mcacontourjit: Contour plots and MCA function for classification modeling

In visualpred: Visualization 2D of Binary Classification Models

Contour plots and MCA function for classification modeling

Description

This function is similar to mcacontour but points are jittered in every plot

Usage

mcacontourjit(dataf=dataf,jit=0.1,alpha1=0.8,alpha2=0.8,alpha3=0.7,title="",...)

Arguments

dataf	data frame.
jit	jit distance. Default 0.1.
alpha1	alpha transparency for majoritary class
alpha2	alpha transparency for minoritary class
alpha3	alpha transparency for fit probability plots
title	plot main title
...	options to be passed from mcacontour

Value

A list with the following objects:

graph1

plot of points on MCA two dimensions

graph2

plot of points and variables

graph3

plot of points and contour curves

graph4

plot of points, contour curves and variables

graph5

plot of points colored by fitted probability

graph6

plot of points colored by abs difference

Examples

data(breastwisconsin1)
dataf<-breastwisconsin1
listconti=c( "clump_thickness","uniformity_of_cell_shape","mitosis")
listclass=c("")
vardep="classes"
result<-mcacontourjit(dataf=dataf,listconti=listconti,listclass=listclass,vardep=vardep,jit=0.1)

visualpred documentation built on April 3, 2025, 11:08 p.m.