conjoint (version 1.35)

caImportance: Function caImportance calculates importance of attributes

Description

Function caImportance calculates importance of all attributes. Function returns vector of percentage attributes' importance and corresponding chart (barplot). The sum of importance should be 100%.

Usage

caImportance(y, x)

Arguments

y

matrix of preferences

x

matrix of profiles

References

Bak A. (2009), Analiza Conjoint [Conjoint Analysis], [In:] Walesiak M., Gatnar E. (Eds.), Statystyczna analiza danych z wykorzystaniem programu R [Statistical Data Analysis using R], Wydawnictwo Naukowe PWN, Warszawa. Green P.E., Srinivasan V. (1978), Conjoint Analysis in Consumer Research: Issues and Outlook, "Journal of Consumer Research", September, 5, 103-123. SPSS 6.1 Categories (1994), SPSS Inc., Chicago.

Examples

#Example 1
library(conjoint)
data(herbata)
imp=caImportance(hpref,hprof)
print("Importance summary: ", quote=FALSE)
print(imp)
print(paste("Sum: ", sum(imp)), quote=FALSE)

#Example 1
library(conjoint)
data(czekolada)
imp=caImportance(cpref,cprof)
print("Importance summary: ", quote=FALSE)
print(imp)
print(paste("Sum: ", sum(imp)), quote=FALSE)