#### 8.2.57.26 tblish.dataset.HairEyeColor ¶

Static Method: `out =` HairEyeColor `()` ¶

  Hair and Eye Color of Statistics Students

  #### Description ¶

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

  #### Format ¶

  This data set comes in multiple variables

  `n`

    A 3-dimensional array containing the counts of students in each bucket. It is arranged as hair-by-eye-by-sex.

  `hair`

    Hair colors for the indexes along dimension 1.

  `eye`

    Eye colors for the indexes along dimension 2.

  `sex`

    Sexes for the indexes along dimension 3.

  #### Details ¶

  The Hair x 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.

  #### Source ¶

  http://euclid.psych.yorku.ca/ftp/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 ¶

  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.

  #### Examples ¶

      tblish.dataset.HairEyeColor

      # TODO: Aggregate over sex and display a table of counts

      # TODO: Port mosaic plot to Octave