Displaying 2 results from an estimated 2 matches for "residuelle".
2005 Oct 28
2
Random effect models
...> 1 - pf(Femp, tab1[1:3,1], tab1[c(3,3,4),1])
Pollinisateur Lignee Interaction
4.230265e-07 2.773448e-11 1.841028e-02
# Standard deviation :
> variances <- c(c(tab1[1:3, 3] - tab1[c(3,3,4), 3]) / c(2*5, 2*10, 2), tab1[4,3])
> names(variances) <- c(names(Femp), "Residuelle")
> variances
Pollinisateur Lignee Interaction Residuelle
0.11866389 0.21818333 0.03389167 0.07590000
# Using lmer :
> library(lme4)
> lme1 <- lmer(Rendement ~ (1|Pollinisateur) + (1|Lignee) + (1|Pollinisateur:Lignee), data = mca2))
> summary(lme1)...
2005 Oct 27
2
F tests for random effect models
Dear R-users,
My question is how to get right F tests for random effects in random effect models (I hope this
question has not been answered too many times yet - I didn't find an answer in rhelp archives).
My data are in mca2 (enc.) :
names(mca2)
[1] "Lignee" "Pollinisateur" "Rendement"
dim(mca2)
[1] 100 3
replications(Rendement ~ Lignee *