Building models
In this exercise, you will build a simple linear model (lm()) and then build a linear mixed-effects model (lmer()). The purpose of the first step is to make sure the data works well with a simple model because lm() outputs are easier to debug than lmer() outputs. During the next exercise, you will compare two different methods of statistical inference on the model.
Den här övningen är en del av kursen
Hierarchical and Mixed Effects Models in R
Interaktiv övning med praktiskt arbete
Testa den här övningen genom att slutföra den här exempelkoden.
# Build a simple linear model
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