significance test interquartile ranges
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, 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
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