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 2 4 308 #> 2 20 3 308 #> 3 11 1 308 #> 4 27 4 308 #> 5 17 1 308 #> 6 3 3 308