show_ranef() allows a user estimating a mixed model to quickly
plot the random intercepts (with conditional variances) of a given random effect
in a mixed model. In cases where there is a random slope over the intercept, the function
plots the random slope as another caterpillar plot (as another facet)
show_ranef(model, group, reorder = TRUE)
a fitted mixed model with random intercepts
What random intercept/slopes do you want to see as a caterpillar plot? Declare it as a character
optional argument. DEFAULT is TRUE, which “re-orders” the intercepts by the original value in the data. If FALSE, the ensuing caterpillar plot defaults to a default method of ordering the levels of the random effect by their estimated conditional mode.
This function is a simple wrapper in which
broom.mixed and, obviously
ggplot2 are doing the heavy lifting.
show_ranef() returns a caterpillar plot of the random intercepts from a given
mixed model. If
broom.mixed::augment() can process it, this function should work just fine.
Steven V. Miller
library(lme4) library(stevemisc) data(sleepstudy) M1 <- lmer(Reaction ~ Days + (Days | Subject), data=sleepstudy) show_ranef(M1, "Subject") show_ranef(M1, "Subject", reorder=FALSE)
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