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Re: testing equality of pairwise correlation across subsamples

To: Patrick Burns <pburns@pburns.seanet.com>
Subject: Re: testing equality of pairwise correlation across subsamples
From: Tim Hesterberg <timh@insightful.com>
Date: 22 Jan 2004 11:05:13 -0800
Cc: phlasky@earthlink.net, s-news@lists.biostat.wustl.edu
In-reply-to: <40100F7F.2000401@pburns.seanet.com> (message from Patrick Burns on Thu, 22 Jan 2004 17:59:27 +0000)
References: <410-220041422171545703@earthlink.net> <40100F7F.2000401@pburns.seanet.com>
>Well, I can give a definitive answer to one of your questions:
>No, the permutation test functions at burns-stat.com do not
>handle ANOVA designs.
>
>If an effect is zero, then the distribution (under some mild
>assumptions) will be the same if you permute the labels for
>that effect.  So if you are testing Size, then you can permute
>the Size labels, but not permute anything that might have an
>effect like Style, Family, and Subject (if I understand your data
>properly).

The resample library supports stratified sampling, including stratified
permutations.  So to test Size, you could stratify on Family and Subject,
then permute values of Size within each combination of Family and Subject.

The library is at www.insightful.com/downloads/libraries

Tim Hesterberg

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