plot.OCcoords: Optimal Classification Coordinate Plot
In oc: Optimal Classification Roll Call Analysis Software

plot.OCcoords

R Documentation

Optimal Classification Coordinate Plot

Description

plot.coords reads an Optimal Classification object in 2 user-specified dimensions and plots the coordinates of each member, applying separate colors and shapes to each party by default. A unit circle is included to emphasize the constraints on the Optimal Classification coordinates, and options to select non-party attributes of legislators are included. For a 1D OCobject object, Optimal Classification ranks are plotted against themselves, so they appear on a straight line.

Usage

## S3 method for class 'OCcoords'
plot(x, main.title="OC Coordinates",
    d1.title="First Dimension", d2.title="Second Dimension", dims=c(1,2),
    plotBy="party", color=TRUE, shape=TRUE, cutline=NULL, Legend=TRUE,
    legend.x=0.8, legend.y=1,...)

Arguments

`x`	an `OCobject` output object.
`main.title`	string, coordinate plot title.
`d1.title`	string, x-axis label.
`d2.title`	string, y-axis label.
`dims`	vector of length 2, specifying the dimensions to be plotted.
`plotBy`	string, name of a variable in `OCobject\$legislators`. `plot.coords` will plot coordinates using this variable as a selector.
`color`	logical, marks different groups specified by `plotBy` using different colors if TRUE.
`shape`	logical, marks different groups specified by `plotBy` using different shapes if TRUE.
`cutline`	vector, selects roll calls by row number for which a cutting line is desired.
`Legend`	logical, include a generic legend.
`legend.x`	numeric, corresponds to the 'x' argument of legend().
`legend.y`	numeric, corresponds to the 'y' argument of legend().
`...`	other arguments to `symbols`.

Value

A coordinate plot.

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.OCcoords(sen90oc)

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