Description Usage Arguments Value Examples
This function computes the market share of market product profiles according to the first choice 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
1 | ms.fe.pw(mp, pw, design.l)
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mp |
a data frame with the description of competitors' existing product profiles |
pw |
a data frame frame with all clients' part worths |
design.l |
a list with conjoint design |
ms
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | data(MDSConjointData)
names(MDSConjointData)
osc<-MDSConjointData$osc
names(osc)
sapply(osc, class)
sapply(osc$market.proiles, class)
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$prediction)
ms.fe.pw(osc$market.profiles, osc.conjoint$part.worths, osc$design)
class(ms.fe.pw(osc$market.profiles, osc$ratings, osc$bundles))
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