+--------------+-------------------+
| WomenQueue   | R Documentation   |
+--------------+-------------------+

Women in Queues
---------------

Description
~~~~~~~~~~~

Data from Jinkinson \\& Slater (1981) and Hoaglin \\& Tukey (1985)
reporting the frequency distribution of females in 100 queues of length
10 in a London Underground station.

Usage
~~~~~

::

    data("WomenQueue")

Format
~~~~~~

A 1-way table giving the number of women in 100 queues of length 10. The
variable and its levels are

+------+----------+-----------------+
| No   | Name     | Levels          |
+------+----------+-----------------+
| 1    | nWomen   | 0, 1, ..., 10   |
+------+----------+-----------------+
+------+----------+-----------------+

Source
~~~~~~

M. Friendly (2000), Visualizing Categorical Data, pages 19–20.

References
~~~~~~~~~~

D. C. Hoaglin \\& J. W. Tukey (1985), Checking the shape of discrete
distributions. In D. C. Hoaglin, F. Mosteller, J. W. Tukey (eds.),
*Exploring Data Tables, Trends and Shapes*, chapter 9. John Wiley \\&
Sons, New York.

R. A. Jinkinson \\& M. Slater (1981), Critical discussion of a graphical
method for identifying discrete distributions, *The Statistician*,
**30**, 239–248.

M. Friendly (2000), *Visualizing Categorical Data*. SAS Institute, Cary,
NC.

Examples
~~~~~~~~

::

    data("WomenQueue")
    gf <- goodfit(WomenQueue, type = "binomial")
    summary(gf)
    plot(gf)

