[R-sig-ME] Random slopes for categorical variables
me @end|ng |rom ph||||p@|d@y@com
Wed Oct 6 05:23:23 CEST 2021
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?
> Tim M
> R-sig-mixed-models using r-project.org mailing list
More information about the R-sig-mixed-models