oc (version 0.08)

plot.OCcutlines: 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

plot.OCcutlines(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.

See Also

'oc', 'plot.OCcoords', 'plot.OCskree', 'plot.OCangles', 'plot.OCobject'

Examples

#This data file is the same as that obtained using:
    #data(sen90)
    #sen90oc<-oc(sen90,dims=2,polarity=c(7,2)) 

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