Re: [R] random effects correlation in lmer

Malter Betreff: Re: [R] random effects correlation in lmer HI Daniel: I liked your explanation, but in the code snippet you provided, y1 and y2 are the same. Did you mean to put y2 <- 10 + rand.slop + time + e or y2 <- 10 + rand.int * rand.slop + tim + e? Dennis On Tue, Nov 24, 2009

Re: [R] random effects correlation in lmer

It implies that the random intercept is perfectly collinear with the random slope, as you suggested. I attach an example. The data generating process of y1 has a random intercept, but no random slope. When you fit a model with random intercept and random slope, the correlation between the two is

[R] random effects correlation in lmer

I am having an issue with lmer that I wonder if someone could explain. I am trying to fit a mixed effects model to a set of longitudinal data over a set of individual subjects: (fm1 <- lmer(x ~ time + (time|ID),aa)) I quite often find that the correlation between the random effects is 1.0: Linea