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.scha...@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
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