Terrific help thank you.  
dupbuild<-aggregate(DF$Acres, list(Bldgid), sum)
This line worked best.

Now im going to challenge everyone (i think?)

Consider the following:


Acres<-c(100,101,100,130,156,.5,293,300,.09,100,12.5)
Bldgid<-c(1,2,3,4,5,5,6,7,7,8,8)
Year<-c(1946,1952,1922,1910,1955,1955,1999,1990,1991,2000,2000)
ImpValue<-c(1000,1400,1300,900,5000,1200,500,1000,300,1000,1000)
DF=cbind(Acres,Bldgid,Year,ImpValue)
DF<-as.data.frame(DF)

I would like to do the same, except there are some rules i want to follow. 
I only want to aggregate the Acres if :
a) The Years are not identical
b) The ImpValues are not identical
c) The Years are identical and the ImpValue are not 
d)The ImpValues are identical and the Years are not

but if the Acres and ImpValues are identical i would still like to add the
Acres together and form one case.
If the cases are put together i would also like to add the ImpValues
together.  So the below 

    Acres Bldgid Year ImpValue
1  100.00      1 1946     1000
2  101.00      2 1952     1400
3  100.00      3 1922     1300
4  130.00      4 1910      900
5  156.00      5 1955     5000
6    0.50      5 1955     1200
7  293.00      6 1999      500
8  300.00      7 1990     1000
9    0.09      7 1991      300
10 100.00      8 2000     1000
11  12.50      8 2000     1000

would become 

    Acres Bldgid Year ImpValue
1  100.00      1 1946     1000
2  101.00      2 1952     1400
3  100.00      3 1922     1300
4  130.00      4 1910      900
5  156.50     5 1955     6200
7  293.00      6 1999      500
8  300.09     7 1990     1300
10 112.50      8 2000     1000

Thanks, i gave it a bunch of shots but nothing worth posting.





PDXRugger wrote:
> 
> Hello All, 
>    I would like to select records with identical IDs then sum an attribute
> then and return them to the data frame as a single record.  Please
> consider
> 
> 
> Acres<-c(100,101,100,130,156,.5,293,300,.09)
> Bldgid<-c(1,2,3,4,5,5,6,7,7)
> 
> DF=cbind(Acres,Bldgid)
> DF<-as.data.frame(DF)
> 
> So that:
> 
>   Acres Bldgid
> 1 100.00      1
> 2 101.00      2
> 3 100.00      3
> 4 130.00      4
> 5 156.00      5
> 6   0.50      5
> 7 293.00      6
> 8 300.00      7
> 9   0.09      7
> 
> Becomes
> 
>   Acres Bldgid
> 1 100.00      1
> 2 101.00      2
> 3 100.00      3
> 4 130.00      4
> 5 156.50      5
> 7 293.00      6
> 8 300.09      7
> 
> dup<-unique(DF$Bldgid[duplicated(Bldgid)])
> dupbuild<-DF[DF$Bldgid %in% dup,]
> dupbuild..dupareasum<-sum(dupbuild$Acres[duplicated(dupbuild$Bldgid)])
> 
> This sums the unique Ids of the duplicated records, not whati want. 
> Thanks ahead of time
> 
> JR
> 
> 
> 

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