Hello. I'm running a generalized linear model and am interested in using the random effects that are output for further analysis. My random effect is interacting with two different fixed effects (which which are factors with two levels each). When I retrieve the random effects I get something like this: (Intercept) nutrient (Intercept) light (Intercept) Aa-0 0.59679192 0.34824858 2.241424479 -2.335037842 0.775359364 Ag-0 -2.73719135 2.10428715 -0.980046942 -1.832587350 -1.938942967 Ak-1 -0.13221525 1.03282635 -0.624239559 1.594044342 0.313188938 Alc-0 1.16506640 -0.05914007 1.964024728 -1.133954211 1.190791025 ALL1-2 -1.06702524 -0.55728016 -0.019232427 -2.389703709 -1.357733079 Alst-1 -1.59281754 0.23968834 -1.506568899 -0.280839171 -1.558589679 Amel-1 0.46083213 -0.02787653 0.885634543 -0.632460142 0.469048098
So...3 intercepts and two values for the interaction terms. My questions are: Which one is the straight-up intercept for the random term itself? How do I get the predictor/estimate (basically, the BLUP) for the different interaction levels? Thanks, Ginnie [[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.