caterpillarPlot: Caterpillar Plot

In mlmtools: Multi-Level Model Assessment Kit

Caterpillar Plot

Description

Plots empirical Bayes both point prediction and prediction intervals for each random effect parameter across all groups.

Usage

caterpillarPlot(
  model,
  grouping,
  title = print(grouping),
  tall = TRUE,
  grey = FALSE
)

Arguments

model	A given lmer model.
grouping	The name of the grouping variable of interest, as a character string.
title	The title of the plot.
tall	Logical argument specifying whether the plot should be plotted vertically or horizontally.
grey	Logical argument specifying whether the intervals should be plotted in color or greyscale.

Value

Produces a caterpillar plot.

References

Rabe-Hesketh S, Skrondal A (2012). Multilevel and Longitudinal Modeling Using Stata, Volumes I and II, Third Edition. 3 edition edition. Stata Press. ISBN 978-1-59718-108-2.

Examples

# Read in data
data(instruction)
# Create model
mod <- lme4::lmer(mathgain ~ (1 | classid), data = instruction)
# Produce caterpillar plot
caterpillarPlot(mod, title = "title", grouping = "classid", grey = TRUE)

mlmtools documentation built on Oct. 26, 2022, 9:05 a.m.