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:

Details

The Hair \times Eye table comes from a survey of students at the University of Delaware reported by ⁠Snee (1974). The split by Sex was added by ⁠Friendly (1992) 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.

Source

http://www.datavis.ca/sas/vcd/catdata/haireye.sas

⁠Snee (1974) gives the two-way table aggregated over Sex. The Sex split of the ‘Brown hair, Brown eye’ cell was changed to agree with that used by ⁠Friendly (2000).

References

⁠Friendly M (1992). “Mosaic Displays for Loglinear Models.” In Proceedings of the Statistical Graphics Section, 61–68. American Statistical Association. http://www.datavis.ca/papers/asa92.html.

⁠Friendly M (1992). “Graphical Methods for Categorical Data.” In Proceedings of the Seventeenth Annual SAS User's Group International Conference, 1367–1373. http://datavis.ca/papers/sugi/sugi17.pdf.

⁠Friendly M (2000). Visualizing Categorical Data, series SAS series in statistical applications. SAS Institute. ISBN 9781580256605.

⁠Snee RD (1974). “Graphical Display of Two-way Contingency Tables.” The American Statistician, 28(1), 9–12. doi:10.1080/00031305.1974.10479053.

See Also

chisq.test, loglin, mosaicplot

Examples

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")