Returns the data from all random effects terms.
Value
The data from all random effects terms, as data frame. Or NULL
if model has no random effects.
Examples
data(sleepstudy)
# prepare some data...
sleepstudy$mygrp <- sample(1:5, size = 180, replace = TRUE)
sleepstudy$mysubgrp <- NA
for (i in 1:5) {
filter_group <- sleepstudy$mygrp == i
sleepstudy$mysubgrp[filter_group] <-
sample(1:30, size = sum(filter_group), replace = TRUE)
}
m <- lmer(
Reaction ~ Days + (1 | mygrp / mysubgrp) + (1 | Subject),
data = sleepstudy
)
#> boundary (singular) fit: see help('isSingular')
head(get_random(m))
#> mysubgrp mygrp Subject
#> 1 25 4 308
#> 2 6 3 308
#> 3 26 3 308
#> 4 24 5 308
#> 5 19 3 308
#> 6 3 1 308