mcacontourjit {visualpred} | R Documentation |
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)
[Package visualpred version 0.1.1 Index]