caRecreatedDesign: Function caRecreatedDesign reconstructs factorial design

In conjoint: An Implementation of Conjoint Analysis Method

Description

Function caRecreatedDesign reconstructs the factorial design on the basis of arguments in the form of: a vector of variables (attributes) names, a vector of the number of variables' levels, a vector of variable level names and the list of numbers of the reconstructed profiles.

Usage

caRecreatedDesign(attr.names,lev.numbers,z,prof.numbers)

Arguments

attr.names	a vector of variables (attributes) names
lev.numbers	a vector of the number of variables' levels
z	a vector of variable level names
prof.numbers	list of numbers of the reconstructed profiles

Author(s)

Andrzej Bak [e-mail],

Tomasz Bartlomowicz [e-mail]

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

caFactorialDesign and caEncodedDesign

Examples

#Example 1
library(conjoint)
attrNames<-c("price","variety","kind","aroma")
levNumbers<-c(3,3,3,2)
z<-c("low","medium","high","black","green","red","bags","granulated","leafy","yes","no")
profNumbers<-c(3,4,14,20,27,29,33,35,39,43,46,50,51)
design<-caRecreatedDesign(attrNames,levNumbers,z,profNumbers)
print(design)
write.csv2(design$dnumbers,file="design_numbers.csv",row.names=FALSE)
write.csv2(design$dnames,file="design_names.csv",row.names=FALSE)

Example output

$dnumbers
   price variety kind aroma
3      3       1    1     1
4      1       2    1     1
14     2       2    2     1
20     2       1    3     1
27     3       3    3     1
29     2       1    1     2
33     3       2    1     2
35     2       3    1     2
39     3       1    2     2
43     1       3    2     2
46     1       1    3     2
50     2       2    3     2
51     3       2    3     2

$dnames
    price variety       kind aroma
3    high   black       bags   yes
4     low   green       bags   yes
14 medium   green granulated   yes
20 medium   black      leafy   yes
27   high     red      leafy   yes
29 medium   black       bags    no
33   high   green       bags    no
35 medium     red       bags    no
39   high   black granulated    no
43    low     red granulated    no
46    low   black      leafy    no
50 medium   green      leafy    no
51   high   green      leafy    no

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