Reputation: 4524
I have data which is as follows.
data have;
input group replicate $ sex $ count;
datalines;
1 A F 3
1 A M 2
1 B F 4
1 B M 2
1 C F 4
1 C M 5
2 A F 5
2 A M 4
2 B F 6
2 B M 3
2 C F 2
2 C M 2
3 A F 5
3 A M 1
3 B F 3
3 B M 4
3 C F 3
3 C M 1
;
run;
I want to break the count
column into two separate columns based on gender.
count_ count_
Obs group replicate female male
1 1 A 3 2
2 1 B 4 2
3 1 C 4 5
4 2 A 5 4
5 2 B 6 3
6 2 C 2 2
7 3 A 5 1
8 3 B 3 4
9 3 C 3 1
This can be done by first creating two separate data sets for each level of sex
and then performing a merge.
data just_female;
set have;
where sex = 'F';
rename count = count_female;
run;
data just_male;
set have;
where sex = 'M';
rename count = count_male;
run;
data want;
merge
just_female
just_male
;
by
group
replicate
;
keep
group
replicate
count_female
count_male
;
run;
Is there a less verbose way to do this which doesn't require the need to sort or explicitly drop/keep variables?
Upvotes: 0
Views: 274
Reputation: 1103
You can do this using proc transpose
but you will need to sort the data. I believe this is what you're looking for though.
proc sort data=have;
by group replicate;
run;
The data is sorted so now you have your by-group
for transposing.
proc transpose data=have out=want(drop=_name_) prefix=count_;
by group replicate;
id sex;
var count;
run;
proc print data=want;
Then you get:
Obs group replicate count_F count_M
1 1 A 3 2
2 1 B 4 2
3 1 C 4 5
4 2 A 5 4
5 2 B 6 3
6 2 C 2 2
7 3 A 5 1
8 3 B 3 4
9 3 C 3 1
Upvotes: 1