HairEyeColor {datasets} | R Documentation |

## Hair and Eye Color of Statistics Students

### Description

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

### Usage

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-squared 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://www.math.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://www.math.yorku.ca/SCS/Papers/asa92.html

### See Also

`chisq.test`

,
`loglin`

,
`mosaicplot`

### Examples

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

[Package

*datasets* version 2.1.0

Index]