plot.OCcutlines: Optimal Classification Cutline Plot
In oc: Optimal Classification Roll Call Analysis Software

View source: R/methods.R

plot.OCcutlines

R Documentation

Optimal Classification Cutline Plot

Description

plot.cutlines reads an Optimal Classification object and plots the cutting line of a specified proportion of all votes along two user-specified dimensions. The default is to plot 50 cutting lines. This is also known as a Coombs mesh. A unit circle is included to emphasize the constraints on the Optimal Classification coordinates. Only cutlines that are constrained to have midpoints lying in a unit circle are included. plot.cutlines does not work for 1D OCobject objects.

Usage

         
## S3 method for class 'OCcutlines'
plot(x, main.title="Cutting Lines",
        d1.title="First Dimension", d2.title="Second Dimension",
        lines=50,dims=c(1,2),lwd=2,...)

Arguments

`x`	an `OCobject` output object.
`main.title`	string, coordinate plot title.
`d1.title`	string, x-axis label.
`d2.title`	string, y-axis label.
`lines`	numeric, number of non-constrained cutlines to be plotted. If this number exceeds to total number of cutlines, then all cutlines are plotted.
`dims`	numeric vector of length 2, specifying dimensions to be plotted.
`lwd`	numeric, line width.
`...`	other arguments to `symbols`.

Value

A Coombs mesh.

Author(s)

Keith Poole ktpoole@uga.edu

Jeffrey Lewis jblewis@ucla.edu

James Lo lojames@usc.edu

Royce Carroll rcarroll@rice.edu

Examples

    #This data file is the same as that obtained using:
    ## Not run: 
    data(sen90)
    sen90oc <- oc(sen90,dims=2,polarity=c(7,2)) 
	
## End(Not run)

    data(sen90oc)
    summary(sen90oc)
    plot.OCcutlines(sen90oc)

oc documentation built on Feb. 16, 2023, 8:17 p.m.