[R] the quantile function and problems.

[Bert Gunter]

This is now wandering from R-Help to statistical issues, which are
slightly off topic.

But the answer should be no, as the tests are calculated from the
underlying data, not quantile estimates.


Cheers,
Bert

On Fri, Jul 15, 2022 at 8:55 AM Ebert,Timothy Aaron <tebert using ufl.edu> wrote:
>
> Does the choice in how the quantile is calculated influence the validity of a statistical test for differences in the median?
> Regards,
> Tim
>
> -----Original Message-----
> From: R-help <r-help-bounces using r-project.org> On Behalf Of Ivan Krylov
> Sent: Friday, July 15, 2022 2:21 AM
> To: Uwe Brauer <oub using mat.ucm.es>
> Cc: r-help using r-project.org
> Subject: Re: [R] the quantile function and problems.
>
> [External Email]
>
> В Thu, 14 Jul 2022 14:58:17 +0200
> Uwe Brauer <oub using mat.ucm.es> пишет:
>
> > What turns me crazy is that the way R, matlab and the JCR calculate
> > the quartiles gives different results.
>
> R by itself can give up to 9 slightly different results:
>
> sapply(1:9, function(type) quantile(1:267, 1:3/4, type = type))
> #     [,1] [,2] [,3]   [,4]   [,5] [,6]  [,7]      [,8]     [,9]
> # 25%   67   67   67  66.75  67.25   67  67.5  67.16667  67.1875
> # 50%  134  134  134 133.50 134.00  134 134.0 134.00000 134.0000 # 75%  201  201  200 200.25 200.75  201 200.5 200.83333 200.8125
>
> Choose the ones that fit your ideas of quantile best. See ?quantile for more info.
>
> --
> Best regards,
> Ivan
>
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