ms.us.pw: This function computes the market share of product profiles

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

Description

This function computes the market share of product profiles according to the utility share rule. Uses a data frame with part woths to predict utilities market profiles, mp, is a matrix of market product profiles (rows) by attributes (columns); pw is a data frame of clients (rows) by attribut levels part worths (colums); design.l is a list with the definition of the conjoint design.

Usage

ms.us.pw(mp, pw, design.l)

Arguments

mp	a matrix with the description of competitors' product profiles
pw	a data frame with all clients' part worths
design.l	a a list with conjoint design

Value

ms

Examples

data(MDSConjointData)
names(MDSConjointData)
osc<-MDSConjointData$osc
osc.conjoint <- conjoint.estimation(osc$ratings, osc$bundles, osc$design)
names(osc.conjoint)
# [1] "summary"     "fit"         "part.worths"  "prediction"
#head(osc.conjoint$summary)
head(osc.conjoint$fit)
head(osc.conjoint$part.worths)
head(osc.conjoint$prediction)
ms.us.pw(osc$market.profiles, osc.conjoint$part.worths, osc$design)
class(ms.us.pw(osc$market.profiles, osc$ratings, osc$bundles))

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