[R] Interrater and intrarater variability (intraclass correlationcoefficients)

[Doran, Harold]

Well, depending on your design you can get the variance components from lmer or aov. Instead of looking for Hoyt's ANOVA in R, you should look at the method itself and then see how you can use the methods in R for estimating variance components.

> -----Original Message-----
> From: Karl Knoblick [mailto:karlknoblich at yahoo.de] 
> Sent: Wednesday, May 17, 2006 1:50 AM
> To: Doran, Harold; r-help at stat.math.ethz.ch
> Subject: AW: [R] Interrater and intrarater variability 
> (intraclass correlationcoefficients)
> 
> Dear Harold,
>  
> Thanks! I searched for Hoyt's Anova in R - but without 
> success. Do you know if there is something available in R?
>  
> Karl
> 
> ----- Ursprüngliche Mail ----
> Von: "Doran, Harold" <HDoran at air.org>
> An: Karl Knoblick <karlknoblich at yahoo.de>; r-help at stat.math.ethz.ch
> Gesendet: Dienstag, den 16. Mai 2006, 13:52:00 Uhr
> Betreff: RE: [R] Interrater and intrarater variability 
> (intraclass correlationcoefficients)
> 
> 
> It sounds as thought you are interested in Hoyt's Anova which 
> is a form of generalizability theory. This is usually 
> estimated using by getting the variance components from ANOVA.
> 
> > -----Original Message-----
> > From: r-help-bounces at stat.math.ethz.ch 
> > [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Karl Knoblick
> > Sent: Tuesday, May 16, 2006 6:10 AM
> > To: r-help at stat.math.ethz.ch
> > Subject: [R] Interrater and intrarater variability (intraclass 
> > correlationcoefficients)
> > 
> > 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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