lov: List-of-values Data Set

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

Description

This is the list-of-values data set used in Van Rosmalen, Van Herk & Groenen (2010). Column names and factor labels differ slightly from that paper. Missing values are encoded as NA as usual. The first nine columns are items answered on a nine-point rating scale, with rating 1 representing 'very important' and category 9 'not important at all'. The respondents were asked how important each of these items are as a guiding principle in their lives.

Usage

data("lov")

Format

A data frame with 4514 observations on the following 12 variables.

Belonging

a numeric vector; 'a sense of belonging'

Excitement

a numeric vector

Relationships

a numeric vector; 'warm relationships with others'

Self-fulfilment

a numeric vector

Respected

a numeric vector; 'being well-respected'

Enjoyment

a numeric vector; 'fun and enjoyment'

Security

a numeric vector

Self-respect

a numeric vector

Accomplishment

a numeric vector; 'a sense of accomplishment'

Country

a factor with levels Britain, France, Germany, Italy and Spain

Education

a factor with levels Low and High

Age

a factor with levels -25, 25-39, 40-54 and 55+

Source

Joost van Rosmalen

References

Van Rosmalen, J., Van Herk, H., & Groenen, P. J. (2010). Identifying response styles: A latent-class bilinear multinomial logit model. Journal of Marketing Research, 47(1), 157-172.

Examples

data("lov")

## Construct array
lovarr <- indarr(lov[, 1:9], maxcat = 9)

## Run analysis
set.seed(13841)
fit <- lsbclust(data = lovarr, margin = 3, delta = c(0, 1, 0, 0), nclust = c(NA, 11, NA, 5), 
                 fixed = "rows", nstart = 1, iter.max = 50, nstart.kmeans = 10)

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