[R] Interrater and intrarater variability (intraclass correlation coefficients)

[John Fox]

Dear Andrew and Karl,

See the irr, condord, and psy packages.

Regards,
 John

On Tue, 16 May 2006 20:37:00 +1000
 Andrew Robinson <A.Robinson at ms.unimelb.edu.au> wrote:
> 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: a.robinson at ms.unimelb.edu.au
>         http://www.ms.unimelb.edu.au
> 
> ______________________________________________
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--------------------------------
John Fox
Department of Sociology
McMaster University
Hamilton, Ontario, Canada
http://socserv.mcmaster.ca/jfox/