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<h1>Kurtosis of the Sample</h1>
<small class="dont-index">Source: <a href='https://github.com/msberends/AMR/blob/main/R/kurtosis.R'><code>R/kurtosis.R</code></a></small>
<small class="dont-index">Source: <a href="https://github.com/msberends/AMR/blob/HEAD/R/kurtosis.R" class="external-link"><code>R/kurtosis.R</code></a></small>
<div class="hidden name"><code>kurtosis.Rd</code></div>
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@ -246,77 +161,66 @@
<p>Kurtosis is a measure of the "tailedness" of the probability distribution of a real-valued random variable. A normal distribution has a kurtosis of 3 and a excess kurtosis of 0.</p>
</div>
<div class="ref-usage sourceCode"><pre class='sourceCode r'><code><span class='fu'>kurtosis</span><span class='op'>(</span><span class='va'>x</span>, na.rm <span class='op'>=</span> <span class='cn'>FALSE</span>, excess <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span>
<div id="ref-usage">Usage,<div class="sourceCode"><pre class="sourceCode r"><code><span class="fu">kurtosis</span><span class="op">(</span><span class="va">x</span>, na.rm <span class="op">=</span> <span class="cn">FALSE</span>, excess <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span>
<span class='co'># S3 method for default</span>
<span class='fu'>kurtosis</span><span class='op'>(</span><span class='va'>x</span>, na.rm <span class='op'>=</span> <span class='cn'>FALSE</span>, excess <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span>
<span class="co"># S3 method for default</span>
<span class="fu">kurtosis</span><span class="op">(</span><span class="va">x</span>, na.rm <span class="op">=</span> <span class="cn">FALSE</span>, excess <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span>
<span class='co'># S3 method for matrix</span>
<span class='fu'>kurtosis</span><span class='op'>(</span><span class='va'>x</span>, na.rm <span class='op'>=</span> <span class='cn'>FALSE</span>, excess <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span>
<span class="co"># S3 method for matrix</span>
<span class="fu">kurtosis</span><span class="op">(</span><span class="va">x</span>, na.rm <span class="op">=</span> <span class="cn">FALSE</span>, excess <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span>
<span class='co'># S3 method for data.frame</span>
<span class='fu'>kurtosis</span><span class='op'>(</span><span class='va'>x</span>, na.rm <span class='op'>=</span> <span class='cn'>FALSE</span>, excess <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span></code></pre></div>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
<table class="ref-arguments">
<colgroup><col class="name" /><col class="desc" /></colgroup>
<tr>
<th>x</th>
<td><p>a vector of values, a <a href='https://rdrr.io/r/base/matrix.html'>matrix</a> or a <a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></p></td>
</tr>
<tr>
<th>na.rm</th>
<td><p>a <a href='https://rdrr.io/r/base/logical.html'>logical</a> to indicate whether <code>NA</code> values should be stripped before the computation proceeds</p></td>
</tr>
<tr>
<th>excess</th>
<td><p>a <a href='https://rdrr.io/r/base/logical.html'>logical</a> to indicate whether the <em>excess kurtosis</em> should be returned, defined as the kurtosis minus 3.</p></td>
</tr>
</table>
<h2 class="hasAnchor" id="stable-lifecycle"><a class="anchor" href="#stable-lifecycle"></a>Stable Lifecycle</h2>
<span class="co"># S3 method for data.frame</span>
<span class="fu">kurtosis</span><span class="op">(</span><span class="va">x</span>, na.rm <span class="op">=</span> <span class="cn">FALSE</span>, excess <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></code></pre></div></div>
<div id="arguments">
<h2>Arguments</h2>
<dl><dt>x</dt>
<dd><p>a vector of values, a <a href="https://rdrr.io/r/base/matrix.html" class="external-link">matrix</a> or a <a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></p></dd>
<dt>na.rm</dt>
<dd><p>a <a href="https://rdrr.io/r/base/logical.html" class="external-link">logical</a> to indicate whether <code>NA</code> values should be stripped before the computation proceeds</p></dd>
<dt>excess</dt>
<dd><p>a <a href="https://rdrr.io/r/base/logical.html" class="external-link">logical</a> to indicate whether the <em>excess kurtosis</em> should be returned, defined as the kurtosis minus 3.</p></dd>
</dl></div>
<div id="stable-lifecycle">
<h2>Stable Lifecycle</h2>
<p><img src='figures/lifecycle_stable.svg' style=margin-bottom:5px /> <br />
The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</strong>. In a stable function, major changes are unlikely. This means that the unlying code will generally evolve by adding new arguments; removing arguments or changing the meaning of existing arguments will be avoided.</p>
<p>If the unlying code needs breaking changes, they will occur gradually. For example, a argument will be deprecated and first continue to work, but will emit an message informing you of the change. Next, typically after at least one newly released version on CRAN, the message will be transformed to an error.</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><img src="figures/lifecycle_stable.svg" style="margin-bottom:5px"><br>
The <a href="lifecycle.html">lifecycle</a> of this function is <strong>stable</strong>. In a stable function, major changes are unlikely. This means that the unlying code will generally evolve by adding new arguments; removing arguments or changing the meaning of existing arguments will be avoided.</p>
<p>If the unlying code needs breaking changes, they will occur gradually. For example, an argument will be deprecated and first continue to work, but will emit an message informing you of the change. Next, typically after at least one newly released version on CRAN, the message will be transformed to an error.</p>
</div>
<div id="read-more-on-our-website-">
<h2>Read more on Our Website!</h2>
<p>On our website <a href='https://msberends.github.io/AMR/'>https://msberends.github.io/AMR/</a> you can find <a href='https://msberends.github.io/AMR/articles/AMR.html'>a comprehensive tutorial</a> about how to conduct AMR data analysis, the <a href='https://msberends.github.io/AMR/reference/'>complete documentation of all functions</a> and <a href='https://msberends.github.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>
<p>On our website <a href="https://msberends.github.io/AMR/">https://msberends.github.io/AMR/</a> you can find <a href="https://msberends.github.io/AMR/articles/AMR.html">a comprehensive tutorial</a> about how to conduct AMR data analysis, the <a href="https://msberends.github.io/AMR/reference/">complete documentation of all functions</a> and <a href="https://msberends.github.io/AMR/articles/WHONET.html">an example analysis using WHONET data</a>.</p>
</div>
<div id="see-also">
<h2>See also</h2>
<div class="dont-index"><p><code><a href="skewness.html">skewness()</a></code></p></div>
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