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(v1.6.0.9015) italicise_taxonomy
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@ -81,7 +81,7 @@
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<span class="navbar-brand">
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<a class="navbar-link" href="../index.html">AMR (for R)</a>
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<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.6.0.9014</span>
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<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.6.0.9015</span>
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</span>
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</div>
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<small>Source: <a href='https://github.com/msberends/AMR/blob/master/NEWS.md'><code>NEWS.md</code></a></small>
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</div>
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<div id="amr-1609014" class="section level1">
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<h1 class="page-header" data-toc-text="1.6.0.9014">
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<a href="#amr-1609014" class="anchor"></a><small> Unreleased </small><code>AMR</code> 1.6.0.9014</h1>
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<div id="last-updated-30-april-2021" class="section level2">
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<div id="amr-1609015" class="section level1">
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<h1 class="page-header" data-toc-text="1.6.0.9015">
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<a href="#amr-1609015" class="anchor"></a><small> Unreleased </small><code>AMR</code> 1.6.0.9015</h1>
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<div id="last-updated-3-may-2021" class="section level2">
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<h2 class="hasAnchor">
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<a href="#last-updated-30-april-2021" class="anchor"></a><small>Last updated: 30 April 2021</small>
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<a href="#last-updated-3-may-2021" class="anchor"></a><small>Last updated: 3 May 2021</small>
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</h2>
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<div id="new" class="section level3">
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<h3 class="hasAnchor">
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@ -249,6 +249,7 @@
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<ul>
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<li>Function <code><a href="../reference/custom_eucast_rules.html">custom_eucast_rules()</a></code> that brings support for custom AMR rules in <code><a href="../reference/eucast_rules.html">eucast_rules()</a></code>
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</li>
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<li>Function <code><a href="../reference/italicise_taxonomy.html">italicise_taxonomy()</a></code> to make taxonomic names within a string italic, with support for markdown and ANSI</li>
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<li>Support for all four methods to determine first isolates as summarised by Hindler <em>et al</em> (doi: <a href="https://doi.org/10.1086/511864">10.1086/511864</a>): isolate-based, patient-based, episode-based and phenotype-based. The last method is now the default.
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<ul>
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<li>The <code><a href="../reference/first_isolate.html">first_isolate()</a></code> function gained the argument <code>method</code> that has to be “phenotype-based”, “episode-based”, “patient-based”, or “isolate-based”. The old behaviour is equal to “episode-based”. The new default is “phenotype-based” if antimicrobial test results are available, and “episode-based” otherwise. This new default will yield slightly more isolates for selection (which is a good thing).</li>
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<span class="co">#> Filtering on oxazolidinones: value in column `LNZ` (linezolid) is either "R", "S" or "I"</span></code></pre></div>
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</li>
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<li><p>Support for custom MDRO guidelines, using the new <code><a href="../reference/mdro.html">custom_mdro_guideline()</a></code> function, please see <code><a href="../reference/mdro.html">mdro()</a></code> for additional info</p></li>
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<li><p><code>ggplot()</code> generics for classes <code><mic></code> and <code><disk></code></p></li>
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<li><p><code><a href="https://ggplot2.tidyverse.org/reference/ggplot.html">ggplot()</a></code> generics for classes <code><mic></code> and <code><disk></code></p></li>
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<li>
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<p>Function <code><a href="../reference/mo_property.html">mo_is_yeast()</a></code>, which determines whether a microorganism is a member of the taxonomic class Saccharomycetes or the taxonomic order Saccharomycetales:</p>
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<div class="sourceCode" id="cb3"><pre class="downlit sourceCode r">
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<li>Plotting of MIC and disk diffusion values now support interpretation colouring if you supply the microorganism and antimicrobial agent</li>
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<li>All colours were updated to colour-blind friendly versions for values R, S and I for all plot methods (also applies to tibble printing)</li>
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<li>Interpretation of MIC and disk diffusion values to R/SI will now be translated if the system language is German, Dutch or Spanish (see <code>translate</code>)</li>
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<li>Plotting is now possible with base R using <code><a href="../reference/plot.html">plot()</a></code> and with ggplot2 using <code>ggplot()</code> on any vector of MIC and disk diffusion values</li>
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<li>Plotting is now possible with base R using <code><a href="../reference/plot.html">plot()</a></code> and with ggplot2 using <code><a href="https://ggplot2.tidyverse.org/reference/ggplot.html">ggplot()</a></code> on any vector of MIC and disk diffusion values</li>
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</ul>
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</li>
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<li>Updated SNOMED codes to US Edition of SNOMED CT from 1 September 2020 and added the source to the help page of the <code>microorganisms</code> data set</li>
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