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<meta property="og:description" content="Skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean.
When negative: the left tail is longer; the mass of the distribution is concentrated on the right of the figure. When positive: the right tail is longer; the mass of the distribution is concentrated on the left of the figure." />
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<h1>Skewness of the sample</h1>
<div class="hidden name"><code>skewness.Rd</code></div>
</div>
<div class="ref-description">
<p>Skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean.</p>
<p>When negative: the left tail is longer; the mass of the distribution is concentrated on the right of the figure. When positive: the right tail is longer; the mass of the distribution is concentrated on the left of the figure.</p>
</div>
<pre class="usage"><span class='fu'>skewness</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'>skewness</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'>skewness</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'>skewness</span>(<span class='no'>x</span>, <span class='kw'>na.rm</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)</pre>
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<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
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<colgroup><col class="name" /><col class="desc" /></colgroup>
<tr>
<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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</tr>
<tr>
<th>na.rm</th>
<td><p>a logical value indicating whether <code>NA</code> values should be stripped before the computation proceeds.</p></td>
</tr>
</table>
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<h2 class="hasAnchor" id="questioning-lifecycle"><a class="anchor" href="#questioning-lifecycle"></a>Questioning lifecycle</h2>
<p><img src='figures/lifecycle_questioning.svg' style=margin-bottom:5px /> <br />
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>
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<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>
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<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 comprehensive 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>
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<h2 class="hasAnchor" id="see-also"><a class="anchor" href="#see-also"></a>See also</h2>
<div class='dont-index'><p><code><a href='kurtosis.html'>kurtosis()</a></code></p></div>
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<h2>Contents</h2>
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<li><a href="#arguments">Arguments</a></li>
<li><a href="#questioning-lifecycle">Questioning lifecycle</a></li>
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<li><a href="#read-more-on-our-website-">Read more on our website!</a></li>
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<li><a href="#see-also">See also</a></li>
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<p>Developed by <a href='https://www.rug.nl/staff/m.s.berends/'>Matthijs S. Berends</a>, <a href='https://www.rug.nl/staff/c.f.luz/'>Christian F. Luz</a>, <a href='https://www.rug.nl/staff/a.w.friedrich/'>Alexander W. Friedrich</a>, <a href='https://www.rug.nl/staff/b.sinha/'>Bhanu N. M. Sinha</a>, <a href='https://www.rug.nl/staff/c.j.albers/'>Casper J. Albers</a>, <a href='https://www.rug.nl/staff/c.glasner/'>Corinna Glasner</a>.</p>
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