HairEyeColor              package: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-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.
     <URL: 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. <URL:
     http://www.math.yorku.ca/SCS/Papers/asa92.html>

See Also:

     'chisq.test', 'loglin', 'mosaicplot'

Examples:

     require(graphics)
     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")

