visualize.importance: Plots the mean importance of attributes

In jlopezsi/MDSConjoint: An implementation of metric and nonmetric conjoint models for marketing decisions

Description

This functions print attributes' importance using R standard plotting system

Usage

visualize.importance(part.worths, importance, design.l)

Arguments

part.worths	a data frame with as many rows as clients and as many columns as atributes' levels
importance	a data frame with as many rows as clinetes and as mnay columns as attributes' importance
design.l	a list with attributs and their levels

Examples

#data(MDSConjointData)
#names(MDSConjointData)
#osc<-MDSConjointData
#osc.imp<-importance.of.attributes(osc$ratings, osc$bundles, osc$design)
#names(osc.imp)
#visualize.importance(osc.imp$part.worths, osc.imp$imp, osc$design)
#tire <- MDSConjointData$tire
#tire.imp<-importance.of.attributes(tire$ratings, tire$bundles, tire$design)
#names(tire.imp)
#visualize.importance(tires.imp$part.worths,tires.imp$imp, tire$design)

jlopezsi/MDSConjoint documentation built on May 19, 2019, 12:48 p.m.