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Dear Sas Community:
I am trying to calculate a a weighted Average Interest Rate for a company that may have several subsidiaries that borrow at different interest rates.
I have the following table:
CompanyNum | SubsidiaryNum | Amount | Rate |
1 | 23 | 45000000 | 355 |
1 | 24 | 35000000 | 405 |
I want the following table:
CompanyNum | Total Amount | Weighted Average Rate |
1 | 80000000 | 376.875 |
How can I do that using SAS Proc SQL. Any suggestions. Basically I would like to have my analysis at the company level.
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data watch;
input CompanyNum SubsidiaryNum Amount Rate;
datalines;
1 23 45000000 355
1 24 35000000 405
;
run;
proc sql;
select
CompanyNum,
sum(Amount) as Total_Amount,
sum(Amount*Rate)/sum(Amount) as wRate
from watch
group by CompanyNum;
quit;
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Why not use the procedure that SAS intended for this purpose? It would be easy to expand the number of vars, or request other statistics (std, var, min, max, median, various percentiles etc.)
proc summary data=have noprint nway ;
class companynum;
var rate;
weight amount;
output out=want (drop=_type_ _freq_) sumwgt(rate)=total_amount mean(rate)=wrate ;
run;
The hash OUTPUT method will overwrite a SAS data set, but not append. That can be costly. Consider voting for Add a HASH object method which would append a hash object to an existing SAS data set
Would enabling PROC SORT to simultaneously output multiple datasets be useful? Then vote for
Allow PROC SORT to output multiple datasets
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