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(v1.8.1.9012) update prevalence of some genera
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@ -17,7 +17,7 @@
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</button>
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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="Released version">1.8.1.9007</span>
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<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">1.8.1.9012</span>
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</span>
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</div>
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@ -203,7 +203,7 @@
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<span class="op">)</span>
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<span class="co"># S3 method for resistance_predict</span>
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<span class="fu"><a href="https://ggplot2.tidyverse.org/reference/autoplot.html" class="external-link">autoplot</a></span><span class="op">(</span>
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<span class="fu">autoplot</span><span class="op">(</span>
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<span class="va">object</span>,
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main <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/paste.html" class="external-link">paste</a></span><span class="op">(</span><span class="st">"Resistance Prediction of"</span>, <span class="va">x_name</span><span class="op">)</span>,
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ribbon <span class="op">=</span> <span class="cn">TRUE</span>,
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@ -228,7 +228,7 @@
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<dt>minimum</dt>
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<dd><p>minimal amount of available isolates per year to include. Years containing less observations will be estimated by the model.</p></dd>
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<dt>model</dt>
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<dd><p>the statistical model of choice. This could be a generalised linear regression model with binomial distribution (i.e. using `glm(..., family = binomial)``, assuming that a period of zero resistance was followed by a period of increasing resistance leading slowly to more and more resistance. See <em>Details</em> for all valid options.</p></dd>
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<dd><p>the statistical model of choice. This could be a generalised linear regression model with binomial distribution (i.e. using <code>glm(..., family = binomial)</code>, assuming that a period of zero resistance was followed by a period of increasing resistance leading slowly to more and more resistance. See <em>Details</em> for all valid options.</p></dd>
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<dt>I_as_S</dt>
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<dd><p>a <a href="https://rdrr.io/r/base/logical.html" class="external-link">logical</a> to indicate whether values <code>"I"</code> should be treated as <code>"S"</code> (will otherwise be treated as <code>"R"</code>). The default, <code>TRUE</code>, follows the redefinition by EUCAST about the interpretation of I (increased exposure) in 2019, see section <em>Interpretation of S, I and R</em> below.</p></dd>
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<dt>preserve_measurements</dt>
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