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Mixed (aka multilevel or hierarchical) models are linear models that include both fixed effects and random effects. They are used to model longitudinal or nested data.

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R square in mixed model with random effects

The R package MuMIn also now has a function for calculating Nakagawa and Schielzeth's r-squared for mixed models. That is the function r.squaredGLMM() and you simply feed it a lmer object (from packa …
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2 votes
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Questions about mixed model design with repeated measures/nesting/incomplete design

I have data from a incomplete factorial experiment with repeated measures and potential nesting and am trying to figure out 1) the right way to design the mixed model to analyze the data, and 2) how t …
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