HairEyeColor {base} | R Documentation

## Hair and Eye Color of Statistics Students

### Description

Distribution of hair and eye color and sex in 592 statistics students.

### Usage

    data(HairEyeColor)

### Format

A 3-dimensional array resulting from cross-tabulating 592 observations on 3 variables. The variables and their levels are as follows:

No | Name | Levels
1 | Hair | Black, Brown, Red, Blond
2 | Eye | Brown, Blue, Hazel, Green
3 | Sex | Male, Female

### Details

This data set is useful for illustrating various techniques for the analysis of contingency tables, such as the standard chi-square test or, more generally, log-linear modelling, and graphical methods such as mosaic plots, sieve diagrams or association plots.

### References

Snee, R. D. (1974), Graphical display of two-way contingency tables. The American Statistician, 28, 9–12.

Friendly, M. (1992), Graphical methods for categorical data. SAS User Group International Conference Proceedings, 17, 190–200. http://hotspur.psych.yorku.ca/SCS/sugi/sugi17-paper.html

Friendly, M. (1992), Mosaic displays for loglinear models. Proceedings of the Statistical Graphics Section, American Statistical Association, pp. 61–68. http://hotspur.psych.yorku.ca/SCS/Papers/asa92.html

### Examples

    data(HairEyeColor)
    ## Full mosaic
    mosaicplot(HairEyeColor)
    ## Aggregate over sex:
    x <- apply(HairEyeColor, c(1, 2), sum)
    x
    mosaicplot(x, main = "Relation between hair and eye color")

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