Hi
I have a question regarding an output of a binomial lmer-model.
The model is as follows:
lmer(y~diet * day * female + (day|female),family=binomial)
The corresponding output is:
Generalized linear mixed model fit by the Laplace approximation
Formula: y ~ diet * day * female + (day | female)
AIC BIC logLik deviance
1084 1136 -531.1 1062
Random effects:
Groups Name Variance Std.Dev. Corr
female (Intercept) 1.403060 1.18451
day 0.012044 0.10975 -0.674
Number of obs: 809, groups: female, 53
Fixed effects:
Estimate Std. Error z value Pr(>|z|)
(Intercept) 0.996444 0.713703 1.396 0.1627
dietNAA 1.194581 0.862294 1.385 0.1659
day 0.142026 0.074270 1.912 0.0558 .
female 0.015629 0.019156 0.816 0.4146
dietNAA:day -0.124755 0.088684 -1.407 0.1595
dietNAA:female -0.024733 0.026947 -0.918 0.3587
day:female -0.001535 0.001966 -0.781 0.4348
dietNAA:day:female 0.001543 0.002720 0.568 0.5704
Now from my understanding, the estimates represent differences in slopes
and intercepts between different levels of "diet" and so on.
My questions:
1. Is there a way to display the coefficients for all levels of variables
(e.g., "dietAA" and "dietNAA")? Because it is quite hard to calculate the
slopes and intercepts for all levels of each variable.
2. Is there a way to get the degrees of freedom?
Thanks for your help.
Regards,
Denis Aydin
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