the quantile function and problems.
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 at 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 at r-project.org> On Behalf Of Ivan Krylov Sent: Friday, July 15, 2022 2:21 AM To: Uwe Brauer <oub at mat.ucm.es> Cc: r-help at r-project.org Subject: Re: [R] the quantile function and problems. [External Email] ? Thu, 14 Jul 2022 14:58:17 +0200 Uwe Brauer <oub at mat.ucm.es> ?????:
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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