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(v1.0.1.9004) Support dplyr 1.0.0

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2020-03-14 14:05:43 +01:00
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<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.0.1</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.0.1.9004</span>
</span>
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Predict antimicrobial resistance
</a>
</li>
<li>
<a href="../articles/PCA.html">
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Conduct principal component analysis for AMR
</a>
</li>
<li>
<a href="../articles/MDR.html">
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<h2 class="hasAnchor" id="format"><a class="anchor" href="#format"></a>Format</h2>
<h3>For the antibiotics data set: a <code><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></code> with 452 observations and 14 variables:</h3>
<h3>For the antibiotics data set: a <code><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></code> with 452 observations and 14 variables:</h3>
<ul>
<li><p><code>ab</code><br /> Antibiotic ID as used in this package (like <code>AMC</code>), using the official EARS-Net (European Antimicrobial Resistance Surveillance Network) codes where available</p></li>
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<li><p><code>iv_units</code><br /> Units of <code>iv_ddd</code></p></li>
</ul>
<p>An object of class <code>data.frame</code> with 102 rows and 9 columns.</p>
<h2 class="hasAnchor" id="source"><a class="anchor" href="#source"></a>Source</h2>
<p>World Health Organization (WHO) Collaborating Centre for Drug Statistics Methodology (WHOCC): <a href='https://www.whocc.no/atc_ddd_index/'>https://www.whocc.no/atc_ddd_index/</a></p>