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<a class="navbar-brand me-2" href="https://msberends.github.io/AMR/index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
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<a class="navbar-brand me-2" href="index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
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@@ -38,7 +38,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -400,71 +400,71 @@ data set:</p>
</tr></thead>
<tbody>
<tr class="odd">
<td align="center">2012-06-16</td>
<td align="center">S5</td>
<td align="center">2012-03-05</td>
<td align="center">N7</td>
<td align="center">Hospital D</td>
<td align="center">Staphylococcus aureus</td>
<td align="center">Escherichia coli</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">F</td>
</tr>
<tr class="even">
<td align="center">2012-08-31</td>
<td align="center">Q2</td>
<td align="center">Hospital B</td>
<td align="center">Staphylococcus aureus</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">F</td>
</tr>
<tr class="odd">
<td align="center">2012-08-17</td>
<td align="center">S9</td>
<td align="center">2015-11-26</td>
<td align="center">A7</td>
<td align="center">Hospital B</td>
<td align="center">Escherichia coli</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">M</td>
</tr>
<tr class="odd">
<td align="center">2014-06-30</td>
<td align="center">X1</td>
<td align="center">Hospital B</td>
<td align="center">Escherichia coli</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">F</td>
</tr>
<tr class="even">
<td align="center">2011-04-20</td>
<td align="center">M7</td>
<td align="center">2011-06-27</td>
<td align="center">O7</td>
<td align="center">Hospital B</td>
<td align="center">Escherichia coli</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">F</td>
</tr>
<tr class="odd">
<td align="center">2016-09-14</td>
<td align="center">I4</td>
<td align="center">Hospital D</td>
<td align="center">Escherichia coli</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">M</td>
</tr>
<tr class="even">
<td align="center">2013-08-07</td>
<td align="center">R7</td>
<td align="center">Hospital A</td>
<td align="center">Klebsiella pneumoniae</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">M</td>
</tr>
<tr class="odd">
<td align="center">2016-10-02</td>
<td align="center">Z1</td>
<td align="center">Hospital A</td>
<td align="center">Escherichia coli</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">F</td>
</tr>
<tr class="even">
<td align="center">2017-10-05</td>
<td align="center">L10</td>
<td align="center">Hospital B</td>
<td align="center">Escherichia coli</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">M</td>
</tr>
</tbody>
</table>
<p>Now, let’s start the cleaning and the analysis!</p>
@@ -499,18 +499,18 @@ Longest: 1</p>
<tr class="odd">
<td align="left">1</td>
<td align="left">M</td>
<td align="right">10,540</td>
<td align="right">52.7%</td>
<td align="right">10,540</td>
<td align="right">52.7%</td>
<td align="right">10,429</td>
<td align="right">52.15%</td>
<td align="right">10,429</td>
<td align="right">52.15%</td>
</tr>
<tr class="even">
<td align="left">2</td>
<td align="left">F</td>
<td align="right">9,460</td>
<td align="right">47.3%</td>
<td align="right">9,571</td>
<td align="right">47.86%</td>
<td align="right">20,000</td>
<td align="right">100.0%</td>
<td align="right">100.00%</td>
</tr>
</tbody>
</table>
@@ -621,9 +621,9 @@ takes into account the antimicrobial susceptibility test results using
<span><span class="co"># Basing inclusion on all antimicrobial results, using a points threshold of</span></span>
<span><span class="co"># 2</span></span>
<span><span class="co"># Including isolates from ICU.</span></span>
<span><span class="co"># =&gt; Found 10,641 'phenotype-based' first isolates (53.2% of total where a</span></span>
<span><span class="co"># =&gt; Found 10,584 'phenotype-based' first isolates (52.9% of total where a</span></span>
<span><span class="co"># microbial ID was available)</span></span></code></pre></div>
<p>So only 53.2% is suitable for resistance analysis! We can now filter
<p>So only 52.9% is suitable for resistance analysis! We can now filter
on it with the <code><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter()</a></code> function, also from the
<code>dplyr</code> package:</p>
<div class="sourceCode" id="cb15"><pre class="downlit sourceCode r">
@@ -634,11 +634,11 @@ on it with the <code><a href="https://dplyr.tidyverse.org/reference/filter.html"
<code class="sourceCode R"><span><span class="va">data_1st</span> <span class="op">&lt;-</span> <span class="va">data</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span>
<span> <span class="fu"><a href="../reference/first_isolate.html">filter_first_isolate</a></span><span class="op">(</span><span class="op">)</span></span>
<span><span class="co"># Including isolates from ICU.</span></span></code></pre></div>
<p>So we end up with 10,641 isolates for analysis. Now our data looks
<p>So we end up with 10,584 isolates for analysis. Now our data looks
like:</p>
<div class="sourceCode" id="cb17"><pre class="downlit sourceCode r">
<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/utils/head.html" class="external-link">head</a></span><span class="op">(</span><span class="va">data_1st</span><span class="op">)</span></span></code></pre></div>
<table class="table">
<table style="width:100%;" class="table">
<colgroup>
<col width="2%">
<col width="9%">
@@ -652,7 +652,7 @@ like:</p>
<col width="6%">
<col width="11%">
<col width="12%">
<col width="7%">
<col width="9%">
<col width="5%">
</colgroup>
<thead><tr class="header">
@@ -674,73 +674,89 @@ like:</p>
<tbody>
<tr class="odd">
<td align="left">1</td>
<td align="center">2012-06-16</td>
<td align="center">S5</td>
<td align="center">2012-03-05</td>
<td align="center">N7</td>
<td align="center">Hospital D</td>
<td align="center">B_STPHY_AURS</td>
<td align="center">B_ESCHR_COLI</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">F</td>
<td align="center">Gram-positive</td>
<td align="center">Staphylococcus</td>
<td align="center">aureus</td>
<td align="center">Gram-negative</td>
<td align="center">Escherichia</td>
<td align="center">coli</td>
<td align="center">TRUE</td>
</tr>
<tr class="even">
<td align="left">2</td>
<td align="center">2012-08-31</td>
<td align="center">Q2</td>
<td align="left">4</td>
<td align="center">2011-06-27</td>
<td align="center">O7</td>
<td align="center">Hospital B</td>
<td align="center">B_STPHY_AURS</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">B_ESCHR_COLI</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">F</td>
<td align="center">Gram-positive</td>
<td align="center">Staphylococcus</td>
<td align="center">aureus</td>
<td align="center">Gram-negative</td>
<td align="center">Escherichia</td>
<td align="center">coli</td>
<td align="center">TRUE</td>
</tr>
<tr class="odd">
<td align="left">5</td>
<td align="center">2016-10-02</td>
<td align="center">Z1</td>
<td align="center">Hospital A</td>
<td align="center">2016-09-14</td>
<td align="center">I4</td>
<td align="center">Hospital D</td>
<td align="center">B_ESCHR_COLI</td>
<td align="center">R</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">F</td>
<td align="center">M</td>
<td align="center">Gram-negative</td>
<td align="center">Escherichia</td>
<td align="center">coli</td>
<td align="center">TRUE</td>
</tr>
<tr class="even">
<td align="left">7</td>
<td align="center">2017-06-29</td>
<td align="center">S6</td>
<td align="center">Hospital B</td>
<td align="center">B_ESCHR_COLI</td>
<td align="left">6</td>
<td align="center">2013-08-07</td>
<td align="center">R7</td>
<td align="center">Hospital A</td>
<td align="center">B_KLBSL_PNMN</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">F</td>
<td align="center">Gram-negative</td>
<td align="center">Escherichia</td>
<td align="center">coli</td>
<td align="center">Klebsiella</td>
<td align="center">pneumoniae</td>
<td align="center">TRUE</td>
</tr>
<tr class="odd">
<td align="left">8</td>
<td align="center">2014-10-17</td>
<td align="center">G10</td>
<td align="center">Hospital D</td>
<td align="center">2017-01-17</td>
<td align="center">S7</td>
<td align="center">Hospital C</td>
<td align="center">B_STRPT_PNMN</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">F</td>
<td align="center">Gram-positive</td>
<td align="center">Streptococcus</td>
<td align="center">pneumoniae</td>
<td align="center">TRUE</td>
</tr>
<tr class="even">
<td align="left">10</td>
<td align="center">2012-04-17</td>
<td align="center">C5</td>
<td align="center">Hospital A</td>
<td align="center">B_STPHY_AURS</td>
<td align="center">S</td>
<td align="center">S</td>
@@ -752,22 +768,6 @@ like:</p>
<td align="center">aureus</td>
<td align="center">TRUE</td>
</tr>
<tr class="even">
<td align="left">10</td>
<td align="center">2011-04-23</td>
<td align="center">V8</td>
<td align="center">Hospital B</td>
<td align="center">B_ESCHR_COLI</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">F</td>
<td align="center">Gram-negative</td>
<td align="center">Escherichia</td>
<td align="center">coli</td>
<td align="center">TRUE</td>
</tr>
</tbody>
</table>
<p>Time for the analysis!</p>
@@ -801,8 +801,8 @@ readable:</p>
<code class="sourceCode R"><span><span class="va">data_1st</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span> <span class="fu"><a href="https://msberends.github.io/cleaner/reference/freq.html" class="external-link">freq</a></span><span class="op">(</span><span class="va">genus</span>, <span class="va">species</span><span class="op">)</span></span></code></pre></div>
<p><strong>Frequency table</strong></p>
<p>Class: character<br>
Length: 10,641<br>
Available: 10,641 (100%, NA: 0 = 0%)<br>
Length: 10,584<br>
Available: 10,584 (100%, NA: 0 = 0%)<br>
Unique: 4</p>
<p>Shortest: 16<br>
Longest: 24</p>
@@ -827,33 +827,33 @@ Longest: 24</p>
<tr class="odd">
<td align="left">1</td>
<td align="left">Escherichia coli</td>
<td align="right">4,597</td>
<td align="right">43.20%</td>
<td align="right">4,597</td>
<td align="right">43.20%</td>
<td align="right">4,624</td>
<td align="right">43.69%</td>
<td align="right">4,624</td>
<td align="right">43.69%</td>
</tr>
<tr class="even">
<td align="left">2</td>
<td align="left">Staphylococcus aureus</td>
<td align="right">2,714</td>
<td align="right">25.51%</td>
<td align="right">7,311</td>
<td align="right">68.71%</td>
<td align="right">2,728</td>
<td align="right">25.77%</td>
<td align="right">7,352</td>
<td align="right">69.46%</td>
</tr>
<tr class="odd">
<td align="left">3</td>
<td align="left">Streptococcus pneumoniae</td>
<td align="right">2,148</td>
<td align="right">20.19%</td>
<td align="right">9,459</td>
<td align="right">88.89%</td>
<td align="right">2,086</td>
<td align="right">19.71%</td>
<td align="right">9,438</td>
<td align="right">89.17%</td>
</tr>
<tr class="even">
<td align="left">4</td>
<td align="left">Klebsiella pneumoniae</td>
<td align="right">1,182</td>
<td align="right">11.11%</td>
<td align="right">10,641</td>
<td align="right">1,146</td>
<td align="right">10.83%</td>
<td align="right">10,584</td>
<td align="right">100.00%</td>
</tr>
</tbody>
@@ -902,87 +902,87 @@ antibiotic class they are in:</p>
</tr></thead>
<tbody>
<tr class="odd">
<td align="center">2011-04-23</td>
<td align="center">V8</td>
<td align="center">Hospital B</td>
<td align="center">B_ESCHR_COLI</td>
<td align="center">2017-01-17</td>
<td align="center">S7</td>
<td align="center">Hospital C</td>
<td align="center">B_STRPT_PNMN</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">F</td>
<td align="center">Gram-positive</td>
<td align="center">Streptococcus</td>
<td align="center">pneumoniae</td>
<td align="center">TRUE</td>
</tr>
<tr class="even">
<td align="center">2017-01-20</td>
<td align="center">Y7</td>
<td align="center">Hospital B</td>
<td align="center">B_STPHY_AURS</td>
<td align="center">R</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">F</td>
<td align="center">Gram-positive</td>
<td align="center">Staphylococcus</td>
<td align="center">aureus</td>
<td align="center">TRUE</td>
</tr>
<tr class="odd">
<td align="center">2017-10-21</td>
<td align="center">V1</td>
<td align="center">Hospital A</td>
<td align="center">B_STRPT_PNMN</td>
<td align="center">R</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">F</td>
<td align="center">Gram-positive</td>
<td align="center">Streptococcus</td>
<td align="center">pneumoniae</td>
<td align="center">TRUE</td>
</tr>
<tr class="even">
<td align="center">2010-12-07</td>
<td align="center">Z2</td>
<td align="center">Hospital B</td>
<td align="center">B_STRPT_PNMN</td>
<td align="center">R</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">F</td>
<td align="center">Gram-positive</td>
<td align="center">Streptococcus</td>
<td align="center">pneumoniae</td>
<td align="center">TRUE</td>
</tr>
<tr class="odd">
<td align="center">2011-01-12</td>
<td align="center">D9</td>
<td align="center">Hospital C</td>
<td align="center">B_ESCHR_COLI</td>
<td align="center">R</td>
<td align="center">R</td>
<td align="center">R</td>
<td align="center">R</td>
<td align="center">M</td>
<td align="center">Gram-negative</td>
<td align="center">Escherichia</td>
<td align="center">coli</td>
<td align="center">TRUE</td>
</tr>
<tr class="even">
<td align="center">2010-11-09</td>
<td align="center">A10</td>
<td align="center">Hospital C</td>
<td align="center">B_STRPT_PNMN</td>
<td align="center">R</td>
<td align="center">R</td>
<td align="center">R</td>
<td align="center">R</td>
<td align="center">M</td>
<td align="center">Gram-positive</td>
<td align="center">Streptococcus</td>
<td align="center">pneumoniae</td>
<td align="center">TRUE</td>
</tr>
<tr class="odd">
<td align="center">2017-01-15</td>
<td align="center">C6</td>
<td align="center">Hospital B</td>
<td align="center">B_STPHY_AURS</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">M</td>
<td align="center">Gram-positive</td>
<td align="center">Staphylococcus</td>
<td align="center">aureus</td>
<td align="center">TRUE</td>
</tr>
<tr class="even">
<td align="center">2014-07-20</td>
<td align="center">X1</td>
<td align="center">Hospital B</td>
<td align="center">B_STRPT_PNMN</td>
<td align="center">R</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">F</td>
<td align="center">Gram-positive</td>
<td align="center">Streptococcus</td>
<td align="center">pneumoniae</td>
<td align="center">TRUE</td>
</tr>
<tr class="odd">
<td align="center">2010-05-23</td>
<td align="center">2012-11-16</td>
<td align="center">T8</td>
<td align="center">Hospital C</td>
<td align="center">B_STPHY_AURS</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">F</td>
<td align="center">Gram-positive</td>
<td align="center">Staphylococcus</td>
<td align="center">aureus</td>
<td align="center">TRUE</td>
</tr>
<tr class="even">
<td align="center">2014-12-22</td>
<td align="center">T5</td>
<td align="center">Hospital D</td>
<td align="center">B_STRPT_PNMN</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">F</td>
@@ -1013,50 +1013,50 @@ different bug/drug combinations, you can use the
<tr class="odd">
<td align="center">E. coli</td>
<td align="center">AMX</td>
<td align="center">2172</td>
<td align="center">140</td>
<td align="center">2285</td>
<td align="center">4597</td>
<td align="center">2203</td>
<td align="center">122</td>
<td align="center">2299</td>
<td align="center">4624</td>
</tr>
<tr class="even">
<td align="center">E. coli</td>
<td align="center">AMC</td>
<td align="center">3386</td>
<td align="center">145</td>
<td align="center">1066</td>
<td align="center">4597</td>
<td align="center">3430</td>
<td align="center">149</td>
<td align="center">1045</td>
<td align="center">4624</td>
</tr>
<tr class="odd">
<td align="center">E. coli</td>
<td align="center">CIP</td>
<td align="center">3365</td>
<td align="center">3361</td>
<td align="center">0</td>
<td align="center">1232</td>
<td align="center">4597</td>
<td align="center">1263</td>
<td align="center">4624</td>
</tr>
<tr class="even">
<td align="center">E. coli</td>
<td align="center">GEN</td>
<td align="center">4016</td>
<td align="center">4052</td>
<td align="center">0</td>
<td align="center">581</td>
<td align="center">4597</td>
<td align="center">572</td>
<td align="center">4624</td>
</tr>
<tr class="odd">
<td align="center">K. pneumoniae</td>
<td align="center">AMX</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1182</td>
<td align="center">1182</td>
<td align="center">1146</td>
<td align="center">1146</td>
</tr>
<tr class="even">
<td align="center">K. pneumoniae</td>
<td align="center">AMC</td>
<td align="center">952</td>
<td align="center">45</td>
<td align="center">185</td>
<td align="center">1182</td>
<td align="center">901</td>
<td align="center">30</td>
<td align="center">215</td>
<td align="center">1146</td>
</tr>
</tbody>
</table>
@@ -1078,34 +1078,34 @@ different bug/drug combinations, you can use the
<tr class="odd">
<td align="center">E. coli</td>
<td align="center">GEN</td>
<td align="center">4016</td>
<td align="center">4052</td>
<td align="center">0</td>
<td align="center">581</td>
<td align="center">4597</td>
<td align="center">572</td>
<td align="center">4624</td>
</tr>
<tr class="even">
<td align="center">K. pneumoniae</td>
<td align="center">GEN</td>
<td align="center">1072</td>
<td align="center">1033</td>
<td align="center">0</td>
<td align="center">110</td>
<td align="center">1182</td>
<td align="center">113</td>
<td align="center">1146</td>
</tr>
<tr class="odd">
<td align="center">S. aureus</td>
<td align="center">GEN</td>
<td align="center">2418</td>
<td align="center">2440</td>
<td align="center">0</td>
<td align="center">296</td>
<td align="center">2714</td>
<td align="center">288</td>
<td align="center">2728</td>
</tr>
<tr class="even">
<td align="center">S. pneumoniae</td>
<td align="center">GEN</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">2148</td>
<td align="center">2148</td>
<td align="center">2086</td>
<td align="center">2086</td>
</tr>
</tbody>
</table>
@@ -1137,7 +1137,7 @@ I (<code><a href="../reference/proportion.html">proportion_SI()</a></code>, equa
own:</p>
<div class="sourceCode" id="cb25"><pre class="downlit sourceCode r">
<code class="sourceCode R"><span><span class="va">data_1st</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span> <span class="fu"><a href="../reference/proportion.html">resistance</a></span><span class="op">(</span><span class="va">AMX</span><span class="op">)</span></span>
<span><span class="co"># [1] 0.5409266</span></span></code></pre></div>
<span><span class="co"># [1] 0.5409108</span></span></code></pre></div>
<p>Or can be used in conjunction with <code><a href="https://dplyr.tidyverse.org/reference/group_by.html" class="external-link">group_by()</a></code> and
<code><a href="https://dplyr.tidyverse.org/reference/summarise.html" class="external-link">summarise()</a></code>, both from the <code>dplyr</code> package:</p>
<div class="sourceCode" id="cb26"><pre class="downlit sourceCode r">
@@ -1152,19 +1152,19 @@ own:</p>
<tbody>
<tr class="odd">
<td align="center">Hospital A</td>
<td align="center">0.5447103</td>
<td align="center">0.5492958</td>
</tr>
<tr class="even">
<td align="center">Hospital B</td>
<td align="center">0.5458963</td>
<td align="center">0.5316054</td>
</tr>
<tr class="odd">
<td align="center">Hospital C</td>
<td align="center">0.5324921</td>
<td align="center">0.5598456</td>
</tr>
<tr class="even">
<td align="center">Hospital D</td>
<td align="center">0.5330882</td>
<td align="center">0.5306719</td>
</tr>
</tbody>
</table>
@@ -1189,23 +1189,23 @@ all isolates available for every group (i.e. values S, I or R):</p>
<tbody>
<tr class="odd">
<td align="center">Hospital A</td>
<td align="center">0.5447103</td>
<td align="center">3176</td>
<td align="center">0.5492958</td>
<td align="center">3195</td>
</tr>
<tr class="even">
<td align="center">Hospital B</td>
<td align="center">0.5458963</td>
<td align="center">3704</td>
<td align="center">0.5316054</td>
<td align="center">3781</td>
</tr>
<tr class="odd">
<td align="center">Hospital C</td>
<td align="center">0.5324921</td>
<td align="center">1585</td>
<td align="center">0.5598456</td>
<td align="center">1554</td>
</tr>
<tr class="even">
<td align="center">Hospital D</td>
<td align="center">0.5330882</td>
<td align="center">2176</td>
<td align="center">0.5306719</td>
<td align="center">2054</td>
</tr>
</tbody>
</table>
@@ -1230,27 +1230,27 @@ therapies very easily:</p>
<tbody>
<tr class="odd">
<td align="center">Escherichia</td>
<td align="center">0.7681096</td>
<td align="center">0.8736132</td>
<td align="center">0.9769415</td>
<td align="center">0.7740052</td>
<td align="center">0.8762976</td>
<td align="center">0.9744810</td>
</tr>
<tr class="even">
<td align="center">Klebsiella</td>
<td align="center">0.8434856</td>
<td align="center">0.9069374</td>
<td align="center">0.9780034</td>
<td align="center">0.8123909</td>
<td align="center">0.9013962</td>
<td align="center">0.9816754</td>
</tr>
<tr class="odd">
<td align="center">Staphylococcus</td>
<td align="center">0.8043478</td>
<td align="center">0.8909359</td>
<td align="center">0.9837878</td>
<td align="center">0.7840909</td>
<td align="center">0.8944282</td>
<td align="center">0.9783724</td>
</tr>
<tr class="even">
<td align="center">Streptococcus</td>
<td align="center">0.5474860</td>
<td align="center">0.5421860</td>
<td align="center">0.0000000</td>
<td align="center">0.5474860</td>
<td align="center">0.5421860</td>
</tr>
</tbody>
</table>
@@ -1278,23 +1278,23 @@ classes, use a antibiotic class selector such as
<tbody>
<tr class="odd">
<td align="left">Hospital A</td>
<td align="right">54.5%</td>
<td align="right">25.0%</td>
<td align="right">54.9%</td>
<td align="right">27.1%</td>
</tr>
<tr class="even">
<td align="left">Hospital B</td>
<td align="right">54.6%</td>
<td align="right">26.7%</td>
<td align="right">53.2%</td>
<td align="right">26.0%</td>
</tr>
<tr class="odd">
<td align="left">Hospital C</td>
<td align="right">53.2%</td>
<td align="right">26.2%</td>
<td align="right">56.0%</td>
<td align="right">27.3%</td>
</tr>
<tr class="even">
<td align="left">Hospital D</td>
<td align="right">53.3%</td>
<td align="right">25.5%</td>
<td align="right">53.1%</td>
<td align="right">25.7%</td>
</tr>
</tbody>
</table>
@@ -1410,18 +1410,16 @@ classes) <code>&lt;mic&gt;</code> and <code>&lt;disk&gt;</code>:</p>
<code class="sourceCode R"><span><span class="va">mic_values</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/random.html">random_mic</a></span><span class="op">(</span>size <span class="op">=</span> <span class="fl">100</span><span class="op">)</span></span>
<span><span class="va">mic_values</span></span>
<span><span class="co"># Class 'mic'</span></span>
<span><span class="co"># [1] &gt;=256 &lt;=0.001 16 0.25 4 0.025 128 16 &gt;=256 </span></span>
<span><span class="co"># [10] 0.005 0.25 1 1 64 8 0.002 0.5 64 </span></span>
<span><span class="co"># [19] &gt;=256 0.25 0.5 0.005 0.025 0.25 8 2 0.01 </span></span>
<span><span class="co"># [28] 0.002 0.025 0.5 64 4 2 64 2 1 </span></span>
<span><span class="co"># [37] &lt;=0.001 128 0.25 0.0625 64 8 1 64 64 </span></span>
<span><span class="co"># [46] 0.5 &gt;=256 0.01 2 16 4 0.002 0.005 32 </span></span>
<span><span class="co"># [55] 16 32 0.0625 4 8 0.125 8 0.01 64 </span></span>
<span><span class="co"># [64] 8 0.005 0.025 0.5 2 16 0.25 1 &lt;=0.001</span></span>
<span><span class="co"># [73] 0.005 0.0625 0.01 0.0625 0.25 32 0.5 0.005 0.5 </span></span>
<span><span class="co"># [82] 0.005 4 0.002 4 &lt;=0.001 8 &lt;=0.001 0.01 0.125 </span></span>
<span><span class="co"># [91] 0.005 0.25 16 0.01 0.01 &gt;=256 0.01 0.025 0.5 </span></span>
<span><span class="co"># [100] &lt;=0.001</span></span></code></pre></div>
<span><span class="co"># [1] 64 0.001 4 64 0.01 0.01 0.0625 0.5 0.001 0.005 </span></span>
<span><span class="co"># [11] 0.5 1 64 8 0.01 1 0.001 0.002 0.5 256 </span></span>
<span><span class="co"># [21] 0.5 0.025 0.025 128 0.001 4 256 0.005 64 0.125 </span></span>
<span><span class="co"># [31] 128 0.005 0.005 8 0.025 2 0.001 256 0.002 256 </span></span>
<span><span class="co"># [41] 0.025 0.125 128 128 0.0625 0.25 0.0625 0.025 128 0.5 </span></span>
<span><span class="co"># [51] 2 0.005 0.0625 0.0625 0.002 1 1 1 256 64 </span></span>
<span><span class="co"># [61] 8 0.001 1 32 0.001 0.125 0.25 32 0.005 32 </span></span>
<span><span class="co"># [71] 0.002 128 0.25 16 0.01 0.01 0.0625 64 0.01 16 </span></span>
<span><span class="co"># [81] 128 0.005 0.002 4 0.25 0.125 0.001 0.5 0.005 0.125 </span></span>
<span><span class="co"># [91] 0.001 0.001 0.01 0.001 0.5 0.125 0.005 256 128 8</span></span></code></pre></div>
<div class="sourceCode" id="cb36"><pre class="downlit sourceCode r">
<code class="sourceCode R"><span><span class="co"># base R:</span></span>
<span><span class="fu"><a href="../reference/plot.html">plot</a></span><span class="op">(</span><span class="va">mic_values</span><span class="op">)</span></span></code></pre></div>
@@ -1455,10 +1453,10 @@ plotting:</p>
<code class="sourceCode R"><span><span class="va">disk_values</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/random.html">random_disk</a></span><span class="op">(</span>size <span class="op">=</span> <span class="fl">100</span>, mo <span class="op">=</span> <span class="st">"E. coli"</span>, ab <span class="op">=</span> <span class="st">"cipro"</span><span class="op">)</span></span>
<span><span class="va">disk_values</span></span>
<span><span class="co"># Class 'disk'</span></span>
<span><span class="co"># [1] 30 28 18 29 30 23 29 25 25 24 19 22 18 23 27 21 27 21 25 30 23 31 25 27 26</span></span>
<span><span class="co"># [26] 26 29 23 22 24 18 29 27 24 17 25 23 22 20 28 27 21 31 21 25 25 27 23 23 18</span></span>
<span><span class="co"># [51] 31 31 31 31 24 27 26 31 26 27 27 26 20 26 26 28 24 26 19 25 21 27 19 31 21</span></span>
<span><span class="co"># [76] 18 26 30 23 28 28 27 31 21 17 28 28 22 21 26 23 26 28 27 31 29 30 28 23 28</span></span></code></pre></div>
<span><span class="co"># [1] 20 17 20 22 27 22 22 26 23 30 22 28 20 31 29 21 21 26 23 18 23 23 26 18 17</span></span>
<span><span class="co"># [26] 22 24 27 25 25 31 24 22 29 22 19 24 31 17 27 26 23 21 28 26 22 26 19 25 22</span></span>
<span><span class="co"># [51] 25 29 17 30 30 21 29 23 24 29 29 31 17 19 21 21 23 21 31 18 25 23 31 27 31</span></span>
<span><span class="co"># [76] 19 28 20 29 26 30 29 18 29 31 21 25 27 27 23 22 28 21 24 19 31 20 19 20 26</span></span></code></pre></div>
<div class="sourceCode" id="cb42"><pre class="downlit sourceCode r">
<code class="sourceCode R"><span><span class="co"># base R:</span></span>
<span><span class="fu"><a href="../reference/plot.html">plot</a></span><span class="op">(</span><span class="va">disk_values</span>, mo <span class="op">=</span> <span class="st">"E. coli"</span>, ab <span class="op">=</span> <span class="st">"cipro"</span><span class="op">)</span></span></code></pre></div>
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+1 -1
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@@ -38,7 +38,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
articles/MDR.html
+28 -28
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@@ -38,7 +38,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -375,19 +375,19 @@ names or codes, this would have worked exactly the same way:</p>
<div class="sourceCode" id="cb8"><pre class="downlit sourceCode r">
<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/utils/head.html" class="external-link">head</a></span><span class="op">(</span><span class="va">my_TB_data</span><span class="op">)</span></span>
<span><span class="co"># rifampicin isoniazid gatifloxacin ethambutol pyrazinamide moxifloxacin</span></span>
<span><span class="co"># 1 R R S R I I</span></span>
<span><span class="co"># 2 R S S S I S</span></span>
<span><span class="co"># 3 R S R I S S</span></span>
<span><span class="co"># 4 R S S I I R</span></span>
<span><span class="co"># 5 S R R I I I</span></span>
<span><span class="co"># 6 S I I R R S</span></span>
<span><span class="co"># 1 R R R I I R</span></span>
<span><span class="co"># 2 I R R S I S</span></span>
<span><span class="co"># 3 S I I R I S</span></span>
<span><span class="co"># 4 I S R I I R</span></span>
<span><span class="co"># 5 I R R R R S</span></span>
<span><span class="co"># 6 R S R R S I</span></span>
<span><span class="co"># kanamycin</span></span>
<span><span class="co"># 1 S</span></span>
<span><span class="co"># 2 R</span></span>
<span><span class="co"># 3 R</span></span>
<span><span class="co"># 2 S</span></span>
<span><span class="co"># 3 S</span></span>
<span><span class="co"># 4 R</span></span>
<span><span class="co"># 5 I</span></span>
<span><span class="co"># 6 R</span></span></code></pre></div>
<span><span class="co"># 6 S</span></span></code></pre></div>
<p>We can now add the interpretation of MDR-TB to our data set. You can
use:</p>
<div class="sourceCode" id="cb9"><pre class="downlit sourceCode r">
@@ -428,40 +428,40 @@ Unique: 5</p>
<tr class="odd">
<td align="left">1</td>
<td align="left">Mono-resistant</td>
<td align="right">3254</td>
<td align="right">65.08%</td>
<td align="right">3254</td>
<td align="right">65.08%</td>
<td align="right">3228</td>
<td align="right">64.56%</td>
<td align="right">3228</td>
<td align="right">64.56%</td>
</tr>
<tr class="even">
<td align="left">2</td>
<td align="left">Negative</td>
<td align="right">960</td>
<td align="right">19.20%</td>
<td align="right">4214</td>
<td align="right">84.28%</td>
<td align="right">1000</td>
<td align="right">20.00%</td>
<td align="right">4228</td>
<td align="right">84.56%</td>
</tr>
<tr class="odd">
<td align="left">3</td>
<td align="left">Multi-drug-resistant</td>
<td align="right">443</td>
<td align="right">8.86%</td>
<td align="right">4657</td>
<td align="right">93.14%</td>
<td align="right">458</td>
<td align="right">9.16%</td>
<td align="right">4686</td>
<td align="right">93.72%</td>
</tr>
<tr class="even">
<td align="left">4</td>
<td align="left">Poly-resistant</td>
<td align="right">240</td>
<td align="right">4.80%</td>
<td align="right">4897</td>
<td align="right">97.94%</td>
<td align="right">216</td>
<td align="right">4.32%</td>
<td align="right">4902</td>
<td align="right">98.04%</td>
</tr>
<tr class="odd">
<td align="left">5</td>
<td align="left">Extensively drug-resistant</td>
<td align="right">103</td>
<td align="right">2.06%</td>
<td align="right">98</td>
<td align="right">1.96%</td>
<td align="right">5000</td>
<td align="right">100.00%</td>
</tr>
articles/PCA.html
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@@ -38,7 +38,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
articles/SPSS.html
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@@ -38,7 +38,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
articles/WHONET.html
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@@ -38,7 +38,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
articles/datasets.html
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@@ -38,7 +38,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -196,7 +196,7 @@ column names:<br><em>mo</em>, <em>fullname</em>, <em>status</em>, <em>kingdom</e
<em>gbif_renamed_to</em>, <em>prevalence</em> and <em>snomed</em>.</p>
<p>This data set is in R available as <code>microorganisms</code>, after
you load the <code>AMR</code> package.</p>
<p>It was last updated on 29 October 2022 12:15:23 UTC. Find more info
<p>It was last updated on 9 December 2022 12:37:08 UTC. Find more info
about the structure of this data set <a href="https://msberends.github.io/AMR/reference/microorganisms.html">here</a>.</p>
<p><strong>Direct download links:</strong></p>
<ul>
articles/index.html
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
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articles/resistance_predict.html
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@@ -38,7 +38,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
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articles/welcome_to_AMR.html
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@@ -38,7 +38,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
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<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
authors.html
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
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index.html
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@@ -42,7 +42,7 @@
<a class="navbar-brand me-2" href="index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
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news/index.html
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -132,10 +132,10 @@
</div>
<div class="section level2">
<h2 class="pkg-version" data-toc-text="1.8.2.9057" id="amr-1829057">AMR 1.8.2.9057<a class="anchor" aria-label="anchor" href="#amr-1829057"></a></h2>
<h2 class="pkg-version" data-toc-text="1.8.2.9058" id="amr-1829058">AMR 1.8.2.9058<a class="anchor" aria-label="anchor" href="#amr-1829058"></a></h2>
<p>This version will eventually become v2.0! We’re happy to reach a new major milestone soon!</p>
<div class="section level4">
<h4 id="breaking-1-8-2-9057">Breaking<a class="anchor" aria-label="anchor" href="#breaking-1-8-2-9057"></a></h4>
<h4 id="breaking-1-8-2-9058">Breaking<a class="anchor" aria-label="anchor" href="#breaking-1-8-2-9058"></a></h4>
<ul><li>Removed all species of the taxonomic kingdom Chromista from the package. This was done for multiple reasons:
<ul><li>CRAN allows packages to be around 5 MB maximum, some packages are exempted but this package is not one of them</li>
<li>Chromista are not relevant when it comes to antimicrobial resistance, thus lacking the primary scope of this package</li>
@@ -151,7 +151,7 @@
<li>Using <code>units</code> in <code>ab_ddd(..., units = "...")</code> had been deprecated and is now not supported anymore. Use <code><a href="../reference/ab_property.html">ab_ddd_units()</a></code> instead.</li>
</ul></div>
<div class="section level4">
<h4 id="new-1-8-2-9057">New<a class="anchor" aria-label="anchor" href="#new-1-8-2-9057"></a></h4>
<h4 id="new-1-8-2-9058">New<a class="anchor" aria-label="anchor" href="#new-1-8-2-9058"></a></h4>
<ul><li>
<strong>EUCAST 2022 and CLSI 2022 guidelines</strong> have been added for <code><a href="../reference/as.rsi.html">as.rsi()</a></code>. EUCAST 2022 (v12.0) is now the new default guideline for all MIC and disks diffusion interpretations, and for <code><a href="../reference/eucast_rules.html">eucast_rules()</a></code> to apply EUCAST Expert Rules.</li>
<li>Support for the following languages: Chinese, Greek, Japanese, Polish, Turkish and Ukrainian. We are very grateful for the valuable input by our colleagues from other countries. The <code>AMR</code> package is now available in 16 languages. The automatic language determination will give a note at start-up on systems in supported languages.</li>
@@ -193,7 +193,7 @@
</li>
</ul></div>
<div class="section level4">
<h4 id="changes-1-8-2-9057">Changes<a class="anchor" aria-label="anchor" href="#changes-1-8-2-9057"></a></h4>
<h4 id="changes-1-8-2-9058">Changes<a class="anchor" aria-label="anchor" href="#changes-1-8-2-9058"></a></h4>
<ul><li>For <code><a href="../reference/as.rsi.html">as.rsi()</a></code>:
<ul><li>Fixed certain EUCAST breakpoints for MIC values</li>
<li>Allow <code>NA</code> values (e.g. <code>as.rsi(as.disk(NA), ...)</code>)</li>
@@ -232,7 +232,7 @@
<li>Cleaning columns with <code><a href="../reference/as.rsi.html">as.rsi()</a></code>, <code><a href="../reference/as.mic.html">as.mic()</a></code>, or <code><a href="../reference/as.disk.html">as.disk()</a></code> will now show the column name in the warning for invalid results</li>
</ul></div>
<div class="section level4">
<h4 id="other-1-8-2-9057">Other<a class="anchor" aria-label="anchor" href="#other-1-8-2-9057"></a></h4>
<h4 id="other-1-8-2-9058">Other<a class="anchor" aria-label="anchor" href="#other-1-8-2-9058"></a></h4>
<ul><li>New website to make use of the new Bootstrap 5 and pkgdown 2.0. The website now contains results for all examples and will be automatically regenerated with every change to our repository, using GitHub Actions</li>
<li>Added Peter Dutey-Magni, Dmytro Mykhailenko, Anton Mymrikov, and Jonas Salm as contributors, to thank them for their valuable input</li>
<li>All R and Rmd files in this project are now styled using the <code>styler</code> package</li>
pkgdown.yml
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@@ -11,7 +11,7 @@ articles:
datasets: datasets.html
resistance_predict: resistance_predict.html
welcome_to_AMR: welcome_to_AMR.html
last_built: 2022-12-09T10:24Z
last_built: 2022-12-09T12:41Z
urls:
reference: https://msberends.github.io/AMR/reference
article: https://msberends.github.io/AMR/articles
reference/AMR-deprecated.html
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
reference/AMR.html
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@@ -62,7 +62,7 @@ Principal component analysis for AMR
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
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reference/WHOCC.html
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
reference/WHONET.html
+1 -1
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
reference/ab_from_text.html
+1 -1
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
reference/ab_property.html
+1 -1
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
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reference/add_custom_antimicrobials.html
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
reference/age.html
+11 -11
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -195,16 +195,16 @@
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="va">df</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> birth_date age age_exact age_at_y2k</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 1982-05-17 40 40.56438 17</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 1992-09-06 30 30.25753 7</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 1996-06-28 26 26.44932 3</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 1999-03-07 23 23.75890 0</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 1965-11-27 57 57.03288 34</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 1939-11-24 83 83.04110 60</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 1955-12-24 66 66.95890 44</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 1948-04-02 74 74.68767 51</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 1950-10-19 72 72.13973 49</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 1978-01-02 44 44.93425 21</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 1996-03-04 26 26.76712 3</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 1942-04-19 80 80.64110 57</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 1931-08-02 91 91.35342 68</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 1976-12-11 45 45.99452 23</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 1978-12-19 43 43.97260 21</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 1958-05-13 64 64.57534 41</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 1951-12-07 71 71.00548 48</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 1962-12-05 60 60.01096 37</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 1951-09-05 71 71.26027 48</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 1967-10-18 55 55.14247 32</span>
</code></pre></div>
</div>
</main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
reference/age_groups.html
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@@ -10,7 +10,7 @@
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
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reference/antibiotic_class_selectors.html
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@@ -10,7 +10,7 @@
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reference/antibiotics.html
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
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reference/as.ab.html
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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@@ -10,7 +10,7 @@
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@@ -10,7 +10,7 @@
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reference/as.mic.html
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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reference/as.mo.html
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
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@@ -292,7 +292,7 @@
<p><strong>Group 2</strong> consists of all microorganisms where the taxonomic phylum is Proteobacteria, Firmicutes, Actinobacteria or Sarcomastigophora, or where the taxonomic genus is <em>Absidia</em>, <em>Acanthamoeba</em>, <em>Acholeplasma</em>, <em>Acremonium</em>, <em>Actinotignum</em>, <em>Aedes</em>, <em>Alistipes</em>, <em>Alloprevotella</em>, <em>Alternaria</em>, <em>Amoeba</em>, <em>Anaerosalibacter</em>, <em>Ancylostoma</em>, <em>Angiostrongylus</em>, <em>Anisakis</em>, <em>Anopheles</em>, <em>Apophysomyces</em>, <em>Arachnia</em>, <em>Aspergillus</em>, <em>Aureobasidium</em>, <em>Bacteroides</em>, <em>Basidiobolus</em>, <em>Beauveria</em>, <em>Bergeyella</em>, <em>Blastocystis</em>, <em>Blastomyces</em>, <em>Borrelia</em>, <em>Brachyspira</em>, <em>Branhamella</em>, <em>Butyricimonas</em>, <em>Candida</em>, <em>Capillaria</em>, <em>Capnocytophaga</em>, <em>Catabacter</em>, <em>Cetobacterium</em>, <em>Chaetomium</em>, <em>Chlamydia</em>, <em>Chlamydophila</em>, <em>Chryseobacterium</em>, <em>Chrysonilia</em>, <em>Cladophialophora</em>, <em>Cladosporium</em>, <em>Conidiobolus</em>, <em>Contracaecum</em>, <em>Cordylobia</em>, <em>Cryptococcus</em>, <em>Curvularia</em>, <em>Deinococcus</em>, <em>Demodex</em>, <em>Dermatobia</em>, <em>Dientamoeba</em>, <em>Diphyllobothrium</em>, <em>Dirofilaria</em>, <em>Dysgonomonas</em>, <em>Echinostoma</em>, <em>Elizabethkingia</em>, <em>Empedobacter</em>, <em>Entamoeba</em>, <em>Enterobius</em>, <em>Exophiala</em>, <em>Exserohilum</em>, <em>Fasciola</em>, <em>Flavobacterium</em>, <em>Fonsecaea</em>, <em>Fusarium</em>, <em>Fusobacterium</em>, <em>Giardia</em>, <em>Haloarcula</em>, <em>Halobacterium</em>, <em>Halococcus</em>, <em>Hendersonula</em>, <em>Heterophyes</em>, <em>Histomonas</em>, <em>Histoplasma</em>, <em>Hymenolepis</em>, <em>Hypomyces</em>, <em>Hysterothylacium</em>, <em>Leishmania</em>, <em>Lelliottia</em>, <em>Leptosphaeria</em>, <em>Leptotrichia</em>, <em>Lucilia</em>, <em>Lumbricus</em>, <em>Malassezia</em>, <em>Malbranchea</em>, <em>Metagonimus</em>, <em>Meyerozyma</em>, <em>Microsporidium</em>, <em>Microsporum</em>, <em>Mortierella</em>, <em>Mucor</em>, <em>Mycocentrospora</em>, <em>Mycoplasma</em>, <em>Myroides</em>, <em>Necator</em>, <em>Nectria</em>, <em>Ochroconis</em>, <em>Odoribacter</em>, <em>Oesophagostomum</em>, <em>Oidiodendron</em>, <em>Opisthorchis</em>, <em>Ornithobacterium</em>, <em>Parabacteroides</em>, <em>Pediculus</em>, <em>Pedobacter</em>, <em>Phlebotomus</em>, <em>Phocaeicola</em>, <em>Phocanema</em>, <em>Phoma</em>, <em>Pichia</em>, <em>Piedraia</em>, <em>Pithomyces</em>, <em>Pityrosporum</em>, <em>Pneumocystis</em>, <em>Porphyromonas</em>, <em>Prevotella</em>, <em>Pseudallescheria</em>, <em>Pseudoterranova</em>, <em>Pulex</em>, <em>Rhizomucor</em>, <em>Rhizopus</em>, <em>Rhodotorula</em>, <em>Riemerella</em>, <em>Saccharomyces</em>, <em>Sarcoptes</em>, <em>Scolecobasidium</em>, <em>Scopulariopsis</em>, <em>Scytalidium</em>, <em>Sphingobacterium</em>, <em>Spirometra</em>, <em>Spiroplasma</em>, <em>Sporobolomyces</em>, <em>Stachybotrys</em>, <em>Streptobacillus</em>, <em>Strongyloides</em>, <em>Syngamus</em>, <em>Taenia</em>, <em>Tannerella</em>, <em>Tenacibaculum</em>, <em>Terrimonas</em>, <em>Toxocara</em>, <em>Treponema</em>, <em>Trichinella</em>, <em>Trichobilharzia</em>, <em>Trichoderma</em>, <em>Trichomonas</em>, <em>Trichophyton</em>, <em>Trichosporon</em>, <em>Trichostrongylus</em>, <em>Trichuris</em>, <em>Tritirachium</em>, <em>Trombicula</em>, <em>Trypanosoma</em>, <em>Tunga</em>, <em>Ureaplasma</em>, <em>Victivallis</em>, <em>Wautersiella</em>, <em>Weeksella</em> or <em>Wuchereria</em>.</p>
<p><strong>Group 3</strong> consists of all other microorganisms.</p>
<p>All characters in \(x\) and \(n\) are ignored that are other than A-Z, a-z, 0-9, spaces and parentheses.</p>
<p>All matches are sorted descending on their matching score and for all user input values, the top match will be returned. This will lead to the effect that e.g., <code>"E. coli"</code> will return the microbial ID of <em>Escherichia coli</em> (\(m = 0.688\), a highly prevalent microorganism found in humans) and not <em>Entamoeba coli</em> (\(m = 0.119\), a less prevalent microorganism in humans), although the latter would alphabetically come first.</p>
<p>All matches are sorted descending on their matching score and for all user input values, the top match will be returned. This will lead to the effect that e.g., <code>"E. coli"</code> will return the microbial ID of <em>Escherichia coli</em> (\(m = 0.688\), a highly prevalent microorganism found in humans) and not <em>Entamoeba coli</em> (\(m = 0.079\), a less prevalent microorganism in humans), although the latter would alphabetically come first.</p>
</div>
<div class="section level2">
<h2 id="reference-data-publicly-available">Reference Data Publicly Available<a class="anchor" aria-label="anchor" href="#reference-data-publicly-available"></a></h2>
reference/as.rsi.html
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -506,16 +506,16 @@ A microorganism is categorised as <em>Susceptible, Increased exposure</em> when
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 50 × 12</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> datetime index ab_input ab_gu…¹ mo_in…² mo_guideline guide…³</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dttm&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;ab&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;mo&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 2022-12-09 <span style="color: #949494;">10:24:24</span> 1 ampicillin AMP Strep … B_STRPT_PNMN EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 2022-12-09 <span style="color: #949494;">10:24:24</span> 1 AMP AMP Escher… B_[ORD]_ENTRBCTR EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 2022-12-09 <span style="color: #949494;">10:24:25</span> 1 CIP CIP Escher… B_[ORD]_ENTRBCTR EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 2022-12-09 <span style="color: #949494;">10:24:25</span> 1 GEN GEN Escher… B_[ORD]_ENTRBCTR EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 2022-12-09 <span style="color: #949494;">10:24:25</span> 1 TOB TOB Escher… B_[ORD]_ENTRBCTR EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 2022-12-09 <span style="color: #949494;">10:24:26</span> 1 AMX AMX B_STRP… B_STRPT_PNMN EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 2022-12-09 <span style="color: #949494;">10:24:26</span> 1 AMX AMX B_STRP… B_STRPT_PNMN EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 2022-12-09 <span style="color: #949494;">10:24:26</span> 2 AMX AMX B_STRP… B_STRPT_PNMN EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 2022-12-09 <span style="color: #949494;">10:24:26</span> 3 AMX AMX B_STRP… B_STRPT_PNMN EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 2022-12-09 <span style="color: #949494;">10:24:26</span> 4 AMX AMX B_STRP… B_STRPT_PNMN EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 2022-12-09 <span style="color: #949494;">12:41:48</span> 1 ampicillin AMP Strep … B_STRPT_PNMN EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 2022-12-09 <span style="color: #949494;">12:41:49</span> 1 AMP AMP Escher… B_[ORD]_ENTRBCTR EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 2022-12-09 <span style="color: #949494;">12:41:49</span> 1 CIP CIP Escher… B_[ORD]_ENTRBCTR EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 2022-12-09 <span style="color: #949494;">12:41:50</span> 1 GEN GEN Escher… B_[ORD]_ENTRBCTR EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 2022-12-09 <span style="color: #949494;">12:41:50</span> 1 TOB TOB Escher… B_[ORD]_ENTRBCTR EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 2022-12-09 <span style="color: #949494;">12:41:50</span> 1 AMX AMX B_STRP… B_STRPT_PNMN EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 2022-12-09 <span style="color: #949494;">12:41:51</span> 1 AMX AMX B_STRP… B_STRPT_PNMN EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 2022-12-09 <span style="color: #949494;">12:41:51</span> 2 AMX AMX B_STRP… B_STRPT_PNMN EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 2022-12-09 <span style="color: #949494;">12:41:51</span> 3 AMX AMX B_STRP… B_STRPT_PNMN EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 2022-12-09 <span style="color: #949494;">12:41:51</span> 4 AMX AMX B_STRP… B_STRPT_PNMN EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># … with 40 more rows, 5 more variables: ref_table &lt;chr&gt;, method &lt;chr&gt;,</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># input &lt;dbl&gt;, outcome &lt;rsi&gt;, breakpoint_S_R &lt;chr&gt;, and abbreviated variable</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># names ¹​ab_guideline, ²​mo_input, ³​guideline</span></span>
reference/atc_online.html
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
reference/av_from_text.html
+1 -1
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
reference/av_property.html
+1 -1
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
reference/availability.html
+1 -1
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
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reference/bug_drug_combinations.html
+1 -1
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
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reference/count.html
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@@ -12,7 +12,7 @@ count_resistant() should be used to count resistant isolates, count_susceptible(
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
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reference/custom_eucast_rules.html
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
reference/dosage.html
+1 -1
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
reference/eucast_rules.html
+1 -1
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@@ -12,7 +12,7 @@ To improve the interpretation of the antibiogram before EUCAST rules are applied
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
reference/example_isolates.html
+1 -1
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
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reference/example_isolates_unclean.html
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
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reference/first_isolate.html
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@@ -12,7 +12,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
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reference/g.test.html
+1 -1
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
reference/get_episode.html
+70 -68
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -182,40 +182,42 @@
<span class="r-in"><span><span class="va">df</span> <span class="op">&lt;-</span> <span class="va">example_isolates</span><span class="op">[</span><span class="fu"><a href="https://rdrr.io/r/base/sample.html" class="external-link">sample</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/seq.html" class="external-link">seq_len</a></span><span class="op">(</span><span class="fl">2000</span><span class="op">)</span>, size <span class="op">=</span> <span class="fl">200</span><span class="op">)</span>, <span class="op">]</span></span></span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="fu">get_episode</span><span class="op">(</span><span class="va">df</span><span class="op">$</span><span class="va">date</span>, episode_days <span class="op">=</span> <span class="fl">60</span><span class="op">)</span> <span class="co"># indices</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 49 11 47 52 11 50 54 53 64 23 65 64 4 33 34 43 52 35 16 4 9 27 38 10 37</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [26] 34 39 43 60 8 7 12 47 22 19 22 19 16 6 8 58 4 17 15 21 4 55 3 7 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [51] 65 45 66 40 62 50 22 18 26 38 17 32 27 49 35 36 30 47 34 24 58 61 36 45 17</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [76] 48 23 34 28 55 21 53 13 59 30 23 17 60 1 29 48 26 21 8 1 61 29 43 16 29</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [101] 31 31 12 15 46 31 13 35 39 14 8 64 52 36 60 32 4 48 28 33 30 45 10 25 17</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [126] 25 42 8 61 60 54 2 20 38 18 63 3 63 10 14 5 26 52 15 57 65 30 22 64 50</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [151] 23 61 41 64 58 36 20 15 44 51 57 20 27 41 26 37 29 37 47 18 18 30 28 62 13</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [176] 38 43 20 31 21 18 35 15 48 14 39 26 44 49 56 64 30 34 22 46 20 1 18 49 12</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 23 4 57 10 24 33 54 46 15 13 52 3 46 30 17 43 31 50 27 6 44 18 9 40 36</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [26] 5 32 49 49 9 23 27 8 8 22 53 26 58 1 59 49 59 5 35 22 11 43 60 54 13</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [51] 51 26 18 43 2 22 47 28 36 22 15 1 40 23 41 34 60 32 45 9 51 21 50 24 35</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [76] 42 26 29 58 31 13 59 4 55 38 10 19 54 29 7 53 50 55 15 40 4 46 55 61 9</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [101] 14 43 54 45 54 10 23 55 18 48 9 33 29 7 6 41 39 28 59 7 62 6 41 57 32</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [126] 60 41 35 37 15 45 49 24 36 10 25 22 20 52 14 62 8 6 42 60 12 41 14 32 21</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [151] 59 58 9 13 13 21 36 3 49 12 1 9 57 3 17 23 14 13 62 56 57 40 6 13 15</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [176] 19 57 24 47 59 20 61 46 54 58 48 30 39 4 32 42 25 4 22 20 56 3 16 44 11</span>
<span class="r-in"><span><span class="fu">is_new_episode</span><span class="op">(</span><span class="va">df</span><span class="op">$</span><span class="va">date</span>, episode_days <span class="op">=</span> <span class="fl">60</span><span class="op">)</span> <span class="co"># TRUE/FALSE</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] FALSE FALSE TRUE FALSE TRUE FALSE TRUE FALSE FALSE TRUE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [13] FALSE TRUE TRUE FALSE TRUE FALSE FALSE FALSE TRUE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [25] FALSE FALSE TRUE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [37] TRUE TRUE TRUE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [49] TRUE FALSE TRUE TRUE TRUE TRUE FALSE FALSE FALSE TRUE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [61] TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [73] FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE TRUE TRUE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [85] TRUE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE TRUE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [97] FALSE FALSE FALSE TRUE FALSE TRUE TRUE FALSE TRUE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [109] FALSE FALSE FALSE TRUE FALSE FALSE FALSE TRUE TRUE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [121] FALSE FALSE TRUE FALSE FALSE TRUE TRUE FALSE FALSE FALSE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [133] FALSE TRUE FALSE FALSE TRUE TRUE FALSE FALSE TRUE FALSE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [145] TRUE FALSE FALSE FALSE FALSE TRUE FALSE TRUE FALSE FALSE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [157] FALSE FALSE TRUE TRUE FALSE TRUE TRUE TRUE FALSE TRUE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [169] FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE TRUE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [181] FALSE TRUE FALSE FALSE TRUE FALSE TRUE FALSE TRUE TRUE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [193] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] TRUE TRUE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [13] TRUE FALSE FALSE FALSE FALSE FALSE TRUE FALSE TRUE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [25] FALSE FALSE FALSE FALSE TRUE TRUE FALSE FALSE TRUE FALSE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [37] TRUE FALSE TRUE FALSE FALSE TRUE TRUE FALSE FALSE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [49] FALSE TRUE TRUE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [61] TRUE FALSE TRUE FALSE TRUE TRUE TRUE FALSE FALSE FALSE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [73] TRUE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [85] TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [97] FALSE FALSE TRUE FALSE FALSE TRUE TRUE TRUE FALSE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [109] TRUE TRUE FALSE TRUE TRUE TRUE TRUE FALSE TRUE TRUE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [121] FALSE FALSE FALSE TRUE FALSE FALSE FALSE TRUE TRUE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [133] TRUE FALSE FALSE TRUE FALSE FALSE TRUE FALSE TRUE FALSE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [145] FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [157] TRUE FALSE FALSE TRUE FALSE FALSE FALSE FALSE TRUE FALSE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [169] FALSE TRUE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [181] TRUE FALSE FALSE FALSE TRUE FALSE TRUE FALSE FALSE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [193] FALSE TRUE FALSE FALSE TRUE TRUE FALSE TRUE</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="co"># filter on results from the third 60-day episode only, using base R</span></span></span>
<span class="r-in"><span><span class="va">df</span><span class="op">[</span><span class="fu"><a href="https://rdrr.io/r/base/which.html" class="external-link">which</a></span><span class="op">(</span><span class="fu">get_episode</span><span class="op">(</span><span class="va">df</span><span class="op">$</span><span class="va">date</span>, <span class="fl">60</span><span class="op">)</span> <span class="op">==</span> <span class="fl">3</span><span class="op">)</span>, <span class="op">]</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 2 × 46</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 4 × 46</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> date patient age gender ward mo PEN OXA FLC AMX </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;mo&gt;</span> <span style="color: #949494; font-style: italic;">&lt;rsi&gt;</span> <span style="color: #949494; font-style: italic;">&lt;rsi&gt;</span> <span style="color: #949494; font-style: italic;">&lt;rsi&gt;</span> <span style="color: #949494; font-style: italic;">&lt;rsi&gt;</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> 2002-08-19 A49852 70 M Clinical B_ESCHR_COLI R NA NA NA </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> 2002-07-30 218912 76 F ICU B_ESCHR_COLI R NA NA NA </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> 2002-08-31 149442 80 F ICU B_STPHY_AURS R NA S R </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> 2002-09-24 CF9318 29 M ICU B_CMPYL_JEJN NA NA NA NA </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> 2002-10-11 871360 78 M Clinical B_STPHY_EPDR R NA S NA </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span> 2002-08-28 390178 57 M Clinical B_STRPT_SLVR S NA NA S </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># … with 36 more variables: AMC &lt;rsi&gt;, AMP &lt;rsi&gt;, TZP &lt;rsi&gt;, CZO &lt;rsi&gt;,</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># FEP &lt;rsi&gt;, CXM &lt;rsi&gt;, FOX &lt;rsi&gt;, CTX &lt;rsi&gt;, CAZ &lt;rsi&gt;, CRO &lt;rsi&gt;,</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># GEN &lt;rsi&gt;, TOB &lt;rsi&gt;, AMK &lt;rsi&gt;, KAN &lt;rsi&gt;, TMP &lt;rsi&gt;, SXT &lt;rsi&gt;,</span></span>
@@ -251,16 +253,16 @@
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Groups: condition [3]</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> patient date condition new_episode</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;lgl&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 245525 2013-11-02 A FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 765860 2004-04-07 A FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 702351 2013-01-26 B FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 188588 2014-08-19 B FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 28F906 2004-04-05 C FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 62B634 2014-01-16 B FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> B61087 2015-03-17 C FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 4F9406 2015-01-23 C FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> D39422 2017-05-17 C FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 5B78D5 2007-01-01 A TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 403631 2007-07-31 C FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 304347 2002-11-04 C FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 964129 2016-06-21 A FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 189363 2004-03-17 C FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 80C025 2007-11-13 A FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 284FFF 2010-03-31 A FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> A76045 2015-10-06 C FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 959835 2013-11-16 B FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 277241 2005-09-01 C FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 696587 2004-11-16 C FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># … with 190 more rows</span></span>
<span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">require</a></span><span class="op">(</span><span class="st"><a href="https://dplyr.tidyverse.org" class="external-link">"dplyr"</a></span><span class="op">)</span><span class="op">)</span> <span class="op">{</span></span></span>
<span class="r-in"><span> <span class="va">df</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>
@@ -272,19 +274,19 @@
<span class="r-in"><span> <span class="op">)</span></span></span>
<span class="r-in"><span><span class="op">}</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 200 × 5</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Groups: ward, patient [182]</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> ward date patient new_index new_logical</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;lgl&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> ICU 2013-11-02 245525 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> Clinical 2004-04-07 765860 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> ICU 2013-01-26 702351 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> Clinical 2014-08-19 188588 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> ICU 2004-04-05 28F906 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> Clinical 2014-01-16 62B634 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> ICU 2015-03-17 B61087 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> Clinical 2015-01-23 4F9406 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> Clinical 2017-05-17 D39422 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> Outpatient 2007-01-01 5B78D5 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Groups: ward, patient [179]</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> ward date patient new_index new_logical</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;lgl&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> Clinical 2007-07-31 403631 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> Clinical 2002-11-04 304347 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> Clinical 2016-06-21 964129 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> Clinical 2004-03-17 189363 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> Clinical 2007-11-13 80C025 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> Clinical 2010-03-31 284FFF 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> ICU 2015-10-06 A76045 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> Clinical 2013-11-16 959835 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> ICU 2005-09-01 277241 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> ICU 2004-11-16 696587 1 FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># … with 190 more rows</span></span>
<span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">require</a></span><span class="op">(</span><span class="st"><a href="https://dplyr.tidyverse.org" class="external-link">"dplyr"</a></span><span class="op">)</span><span class="op">)</span> <span class="op">{</span></span></span>
<span class="r-in"><span> <span class="va">df</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>
@@ -299,9 +301,9 @@
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 3 × 5</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> ward n_patients n_episodes_365 n_episodes_60 n_episodes_30</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> Clinical 116 14 54 75</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> ICU 57 12 39 46</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> Outpatient 9 6 7 7</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> Clinical 112 14 57 81</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> ICU 53 13 37 44</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> Outpatient 14 8 11 12</span>
<span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">require</a></span><span class="op">(</span><span class="st"><a href="https://dplyr.tidyverse.org" class="external-link">"dplyr"</a></span><span class="op">)</span><span class="op">)</span> <span class="op">{</span></span></span>
<span class="r-in"><span></span></span>
<span class="r-in"><span> <span class="co"># grouping on patients and microorganisms leads to the same</span></span></span>
@@ -331,19 +333,19 @@
<span class="r-in"><span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/select.html" class="external-link">select</a></span><span class="op">(</span><span class="fu"><a href="https://dplyr.tidyverse.org/reference/group_data.html" class="external-link">group_vars</a></span><span class="op">(</span><span class="va">.</span><span class="op">)</span>, <span class="va">flag_episode</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="op">}</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 200 × 4</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Groups: patient, mo, ward [190]</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> patient mo ward flag_episode</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;mo&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;lgl&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 245525 B_PROTS_MRBL ICU TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 765860 B_STRPT_GRPA Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 702351 B_ESCHR_COLI ICU TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 188588 B_CTRBC_KOSR Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 28F906 B_STPHY_CONS ICU TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 62B634 B_STRPT_PNMN Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> B61087 B_STPHY_EPDR ICU TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 4F9406 B_KLBSL_PNMN Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> D39422 B_KLBSL_PNMN Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 5B78D5 B_STPHY_AURS Outpatient TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Groups: patient, mo, ward [186]</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> patient mo ward flag_episode</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;mo&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;lgl&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 403631 B_ESCHR_COLI Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 304347 B_STRPT_PNMN Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 964129 B_SERRT_MRCS Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 189363 B_STPHY_AURS Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 80C025 B_ESCHR_COLI Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 284FFF B_STPHY_EPDR Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> A76045 B_STPHY_EPDR ICU TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 959835 B_STPHY_EPDR Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 277241 B_STPHY_AURS ICU TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 696587 B_ESCHR_COLI ICU FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># … with 190 more rows</span></span>
<span class="r-in"><span><span class="co"># }</span></span></span>
</code></pre></div>
reference/ggplot_pca.html
+1 -1
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
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reference/ggplot_rsi.html
+1 -1
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
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reference/guess_ab_col.html
+1 -1
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
reference/index.html
+1 -1
View File
@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
reference/intrinsic_resistant.html
+1 -1
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
reference/italicise_taxonomy.html
+1 -1
View File
@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
reference/join.html
+1 -1
View File
@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
reference/key_antimicrobials.html
+1 -1
View File
@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
reference/kurtosis.html
+3 -3
View File
@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -172,9 +172,9 @@
<div class="section level2">
<h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
<div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu">kurtosis</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/Normal.html" class="external-link">rnorm</a></span><span class="op">(</span><span class="fl">10000</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 2.942494</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 2.991918</span>
<span class="r-in"><span><span class="fu">kurtosis</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/Normal.html" class="external-link">rnorm</a></span><span class="op">(</span><span class="fl">10000</span><span class="op">)</span>, excess <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] -0.008191898</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] -0.0630367</span>
</code></pre></div>
</div>
</main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
reference/like.html
+1 -1
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
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reference/mdro.html
+1 -1
View File
@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
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reference/mean_amr_distance.html
+37 -36
View File
@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -200,10 +200,11 @@
<div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">x</span> <span class="op">&lt;-</span> <span class="fu"><a href="random.html">random_mic</a></span><span class="op">(</span><span class="fl">10</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="va">x</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'mic'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.125 16 128 0.5 4 0.5 0.0625 0.01 0.025 32 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] &gt;=128 2 32 &lt;=0.002 64 &lt;=0.002 0.005 8 0.025 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [10] 64 </span>
<span class="r-in"><span><span class="fu">mean_amr_distance</span><span class="op">(</span><span class="va">x</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] -0.5844196 0.9288246 1.5773579 -0.1520641 0.4964691 -0.1520641</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [7] -0.8005973 -1.3721402 -1.0863687 1.1450024</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 1.0898120 0.1928148 0.7908130 -1.2970653 0.9403125 -1.2970653</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [7] -1.0994377 0.4918139 -0.7523105 0.9403125</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="va">y</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span></span></span>
<span class="r-in"><span> id <span class="op">=</span> <span class="va">LETTERS</span><span class="op">[</span><span class="fl">1</span><span class="op">:</span><span class="fl">10</span><span class="op">]</span>,</span></span>
@@ -214,37 +215,37 @@
<span class="r-in"><span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="va">y</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> id amox cipr gent tobr</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 A 16 &gt;=4 1 &gt;=8</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 B 8 1 1 &gt;=8</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 C 8 2 4 &lt;=0.5</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 D 8 0.25 16 4</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 E 4 &lt;=0.0625 4 4</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 F 16 1 2 4</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 G 8 2 4 4</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 H 4 1 4 &gt;=8</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 I 4 0.5 4 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 J 16 0.125 1 &lt;=0.5</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 A 16 &lt;=0.0625 0.5 4</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 B 4 0.5 0.5 1</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 C 16 0.5 0.5 &lt;=0.5</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 D 8 &lt;=0.0625 0.5 &lt;=0.5</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 E 4 0.25 0.25 &gt;=16</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 F 16 0.5 4 4</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 G 8 &lt;=0.0625 0.5 1</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 H &gt;=32 0.5 1 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 I &gt;=32 1 0.5 &gt;=16</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 J 4 0.25 0.25 4</span>
<span class="r-in"><span><span class="fu">mean_amr_distance</span><span class="op">(</span><span class="va">y</span><span class="op">)</span></span></span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Calculating mean AMR distance based on columns "amox", "cipr", "gent",</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> "id" and "tobr"</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>NAs introduced by coercion</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.58580073 0.01609138 -0.12243892 0.37435404 -0.58927461 0.35318445</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [7] 0.37571945 0.10382446 -0.36004270 -0.73721828</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] -0.15596821 -0.35223027 -0.06296188 -0.77906287 -0.19333099 1.00776983</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [7] -0.64235988 0.64363737 1.00124386 -0.46673697</span>
<span class="r-in"><span><span class="va">y</span><span class="op">$</span><span class="va">amr_distance</span> <span class="op">&lt;-</span> <span class="fu">mean_amr_distance</span><span class="op">(</span><span class="va">y</span>, <span class="fu">where</span><span class="op">(</span><span class="va">is.mic</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Calculating mean AMR distance based on columns "amox", "cipr", "gent" and</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> "tobr"</span>
<span class="r-in"><span><span class="va">y</span><span class="op">[</span><span class="fu"><a href="https://rdrr.io/r/base/order.html" class="external-link">order</a></span><span class="op">(</span><span class="va">y</span><span class="op">$</span><span class="va">amr_distance</span><span class="op">)</span>, <span class="op">]</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> id amox cipr gent tobr amr_distance</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 J 16 0.125 1 &lt;=0.5 -0.73721828</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 E 4 &lt;=0.0625 4 4 -0.58927461</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 I 4 0.5 4 2 -0.36004270</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 C 8 2 4 &lt;=0.5 -0.12243892</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 B 8 1 1 &gt;=8 0.01609138</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 H 4 1 4 &gt;=8 0.10382446</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 F 16 1 2 4 0.35318445</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 D 8 0.25 16 4 0.37435404</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 G 8 2 4 4 0.37571945</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 A 16 &gt;=4 1 &gt;=8 0.58580073</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 D 8 &lt;=0.0625 0.5 &lt;=0.5 -0.77906287</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 G 8 &lt;=0.0625 0.5 1 -0.64235988</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 J 4 0.25 0.25 4 -0.46673697</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 B 4 0.5 0.5 1 -0.35223027</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 E 4 0.25 0.25 &gt;=16 -0.19333099</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 A 16 &lt;=0.0625 0.5 4 -0.15596821</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 C 16 0.5 0.5 &lt;=0.5 -0.06296188</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 H &gt;=32 0.5 1 2 0.64363737</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 I &gt;=32 1 0.5 &gt;=16 1.00124386</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 F 16 0.5 4 4 1.00776983</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">require</a></span><span class="op">(</span><span class="st"><a href="https://dplyr.tidyverse.org" class="external-link">"dplyr"</a></span><span class="op">)</span><span class="op">)</span> <span class="op">{</span></span></span>
<span class="r-in"><span> <span class="va">y</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>
@@ -257,16 +258,16 @@
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Calculating mean AMR distance based on columns "amox", "cipr", "gent" and</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> "tobr"</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> id amox cipr gent tobr amr_distance check_id_C</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 C 8 2 4 &lt;=0.5 -0.12243892 0.0000000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 B 8 1 1 &gt;=8 0.01609138 0.1385303</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 H 4 1 4 &gt;=8 0.10382446 0.2262634</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 I 4 0.5 4 2 -0.36004270 0.2376038</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 E 4 &lt;=0.0625 4 4 -0.58927461 0.4668357</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 F 16 1 2 4 0.35318445 0.4756234</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 D 8 0.25 16 4 0.37435404 0.4967930</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 G 8 2 4 4 0.37571945 0.4981584</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 J 16 0.125 1 &lt;=0.5 -0.73721828 0.6147794</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 A 16 &gt;=4 1 &gt;=8 0.58580073 0.7082397</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 C 16 0.5 0.5 &lt;=0.5 -0.06296188 0.00000000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 A 16 &lt;=0.0625 0.5 4 -0.15596821 0.09300632</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 E 4 0.25 0.25 &gt;=16 -0.19333099 0.13036910</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 B 4 0.5 0.5 1 -0.35223027 0.28926839</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 J 4 0.25 0.25 4 -0.46673697 0.40377508</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 G 8 &lt;=0.0625 0.5 1 -0.64235988 0.57939799</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 H &gt;=32 0.5 1 2 0.64363737 0.70659925</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 D 8 &lt;=0.0625 0.5 &lt;=0.5 -0.77906287 0.71610098</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 I &gt;=32 1 0.5 &gt;=16 1.00124386 1.06420574</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 F 16 0.5 4 4 1.00776983 1.07073172</span>
<span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">require</a></span><span class="op">(</span><span class="st"><a href="https://dplyr.tidyverse.org" class="external-link">"dplyr"</a></span><span class="op">)</span><span class="op">)</span> <span class="op">{</span></span></span>
<span class="r-in"><span> <span class="co"># support for groups</span></span></span>
<span class="r-in"><span> <span class="va">example_isolates</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>
reference/microorganisms.codes.html
+1 -1
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
reference/microorganisms.html
+1 -1
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
reference/mo_matching_score.html
+3 -3
View File
@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -173,7 +173,7 @@
<p><strong>Group 2</strong> consists of all microorganisms where the taxonomic phylum is Proteobacteria, Firmicutes, Actinobacteria or Sarcomastigophora, or where the taxonomic genus is <em>Absidia</em>, <em>Acanthamoeba</em>, <em>Acholeplasma</em>, <em>Acremonium</em>, <em>Actinotignum</em>, <em>Aedes</em>, <em>Alistipes</em>, <em>Alloprevotella</em>, <em>Alternaria</em>, <em>Amoeba</em>, <em>Anaerosalibacter</em>, <em>Ancylostoma</em>, <em>Angiostrongylus</em>, <em>Anisakis</em>, <em>Anopheles</em>, <em>Apophysomyces</em>, <em>Arachnia</em>, <em>Aspergillus</em>, <em>Aureobasidium</em>, <em>Bacteroides</em>, <em>Basidiobolus</em>, <em>Beauveria</em>, <em>Bergeyella</em>, <em>Blastocystis</em>, <em>Blastomyces</em>, <em>Borrelia</em>, <em>Brachyspira</em>, <em>Branhamella</em>, <em>Butyricimonas</em>, <em>Candida</em>, <em>Capillaria</em>, <em>Capnocytophaga</em>, <em>Catabacter</em>, <em>Cetobacterium</em>, <em>Chaetomium</em>, <em>Chlamydia</em>, <em>Chlamydophila</em>, <em>Chryseobacterium</em>, <em>Chrysonilia</em>, <em>Cladophialophora</em>, <em>Cladosporium</em>, <em>Conidiobolus</em>, <em>Contracaecum</em>, <em>Cordylobia</em>, <em>Cryptococcus</em>, <em>Curvularia</em>, <em>Deinococcus</em>, <em>Demodex</em>, <em>Dermatobia</em>, <em>Dientamoeba</em>, <em>Diphyllobothrium</em>, <em>Dirofilaria</em>, <em>Dysgonomonas</em>, <em>Echinostoma</em>, <em>Elizabethkingia</em>, <em>Empedobacter</em>, <em>Entamoeba</em>, <em>Enterobius</em>, <em>Exophiala</em>, <em>Exserohilum</em>, <em>Fasciola</em>, <em>Flavobacterium</em>, <em>Fonsecaea</em>, <em>Fusarium</em>, <em>Fusobacterium</em>, <em>Giardia</em>, <em>Haloarcula</em>, <em>Halobacterium</em>, <em>Halococcus</em>, <em>Hendersonula</em>, <em>Heterophyes</em>, <em>Histomonas</em>, <em>Histoplasma</em>, <em>Hymenolepis</em>, <em>Hypomyces</em>, <em>Hysterothylacium</em>, <em>Leishmania</em>, <em>Lelliottia</em>, <em>Leptosphaeria</em>, <em>Leptotrichia</em>, <em>Lucilia</em>, <em>Lumbricus</em>, <em>Malassezia</em>, <em>Malbranchea</em>, <em>Metagonimus</em>, <em>Meyerozyma</em>, <em>Microsporidium</em>, <em>Microsporum</em>, <em>Mortierella</em>, <em>Mucor</em>, <em>Mycocentrospora</em>, <em>Mycoplasma</em>, <em>Myroides</em>, <em>Necator</em>, <em>Nectria</em>, <em>Ochroconis</em>, <em>Odoribacter</em>, <em>Oesophagostomum</em>, <em>Oidiodendron</em>, <em>Opisthorchis</em>, <em>Ornithobacterium</em>, <em>Parabacteroides</em>, <em>Pediculus</em>, <em>Pedobacter</em>, <em>Phlebotomus</em>, <em>Phocaeicola</em>, <em>Phocanema</em>, <em>Phoma</em>, <em>Pichia</em>, <em>Piedraia</em>, <em>Pithomyces</em>, <em>Pityrosporum</em>, <em>Pneumocystis</em>, <em>Porphyromonas</em>, <em>Prevotella</em>, <em>Pseudallescheria</em>, <em>Pseudoterranova</em>, <em>Pulex</em>, <em>Rhizomucor</em>, <em>Rhizopus</em>, <em>Rhodotorula</em>, <em>Riemerella</em>, <em>Saccharomyces</em>, <em>Sarcoptes</em>, <em>Scolecobasidium</em>, <em>Scopulariopsis</em>, <em>Scytalidium</em>, <em>Sphingobacterium</em>, <em>Spirometra</em>, <em>Spiroplasma</em>, <em>Sporobolomyces</em>, <em>Stachybotrys</em>, <em>Streptobacillus</em>, <em>Strongyloides</em>, <em>Syngamus</em>, <em>Taenia</em>, <em>Tannerella</em>, <em>Tenacibaculum</em>, <em>Terrimonas</em>, <em>Toxocara</em>, <em>Treponema</em>, <em>Trichinella</em>, <em>Trichobilharzia</em>, <em>Trichoderma</em>, <em>Trichomonas</em>, <em>Trichophyton</em>, <em>Trichosporon</em>, <em>Trichostrongylus</em>, <em>Trichuris</em>, <em>Tritirachium</em>, <em>Trombicula</em>, <em>Trypanosoma</em>, <em>Tunga</em>, <em>Ureaplasma</em>, <em>Victivallis</em>, <em>Wautersiella</em>, <em>Weeksella</em> or <em>Wuchereria</em>.</p>
<p><strong>Group 3</strong> consists of all other microorganisms.</p>
<p>All characters in \(x\) and \(n\) are ignored that are other than A-Z, a-z, 0-9, spaces and parentheses.</p>
<p>All matches are sorted descending on their matching score and for all user input values, the top match will be returned. This will lead to the effect that e.g., <code>"E. coli"</code> will return the microbial ID of <em>Escherichia coli</em> (\(m = 0.688\), a highly prevalent microorganism found in humans) and not <em>Entamoeba coli</em> (\(m = 0.119\), a less prevalent microorganism in humans), although the latter would alphabetically come first.</p>
<p>All matches are sorted descending on their matching score and for all user input values, the top match will be returned. This will lead to the effect that e.g., <code>"E. coli"</code> will return the microbial ID of <em>Escherichia coli</em> (\(m = 0.688\), a highly prevalent microorganism found in humans) and not <em>Entamoeba coli</em> (\(m = 0.079\), a less prevalent microorganism in humans), although the latter would alphabetically come first.</p>
</div>
<div class="section level2">
<h2 id="reference-data-publicly-available">Reference Data Publicly Available<a class="anchor" aria-label="anchor" href="#reference-data-publicly-available"></a></h2>
@@ -206,7 +206,7 @@
<span class="r-in"><span> x <span class="op">=</span> <span class="st">"E. coli"</span>,</span></span>
<span class="r-in"><span> n <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Escherichia coli"</span>, <span class="st">"Entamoeba coli"</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.6875000 0.1190476</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.68750000 0.07936508</span>
</code></pre></div>
</div>
</main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
reference/mo_property.html
+7 -7
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9057</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9058</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -403,14 +403,14 @@
</ul></div>
<div class="section level2">
<h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
<p>All functions will, at default, keep old taxonomic properties. Please refer to this example, knowing that <em>Escherichia blattae</em> was renamed to <em>Shimwellia blattae</em> in 2010:</p><ul><li><p><code>mo_name("Escherichia blattae")</code> will return <code>"Shimwellia blattae"</code> (with a message about the renaming)</p></li>
<li><p><code>mo_ref("Escherichia blattae", keep_synonyms = TRUE)</code> will return <code>"Burgess et al., 1973"</code> (with a warning about the renaming)</p></li>
<li><p><code>mo_ref("Shimwellia blattae", keep_synonyms = FALSE)</code> will return <code>"Priest et al., 2010"</code> (without a message)</p></li>
<p>All functions will, at default, keep old taxonomic properties. Please refer to this example, knowing that <em>Escherichia blattae</em> was renamed to <em>Shimwellia blattae</em> in 2010:</p><ul><li><p><code>mo_name("Escherichia blattae")</code> will return <code>"Shimwellia blattae"</code> (with a note about the renaming)</p></li>
<li><p><code>mo_ref("Escherichia blattae", keep_synonyms = TRUE)</code> will return <code>"Burgess et al., 1973"</code> (without a note)</p></li>
<li><p><code>mo_ref("Shimwellia blattae", keep_synonyms = FALSE)</code> will return <code>"Priest et al., 2010"</code> (without a note)</p></li>
</ul><p>The short name - <code>mo_shortname()</code> - almost always returns the first character of the genus and the full species, like <code>"E. coli"</code>. Exceptions are abbreviations of staphylococci (such as <em>"CoNS"</em>, Coagulase-Negative Staphylococci) and beta-haemolytic streptococci (such as <em>"GBS"</em>, Group B Streptococci). Please bear in mind that e.g. <em>E. coli</em> could mean <em>Escherichia coli</em> (kingdom of Bacteria) as well as <em>Entamoeba coli</em> (kingdom of Protozoa). Returning to the full name will be done using <code><a href="as.mo.html">as.mo()</a></code> internally, giving priority to bacteria and human pathogens, i.e. <code>"E. coli"</code> will be considered <em>Escherichia coli</em>. In other words, <code>mo_fullname(mo_shortname("Entamoeba coli"))</code> returns <code>"Escherichia coli"</code>.</p>
<p>Since the top-level of the taxonomy is sometimes referred to as 'kingdom' and sometimes as 'domain', the functions <code>mo_kingdom()</code> and <code>mo_domain()</code> return the exact same results.</p>
<p>The Gram stain - <code>mo_gramstain()</code> - will be determined based on the taxonomic kingdom and phylum. Originally, Cavalier-Smith defined the so-called subkingdoms Negibacteria and Posibacteria (2002, <a href="https://pubmed.ncbi.nlm.nih.gov/11837318/" class="external-link">PMID 11837318</a>), and only considered these phyla as Posibacteria: Actinobacteria, Chloroflexi, Firmicutes, and Tenericutes. All of these phyla were renamed to Actinomycetota, Chloroflexota, Bacillota, and Mycoplasmatota (2021, <a href="https://pubmed.ncbi.nlm.nih.gov/34694987/" class="external-link">PMID 34694987</a>). Bacteria in these phyla are considered Gram-positive in this <code>AMR</code> package, except for members of the class Negativicutes (within phylum Bacillota) which are Gram-negative. All other bacteria are considered Gram-negative. Species outside the kingdom of Bacteria will return a value <code>NA</code>. Functions <code>mo_is_gram_negative()</code> and <code>mo_is_gram_positive()</code> always return <code>TRUE</code> or <code>FALSE</code> (or <code>NA</code> when the input is <code>NA</code> or the MO code is <code>UNKNOWN</code>), thus always return <code>FALSE</code> for species outside the taxonomic kingdom of Bacteria.</p>
<p>Determination of the Gram stain - <code>mo_gramstain()</code> - will be based on the taxonomic kingdom and phylum. Originally, Cavalier-Smith defined the so-called subkingdoms Negibacteria and Posibacteria (2002, <a href="https://pubmed.ncbi.nlm.nih.gov/11837318/" class="external-link">PMID 11837318</a>), and only considered these phyla as Posibacteria: Actinobacteria, Chloroflexi, Firmicutes, and Tenericutes. These phyla were renamed to Actinomycetota, Chloroflexota, Bacillota, and Mycoplasmatota (2021, <a href="https://pubmed.ncbi.nlm.nih.gov/34694987/" class="external-link">PMID 34694987</a>). Bacteria in these phyla are considered Gram-positive in this <code>AMR</code> package, except for members of the class Negativicutes (within phylum Bacillota) which are Gram-negative. All other bacteria are considered Gram-negative. Species outside the kingdom of Bacteria will return a value <code>NA</code>. Functions <code>mo_is_gram_negative()</code> and <code>mo_is_gram_positive()</code> always return <code>TRUE</code> or <code>FALSE</code> (or <code>NA</code> when the input is <code>NA</code> or the MO code is <code>UNKNOWN</code>), thus always return <code>FALSE</code> for species outside the taxonomic kingdom of Bacteria.</p>
<p>Determination of yeasts - <code>mo_is_yeast()</code> - will be based on the taxonomic kingdom and class. <em>Budding yeasts</em> are fungi of the phylum Ascomycota, class Saccharomycetes (also called Hemiascomycetes). <em>True yeasts</em> are aggregated into the underlying order Saccharomycetales. Thus, for all microorganisms that are member of the taxonomic class Saccharomycetes, the function will return <code>TRUE</code>. It returns <code>FALSE</code> otherwise (or <code>NA</code> when the input is <code>NA</code> or the MO code is <code>UNKNOWN</code>).</p>
<p>Intrinsic resistance - <code>mo_is_intrinsic_resistant()</code> - will be determined based on the <a href="intrinsic_resistant.html">intrinsic_resistant</a> data set, which is based on <a href="https://www.eucast.org/expert_rules_and_expected_phenotypes/" class="external-link">'EUCAST Expert Rules' and 'EUCAST Intrinsic Resistance and Unusual Phenotypes' v3.3</a> (2021). The <code>mo_is_intrinsic_resistant()</code> functions can be vectorised over arguments <code>x</code> (input for microorganisms) and over <code>ab</code> (input for antibiotics).</p>
<p>Determination of intrinsic resistance - <code>mo_is_intrinsic_resistant()</code> - will be based on the <a href="intrinsic_resistant.html">intrinsic_resistant</a> data set, which is based on <a href="https://www.eucast.org/expert_rules_and_expected_phenotypes/" class="external-link">'EUCAST Expert Rules' and 'EUCAST Intrinsic Resistance and Unusual Phenotypes' v3.3</a> (2021). The <code>mo_is_intrinsic_resistant()</code> function can be vectorised over both argument <code>x</code> (input for microorganisms) and <code>ab</code> (input for antibiotics).</p>
<p>All output <a href="translate.html">will be translated</a> where possible.</p>
<p>The function <code>mo_url()</code> will return the direct URL to the online database entry, which also shows the scientific reference of the concerned species.</p>
<p>SNOMED codes - <code>mo_snomed()</code> - are from the version of 1 July, 2021. See <em>Source</em> and the <a href="microorganisms.html">microorganisms</a> data set for more info.</p>
@@ -433,7 +433,7 @@
<p><strong>Group 2</strong> consists of all microorganisms where the taxonomic phylum is Proteobacteria, Firmicutes, Actinobacteria or Sarcomastigophora, or where the taxonomic genus is <em>Absidia</em>, <em>Acanthamoeba</em>, <em>Acholeplasma</em>, <em>Acremonium</em>, <em>Actinotignum</em>, <em>Aedes</em>, <em>Alistipes</em>, <em>Alloprevotella</em>, <em>Alternaria</em>, <em>Amoeba</em>, <em>Anaerosalibacter</em>, <em>Ancylostoma</em>, <em>Angiostrongylus</em>, <em>Anisakis</em>, <em>Anopheles</em>, <em>Apophysomyces</em>, <em>Arachnia</em>, <em>Aspergillus</em>, <em>Aureobasidium</em>, <em>Bacteroides</em>, <em>Basidiobolus</em>, <em>Beauveria</em>, <em>Bergeyella</em>, <em>Blastocystis</em>, <em>Blastomyces</em>, <em>Borrelia</em>, <em>Brachyspira</em>, <em>Branhamella</em>, <em>Butyricimonas</em>, <em>Candida</em>, <em>Capillaria</em>, <em>Capnocytophaga</em>, <em>Catabacter</em>, <em>Cetobacterium</em>, <em>Chaetomium</em>, <em>Chlamydia</em>, <em>Chlamydophila</em>, <em>Chryseobacterium</em>, <em>Chrysonilia</em>, <em>Cladophialophora</em>, <em>Cladosporium</em>, <em>Conidiobolus</em>, <em>Contracaecum</em>, <em>Cordylobia</em>, <em>Cryptococcus</em>, <em>Curvularia</em>, <em>Deinococcus</em>, <em>Demodex</em>, <em>Dermatobia</em>, <em>Dientamoeba</em>, <em>Diphyllobothrium</em>, <em>Dirofilaria</em>, <em>Dysgonomonas</em>, <em>Echinostoma</em>, <em>Elizabethkingia</em>, <em>Empedobacter</em>, <em>Entamoeba</em>, <em>Enterobius</em>, <em>Exophiala</em>, <em>Exserohilum</em>, <em>Fasciola</em>, <em>Flavobacterium</em>, <em>Fonsecaea</em>, <em>Fusarium</em>, <em>Fusobacterium</em>, <em>Giardia</em>, <em>Haloarcula</em>, <em>Halobacterium</em>, <em>Halococcus</em>, <em>Hendersonula</em>, <em>Heterophyes</em>, <em>Histomonas</em>, <em>Histoplasma</em>, <em>Hymenolepis</em>, <em>Hypomyces</em>, <em>Hysterothylacium</em>, <em>Leishmania</em>, <em>Lelliottia</em>, <em>Leptosphaeria</em>, <em>Leptotrichia</em>, <em>Lucilia</em>, <em>Lumbricus</em>, <em>Malassezia</em>, <em>Malbranchea</em>, <em>Metagonimus</em>, <em>Meyerozyma</em>, <em>Microsporidium</em>, <em>Microsporum</em>, <em>Mortierella</em>, <em>Mucor</em>, <em>Mycocentrospora</em>, <em>Mycoplasma</em>, <em>Myroides</em>, <em>Necator</em>, <em>Nectria</em>, <em>Ochroconis</em>, <em>Odoribacter</em>, <em>Oesophagostomum</em>, <em>Oidiodendron</em>, <em>Opisthorchis</em>, <em>Ornithobacterium</em>, <em>Parabacteroides</em>, <em>Pediculus</em>, <em>Pedobacter</em>, <em>Phlebotomus</em>, <em>Phocaeicola</em>, <em>Phocanema</em>, <em>Phoma</em>, <em>Pichia</em>, <em>Piedraia</em>, <em>Pithomyces</em>, <em>Pityrosporum</em>, <em>Pneumocystis</em>, <em>Porphyromonas</em>, <em>Prevotella</em>, <em>Pseudallescheria</em>, <em>Pseudoterranova</em>, <em>Pulex</em>, <em>Rhizomucor</em>, <em>Rhizopus</em>, <em>Rhodotorula</em>, <em>Riemerella</em>, <em>Saccharomyces</em>, <em>Sarcoptes</em>, <em>Scolecobasidium</em>, <em>Scopulariopsis</em>, <em>Scytalidium</em>, <em>Sphingobacterium</em>, <em>Spirometra</em>, <em>Spiroplasma</em>, <em>Sporobolomyces</em>, <em>Stachybotrys</em>, <em>Streptobacillus</em>, <em>Strongyloides</em>, <em>Syngamus</em>, <em>Taenia</em>, <em>Tannerella</em>, <em>Tenacibaculum</em>, <em>Terrimonas</em>, <em>Toxocara</em>, <em>Treponema</em>, <em>Trichinella</em>, <em>Trichobilharzia</em>, <em>Trichoderma</em>, <em>Trichomonas</em>, <em>Trichophyton</em>, <em>Trichosporon</em>, <em>Trichostrongylus</em>, <em>Trichuris</em>, <em>Tritirachium</em>, <em>Trombicula</em>, <em>Trypanosoma</em>, <em>Tunga</em>, <em>Ureaplasma</em>, <em>Victivallis</em>, <em>Wautersiella</em>, <em>Weeksella</em> or <em>Wuchereria</em>.</p>
<p><strong>Group 3</strong> consists of all other microorganisms.</p>
<p>All characters in \(x\) and \(n\) are ignored that are other than A-Z, a-z, 0-9, spaces and parentheses.</p>
<p>All matches are sorted descending on their matching score and for all user input values, the top match will be returned. This will lead to the effect that e.g., <code>"E. coli"</code> will return the microbial ID of <em>Escherichia coli</em> (\(m = 0.688\), a highly prevalent microorganism found in humans) and not <em>Entamoeba coli</em> (\(m = 0.119\), a less prevalent microorganism in humans), although the latter would alphabetically come first.</p>
<p>All matches are sorted descending on their matching score and for all user input values, the top match will be returned. This will lead to the effect that e.g., <code>"E. coli"</code> will return the microbial ID of <em>Escherichia coli</em> (\(m = 0.688\), a highly prevalent microorganism found in humans) and not <em>Entamoeba coli</em> (\(m = 0.079\), a less prevalent microorganism in humans), although the latter would alphabetically come first.</p>
</div>
<div class="section level2">
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@@ -183,42 +183,42 @@
<h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
<div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu">random_mic</span><span class="op">(</span><span class="fl">25</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'mic'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 4 4 4 128 8 4 0.0625 0.25 0.5 2 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [11] 4 64 0.0625 32 0.25 0.001 0.001 0.025 0.001 &gt;=256 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [21] 4 0.025 0.5 4 0.025 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 8 0.25 0.01 8 128 0.025 0.5 &lt;=0.002 32 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [10] 64 16 0.005 0.005 0.025 0.025 0.25 0.025 8 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [19] 256 256 2 256 0.005 0.025 64 </span>
<span class="r-in"><span><span class="fu">random_disk</span><span class="op">(</span><span class="fl">25</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'disk'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 32 46 50 35 15 7 42 27 21 15 8 36 30 46 47 43 42 50 32 34 21 43 21 28 43</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 30 16 47 35 37 49 26 34 44 48 27 44 26 41 49 23 7 50 19 34 38 25 21 43 29</span>
<span class="r-in"><span><span class="fu">random_rsi</span><span class="op">(</span><span class="fl">25</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'rsi'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] R I I S S R S I S R R S I S S I R I R I S S S S R</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] R S S S S I S S R R R I S S S S S S S S R I R I S</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="co"># \donttest{</span></span></span>
<span class="r-in"><span><span class="co"># make the random generation more realistic by setting a bug and/or drug:</span></span></span>
<span class="r-in"><span><span class="fu">random_mic</span><span class="op">(</span><span class="fl">25</span>, <span class="st">"Klebsiella pneumoniae"</span><span class="op">)</span> <span class="co"># range 0.0625-64</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'mic'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 128 32 0.025 0.25 0.125 0.01 &lt;=0.001 1 0.25 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [10] 1 0.005 0.025 0.0625 128 0.5 0.005 0.0625 0.005 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [19] &lt;=0.001 128 4 0.5 0.002 0.25 0.01 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 1 128 0.001 0.01 128 0.01 0.001 0.01 4 128 0.001 0.01 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [13] 0.002 4 16 32 1 0.25 1 2 64 16 64 16 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [25] 0.01 </span>
<span class="r-in"><span><span class="fu">random_mic</span><span class="op">(</span><span class="fl">25</span>, <span class="st">"Klebsiella pneumoniae"</span>, <span class="st">"meropenem"</span><span class="op">)</span> <span class="co"># range 0.0625-16</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'mic'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.5 8 8 0.5 0.5 2 4 &gt;=16 0.5 4 8 &gt;=16 0.5 &gt;=16 2 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [16] &gt;=16 1 8 1 4 4 &gt;=16 &gt;=16 &gt;=16 0.5 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] &lt;=1 8 8 8 &lt;=1 2 4 8 &gt;=16 &gt;=16 2 4 8 &gt;=16 8 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [16] 4 2 &gt;=16 4 &lt;=1 2 &gt;=16 8 8 2 </span>
<span class="r-in"><span><span class="fu">random_mic</span><span class="op">(</span><span class="fl">25</span>, <span class="st">"Streptococcus pneumoniae"</span>, <span class="st">"meropenem"</span><span class="op">)</span> <span class="co"># range 0.0625-4</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'mic'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 1 2 0.125 0.5 0.5 0.25 2 0.125 2 1 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [11] 0.125 0.125 4 8 0.25 0.125 4 0.5 2 0.0625</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [21] 4 0.5 1 &gt;=16 1 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 1 2 &gt;=16 &gt;=16 4 2 0.5 0.5 0.25 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [10] 1 0.5 &lt;=0.125 2 4 &gt;=16 4 8 &gt;=16 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [19] 4 1 &lt;=0.125 0.5 0.5 0.5 2 </span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="fu">random_disk</span><span class="op">(</span><span class="fl">25</span>, <span class="st">"Klebsiella pneumoniae"</span><span class="op">)</span> <span class="co"># range 8-50</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'disk'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 11 41 18 50 12 39 48 47 25 23 19 14 14 36 46 21 46 18 17 50 26 20 33 12 44</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 21 36 49 10 16 15 34 46 43 42 33 47 43 50 19 45 45 13 34 9 46 20 42 40 12</span>
<span class="r-in"><span><span class="fu">random_disk</span><span class="op">(</span><span class="fl">25</span>, <span class="st">"Klebsiella pneumoniae"</span>, <span class="st">"ampicillin"</span><span class="op">)</span> <span class="co"># range 11-17</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'disk'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 11 16 14 13 11 17 16 12 14 12 13 13 17 13 15 15 16 13 11 15 11 16 11 16 11</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 16 11 16 13 11 12 11 14 13 11 14 11 12 15 12 12 13 13 17 17 16 13 16 11 15</span>
<span class="r-in"><span><span class="fu">random_disk</span><span class="op">(</span><span class="fl">25</span>, <span class="st">"Streptococcus pneumoniae"</span>, <span class="st">"ampicillin"</span><span class="op">)</span> <span class="co"># range 12-27</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'disk'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 24 22 18 26 22 20 27 27 20 18 24 26 25 20 20 25 19 19 25 20 18 25 16 20 17</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 17 15 25 23 16 23 16 27 26 20 17 16 22 22 27 18 24 17 26 25 27 21 16 27 18</span>
<span class="r-in"><span><span class="co"># }</span></span></span>
</code></pre></div>
</div>
reference/resistance_predict.html
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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@@ -10,7 +10,7 @@
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@@ -12,7 +12,7 @@ When negative ('left-skewed'): the left tail is longer; the mass of the distribu
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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@@ -171,7 +171,7 @@ When negative ('left-skewed'): the left tail is longer; the mass of the distribu
<div class="section level2">
<h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
<div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu">skewness</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/Uniform.html" class="external-link">runif</a></span><span class="op">(</span><span class="fl">1000</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] -0.04732718</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] -0.01115228</span>
</code></pre></div>
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reference/translate.html
+6 -1
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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@@ -218,11 +218,16 @@
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Using German (Deutsch) for the AMR package for this session.</span>
<span class="r-in"><span><span class="fu">set_AMR_locale</span><span class="op">(</span><span class="st">"de"</span><span class="op">)</span></span></span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Using German (Deutsch) for the AMR package for this session.</span>
<span class="r-in"><span><span class="fu"><a href="ab_property.html">ab_name</a></span><span class="op">(</span><span class="st">"amoxi/clav"</span><span class="op">)</span></span></span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>More than one result was found for item 1: amoxicillin and clavulansäure</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] "Amoxicillin/Clavulansäure"</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="co"># reset to system default</span></span></span>
<span class="r-in"><span><span class="fu">reset_AMR_locale</span><span class="op">(</span><span class="op">)</span></span></span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Using the English language (English) for the AMR package for this</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> session.</span>
<span class="r-in"><span><span class="fu"><a href="ab_property.html">ab_name</a></span><span class="op">(</span><span class="st">"amoxi/clav"</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] "Amoxicillin/clavulanic acid"</span>
</code></pre></div>
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search.json
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[{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"How to conduct AMR data analysis","text":"Conducting AMR data analysis unfortunately requires -depth knowledge different scientific fields, makes hard right. least, requires: Good questions (always start !) thorough understanding (clinical) epidemiology, understand clinical epidemiological relevance possible bias results thorough understanding (clinical) microbiology/infectious diseases, understand microorganisms causal infections implications pharmaceutical treatment, well understanding intrinsic acquired microbial resistance Experience data analysis microbiological tests results, understand determination limitations MIC values interpretations RSI values Availability biological taxonomy microorganisms probably normalisation factors pharmaceuticals, defined daily doses (DDD) Available (inter-)national guidelines, profound methods apply course, instantly provide knowledge experience. AMR package, aimed providing (1) tools simplify antimicrobial resistance data cleaning, transformation analysis, (2) methods easily incorporate international guidelines (3) scientifically reliable reference data, including requirements mentioned . AMR package enables standardised reproducible AMR data analysis, application evidence-based rules, determination first isolates, translation various codes microorganisms antimicrobial agents, determination (multi-drug) resistant microorganisms, calculation antimicrobial resistance, prevalence future trends.","code":""},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"preparation","dir":"Articles","previous_headings":"","what":"Preparation","title":"How to conduct AMR data analysis","text":"tutorial, create fake demonstration data work . can skip Cleaning data already data ready. start analysis, try make structure data generally look like :","code":""},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"needed-r-packages","dir":"Articles","previous_headings":"Preparation","what":"Needed R packages","title":"How to conduct AMR data analysis","text":"many uses R, need additional packages AMR data analysis. package works closely together tidyverse packages dplyr ggplot2 RStudio. tidyverse tremendously improves way conduct data science - allows natural way writing syntaxes creating beautiful plots R. also use cleaner package, can used cleaning data creating frequency tables.","code":"library(dplyr) library(ggplot2) library(AMR) library(cleaner) # (if not yet installed, install with:) # install.packages(c(\"dplyr\", \"ggplot2\", \"AMR\", \"cleaner\"))"},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"creation-of-data","dir":"Articles","previous_headings":"","what":"Creation of data","title":"How to conduct AMR data analysis","text":"create fake example data use analysis. AMR data analysis, need least: patient ID, name code microorganism, date antimicrobial results (antibiogram). also include specimen type (e.g. filter blood urine), ward type (e.g. filter ICUs). additional columns (like hospital name, patients gender even [well-defined] clinical properties) can comparative analysis, tutorial demonstrate .","code":""},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"patients","dir":"Articles","previous_headings":"Creation of data","what":"Patients","title":"How to conduct AMR data analysis","text":"start patients, need unique list patients. LETTERS object available R - ’s vector 26 characters: Z. patients object just created now vector length 260, values (patient IDs) varying A1 Z10. Now also set gender patients, putting ID gender table: first 135 patient IDs now male, 125 female.","code":"patients <- unlist(lapply(LETTERS, paste0, 1:10)) patients_table <- data.frame( patient_id = patients, gender = c( rep(\"M\", 135), rep(\"F\", 125) ) )"},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"dates","dir":"Articles","previous_headings":"Creation of data","what":"Dates","title":"How to conduct AMR data analysis","text":"Let’s pretend data consists blood cultures isolates 1 January 2010 1 January 2018. dates object now contains days date range.","code":"dates <- seq(as.Date(\"2010-01-01\"), as.Date(\"2018-01-01\"), by = \"day\")"},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"microorganisms","dir":"Articles","previous_headings":"Creation of data > Dates","what":"Microorganisms","title":"How to conduct AMR data analysis","text":"tutorial, uses four different microorganisms: Escherichia coli, Staphylococcus aureus, Streptococcus pneumoniae, Klebsiella pneumoniae:","code":"bacteria <- c( \"Escherichia coli\", \"Staphylococcus aureus\", \"Streptococcus pneumoniae\", \"Klebsiella pneumoniae\" )"},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"put-everything-together","dir":"Articles","previous_headings":"CreatLine truncated
[{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"How to conduct AMR data analysis","text":"Conducting AMR data analysis unfortunately requires -depth knowledge different scientific fields, makes hard right. least, requires: Good questions (always start !) thorough understanding (clinical) epidemiology, understand clinical epidemiological relevance possible bias results thorough understanding (clinical) microbiology/infectious diseases, understand microorganisms causal infections implications pharmaceutical treatment, well understanding intrinsic acquired microbial resistance Experience data analysis microbiological tests results, understand determination limitations MIC values interpretations RSI values Availability biological taxonomy microorganisms probably normalisation factors pharmaceuticals, defined daily doses (DDD) Available (inter-)national guidelines, profound methods apply course, instantly provide knowledge experience. AMR package, aimed providing (1) tools simplify antimicrobial resistance data cleaning, transformation analysis, (2) methods easily incorporate international guidelines (3) scientifically reliable reference data, including requirements mentioned . AMR package enables standardised reproducible AMR data analysis, application evidence-based rules, determination first isolates, translation various codes microorganisms antimicrobial agents, determination (multi-drug) resistant microorganisms, calculation antimicrobial resistance, prevalence future trends.","code":""},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"preparation","dir":"Articles","previous_headings":"","what":"Preparation","title":"How to conduct AMR data analysis","text":"tutorial, create fake demonstration data work . can skip Cleaning data already data ready. start analysis, try make structure data generally look like :","code":""},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"needed-r-packages","dir":"Articles","previous_headings":"Preparation","what":"Needed R packages","title":"How to conduct AMR data analysis","text":"many uses R, need additional packages AMR data analysis. package works closely together tidyverse packages dplyr ggplot2 RStudio. tidyverse tremendously improves way conduct data science - allows natural way writing syntaxes creating beautiful plots R. also use cleaner package, can used cleaning data creating frequency tables.","code":"library(dplyr) library(ggplot2) library(AMR) library(cleaner) # (if not yet installed, install with:) # install.packages(c(\"dplyr\", \"ggplot2\", \"AMR\", \"cleaner\"))"},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"creation-of-data","dir":"Articles","previous_headings":"","what":"Creation of data","title":"How to conduct AMR data analysis","text":"create fake example data use analysis. AMR data analysis, need least: patient ID, name code microorganism, date antimicrobial results (antibiogram). also include specimen type (e.g. filter blood urine), ward type (e.g. filter ICUs). additional columns (like hospital name, patients gender even [well-defined] clinical properties) can comparative analysis, tutorial demonstrate .","code":""},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"patients","dir":"Articles","previous_headings":"Creation of data","what":"Patients","title":"How to conduct AMR data analysis","text":"start patients, need unique list patients. LETTERS object available R - ’s vector 26 characters: Z. patients object just created now vector length 260, values (patient IDs) varying A1 Z10. Now also set gender patients, putting ID gender table: first 135 patient IDs now male, 125 female.","code":"patients <- unlist(lapply(LETTERS, paste0, 1:10)) patients_table <- data.frame( patient_id = patients, gender = c( rep(\"M\", 135), rep(\"F\", 125) ) )"},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"dates","dir":"Articles","previous_headings":"Creation of data","what":"Dates","title":"How to conduct AMR data analysis","text":"Let’s pretend data consists blood cultures isolates 1 January 2010 1 January 2018. dates object now contains days date range.","code":"dates <- seq(as.Date(\"2010-01-01\"), as.Date(\"2018-01-01\"), by = \"day\")"},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"microorganisms","dir":"Articles","previous_headings":"Creation of data > Dates","what":"Microorganisms","title":"How to conduct AMR data analysis","text":"tutorial, uses four different microorganisms: Escherichia coli, Staphylococcus aureus, Streptococcus pneumoniae, Klebsiella pneumoniae:","code":"bacteria <- c( \"Escherichia coli\", \"Staphylococcus aureus\", \"Streptococcus pneumoniae\", \"Klebsiella pneumoniae\" )"},{"path":"https://msberends.github.io/AMR/articles/AMR.html","id":"put-everything-together","dir":"Articles","previous_headings":"CreatLine truncated