Dear all,
I'm trying to select from a dataframe all rows which correspond to a
factor (the id variable) for which there exists at least one positive
value of a certain variable. As an example:
x <-
data.frame(matrix(c(rep(11,4),rep(12,3),rep(13,3),rep(0,3),1,rep(0,4),rep(1,2)),ncol=2))
> x
X1 X2
1 11 0
2 11 0
3 11 0
4 11 1
5 12 0
6 12 0
7 12 0
8 13 0
9 13 1
10 13 1
and I want to select all rows pertaining to factor levels of X1 for
which exists at least one "1" for X2. To be clear, I want rows 1:4
(since there exists at least one observation for X1==11 for which
X2==1) and rows 8:10 (likewise).
It is easy to obtain the corresponding factor levels (i.e.,
unique(x$X1[x$X2==1])), but I got stalled selecting the corresponding
rows. I tried grep, but then I have to loop and concatenate the
resulting vector. Any ideas?
Thanks a lot!
Stephan
--
-----------------------
Stephan Lindner
University of Michigan
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