Hello everyone, I am running a mixed effects model where I have two fixed factors, one with 2 levels and one with 4, and their interaction. Let's say these are my factors and their levels:
FirstFactor: 1, 2 SecondFactor: A, B, C, D For the interaction, I am interested in the four two-way comparisons, not the two four-way comparisons. In other words, I want to test whether 1A is significantly different than 2A, whether 1B is significantly different than 1B, etc; I am not interested in the comparison of 1A~1B~1C~1D. However, the latter comparisons are what the coefficients seem to give me when I summarize my model. For instance, the coefficient for the interaction term "FirstFactor2:SecondFactorB" doesn't tell me how different 2B is from 1B, it tells me how different 2B is from 2A. Is there a straightforward way to code the contrasts so that the coefficients I get for the interaction terms do the comparisons I'm interested in? Thank you for your advice, Steve Politzer-Ahles -- Stephen Politzer-Ahles University of Kansas Linguistics Department http://www.linguistics.ku.edu/ [[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.
