The dataframe looks like this :
Customer_id A B C D E F G
10000001 1 1 2 3 1 3 1
10000001 1 2 3 1 2 1 3
10000002 2 2 2 3 1 3 1
10000002 2 2 1 4 2 3 1
Assume your data is named dat
,
Here's one way using by
and rbind
, although the other two methods (aggregate
and duplicated
) are much nicer:
> do.call(rbind, by(dat,dat$Customer_id,FUN=tail,1))
## Customer_id A B C D E F G
## 2 10000001 1 2 3 1 2 1 3
## 4 10000002 2 2 1 4 2 3 1
## 7 10000003 1 1 2 2 1 2 1
## 11 10000004 1 4 1 4 1 3 1
## 13 10000006 1 3 1 4 1 2 1
## 16 10000008 1 3 1 1 2 2 1