Burt {vcdExtra}

Burt (1950) Data on Hair, Eyes, Head and Stature

Description

Cyril Burt (1950) gave these data, on a sample of 100 people from Liverpool, to illustrate the application of a method of factor analysis (later called multiple correspondence analysis) applied to categorical data.

He presented these data initially in the form that has come to be called a "Burt table", giving the univariate and bivariate frequencies for an n-way frequency table.

Usage

data("Burt")

Format

A frequency data frame (representing a 3 x 3 x 2 x 2 frequency table) with 36 cells on the following 5 variables.

Hair

hair color, a factor with levels Fair Red Dark

Eyes

eye color, a factor with levels Light Mixed Dark

Head

head shape, a factor with levels Narrow Wide

Stature

height, a factor with levels Tall Short

Freq

a numeric vector

Details

Burt says: "In all, 217 individuals were examined, about two-thirds of them males. But, partly to simplify the calculations and partly because the later observations were rather more trustworthy, I shall here restrict my analysis to the data obtained from the last hundred males in the series."

Head and Stature reflect a binary coding where people are classified according to whether they are below or above the average for the population.

Source

Burt, C. (1950). The factorial analysis of qualitative data, British Journal of Statistical Psychology, 3(3), 166-185. Table IX.

Examples

data(Burt)
mosaic(Freq ~ Hair + Eyes + Head + Stature, data=Burt, shade=TRUE)

#or
burt.tab <- xtabs(Freq ~ Hair + Eyes + Head + Stature, data=Burt)
mosaic(burt.tab, shade=TRUE)