Description Usage Arguments Author(s) References See Also Examples
Function caLogit estimates participation of simulation profiles using logit model. Function returns vector of percentage participations. The sum of participation should be 100%.
1 | caLogit(sym, y, x)
|
sym |
matrix of simulation profiles |
y |
matrix of preferences |
x |
matrix of profiles |
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
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.
caBTL
, caMaxUtility
and ShowAllSimulations
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | #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)
|
[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
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