On Mon, Nov 19, 2012, at 18:26, David Winsemius wrote: > My guess is that you do not understand the meaning of a "random > factor". I certainly did not when I first encountered it. All my > training had been with ordinary regression and analysis of variance. > These are methods for what in mixed models are fixed effects. My > opinion is that these terms are completely confusing to the new > student of this sort of analysis.
You're absolutely right---the distinction of fixed vs. random factors is confusing. However, I was under the impression that all factors in a gage R&R study were random, since we're trying to determine the sources of variability on the system. > My guess is the you may just want the output of: > > lm( vals ~ f1 * f2 * f3, data = yourdat) I'm trying to get the variance component estimates, and from there, I can calculate the percent tolerance and other interesting statistics. It doesn't look like lm gives me that information, though. FWIW, your formula is the same as what I'm feeding into aov, and the ANOVA table output *does* match up with what Minitab is producing. Matt ______________________________________________ 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.
