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<html><head><title>R: Age of Menarche in Warsaw</title>
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<table width="100%" summary="page for menarche"><tr><td>menarche</td><td align="right">R Documentation</td></tr></table>

<h2>
Age of Menarche in Warsaw
</h2>

<h3>Description</h3>


<p>Proportions of female children at various ages during adolescence
who have reached menarche.
</p>


<h3>Usage</h3>

<pre>
menarche
</pre>


<h3>Format</h3>


<p>This data frame contains the following columns:
</p>

<dl>
<dt><code>Age</code></dt><dd>
<p>Average age of the group.  (The groups are reasonably age homogeneous.)
</p>
</dd>
<dt><code>Total</code></dt><dd>
<p>Total number of children in the group.
</p>
</dd>
<dt><code>Menarche</code></dt><dd>
<p>Number who have reached menarche.
</p>
</dd>
</dl>



<h3>Source</h3>


<p>Milicer, H. and Szczotka, F. (1966) Age at Menarche in Warsaw girls in
1965.
<EM>Human Biology</EM> <B>38</B>, 199&ndash;203.
</p>
<p>The data are also given in<br>
Aranda-Ordaz, F.J. (1981)
On two families of transformations to additivity for binary response data.
<EM>Biometrika</EM> <B>68</B>, 357&ndash;363.
</p>


<h3>References</h3>


<p>Venables, W. N. and Ripley, B. D. (2002)
<EM>Modern Applied Statistics with S.</EM> Fourth edition.  Springer.
</p>


<h3>Examples</h3>

<pre>
mprob &lt;- glm(cbind(Menarche, Total - Menarche) ~ Age,
             binomial(link = probit), data = menarche)
</pre>


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