first=Yes,
                 format=,
                 delimiter=,
                 copy=,
                 drop=,
                 sort=,
                 sort_options=,
                 use_varname=,
                 preloadfmt=,
                 guessingrows=,
                 newid=);
YZ89
Calcite | Level 5

data Have;

input ID TYPE : $1. ANSWER_1 ANSWER_2;

datalines;

1 A 4 5

1 B 6 8

1 C 3 1

2 A 5 5

2 B 11 3

2 C 0 7

;

run;

 

proc transpose data=have out=want;

var ANSWER_1 ANSWER_2;

id type;

by id;

run;

Data a1 a2;

set Want;

if _name_='ANSWER_1' then output a1;

else output a2;

drop _name_;

run;

proc sort data=a1;

by ID;

;

run;

proc sort data=a2;

by ID;

run;

data Want;

merge a1 a2 (rename=(A=A2 B=B2 C=C2));

by ID;

run;

 

**** Or: ***;

 

data Want (keep=ID A1-A2 B1-B2 C1-C2);

label ID='ID'

A1='A-1'

B1='B-1'

C1='C-1'

A2='A-2'

B2='B-2'

C2='C-2'

;

array a{*} A1-A2;

array b{*} B1-B2;

array c{*} C1-C2;

array val{*} ANSWER_1 ANSWER_2;

do until(last.ID);

set have;

by ID;

do i=1 to dim(val);

If Type='A' then a{i}=val{i};

else If Type='B' then b{i}=val{i};

else If Type='C' then c{i}=val{i};

end;

end;

if last.ID then do;

output;

do i=1 to dim(val);

a(i)=.;

b(i)=.;

c(i)=.;

end;

end;

run;

 

sas-innovate-2024.png

Don't miss out on SAS Innovate - Register now for the FREE Livestream!

Can't make it to Vegas? No problem! Watch our general sessions LIVE or on-demand starting April 17th. Hear from SAS execs, best-selling author Adam Grant, Hot Ones host Sean Evans, top tech journalist Kara Swisher, AI expert Cassie Kozyrkov, and the mind-blowing dance crew iLuminate! Plus, get access to over 20 breakout sessions.

 

Register now!

What is Bayesian Analysis?

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.

Click image to register for webinarClick image to register for webinar

Classroom Training Available!

Select SAS Training centers are offering in-person courses. View upcoming courses for:

View all other training opportunities.

Discussion stats
  • 3 replies
  • 953 views
  • 0 likes
  • 3 in conversation