09-23-2017 04:12 PM
If I have a dataset like this
I want to group by Metric and Prod.
Proc sql; create table want as select metric, prod, sum(r_1) as r_1, sum(r_2) as r_2, sum(r_3) as r_3, sum(r_4) as r_4 from have group by metric, prod; quit;
Here since it has only 4 variables to sum so I can write from R_1 to R_4. What if I had 100 variables to sum? What is the efficient way of doing this?
09-23-2017 04:16 PM
You can use a wildcard variable name in proc summary:
proc summary data=have sum; by metric prod; var r_:; run;
If you absolutely want to do it in SQL, you can use a macro loop to generate the summations.
09-23-2017 06:21 PM
SAS/SQL doesn't support variable lists the way the data step and SAS procs do. One alternative is to do the SQL summations on a transposed version of your dataset.
09-28-2017 08:19 AM
The pure SQL way is to use dictionary.tables:
proc sql noprint; /* noprint because we do not want to see the SELECT INTO results as a table */ select catx(' ','sum(',name,') as', name) into :sums separated by ',' from dictionary columns where libname='WORK' and memname='HAVE' and upcase(name) like 'R%' ; create table want as select metric, prod, &sums from have group by metric,prod ; quit;