WomenQueue

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

datasets

Visualization techniques, data sets, summary and inference
procedures aimed particularly at categorical data. Special
emphasis is given to highly extensible grid graphics. The
package was package was originally inspired by the book
"Visualizing Categorical Data" by Michael Friendly and is
now the main support package for a new book,
"Discrete Data Analysis with R" by Michael Friendly and
David Meyer (2015).

David Meyer

Visualizing Categorical Data

Achim Zeileis

Kurt Hornik

Florian Gerber

Michael Friendly

WomenQueue function

<p>A 1-way table giving the number of women in 100 queues of length
  10.  The variable and its levels are</p><table class="table">
<tr><td>No</td><td>Name</td><td>Levels</td></tr>
<tr><td>1</td><td>nWomen</td><td>0, 1, ..., 10</td></tr>
</table><p></p><p></p>

Format

Women in Queues — WomenQueue

<p>A 1-way table giving the number of women in 100 queues of length
  10.  The variable and its levels are</p><table class='table'>
<tr><td>No</td><td>Name</td><td>Levels</td></tr>
<tr><td>1</td><td>nWomen</td><td>0, 1, ..., 10</td></tr>
</table>



WomenQueue: Women in Queues

Description

Usage

Arguments

Format

References

Examples

No	Name	Levels
1	nWomen	0, 1, ..., 10