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Refers generally to making substantive conclusions from the results of a statistical analysis.

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How do the random effects relate to the fixed effects in the output from a mixed model?

When I run my output from the lmer function for random effects, I get something like this: form_lmer1 <- "y ~ 1 + Var1 + (1+Var1 | group)" fm3 <- lmer(as.formula(form_lmer1), df, REML=FALS …
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