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SimultAnR (version 1.1)

shoplifting: Shoplifting dataset

Description

This dataset contains data from the CBS Statistics on shoplifting (Israels, 1987).

The data concerns persons suspected of shoplifting in 1977 and 1978 in Dutch stores and big textile shops, classified according to the sex and age of the person and the kind of stolen goods.

The categories of stolen goods are the following: clothing, clothing accesory, provisions and/or tobacco, writing materials, books, records, household goods, sweets, toys, jewelry, perfume, hobby and/or tools and other.

The age categories envisaged in the study are the following: less than 12, 12 to 14, 15 to 17, 18 to 20, 21 to 29, 30 to 39, 40 to 49, 50 to 64, 65 or over.

Usage

data(shoplifting)

Arguments

Format

A data frame (13x18). Rows represent the kinds of stolen goods. The first 9 columns correspond to the ages of male suspected of shoplifting. Columns 10 to 18 correspond to the ages of female suspected of shoplifting.

References

Israels, A. (1987). Eigenvalue Techniques for Qualitative Data. DSWO Press, Leiden.

Zarraga, A. & Goitisolo, B. (2002). Methode factorielle pour l analyse simultanee de tableaux de contingence. Revue de Statistique Appliquee, L, 47--70

Zarraga, A. & Goitisolo, B. (2003). Etude de la structure inter-tableaux a travers l Analyse Simultanee, Revue de Statistique Appliquee, LI, 39--60.

Examples

Run this code
data(shoplifting)
shoplifting

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