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

Burt {vcdExtra} | R Documentation

## 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 observations 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)

[Package vcdExtra version 0.7-1 Index]