Hi Karl,
this sounds like a variance components problem - I suspect that you
will find that you can tackle it using the lme() or lmer() functions
of the nlme and lme4 packages respectively.
The key reference for this tool is:
@Book{PB00:mixed,
author = {J. C. Pinheiro and D. M. Bates},
title = {Mixed-effects models in S and Splus},
publisher = {Springer-Verlag},
year = 2000
}
Cheers,
Andrew
On Tue, May 16, 2006 at 10:09:54AM +0000, Karl Knoblick wrote:
> Hello!
>
> I want to calculate the intra- and interrater reliability of my study. The
> design is very simple, 5 raters rated a diagnostic score 3 times for 19
> patients.
>
> Are there methods/funtions in R? I only found packages to calculate
> interrater variability and intraclass correlation coefficients for matrices
> of n*m (n subjects, m raters) - I have n subjects, m raters and r repetitions.
>
> Can anybody help?
>
>
> Thanks!
> Karl
>
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--
Andrew Robinson
Department of Mathematics and Statistics Tel: +61-3-8344-9763
University of Melbourne, VIC 3010 Australia Fax: +61-3-8344-4599
Email: [EMAIL PROTECTED] http://www.ms.unimelb.edu.au
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