Hi Guys,
using the code* below I obtain this:
| Obs | race | sex | count |
| 1 | black | female | 1 | |
| 2 | black | male | 2 | |
| 3 | latin | female | 1 | |
| 4 | latin | male | 2 | |
| 5 | oriental | male | 1 |
code*:
-------------------------------------------------------
data have;
length subno 4 race $10 sex $10;
input subno race sex ;
datalines;
1 black male
2 black female
3 latin male
4 latin male
5 black male
6 latin female
7 oriental male
;
run;
proc sql;
create table race as
select race, sex
,count(distinct subno) as count
from have
group by race, sex;
quit;
proc print data=race; run;
------------------------------------------------------
Anyone can help me to get the final table below using proc sql?....note: (please I know how to get the final table using proc transpose, but I would like to know how to do it with proc sql), thanks.
Final table:
race male female total
black 2 1 3
latin 2 1 3
oriental 1 0 1
V.
OK, proc sql it is:
proc sql;
select race, sum(sex='male') as male, sum(sex='female') as female, count(race) as total
from have
group by race;
quit;
Haikuo
OK, proc sql it is:
proc sql;
select race, sum(sex='male') as male, sum(sex='female') as female, count(race) as total
from have
group by race;
quit;
Haikuo
April 27 – 30 | Gaylord Texan | Grapevine, Texas
Walk in ready to learn. Walk out ready to deliver. This is the data and AI conference you can't afford to miss.
Register now and lock in 2025 pricing—just $495!
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.