plot.swissMrP: Plots 'swissMrP' Objects

In lleemann/swissMrP: Multilevel Regression with Post-Stratification (MrP) for Switzerland

Plots swissMrP Objects

Description

This function plots the results of swissMrP.

Usage

## S3 method for class 'swissMrP'
plot(x, conf.int = 0.95, col, design.dot = TRUE, lab, ...)

Arguments

x	Object returned from swissMrP().
conf.int	Confidence interval that should be displayed. Only meaningful if x is a matrix with dimensions 26*Number.sim.
col	Color for plot.
design.dot	Logical. If design.dot=TRUE the plot will display dots. If design.dot=FALSE the plot will display the cantonal abbreviations (ZH, BE, LU, ...).
lab	Label for x-axis. If there is no user specified label the default is Degree of Estimated Support.
...	Further graphical arguments can be used, e.g. main to specify a title.

Details

The design, when design.dot=FALSE, was added for Fabio Wasserfallen.

Author(s)

Lucas Leemann, [e-mail]

See Also

swissMrP, map.MrP

Examples

# fake data example
vec <- pnorm(rnorm(26))
class(vec) <- "swissMrP"
plot(vec, design.dot=FALSE, main="Simulated Data", 
             lab="Heterogeneous Preferences", col="green")

plot(vec, design.dot=TRUE, main="Simulated Data", 
             lab="Heterogeneous Preferences", col="blue")

lleemann/swissMrP documentation built on April 25, 2023, 6:12 a.m.