plot.pooled.clmm: Function to visualize the effect of the clusters on the...

In DaanNieboer/ordinalimputation: Pool results from the clmm function with multiple imputation

Description

Function to visualize the effect of the clusters on the outcome

Usage

## S3 method for class 'pooled.clmm'
plot(
  x,
  xlim = NULL,
  ylim = NULL,
  xlab = "Cluster effect",
  ylab = "Cluster",
  refline = 0,
  ...
)

Arguments

x	a clmm.pool object returned from the pool.clmm function.
xlim	Limits of the x-axis. If this is not supplied a sensible default is chosen.
ylim	Limits of the y-axis. If this is not supplied a sensible default is chosen.
xlab	Label at the x-axis.
ylab	Label at the y-axis
refline	location of reference line in caterpillar plot. Default is 0.
...	Other arguments passed to the default plot function.

Value

A plot showing the conditional modes of the clusters with the 95 prediction intervals.

DaanNieboer/ordinalimputation documentation built on March 1, 2021, 8:38 a.m.