And in that vein, the recently released MethComp package by Bendix Carstensen may be of service.
HTH, Dennis On Fri, Feb 25, 2011 at 5:39 AM, Marc Schwartz <marc_schwa...@me.com> wrote: > On Feb 24, 2011, at 4:50 PM, Denis Kazakiewicz wrote: > > > Dear R people > > Could you please help with following > > > > Trying to compare accuracy of tumor size evaluation by different > > methods. So data looks like > > > > id true metod1 method2 ... > > 1 2 2 2.5 > > 2 1.5 2 2 > > 3 2 2 2 > > > > etc. > > > > Could you please give a hint how to deal with that. > > Seems like {merror} does not suite to me because I am trying to compare > > accuracy of measurements with their true known values not just overall > > agreement of methods. > > Moreover sample size is ridiculously small (33 patients) so ANOVA is not > > much of help (or is it?) > > Any suggestions, hints and even guesses are highly appreciated. I am > > stuck a bit. > > > Denis, > > I would suggest that you start here: > > http://www-users.york.ac.uk/~mb55/meas/meas.htm > > This covers various resources pertaining to the design and analysis of > measurement studies, primarily based upon methods by Bland and Altman. > > HTH, > > Marc Schwartz > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.