d_carconf: Car Configurator Data (partial orderings)

In PLMIX: Bayesian Analysis of Finite Mixtures of Plackett-Luce Models for Partial Rankings/Orderings

Description

The Car Configurator dataset (d_carconf) came up from a marketing study aimed at investigating customer preferences toward different car features. A sample of N=435 customers were asked to construct their car by using an online configurator system and choose among K=6 car modules in order of preference. The car features are labeled as: 1 = price, 2 = exterior design, 3 = brand, 4 = technical equipment, 5 = producing country and 6 = interior design. The survey did not require a complete ranking elicitation, therefore the dataset is composed of partial top orderings of varying lengths. Missing positions are denoted with zero entries.

Usage

data(d_carconf)

Format

Object of S3 class c("top_ordering","matrix") gathering a matrix of partial orderings with N=435 rows and K=6 columns. Each row lists the car features from the most important (Rank_1) to the least important (Rank_6) for a given customer.

References

Mollica, C. and Tardella, L. (2017). Bayesian Plackett-Luce mixture models for partially ranked data. Psychometrika, 82(2), pages 442–458, ISSN: 0033-3123, DOI: 10.1007/s11336-016-9530-0.

Hatzinger, R. and Dittrich, R. (2012). Prefmod: An R package for modeling preferences based on paired comparisons, rankings, or ratings. Journal of Statistical Software, 48(10), pages 1–31.

Dabic, M. and Hatzinger, R. (2009). Zielgruppenadaequate Ablaeufe in Konfigurationssystemen - eine empirische Studie im Automobilmarkt - Partial Rankings. In Hatzinger, R., Dittrich, R. and Salzberger, T. (eds), Praeferenzanalyse mit R: Anwendungen aus Marketing, Behavioural Finance und Human Resource Management. Wien: Facultas.

Examples

data(d_carconf)
head(d_carconf)

## Subset of complete sequences
d_carconf_compl=d_carconf[rowSums(d_carconf!=0)>=(ncol(d_carconf)-1),]
head(d_carconf_compl)

Example output

     rank1 rank2 rank3 rank4 rank5 rank6
[1,]     6     2     1     5     3     4
[2,]     2     4     6     1     3     5
[3,]     6     3     2     5     4     1
[4,]     1     3     4     2     6     5
[5,]     6     2     5     3     0     0
[6,]     6     2     4     3     0     0
     rank1 rank2 rank3 rank4 rank5 rank6
[1,]     6     2     1     5     3     4
[2,]     2     4     6     1     3     5
[3,]     6     3     2     5     4     1
[4,]     1     3     4     2     6     5
[5,]     6     2     5     3     4     1
[6,]     1     6     2     4     3     5

PLMIX documentation built on Sept. 4, 2019, 5:03 p.m.