Dear R-users I'm considering a repeated measures experiment where two within-subject factors A (2 levels) and B (3 levels) have been measured for each of 14 subjects, S. I wish to test the effect of factor A. I know that a variance component model with random effects S, S:A, S:B and S:A:B can be fitted using aov:
aov( y ~ A*B + Error(S/(A*B)) ) If there is no significant interaction, the test for the effect of A is carried out in the S:A error strata. How can a test for the effect of A be performed using lme from the nlme package? ( lme( y ~ A*B, random=~1|S/(A*B)) is apparently not correct ) Thanks in advance for your advice. Kim. ______________________________________________ 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.
