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<title>Oxford and Worthing annual maximum temperatures — ow • lax</title>
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<h1>Oxford and Worthing annual maximum temperatures</h1>
<small class="dont-index">Source: <a href='https://github.com/paulnorthrop/lax/blob/master/R/lax.R'><code>R/lax.R</code></a></small>
<div class="hidden name"><code>ow.Rd</code></div>
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<div class="ref-description">
<p>Annual maximum temperatures at Oxford and Worthing (England), for the
period 1901 to 1980.</p>
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<pre class="usage"><span class='va'>ow</span></pre>
<h2 class="hasAnchor" id="format"><a class="anchor" href="#format"></a>Format</h2>
<p>A dataframe with 80 rows and 4 columns.</p><ul>
<li><p>Column 1, <code>temp</code>: annual maximum temperatures in degrees
Fahrenheit.</p></li>
<li><p>Column 2, <code>year</code>: year in which the maximum was recorded.</p></li>
<li><p>Column 3, <code>name</code>: name of location, "oxford" or "worthing"</p></li>
<li><p>Column 4, <code>loc</code>: location: 1 for "oxford", -1 for
"worthing"</p></li>
</ul>
<h2 class="hasAnchor" id="source"><a class="anchor" href="#source"></a>Source</h2>
<p>Tabony, R. C. (1983) Extreme value analysis in meteorology.
<em>The Meteorological Magazine</em>, <strong>112</strong>, 77-98.</p>
<h2 class="hasAnchor" id="references"><a class="anchor" href="#references"></a>References</h2>
<p>Chandler, R. E. and Bate, S. (2007). Inference for clustered
data using the independence loglikelihood. <em>Biometrika</em>,
<strong>94</strong>(1), 167-183. doi: <a href='https://doi.org/10.1093/biomet/asm015'>10.1093/biomet/asm015</a></p>
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