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:[EMAIL PROTECTED] > Sent: Wednesday, May 17, 2006 1:50 AM > To: Doran, Harold; [email protected] > 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" <[EMAIL PROTECTED]> > An: Karl Knoblick <[EMAIL PROTECTED]>; [email protected] > 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: [EMAIL PROTECTED] > > [mailto:[EMAIL PROTECTED] On Behalf Of Karl Knoblick > > Sent: Tuesday, May 16, 2006 6:10 AM > > To: [email protected] > > 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 > > > > ______________________________________________ > > [email protected] mailing list > > https://stat.ethz.ch/mailman/listinfo/r-help > > PLEASE do read the posting guide! > > http://www.R-project.org/posting-guide.html > > > ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
