# HairEyeColor

##### Hair and Eye Color of Statistics Students

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

- Keywords
- datasets

##### Usage

`HairEyeColor`

##### Details

The Hair \(\times\) Eye table comes rom a survey of students at
the University of Delaware reported by Snee (1974). The split by
`Sex`

was added by Friendly (1992a) for didactic purposes.

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.

##### 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 |

##### References

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

Friendly, M. (1992a)
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. (1992b)
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

Friendly, M. (2000)
*Visualizing Categorical Data.*
SAS Institute, ISBN 1-58025-660-0.

##### See Also

##### Examples

`library(datasets)`

```
# NOT RUN {
require(graphics)
## Full mosaic
mosaicplot(HairEyeColor)
## Aggregate over sex (as in Snee's original data)
x <- apply(HairEyeColor, c(1, 2), sum)
x
mosaicplot(x, main = "Relation between hair and eye color")
# }
```

*Documentation reproduced from package datasets, version 3.4.3, License: Part of R 3.4.3*