When I'm run this mixed model I get all of the statistics I need.
library(sommer)
data(example)
#Model without intercept - OK
ans1 <- mmer2(Yield~Env,
random= ~ Name + Env:Name,
rcov= ~ units,
data=example, silent = TRUE)
summary(ans1)
ans1$u.hat #Random effects
However if I try to get the intercept to random effects like in the R library(lme4), I get a error like:
Error in dimnames(x) <- dn :
length of 'dimnames' [2] not equal to array extent
#Model with intercept
ans2 <- mmer2(Yield~Env,
random= ~ 1+Name + Env:Name,
rcov= ~ units,
data=example, silent = TRUE)
summary(ans2)
ans2$u.hat #Random effects
What Can I do to overcome that?
Aucun commentaire:
Enregistrer un commentaire