If you use the library lme4
library(lme4)
fit <- lmer(y ~ x1 + x2 (1+ x1 + x2|group), data = test.df)
coef(fit)
Use coef() on your fitted object to see the slopes.
Question
I am performing a mixed model with nlme
package in R. My situation is:
The mixed model is:
MY = DFC + DFC2, random=~DFC|Animal, data=my_data)
where Animal
is the random effect.
However, if I write the model like this, I can only obtain random intercept, and slope for DFC
(by Animal
), but not DFC2
.
I would like to have also the random slope (by Animal
) for DFC2
!
Could you please help me?
Thank you very much,
Solution
If you use the library lme4
library(lme4)
fit <- lmer(y ~ x1 + x2 (1+ x1 + x2|group), data = test.df)
coef(fit)
Use coef() on your fitted object to see the slopes.