I found it:

quantile(ordered(1:10), probs=0.5, type=1) 

works, because type=1 seems to round up or down, whatever. The default option 
for is 7, which wants to interpolate, and then produces the error. 

Two options come to my mind:

- The error message could be improved.
- The default type could be 1 if the data is from ordered categories.
- Or both.

It is probably a little thing to fix, but I lack the skills to do this myself.

Best wishes,

Matthias

Von: Bert Gunter
Gesendet: Dienstag, 14. März 2017 21:34
An: matthias-gon...@gmx.de
Cc: r-help@r-project.org
Betreff: Re: [R] Quantiles with ordered categories

Inline.
Bert Gunter

"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Tue, Mar 14, 2017 at 12:36 PM,  <matthias-gon...@gmx.de> wrote:
> Dear R users,
>
> This works:
>
> quantile(1:10, probs=0.5)
>
> This fails (obviously):
>
> quantile(factor(1:10), probs=0.5)
>
> But why do quantiles for ordered factors not work either?
>
> quantile(ordered(1:10), probs=0.5)
>
> Is it because interpolation (see the optional type argument) is not defined?
Yes.


Is there an elegant workaround?
No. How can there be? By definition, all that is assumed by an ordered
factor is an ordering of the categories. How can you "interpolate" in
ordered(letters[1:3]) . ASAIK there is no "a.5"  .

-- Bert



>
> Thank you.
>
> Best wishes,
>
> Matthias
>
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>
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