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 > > ______________________________________________ > R-help@stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html -- 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 ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html