caLogit: Function caLogit estimates participation (market share) of...

Description Usage Arguments Author(s) References See Also Examples

View source: R/caLogit.R

Description

Function caLogit estimates participation of simulation profiles using logit model. Function returns vector of percentage participations. The sum of participation should be 100%.

Usage

1
caLogit(sym, y, x)

Arguments

sym

matrix of simulation profiles

y

matrix of preferences

x

matrix of profiles

Author(s)

Andrzej Bak andrzej.bak@ue.wroc.pl,

Tomasz Bartlomowicz tomasz.bartlomowicz@ue.wroc.pl

Department of Econometrics and Computer Science, Wroclaw University of Economics, Poland http://keii.ue.wroc.pl/conjoint

References

Bak A., Bartlomowicz T. (2012), Conjoint analysis method and its implementation in conjoint R package, [In:] Pociecha J., Decker R. (Eds.), Data analysis methods and its applications, C.H.Beck, Warszawa, p.239-248.

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, p. 283-317.

Green P.E., Srinivasan V. (1978), Conjoint Analysis in Consumer Research: Issues and Outlook, "Journal of Consumer Research", September, 5, p. 103-123.

SPSS 6.1 Categories (1994), SPSS Inc., Chicago.

See Also

caBTL, caMaxUtility and ShowAllSimulations

Examples

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#Example 1
library(conjoint)
data(tea)
simutil<-caLogit(tsimp,tpref,tprof)
print("Percentage participation of profiles: ", quote=FALSE)
print(simutil)

#Example 2
library(conjoint)
data(chocolate)
simutil<-caLogit(csimp,cpref,cprof)
print("Percentage participation of profiles:", quote=FALSE)
print(simutil)

#Example 3
library(conjoint)
data(chocolate)
ShowAllSimulations(csimp,cpref,cprof)

#Example 4
#library(conjoint)
#data(journey)
#ShowAllSimulations(jsimp,jpref,jprof)

Example output

[1] Percentage participation of profiles: 
[1] 13.04338 34.83784 35.79071 16.32807
[1] Percentage participation of profiles:
[1] 50.41550 24.31085 12.80372 12.46993
  TotalUtility MaxUtility BTLmodel LogitModel
1        10,41      52,87    31,77      50,42
2         8,50      22,99    26,17      24,31
3         7,39      11,49    23,11      12,80
4         6,35      12,64    18,95      12,47

conjoint documentation built on May 1, 2019, 8:05 p.m.

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