Sumproduct and Weighting

[PetePatel]

Hi,

I have a dataset with multiple ID's that I want to reduce to unique ID's through their respective weightings.

For example, the dataset below shows ID, some additional variables required (Var1, Var2) and the weighting (wt).

id	var1	var2	wt	AR_Q0	AR_Q1	AR_Q2	AR_Q3	AR_Q4	AR_Q5
1	xx	345	0.5	10	11	12	13	14	15
1	xx	345	0.3	50	51	52	53	54	55
1	xx	345	0.2	20	21	22	23	24	25
2	df	321	0.7	30	31	32	33	34	35
2	df	321	0.1	40	41	42	43	44	45
2	df	321	0.2	50	51	52	53	54	55

I need to create multiple each AR_Qx value by the weighting and sum up the rows by ID so it looks like this. For example AR_Q5 is calculated as (15*0.5)+(55*0.3)+(25*0.2)=29

id	var1	var2	AR_Q0	AR_Q1	AR_Q2	AR_Q3	AR_Q4	AR_Q5
1	xx	345	24	25	26	27	28	29
2	df	321	35	36	37	38	39	40

What is the most efficient way of performing this calculation. At the moment I am doing this in Excel.

Note: Unfortunately I am unable to modify the source dataset as it is part of another process.

Thanks in advance.

[PaigeMiller · Accepted solution]

proc summary data=have;
    class id;
    id var1 var2;
    var ar_q0-ar_q5;
    weight wt;
    output out=stats sum=;
run;

[PetePatel]

Thanks Paige!