How does one go about doing a repeated measure regression? The documentation I have on it (Lorch & Myers 1990) says to use linear / (subj x linear) to get your F. However, if I put subject into glm or lm I can't get back a straight error term because it assumes (rightly) that subject is a nominal predictor of some sort.
In looking at LME it seems like it just does the right thing here if I enter the random effect the same as when looking for ANOVA like results out of it. But, part of the reason I'm asking is that I wanted to compare the two methods. I suppose I could get it out of aov but isn't that built on lm? I guess what I'm asking is how to calculate the error terms easily with lm. ______________________________________________ R-help@stat.math.ethz.ch 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.
