Re: [R] Comparing kendall's tau values?

From: Ben Bolker <>
Date: Wed, 23 Apr 2008 14:17:58 +0000 (UTC)

Ashton, Gail <ashtong <at>> writes:

> I have 3 variables relating to the successful introductions of species
> to 95 different areas: introduction frequency; number of successes pre
> 1906; number of successes post 1906
> The data are not normal, nor homo-skedatic, so I am using non-parametric
> statistics.
> I have calculated Kendall's tau between both introduction & successes
> pre 1906 (tau=0.3903) and introduction & successes post 1906
> (tau=0.3317)- pre + post values are independent.
> Is it possible to test whether there is a significant difference between
> the tau values, ie one correlation is 'significantly' 'better'? Is there
> a way to calculate confidence intervals for tau?
> Thanks,
> Gail

  I think I would try bootstrapping/permutation tests in this case.   Just a warning: nonparametric tests do _not_ necessarily do what you think in the case of heteroscedasticity -- they are often constructed to test for a difference in location parameter, assuming the same distribution around the location parameter (mean, median etc.) -- i.e. assuming homoscedasticity.

   Any chance of using GLMs (i.e., treating success as a binary variable)?

  Ben Bolker mailing list PLEASE do read the posting guide and provide commented, minimal, self-contained, reproducible code. Received on Wed 23 Apr 2008 - 15:56:05 GMT

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