[R] significance test interquartile ranges

[Weidong Gu]

Sorry, I meant Kolmogorov-Smirnov test.

Thanks Peter for correction.

Weidong

On Fri, Jul 13, 2012 at 4:56 PM, Peter Ehlers <ehlers at ucalgary.ca> wrote:
> 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, Jörg
>> <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
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>> and provide commented, minimal, self-contained, reproducible code.
>>
>
>