Hi Joe, you might want to have a look at the nlme package with the lme command. Another option is the more advanced lmer package.
Lastly, you could have a look at the ?aov command, and notice the option of using the +Error() term (but that would only work for balanced design cases, so I've heard, so be aware) Tal On Sat, Feb 14, 2009 at 8:46 PM, Joe King <j...@joepking.com> wrote: > Hi all, I am trying to run a two factor anova, but one of the factors is a > random factor, now I am also running in SPSS and it seems its dividing by > the wrong term to get the appropriate F term. here is my data. In SPSS the > F > scores about double the ones in R, how can I specify one of my factors as a > random factor or change it to where it does the right model fitting? I am > using the lm command instead of glm. I am new to R so this might seem > basic. > > > > Joe King, M.A. > <mailto:j...@joepking.com> j...@joepking.com > > "Never give in, never give in, never; never; never; never - in nothing, > great or small, large or petty - never give in except to convictions of > honor and good sense" - Winston Churchill > > > > "You have enemies? Good. That means you've stood up for something, sometime > in your life." - Winston Churchill > > > > > [[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. > -- ---------------------------------------------- My contact information: Tal Galili Phone number: 972-50-3373767 FaceBook: Tal Galili My Blogs: www.talgalili.com www.biostatistics.co.il [[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.
