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(v0.9.0.9023) EUCAST 2020 guidelines

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dr. M.S. (Matthijs) Berends
2020-02-14 19:54:13 +01:00
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@ -45,7 +45,7 @@
</button>
<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">0.9.0.9022</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.9.0.9023</span>
</span>
</div>
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</header><div class="row">
<div class="contents col-md-9">
<div id="amr-for-r" class="section level1">
<div id="amr-for-r-" class="section level1">
<div class="page-header"><h1 class="hasAnchor">
<a href="#amr-for-r" class="anchor"></a><code>AMR</code> (for R) <img src="./logo.png" align="right" height="120px">
<a href="#amr-for-r-" class="anchor"></a><code>AMR</code> (for R) <img src="./logo.png" align="right" height="120px">
</h1></div>
<blockquote>
<p><em>18 October 2019</em><br><strong>METHODS PAPER PREPRINTED</strong><br>
@ -265,7 +265,7 @@ A methods paper about this package has been preprinted at bioRxiv (DOI: 10.1101/
<h4 class="hasAnchor">
<a href="#latest-released-version" class="anchor"></a>Latest released version</h4>
<p>This package is available <a href="https://cran.r-project.org/package=AMR">here on the official R network (CRAN)</a>, which has a peer-reviewed submission process. Install this package in R from CRAN by using the command:</p>
<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb1-1" data-line-number="1"><span class="kw"><a href="https://rdrr.io/r/utils/install.packages.html">install.packages</a></span>(<span class="st">"AMR"</span>)</a></code></pre></div>
<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1"></a><span class="kw"><a href="https://rdrr.io/r/utils/install.packages.html">install.packages</a></span>(<span class="st">"AMR"</span>)</span></code></pre></div>
<p>It will be downloaded and installed automatically. For RStudio, click on the menu <em>Tools</em> &gt; <em>Install Packages…</em> and then type in “AMR” and press <kbd>Install</kbd>.</p>
<p><strong>Note:</strong> Not all functions on this website may be available in this latest release. To use all functions and data sets mentioned on this website, install the latest development version.</p>
</div>
@ -273,8 +273,8 @@ A methods paper about this package has been preprinted at bioRxiv (DOI: 10.1101/
<h4 class="hasAnchor">
<a href="#latest-development-version" class="anchor"></a>Latest development version</h4>
<p>The latest and unpublished development version can be installed with (<strong>precaution: may be unstable</strong>):</p>
<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb2-1" data-line-number="1"><span class="kw"><a href="https://rdrr.io/r/utils/install.packages.html">install.packages</a></span>(<span class="st">"devtools"</span>)</a>
<a class="sourceLine" id="cb2-2" data-line-number="2">devtools<span class="op">::</span><span class="kw"><a href="https://rdrr.io/pkg/devtools/man/remote-reexports.html">install_gitlab</a></span>(<span class="st">"msberends/AMR"</span>)</a></code></pre></div>
<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1"></a><span class="kw"><a href="https://rdrr.io/r/utils/install.packages.html">install.packages</a></span>(<span class="st">"devtools"</span>)</span>
<span id="cb2-2"><a href="#cb2-2"></a>devtools<span class="op">::</span><span class="kw"><a href="https://rdrr.io/pkg/devtools/man/remote-reexports.html">install_gitlab</a></span>(<span class="st">"msberends/AMR"</span>)</span></code></pre></div>
</div>
</div>
<div id="get-started" class="section level3">
@ -298,9 +298,9 @@ A methods paper about this package has been preprinted at bioRxiv (DOI: 10.1101/
<p><strong>NOTE: The WHOCC copyright does not allow use for commercial purposes, unlike any other info from this package. See <a href="https://www.whocc.no/copyright_disclaimer/" class="uri">https://www.whocc.no/copyright_disclaimer/</a>.</strong></p>
<p>Read more about the data from WHOCC <a href="./reference/WHOCC.html">in our manual</a>.</p>
</div>
<div id="whonet-ears-net" class="section level4">
<div id="whonet--ears-net" class="section level4">
<h4 class="hasAnchor">
<a href="#whonet-ears-net" class="anchor"></a>WHONET / EARS-Net</h4>
<a href="#whonet--ears-net" class="anchor"></a>WHONET / EARS-Net</h4>
<p>We support WHONET and EARS-Net data. Exported files from WHONET can be imported into R and can be analysed easily using this package. For education purposes, we created an <a href="./reference/WHONET.html">example data set <code>WHONET</code></a> with the exact same structure as a WHONET export file. Furthermore, this package also contains a <a href="./reference/antibiotics.html">data set antibiotics</a> with all EARS-Net antibiotic abbreviations, and knows almost all WHONET abbreviations for microorganisms. When using WHONET data as input for analysis, all input parameters will be set automatically.</p>
<p>Read our tutorial about <a href="./articles/WHONET.html">how to work with WHONET data here</a>.</p>
</div>