On Tue, 2010-12-14 at 15:40 +0000, Tianchan Niu wrote:
> Dear all,
> I would like to use cut() to make numerics to factors, the sample codes are
> as follows. However, the result is not what I want, since r[3] = 9 should be
> in the interval of "8-10%" rather than "2-4%". Maybe cut() is not the right
> function to use for my situation. Please help. > r <- c(1,1,9,1,1,1)
> > col_no <- as.factor(as.numeric(cut(r,c(0,2,4,6,8,10,100))))
> > levels(col_no) <- c("<2%","2-4%","4-6%","6-8%","8-10%",">10%")
> > col_no
> [1] <2% <2% 2-4% <2% <2% <2%
> Levels: <2% 2-4% 4-6% 6-8% 8-10% >10%Thanks,
> Tianchan
It would really help if you looked at the intermediary steps of your
calculations to see what went wrong.
The problem is here:
> as.factor(as.numeric(cut(r,c(0,2,4,6,8,10,100))))
[1] 1 1 5 1 1 1
Levels: 1 5
There are 2 levels in the data passed to as.factor, 1 and 5.
levels(...)[1] is 1, and levels(...)[2] is 5. You then assign the values
<2% 2-4% to these two levels. Hence the result
One option is to use factor and specify the levels as 1:6:
> factor(as.numeric(cut(r,c(0,2,4,6,8,10,100))), levels = 1:6)
[1] 1 1 5 1 1 1
Levels: 1 2 3 4 5 6
Using this we have:
> col_no <- factor(as.numeric(cut(r,c(0,2,4,6,8,10,100))), levels = 1:6)
> levels(col_no) <- c("<2%","2-4%","4-6%","6-8%","8-10%",">10%")
> col_no
[1] <2% <2% 8-10% <2% <2% <2%
Levels: <2% 2-4% 4-6% 6-8% 8-10% >10%
I'm sure there are other, possibly better, ways of doing this, but that
is one.
HTH
G
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