plot_OCcutlines2: Optimal Classification Cutline Plot
In davidaarmstrong/asmcjr: Analyzing Spatial Models of Choice and Judgment with R

plot_OCcutlines2

R Documentation

Optimal Classification Cutline Plot

Description

This is a slight modification to the cut-lines plotting method from the oc package. It 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

         
plot_OCcutlines2(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`	If a single number, it gives the number of non-constrained cutlines to be plotted. If this number exceeds to total number of cutlines, then all cutlines are plotted. If it is a vector, it plots only the cutlines for the indicated votes.
`dims`	numeric vector of length 2, specifying dimensions to be plotted.
`lwd`	numeric, line width.
`...`	other arguments to `symbols`.