On Tue, May 15, 2012 at 1:59 PM, Bryan Hanson <han...@depauw.edu> wrote: > I see that no one has replied on this, so I'll take a stab.
Hi, Ryan! > This is probably a matter of personal taste, but I would suggest a somewhat > different and simpler approach. What you have done is not strictly an ANOVA, > it's a linear model (they are related). But the particular way you've asked > R to report gives you the answer in terms of the linear model. I did that because it seemed to give me the estimates (means) and standard errors for each factor level in a nice table. > That means your significance stars refer to whether or not the slopes in the > model differ significantly from zero. Perhaps you are aware of this. I'm not. In a dataset with no continuous explanatory variables, where do the slopes come from? I though in this case R only outputs intercepts. > > Anyway, I thought your data set was interesting, so I took the approach that > comes to my mind. Here it is. It might be pretty much self-explanatory, if > not, try ?aov and ?TukeyHSD for details. TukeyHSD looks interesting. I'll look into it. Thanks, robert ______________________________________________ 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.
