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.
#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)