plot.clusbootemm: Plot estimated marginal means for a cluster bootstrap GLM

In ClusterBootstrap: Analyze Clustered Data with Generalized Linear Models using the Cluster Bootstrap

Description

Plots the estimated marginal means of an clusbootglm object. Works with one within-subjects and/or one between-subjects variable.

Usage

## S3 method for class 'clusbootemm'
plot(
  x,
  within,
  between,
  pch,
  lty,
  ylab = "Estimated marginal mean",
  xlab = "Within subject",
  ...
)

Arguments

x	object of class clusbootemm.
within	within-subjects variable. Should be numeric or numerically labeled factor.
between	between-subjects variable.
pch	point character. Length must be equal to the number of between-subjects levels.
lty	linetype. Length must be equal to the number of between-subjects levels.
ylab	label for y-axis.
xlab	label for x-axis.
...	other arguments to be passed to the plot function (see par).

Author(s)

Mathijs Deen

Examples

## Not run: 
medication <- medication[medication$time %% 1 == 0,]
medication$time_f <- as.factor(medication$time)
set.seed(1)
model.1 <- clusbootglm(pos~time_f*treat, clusterid=id, data=medication)
emm.1 <- emm(object = model.1)
plot(x = emm.1, within = time_f, between = treat, pch = c(15,17), lty = c(1,2))
## End(Not run)

ClusterBootstrap documentation built on Feb. 16, 2021, 5:06 p.m.