caterpillarPlot {mlmtools} | R Documentation |
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)
[Package mlmtools version 1.0.2 Index]