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<h1>Kurtosis of the sample</h1>
<div class="hidden name"><code>kurtosis.Rd</code></div>
</div>
<div class="ref-description">
<p>Kurtosis is a measure of the "tailedness" of the probability distribution of a real-valued random variable.</p>
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<pre class="usage"><span class='fu'>kurtosis</span>(<span class='no'>x</span>, <span class='kw'>na.rm</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<span class='co'># S3 method for default</span>
<span class='fu'>kurtosis</span>(<span class='no'>x</span>, <span class='kw'>na.rm</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<span class='co'># S3 method for matrix</span>
<span class='fu'>kurtosis</span>(<span class='no'>x</span>, <span class='kw'>na.rm</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<span class='co'># S3 method for data.frame</span>
<span class='fu'>kurtosis</span>(<span class='no'>x</span>, <span class='kw'>na.rm</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)</pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
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<th>x</th>
<td><p>a vector of values, a <code><a href='https://rdrr.io/r/base/matrix.html'>matrix</a></code> or a <code><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></code></p></td>
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<th>na.rm</th>
<td><p>a logical value indicating whether <code>NA</code> values should be stripped before the computation proceeds.</p></td>
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<h2 class="hasAnchor" id="questioning-lifecycle"><a class="anchor" href="#questioning-lifecycle"></a>Questioning lifecycle</h2>
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The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>questioning</strong>. We are no longer convinced that this function is the optimal approach (but we do not know yet what a better approach would be), or whether this function should be in our <code>AMR</code> package at all.</p>
<h2 class="hasAnchor" id="read-more-on-our-website-"><a class="anchor" href="#read-more-on-our-website-"></a>Read more on our website!</h2>
<p>On our website <a href='https://msberends.gitlab.io/AMR'>https://msberends.gitlab.io/AMR</a> you can find <a href='https://msberends.gitlab.io/AMR/articles/AMR.html'>a tutorial</a> about how to conduct AMR analysis, the <a href='https://msberends.gitlab.io/AMR/reference'>complete documentation of all functions</a> (which reads a lot easier than here in R) and <a href='https://msberends.gitlab.io/AMR/articles/WHONET.html'>an example analysis using WHONET data</a>.</p>
<h2 class="hasAnchor" id="see-also"><a class="anchor" href="#see-also"></a>See also</h2>
<div class='dont-index'><p><code><a href='skewness.html'>skewness()</a></code></p></div>
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<h2>Contents</h2>
<ul class="nav nav-pills nav-stacked">
<li><a href="#arguments">Arguments</a></li>
<li><a href="#questioning-lifecycle">Questioning lifecycle</a></li>
<li><a href="#read-more-on-our-website-">Read more on our website!</a></li>
<li><a href="#see-also">See also</a></li>
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