dcars: Dutch Cars Data

In lsbclust: Least-Squares Bilinear Clustering for Three-Way Data

Description

This data set relates to 187 Dutch households rating 10 automobile manufacturers according to 8 variables (original Dutch terms in parentheses): price (prijsniveau), design (vormgeving), safety (veiligheid), operating cost (gebruikskosten), ) sportiness (sportiviteit), size (modelgrootte), reliability (betrouwbaarheid) and feautures (uitrusting). A rating scale from 1 to 10 was used.

Usage

dcars

Format

A three-way array with cars in the first dimension, variables in the second and consumers in the third dimension.

The items and labels for the endpoints of the scales are (original Dutch labels in parentheses):

Affordability

A rating from 1 = Expensive (duur) to 10 = Cheap (goedkoop)

Attractiveness

A rating from 1 = Ugly (lelijk) to 10 = Beautiful (mooi)

Safety

A rating from 1 = Bad (slecht) to 10 = Good (goed)

OperatingCost

A rating from 1 = Low (laag) to 10 = High (hoog)

Sportiness

A rating from 1 = Slow (langzaam) to 10 = Fast (snel)

Size

A rating from 1 = Large (groot) to 10 = Small (klein)

Reliability

A rating from 1 = Bad (slecht) to 10 = Good (goed)

Features

A rating from 1 = Simple (eenvoudig) to 10 = Luxurious (luxe)

Details

The original sample consisted of 188 households. However, one of these households (code 87845) was discarded because it appears that they used a rating scale from 0 to 10 instead of from 1 to 10. Note that all rating scales has been reversed so that higher scores are better for most items. The exceptions are OperatingCost and Size, where larger values mean higher costs and smaller cars respectively.

Source

Tammo Bijmolt, Michel van de Velden

Examples

data("dcars")
set.seed(5448)
m <- lsbclust(data = dcars, delta = c(1, 1, 1, 1), nclust = c(5, 3, 6, 8), nstart = 5, 
              nstart.kmeans = 10, parallel = FALSE, fixed = "columns")

lsbclust documentation built on May 1, 2019, 10:27 p.m.