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2006 Dec 28
0
lmer: Interpreting random effects contrasts and model formulation
...4 1.4422308 1.200929 0.992 0.986 0.985 0.980 Residual 0.0025377 0.050375 How do I interpret these contrasts? If it were fixed effects, it would be treatment contrasts which I understand. Is it a similar thing here where the Variance of 39.57 for popP1 is actually: Variance(popP0 - popP1) = Variance(popP0) + Variance(popP1) - 2*Corr(popP0,popP1)*StdDev(popP0)*StdDev(popP1) => 39.57 = 52.12 + StdDev(popP1)^2 - 2*0.995*7.219522*StdDev(popP1) (e) Question 3: For the model (c), there is another line at the top of the results with the intercept corresponding to (1|Populat...