Berwin A Turlach wrote:
G'day Simone,
On Sun, 30 Nov 2008 11:05:13 +0100
Simone Gabbriellini <[EMAIL PROTECTED]> wrote:
my problem should be easy to fix, but I couldn't find a solution by
myself...
In my survey, there is a question with 14 possible answers. None of
the respondents choose the 13th answer, so when I table() the
results, R says:
[...]
13 is missing... anyone knows how to tell table() that there are 14
modalities in the answers?
The easiest way is probably to turn your data into a factor with the
appropriate set of levels:
R> dat <- sample(c(1:12,14), 100, replace=TRUE)
R> table(factor(dat, levels=min(dat):max(dat)))
1 2 3 4 5 6 7 8 9 10 11 12 13 14
9 5 4 7 7 11 8 10 9 8 6 11 0 5
that was once the solution of one of my colleagues and I find it
somewhat nicer than the one I came up with:
R> rng <- min(dat):max(dat)
R> res <- colSums(outer(dat, min(dat):max(dat), "=="))
R> names(res) <- rng
R> res
1 2 3 4 5 6 7 8 9 10 11 12 13 14
9 5 4 7 7 11 8 10 9 8 6 11 0 5
Notice, though, that you don't always want to have the limits being
data-dependent either. E.g. if you have multiple questions of the
variety "on a scale of 1:5 how do you feel...", you presumably want your
barcharts on the same scale even if some questions are all 1's or all 5's.
So the straightforward table(factor(x,levels=1:14)) might be preferable.
--
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