Hello,
In the software article vignette, it says that
resp ~ FEexpr + (REexpr1|factor1)
is the general format of mixed models. However, there's a sleep study example which has
fm1 <- lmer(Reaction ~ Days + (Days | Subject), sleepstudy)
When I look at those two formulae, I see that Days matches both FEexpr and REexpr1. I thought that a factor could be a fixed effect or random effect, but not both. In lectures, I remember fixed and random effects as being exclusive, depending on if all the levels were measured, or just a subset of them.
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Dario Strbenac
PhD Student
University of Sydney
Camperdown NSW 2050
Australia