I have input data like this:
Pat_ID Discharge_Date Paid
AA 55.00
AA 0.00
AA 01/01/2012 -180.00
AA 04/01/2012 44.00
AA 37.00
AA 54.00
AA 0.00
BB -200
BB 09/23/2012 0.00
BB 54.00
I need to sum Paid by two ways, just grouping by Pat_ID and alternately by Discharge_Date and Pat_ID (so only the ones with not blank discharge dates are summed). I know I can just create a sub-table with If Discharge_Date NE '' and sum the remaining Pat_ID's but was wondering if there's a way to do it in one step, more or less? I also have 1580312 observations so I wonder if a proc sql method is better than the data step and sum.
I agree with Reeza. With an output data set from proc summary there will be a variable _type_ that describes the combinations of the class variables.
Proc summary data=have;
class Pat_id Discharge_date;
var paid;
output out=want sum=;
run;
for example.
By default you well get a sum for 1) all records 2) each Pat_id 3) each Discharge_date and 4) each unique combination of Pat_id and Discharge_date.
I would recommend proc means/univariate/summary, especially since you can calculate sub-totals without an additional step.
Look into the CLASS, WAYS and TYPE statement in proc means.
I agree with Reeza. With an output data set from proc summary there will be a variable _type_ that describes the combinations of the class variables.
Proc summary data=have;
class Pat_id Discharge_date;
var paid;
output out=want sum=;
run;
for example.
By default you well get a sum for 1) all records 2) each Pat_id 3) each Discharge_date and 4) each unique combination of Pat_id and Discharge_date.
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