For your first problem, you can probably do it in 2 statements:
V3 = ifelse(V2==A,V2,V3)
V3 = ifelse(V2==B|V2==C,D,V3)
If you want to split V1 into (0,a],(a,b],(b,c],(c,1], you can do, quite simply
V1.factor = cut(V1, c(0,a,b,c,1))
Abhijit
On Wed, 9 Apr 2008 13:58:17 -0700
Chang Liu <[EMAIL PROTECTED]> wrote:
>
> Hi Gurus:
>
> If I have a large dataset of the form of:
>
> > x <- data.frame(V1 = runif(10), V2 = sample(c('A','B','C'),10,T)) > x
> > V1 V21 0.2691580 A2 0.8711267 B3 0.2674728 C4 0.3278876 A5
> > 0.1809152 A6 0.2499651 C7 0.9155174 A8 0.8004974 B9 0.7885516 A10
> > 0.9301630 A
> And I want a V3 that =V2 if V2=A, and =D if V2=B or C. In other words I want
> to use a vectorized way to combine some levels, rather than having to loop
> through a large dataset.
>
> Similarly, if I want to group V1 into levels, what is a fast way to do it?
>
> Thank you!
> Karen
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Abhijit Dasgupta
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