Thanks for the suggestions!

However all these functions don't produce exactly what I want
(at least with my actual data).


I need a split-algorithm that converts the values of my vectors into four factors.
And the crucial part is, that I need exactly the same number of elements in each factor-level
and no overlapping.



cut() seems to find equal intervals – but that leads to different numbers of elements in each interval.


library(lattice)
equal.count(x,number=4,overlap=0)

seems to do the job, but strangely enough, it seems to ignore the argument 'overlap = 0' in my actual vector –
I get factor-borders that overlap.
And I really have to prevent this.




On 09.09.2011, at 17:49, Andrea Spano wrote:

> cut ( x , c(0, 1.4 ,6, 8, Inf ), labels = 1:4, include.lowest = T)
> 
> On 9 September 2011 17:34, Martin Batholdy <batholdy@googlemail.com> wrote:
> Hi,
> 
> is there a function or an easy way to convert a variable with continuous values into a categorial variable (with x levels)?
> 
> here is what I mean:
> 
> 
> I want to transform x:
> 
> x <- c(3.2,  1.5,  6.8,  6.9,  8.5,  9.6,  1.1,  0.6)
> 
> into a 'categorial'-variable with four levels so that I get:
> 
> [1] 2 2 3 3 4 4 1 1
> 
> so each element is converted into its rank- value / categorial-value
> (in this example four levels are created).
> 
> 
> 
> thanks for any suggestions!
> 
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> 
> -- 
> Andrea Spano'
> 
> Quantide s.r.l
> +39 347 747 04 92.
> andrea.spano@quantide.com
> 
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