Dear R users,
Basically, from the following arbitrary data set:
a <-
data.frame(id=c(c("A1","A2","A3","A4","A5"),c("A3","A2","A3","A4","A5")),loc=c("B1","B2","B3","B4","B5"),clm=c(rep(("General"),6),rep("Life",4)))
> a
id loc clm
1 A1 B1 General
2 A2 B2 General
3 A3 B3 General
4 A4 B4 General
5 A5 B5 General
6 A3 B1 General
7 A2 B2 Life
8 A3 B3 Life
9 A4 B4 Life
10 A5 B5 Life
I desire removing records (highlighted records above) with identical values
in each fields ("id" & "loc") but with different value of "clm" (i.e
according to category)
i.e
> categ <- table(a$id,a$clm)
> categ
General Life
A1 1 0
A2 1 1
A3 2 1
A4 1 1
A5 1 1
The desired output is
id loc clm
1 A1 B1 General
6 A3 B1 General
Because the data set I am working on is quite big (~ 800,000 x 20)
with majority of the fields values being long strings, looping turned out to
be very inefficient in comapring individual rows..
Are there any alternative efficient methods in implementing this problem?
Greatly appreciate for your expertise.
Steven
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