Obviously, cut would do the job if one knows the number of intervals in
advance, which I assume I won't. I guess what I'm looking for is a function
that figures out the number of intervals and their boundaries.
Sebastien
On Tue, Dec 6, 2011 at 3:29 AM, Sébastien Bihorel <pomc...@free.fr> wrote:
> Dear R-users,
>
> I would like to know if there is a function (in base R or the extension
> packages) that would automatically detect the break points in a vector x
> for later use in the cut function. The idea is to determine the boundaries
> of the n intervals (n>=1) delimiting clusters of data points which could be
> considered "reasonably" close, given a numerical vector x with unknown
> content and unknown multimodal distribution.
>
> For instance, given for the vector x defined by set.seed(1234); x <-
> sort(c(rnorm(20,-1,0.1),rnorm(
> 10,5,0.1),rnorm(10,100,0.1))), this function would return a vector of 4
> points: min(x), one value between 20 and 5, one value between 5 and 100,
> and max(x).
>
> Thank you in advance for your suggestions.
>
> Sebastien
>
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