hi folks,
I believe that the construction
y ~ A + (A|B)
(where A is a categorical variable for a fixed effect and
B is a categorical variable for a random effect) will generate random
effects for all of the fixed effect coefficients. That is, in addition
fitted a systematic fixed effect coef
Dear Agnes,
I think your model specification should look like this:
YourModel1 <- lmerlmer(y ~ poptype*matingtype + (1|poptype:pop) +
(1|poptype:fam),
data = ...)
The "1" in front of "|" refers to models that are random intercepts models as
opposed to
general random coefficients models in whi
Hi all,
I try to build a model using lmer, with 2 crossed fixed factors (poptype
and matingtype) and 2 random factors (pop and family) which I want to
nest within poptype. Which of these formulae should I use ?
1. lmer(y~poptype*matingtype + (1|poptype/pop/fam))
2. lmer(y~poptype*matingtype +
3 matches
Mail list logo
