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.
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;
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;
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=);
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 2025 is scheduled for May 6-9 in Orlando, FL. Sign up to be first to learn about the agenda and registration!
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.
Ready to level-up your skills? Choose your own adventure.