plotREsim {merTools} | R Documentation |
Plot the results of a simulation of the random effects
Description
Plot the simulated random effects on a ggplot2 chart. Points that
are distinguishable from zero (i.e. the confidence band based on level
does not cross the red line) are highlighted. Currently, the plots are ordered
according to the grouping factor.
Usage
plotREsim(
data,
level = 0.95,
stat = "median",
sd = TRUE,
sigmaScale = NULL,
oddsRatio = FALSE,
labs = FALSE,
facet = TRUE
)
Arguments
data |
a data.frame generated by |
level |
the width of the confidence interval |
stat |
a character value indicating the variable name in data of the midpoint of the estimated interval, e.g. "mean" or "median" |
sd |
a logical indicating whether or not to plot error bars around
the estimates (default is TRUE). Calculates the width of the error bars
based on |
sigmaScale |
a numeric value to divide the estimate and the standard deviation by in the case of doing an effect size calculation |
oddsRatio |
logical, should the parameters be converted to odds ratios before plotting |
labs |
logical, include the labels of the groups on the x-axis |
facet |
Accepts either logical ( |
Value
a ggplot2 plot of the coefficient effects
Examples
fm1 <- lmer(Reaction ~ Days + (Days | Subject), sleepstudy)
(p1 <- plotREsim(REsim(fm1)))
#Plot just the random effects for the Days slope
(p2 <- plotREsim(REsim(fm1), facet= list(groupFctr= "Subject", term= "Days")))