Message-ID: <50008B60.3080206@ucalgary.ca>
Date: 2012-07-13T20:56:00Z
From: Peter Ehlers
Subject: significance test interquartile ranges
In-Reply-To: <CAEhWdG6GzqcBpXz-j24j2wdVnKtwU-SdjTsTOwMGSuc8QOQhtQ@mail.gmail.com>
On 2012-07-13 13:33, Weidong Gu wrote:
> Hi Joerg,
>
> Seems Mann-Whitney-Wilcoxon test (ks.test in R) would do the work
> which tests differences anywhere in two distributions, e.g. tails,
> interquartiles and center.
The ks.test() function refers to the Kolmogorov-Smirnov test,
not the Wilcoxon test.
The OP might find this link helpful (I haven't used it, and
beware of mailer linebreaks):
http://www.r-statistics.com/2010/02/siegel-tukey-a-non-parametric-test-for-equality-in-variability-r-code/
Peter Ehlers
>
> Weidong Gu
>
> On Fri, Jul 13, 2012 at 7:32 AM, Schaber, J?rg
> <joerg.schaber at med.ovgu.de> wrote:
>> Hi,
>>
>> I have two non-normal distributions and use interquartile ranges as a dispersion measure.
>> Now I am looking for a test, which tests whether the interquartile ranges from the two distributions are significantly different.
>> Any idea?
>>
>> Thanks,
>>
>> joerg
>>
>> [[alternative HTML version deleted]]
>>
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>
> ______________________________________________
> R-help at r-project.org mailing list
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>