How do I collapse variables using multiple methods within a BY Statement?

[trphelps15]

I'm using SAS Enterprise Guide 7.1...I have a dataset that I am working to aggregate variables from using two methods: 1) sum and 2) weighted by observation total. A sample of the sort of data that I'm working with is below. So I have multiple IDs that are associated with a single Code variable. Ideally, I'm trying to combine the data to look like the output dataset below (there are something like 2,000 codes with anywhere from 2 to 15 IDs associated with each). Some of the variables are combined simply by summing each observation (i.e. delay) and some are combined by summing the length % times the variable (i.e. at_rur, at_sub, and postspd).

Is there a way to use something like proc means with a by statement to produce the new dataset, but still be able to define how the variables are combined? Thank you in advance for your help!

i.e. 

input dataset

ID	Code	Length	Length %	at_rur	at_sub	postspd	delay
100380	107-10114	1.29	0.28	1	0	55	-
100494	107-10114	0.55	0.12	1	0	55	0.17
100382	107-10114	0.39	0.08	1	0	55	-
100341	107-10114	0.59	0.13	1	0	55	-
100386	107-10114	0.56	0.12	0	1	55	-
100539	107-10114	0.61	0.13	0	1	55	-
103878	107-10114	0.37	0.08	0	1	50	-
100551	107-10114	0.18	0.04	0	1	50	-
103029	107-10114	0.13	0.03	0	1	50	-
	Total	4.66		0.61	0.39	54.28	0.17

output dataset

Code	Length	at_rur	at_sub	postspd	delay
107-10114	4.66	0.61	0.39	54.28	0.17

[Satish_Parida]

It is not clear how you want the output DS to look like, could you please elaborate.

[trphelps15]

I've updated the post to include what the final dataset should look like using the input dataset. I also updated some of the text, so hopefully it is more clear. The input dataset has anywhere from 2 to 15 IDs associated with each Code and there are 1,992 Codes. I'm basically just trying to compile the ID variables into the Codes, but I want to use multiple methods when compiling them. I know I can use proc means with a BY group to output a new dataset that sums all of the variables, but I want some of the variables (i.e. at_rur in my example) to sum by weights. So in my example, at_rur =

(0.28*1)+(0.12*1)+(0.08*1)+(0.13*1)+(0.12*0)...(0.03*0) = 0.61

Same idea for the at_sub and postspd variables. However, the length and delay variables are just a standard sum.

Hopefully this helps! Thank you.

[Satish_Parida · Accepted solution]

proc sql;
create table summery_table as 
select Code, 
        
sum(Length) as Length, 
        
sum(Length_percentage*at_rur) as at_rur, 
        
sum(Length_percentage*at_sub) as at_sub, 
        
sum(Length_percentage*postspd) as postspd , 
        
sum(delay) as delay
from input_dataset
group by Code;
quit;