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Package ‘conjoint’ February 19, 2015 Title Conjoint analysis package Description Conjoint is a simple package that implements a conjoint analysis method to measure the preferences. Version 1.39 Date 2012-08-08 Imports AlgDesign, clusterSim Author Andrzej Bak <[email protected]>, Tomasz Bartlomowicz <[email protected]> Maintainer Tomasz Bartlomowicz <[email protected]> License GPL (>= 2) URL www.r-project.org, http://keii.ue.wroc.pl/conjoint Repository CRAN Date/Publication 2013-08-15 07:02:02 NeedsCompilation no R topics documented: caBTL ............................................ 2 caEncodedDesign ...................................... 3 caFactorialDesign ...................................... 4 caImportance ........................................ 6 caLogit ........................................... 7 caMaxUtility ........................................ 9 caModel ........................................... 10 caPartUtilities ........................................ 11 caSegmentation ....................................... 12 caTotalUtilities ....................................... 13 caUtilities .......................................... 14 Conjoint ........................................... 15 czekolada .......................................... 16 herbata ............................................ 17 plyty ............................................. 18 1

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  • Package conjointFebruary 19, 2015

    Title Conjoint analysis packageDescription Conjoint is a simple package that implements a conjoint

    analysis method to measure the preferences.

    Version 1.39Date 2012-08-08Imports AlgDesign, clusterSimAuthor Andrzej Bak , Tomasz Bartlomowicz

    Maintainer Tomasz Bartlomowicz License GPL (>= 2)URL www.r-project.org, http://keii.ue.wroc.pl/conjointRepository CRANDate/Publication 2013-08-15 07:02:02NeedsCompilation no

    R topics documented:caBTL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2caEncodedDesign . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3caFactorialDesign . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4caImportance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6caLogit . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7caMaxUtility . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9caModel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10caPartUtilities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11caSegmentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12caTotalUtilities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13caUtilities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14Conjoint . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15czekolada . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16herbata . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17plyty . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18

    1

    http://keii.ue.wroc.pl/conjoint

  • 2 caBTL

    ShowAllSimulations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19ShowAllUtilities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20tea . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21

    Index 22

    caBTL Function caBTL estimates participation (market share) of simulationprofiles

    Description

    Function caBTL estimates participation of simulation profiles using probabilistic model BTL (Bradley-Terry-Luce). Function returns vector of percentage participations. The sum of participation shouldbe 100%.

    Usage

    caBTL(sym, y, x)

    Arguments

    sym matrix of simulation profiles

    y matrix of preferences

    x matrix of profiles

    Author(s)

    Andrzej Bak ,

    Tomasz Bartlomowicz

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

    References

    Bak A. (2009), Analiza Conjoint [Conjoint Analysis], [In:] Walesiak M., Gatnar E. (Eds.), Statysty-czna analiza danych z wykorzystaniem programu R [Statistical Data Analysis using R], WydawnictwoNaukowe 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.

    See Also

    caLogit and caMaxUtility

    http://keii.ue.wroc.pl/conjoint

  • caEncodedDesign 3

    Examples

    #Example 1library(conjoint)data(herbata)simutil

  • 4 caFactorialDesign

    See Also

    caFactorialDesign

    Examples

    #Example 1library(conjoint)experiment

  • caFactorialDesign 5

    References

    Bak A. (2009), Analiza Conjoint [Conjoint Analysis], [In:] Walesiak M., Gatnar E. (Eds.), Statysty-czna analiza danych z wykorzystaniem programu R [Statistical Data Analysis using R], WydawnictwoNaukowe 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.

    See Also

    caEncodedDesign

    Examples

    #Example 1library(conjoint)experiment

  • 6 caImportance

    variety

  • caLogit 7

    Arguments

    y matrix of preferences

    x matrix of profiles

    Author(s)

    Andrzej Bak ,

    Tomasz Bartlomowicz

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

    References

    Bak A. (2009), Analiza Conjoint [Conjoint Analysis], [In:] Walesiak M., Gatnar E. (Eds.), Statysty-czna analiza danych z wykorzystaniem programu R [Statistical Data Analysis using R], WydawnictwoNaukowe 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 1library(conjoint)data(herbata)imp

  • 8 caLogit

    Usage

    caLogit(sym, y, x)

    Arguments

    sym matrix of simulation profiles

    y matrix of preferences

    x matrix of profiles

    Author(s)

    Andrzej Bak ,

    Tomasz Bartlomowicz

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

    References

    Bak A. (2009), Analiza Conjoint [Conjoint Analysis], [In:] Walesiak M., Gatnar E. (Eds.), Statysty-czna analiza danych z wykorzystaniem programu R [Statistical Data Analysis using R], WydawnictwoNaukowe 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.

    See Also

    caBTL and caMaxUtility

    Examples

    #Example 1library(conjoint)data(herbata)simutil

  • caMaxUtility 9

    caMaxUtility Function caMaxUtility estimates participation (market share) of sim-ulation profiles

    Description

    Function caMaxUtility estimates participation of simulation profiles using model of maximum util-ity ("first position"). Function returns vector of percentage participations. The sum of participationshould be 100%.

    Usage

    caMaxUtility(sym, y, x)

    Arguments

    sym matrix of simulation profiles

    y matrix of preferences

    x matrix of profiles

    Author(s)

    Andrzej Bak ,

    Tomasz Bartlomowicz

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

    References

    Bak A. (2009), Analiza Conjoint [Conjoint Analysis], [In:] Walesiak M., Gatnar E. (Eds.), Statysty-czna analiza danych z wykorzystaniem programu R [Statistical Data Analysis using R], WydawnictwoNaukowe 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.

    See Also

    caBTL and caLogit

    http://keii.ue.wroc.pl/conjoint

  • 10 caModel

    Examples

    #Example 1library(conjoint)data(herbata)simutil

  • caPartUtilities 11

    Examples

    #Example 1library(conjoint)data(herbata)x

  • 12 caSegmentation

    References

    Bak A. (2009), Analiza Conjoint [Conjoint Analysis], [In:] Walesiak M., Gatnar E. (Eds.), Statysty-czna analiza danych z wykorzystaniem programu R [Statistical Data Analysis using R], WydawnictwoNaukowe 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 1library(conjoint)data(herbata)uslall

  • caTotalUtilities 13

    References

    Bak A. (2009), Analiza Conjoint [Conjoint Analysis], [In:] Walesiak M., Gatnar E. (Eds.), Statysty-czna analiza danych z wykorzystaniem programu R [Statistical Data Analysis using R], WydawnictwoNaukowe 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 1library(conjoint)data(herbata)segments

  • 14 caUtilities

    References

    Bak A. (2009), Analiza Conjoint [Conjoint Analysis], [In:] Walesiak M., Gatnar E. (Eds.), Statysty-czna analiza danych z wykorzystaniem programu R [Statistical Data Analysis using R], WydawnictwoNaukowe 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.

    See Also

    caUtilities

    Examples

    #Example 1library(conjoint)data(herbata)Usi

  • Conjoint 15

    Author(s)

    Andrzej Bak ,

    Tomasz Bartlomowicz

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

    References

    Bak A. (2009), Analiza Conjoint [Conjoint Analysis], [In:] Walesiak M., Gatnar E. (Eds.), Statysty-czna analiza danych z wykorzystaniem programu R [Statistical Data Analysis using R], WydawnictwoNaukowe 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.

    See Also

    caTotalUtilities

    Examples

    #Example 1library(conjoint)data(herbata)ul