[R-sig-ME] Random slopes for categorical variables

[Phillip Alday]

Yes.

Well, to be more precise 0 + CAT and 1 + CAT estimate different
contrasts and so the correlation you're estimating correspond to
whatever contrast comes out.

Same deal for 1 + CAT with sum vs treatment vs. Helmert coding.

On 5/10/21 10:20 pm, Timothy MacKenzie wrote:
> Hello All,
> 
> I had a basic question. For continuous variables (X) killing the
> intercept in the random part kills the correlation between random
> effects (intercepts and slopes):
> 
> (0 + X | ID)
> 
> But for categorical variables (CAT) killing the intercept actually
> allows for all levels of CAT (including the reference level) to be
> correlated that is:
> 
> (0 + CAT | ID) estimates more correlations than (CAT | ID)
> 
> Am I correct?
> 
> Thanks,
> Tim M
> 
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