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(v1.4.0.9062) unit test fix

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dr. M.S. (Matthijs) Berends
2021-01-04 14:46:17 +01:00
parent a7ea4c9d2f
commit 1563dcd1aa
13 changed files with 53 additions and 56 deletions
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@ -43,7 +43,7 @@
</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">1.4.0.9061</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0.9062</span>
</span>
</div>
@ -222,9 +222,9 @@ Since you are one of our users, we would like to know how you use the package an
<span class="kw"><a href="https://rdrr.io/r/base/library.html">library</a></span><span class="op">(</span><span class="va"><a href="https://dplyr.tidyverse.org">dplyr</a></span><span class="op">)</span>
<span class="va">example_isolates</span> <span class="op">%&gt;%</span>
<span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html">mutate</a></span><span class="op">(</span>mo <span class="op">=</span> <span class="fu"><a href="reference/mo_property.html">mo_fullname</a></span><span class="op">(</span><span class="va">mo</span><span class="op">)</span><span class="op">)</span> <span class="op">%&gt;%</span>
<span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html">filter</a></span><span class="op">(</span><span class="fu"><a href="reference/mo_property.html">mo_is_gram_negative</a></span><span class="op">(</span><span class="op">)</span>, <span class="fu"><a href="reference/mo_property.html">mo_is_intrinsic_resistant</a></span><span class="op">(</span>ab <span class="op">=</span> <span class="st">"cefotax"</span><span class="op">)</span><span class="op">)</span> <span class="op">%&gt;%</span>
<span class="fu"><a href="https://dplyr.tidyverse.org/reference/select.html">select</a></span><span class="op">(</span><span class="va">mo</span>, <span class="fu"><a href="reference/antibiotic_class_selectors.html">aminoglycosides</a></span><span class="op">(</span><span class="op">)</span>, <span class="fu"><a href="reference/antibiotic_class_selectors.html">carbapenems</a></span><span class="op">(</span><span class="op">)</span><span class="op">)</span>
<span class="fu"><a href="https://rdrr.io/pkg/dplyr/man/mutate.html">mutate</a></span><span class="op">(</span>mo <span class="op">=</span> <span class="fu"><a href="reference/mo_property.html">mo_fullname</a></span><span class="op">(</span><span class="va">mo</span><span class="op">)</span><span class="op">)</span> <span class="op">%&gt;%</span>
<span class="fu"><a href="https://rdrr.io/pkg/dplyr/man/filter.html">filter</a></span><span class="op">(</span><span class="fu"><a href="reference/mo_property.html">mo_is_gram_negative</a></span><span class="op">(</span><span class="op">)</span>, <span class="fu"><a href="reference/mo_property.html">mo_is_intrinsic_resistant</a></span><span class="op">(</span>ab <span class="op">=</span> <span class="st">"cefotax"</span><span class="op">)</span><span class="op">)</span> <span class="op">%&gt;%</span>
<span class="fu"><a href="https://rdrr.io/pkg/dplyr/man/select.html">select</a></span><span class="op">(</span><span class="va">mo</span>, <span class="fu"><a href="reference/antibiotic_class_selectors.html">aminoglycosides</a></span><span class="op">(</span><span class="op">)</span>, <span class="fu"><a href="reference/antibiotic_class_selectors.html">carbapenems</a></span><span class="op">(</span><span class="op">)</span><span class="op">)</span>
<span class="co">#&gt; NOTE: Using column 'mo' as input for mo_is_gram_negative()</span>
<span class="co">#&gt; NOTE: Using column 'mo' as input for mo_is_intrinsic_resistant()</span>
<span class="co">#&gt; NOTE: Determining intrinsic resistance based on 'EUCAST Expert Rules' and</span>
@ -359,7 +359,7 @@ Since you are one of our users, we would like to know how you use the package an
<p>The latest and unpublished development version can be installed from GitHub using:</p>
<div class="sourceCode" id="cb4"><pre class="downlit sourceCode r">
<code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/r/utils/install.packages.html">install.packages</a></span><span class="op">(</span><span class="st">"remotes"</span><span class="op">)</span>
<span class="fu">remotes</span><span class="fu">::</span><span class="fu"><a href="https://remotes.r-lib.org/reference/install_github.html">install_github</a></span><span class="op">(</span><span class="st">"msberends/AMR"</span><span class="op">)</span></code></pre></div>
<span class="fu">remotes</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/remotes/man/install_github.html">install_github</a></span><span class="op">(</span><span class="st">"msberends/AMR"</span><span class="op">)</span></code></pre></div>
</div>
</div>
<div id="get-started" class="section level3">
@ -420,7 +420,7 @@ Since you are one of our users, we would like to know how you use the package an
<li>
<p>It <strong>analyses the data</strong> with convenient functions that use well-known methods.</p>
<ul>
<li>Calculate the microbial susceptibility or resistance (and even co-resistance) with the <code><a href="reference/proportion.html">susceptibility()</a></code> and <code><a href="reference/proportion.html">resistance()</a></code> functions, or be even more specific with the <code><a href="reference/proportion.html">proportion_R()</a></code>, <code><a href="reference/proportion.html">proportion_IR()</a></code>, <code><a href="reference/proportion.html">proportion_I()</a></code>, <code><a href="reference/proportion.html">proportion_SI()</a></code> and <code><a href="reference/proportion.html">proportion_S()</a></code> functions. Similarly, the <em>number</em> of isolates can be determined with the <code><a href="reference/count.html">count_resistant()</a></code>, <code><a href="reference/count.html">count_susceptible()</a></code> and <code><a href="reference/count.html">count_all()</a></code> functions. All these functions can be used with the <code>dplyr</code> package (e.g. in conjunction with <code><a href="https://dplyr.tidyverse.org/reference/summarise.html">summarise()</a></code>)</li>
<li>Calculate the microbial susceptibility or resistance (and even co-resistance) with the <code><a href="reference/proportion.html">susceptibility()</a></code> and <code><a href="reference/proportion.html">resistance()</a></code> functions, or be even more specific with the <code><a href="reference/proportion.html">proportion_R()</a></code>, <code><a href="reference/proportion.html">proportion_IR()</a></code>, <code><a href="reference/proportion.html">proportion_I()</a></code>, <code><a href="reference/proportion.html">proportion_SI()</a></code> and <code><a href="reference/proportion.html">proportion_S()</a></code> functions. Similarly, the <em>number</em> of isolates can be determined with the <code><a href="reference/count.html">count_resistant()</a></code>, <code><a href="reference/count.html">count_susceptible()</a></code> and <code><a href="reference/count.html">count_all()</a></code> functions. All these functions can be used with the <code>dplyr</code> package (e.g. in conjunction with <code><a href="https://rdrr.io/pkg/dplyr/man/summarise.html">summarise()</a></code>)</li>
<li>Plot AMR results with <code><a href="reference/ggplot_rsi.html">geom_rsi()</a></code>, a function made for the <code>ggplot2</code> package</li>
<li>Predict antimicrobial resistance for the nextcoming years using logistic regression models with the <code><a href="reference/resistance_predict.html">resistance_predict()</a></code> function</li>
</ul>