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@@ -395,21 +395,43 @@ data set:</p>
</tr></thead>
<tbody>
<tr class="odd">
<td align="center">2017-08-16</td>
<td align="center">S1</td>
<td align="center">2012-03-28</td>
<td align="center">G1</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>
<tr class="even">
<td align="center">2010-09-12</td>
<td align="center">E1</td>
<td align="center">Hospital A</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">S</td>
<td align="center">M</td>
</tr>
<tr class="odd">
<td align="center">2015-07-10</td>
<td align="center">N9</td>
<td align="center">Hospital D</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">F</td>
</tr>
<tr class="even">
<td align="center">2014-12-04</td>
<td align="center">J1</td>
<td align="center">2016-02-13</td>
<td align="center">B8</td>
<td align="center">Hospital B</td>
<td align="center">Escherichia coli</td>
<td align="center">Staphylococcus aureus</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">S</td>
@@ -417,48 +439,26 @@ data set:</p>
<td align="center">M</td>
</tr>
<tr class="odd">
<td align="center">2012-07-21</td>
<td align="center">R6</td>
<td align="center">Hospital C</td>
<td align="center">Escherichia coli</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">2012-11-26</td>
<td align="center">K8</td>
<td align="center">2016-12-26</td>
<td align="center">X3</td>
<td align="center">Hospital A</td>
<td align="center">Staphylococcus aureus</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="odd">
<td align="center">2011-07-23</td>
<td align="center">Z2</td>
<td align="center">Hospital B</td>
<td align="center">Escherichia coli</td>
<td align="center">R</td>
<td align="center">R</td>
<td align="center">I</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">F</td>
</tr>
<tr class="even">
<td align="center">2016-05-31</td>
<td align="center">S7</td>
<td align="center">2014-04-05</td>
<td align="center">K5</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">S</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">F</td>
<td align="center">M</td>
</tr>
</tbody>
</table>
@@ -494,16 +494,16 @@ Longest: 1</p>
<tr class="odd">
<td align="left">1</td>
<td align="left">M</td>
<td align="right">10,563</td>
<td align="right">52.82%</td>
<td align="right">10,563</td>
<td align="right">52.82%</td>
<td align="right">10,517</td>
<td align="right">52.59%</td>
<td align="right">10,517</td>
<td align="right">52.59%</td>
</tr>
<tr class="even">
<td align="left">2</td>
<td align="left">F</td>
<td align="right">9,437</td>
<td align="right">47.19%</td>
<td align="right">9,483</td>
<td align="right">47.42%</td>
<td align="right">20,000</td>
<td align="right">100.00%</td>
</tr>
@@ -616,10 +616,10 @@ 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 10,633 'phenotype-based' first isolates (53.2% of total where a</span></span>
<span><span class="co"># =&gt; Found 10,603 'phenotype-based' first isolates (53.0% 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
on it with the <code><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter()</a></code> function, also from the
<p>So only 53% 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">
<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>
@@ -629,7 +629,7 @@ 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 10,633 isolates for analysis. Now our data looks
<p>So we end up with 10,603 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>
@@ -646,8 +646,8 @@ like:</p>
<col width="3%">
<col width="6%">
<col width="11%">
<col width="12%">
<col width="7%">
<col width="10%">
<col width="9%">
<col width="5%">
</colgroup>
<thead><tr class="header">
@@ -669,92 +669,60 @@ like:</p>
<tbody>
<tr class="odd">
<td align="left">3</td>
<td align="center">2012-07-21</td>
<td align="center">R6</td>
<td align="center">Hospital C</td>
<td align="center">B_ESCHR_COLI</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-negative</td>
<td align="center">Escherichia</td>
<td align="center">coli</td>
<td align="center">TRUE</td>
</tr>
<tr class="even">
<td align="left">4</td>
<td align="center">2012-11-26</td>
<td align="center">K8</td>
<td align="center">Hospital A</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">S</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="odd">
<td align="left">5</td>
<td align="center">2011-07-23</td>
<td align="center">Z2</td>
<td align="center">Hospital B</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">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">6</td>
<td align="center">2016-05-31</td>
<td align="center">S7</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">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">TRUE</td>
</tr>
<tr class="odd">
<td align="left">7</td>
<td align="center">2011-07-29</td>
<td align="center">C9</td>
<td align="center">Hospital B</td>
<td align="center">B_STPHY_AURS</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">S</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="left">14</td>
<td align="center">2016-07-22</td>
<td align="center">N8</td>
<td align="center">2015-07-10</td>
<td align="center">N9</td>
<td align="center">Hospital D</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">Klebsiella</td>
<td align="center">pneumoniae</td>
<td align="center">TRUE</td>
</tr>
<tr class="even">
<td align="left">8</td>
<td align="center">2013-12-26</td>
<td align="center">K2</td>
<td align="center">Hospital D</td>
<td align="center">B_KLBSL_PNMN</td>
<td align="center">R</td>
<td align="center">I</td>
<td align="center">S</td>
<td align="center">S</td>
<td align="center">M</td>
<td align="center">Gram-negative</td>
<td align="center">Klebsiella</td>
<td align="center">pneumoniae</td>
<td align="center">TRUE</td>
</tr>
<tr class="odd">
<td align="left">11</td>
<td align="center">2017-12-04</td>
<td align="center">B10</td>
<td align="center">Hospital B</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">S</td>
<td align="center">S</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">12</td>
<td align="center">2010-03-06</td>
<td align="center">X9</td>
<td align="center">Hospital A</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">S</td>
<td align="center">F</td>
@@ -763,6 +731,38 @@ like:</p>
<td align="center">coli</td>
<td align="center">TRUE</td>
</tr>
<tr class="odd">
<td align="left">14</td>
<td align="center">2017-11-16</td>
<td align="center">K5</td>
<td align="center">Hospital B</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">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">15</td>
<td align="center">2012-05-28</td>
<td align="center">X4</td>
<td align="center">Hospital B</td>
<td align="center">B_KLBSL_PNMN</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">R</td>
<td align="center">F</td>
<td align="center">Gram-negative</td>
<td align="center">Klebsiella</td>
<td align="center">pneumoniae</td>
<td align="center">TRUE</td>
</tr>
</tbody>
</table>
<p>Time for the analysis!</p>
@@ -796,8 +796,8 @@ 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: 10,633<br>
Available: 10,633 (100%, NA: 0 = 0%)<br>
Length: 10,603<br>
Available: 10,603 (100%, NA: 0 = 0%)<br>
Unique: 4</p>
<p>Shortest: 16<br>
Longest: 24</p>
@@ -822,33 +822,33 @@ Longest: 24</p>
<tr class="odd">
<td align="left">1</td>
<td align="left">Escherichia coli</td>
<td align="right">4,624</td>
<td align="right">43.49%</td>
<td align="right">4,624</td>
<td align="right">43.49%</td>
<td align="right">4,605</td>
<td align="right">43.43%</td>
<td align="right">4,605</td>
<td align="right">43.43%</td>
</tr>
<tr class="even">
<td align="left">2</td>
<td align="left">Staphylococcus aureus</td>
<td align="right">2,730</td>
<td align="right">25.67%</td>
<td align="right">7,354</td>
<td align="right">69.16%</td>
<td align="right">2,704</td>
<td align="right">25.50%</td>
<td align="right">7,309</td>
<td align="right">68.93%</td>
</tr>
<tr class="odd">
<td align="left">3</td>
<td align="left">Streptococcus pneumoniae</td>
<td align="right">2,082</td>
<td align="right">19.58%</td>
<td align="right">9,436</td>
<td align="right">88.74%</td>
<td align="right">2,080</td>
<td align="right">19.62%</td>
<td align="right">9,389</td>
<td align="right">88.55%</td>
</tr>
<tr class="even">
<td align="left">4</td>
<td align="left">Klebsiella pneumoniae</td>
<td align="right">1,197</td>
<td align="right">11.26%</td>
<td align="right">10,633</td>
<td align="right">1,214</td>
<td align="right">11.45%</td>
<td align="right">10,603</td>
<td align="right">100.00%</td>
</tr>
</tbody>
@@ -869,14 +869,14 @@ antibiotic class they are in:</p>
<col width="9%">
<col width="9%">
<col width="9%">
<col width="11%">
<col width="10%">
<col width="3%">
<col width="3%">
<col width="3%">
<col width="3%">
<col width="6%">
<col width="11%">
<col width="11%">
<col width="12%">
<col width="9%">
<col width="5%">
</colgroup>
@@ -897,92 +897,92 @@ antibiotic class they are in:</p>
</tr></thead>
<tbody>
<tr class="odd">
<td align="center">2012-12-19</td>
<td align="center">S3</td>
<td align="center">Hospital A</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">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">2013-04-29</td>
<td align="center">E8</td>
<td align="center">Hospital D</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">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">2014-11-08</td>
<td align="center">R2</td>
<td align="center">2012-05-28</td>
<td align="center">X4</td>
<td align="center">Hospital B</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">2012-09-13</td>
<td align="center">W3</td>
<td align="center">Hospital B</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">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">2017-11-23</td>
<td align="center">F9</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">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="even">
<td align="center">2014-07-26</td>
<td align="center">R5</td>
<td align="center">Hospital C</td>
<td align="center">B_KLBSL_PNMN</td>
<td align="center">R</td>
<td align="center">S</td>
<td align="center">R</td>
<td align="center">R</td>
<td align="center">F</td>
<td align="center">Gram-negative</td>
<td align="center">Klebsiella</td>
<td align="center">pneumoniae</td>
<td align="center">TRUE</td>
</tr>
<tr class="even">
<td align="center">2013-02-21</td>
<td align="center">Q4</td>
<td align="center">Hospital A</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">F</td>
<td align="center">Gram-negative</td>
<td align="center">Klebsiella</td>
<td align="center">Escherichia</td>
<td align="center">coli</td>
<td align="center">TRUE</td>
</tr>
<tr class="odd">
<td align="center">2014-12-17</td>
<td align="center">V4</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">R</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>
<tr class="even">
<td align="center">2012-01-20</td>
<td align="center">E6</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">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="odd">
<td align="center">2014-01-15</td>
<td align="center">Y1</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">R</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>
<tr class="even">
<td align="center">2015-02-24</td>
<td align="center">I1</td>
<td align="center">Hospital A</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">M</td>
<td align="center">Gram-positive</td>
<td align="center">Streptococcus</td>
<td align="center">pneumoniae</td>
<td align="center">TRUE</td>
</tr>
@@ -1009,50 +1009,50 @@ 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">2175</td>
<td align="center">124</td>
<td align="center">2325</td>
<td align="center">4624</td>
<td align="center">2153</td>
<td align="center">133</td>
<td align="center">2319</td>
<td align="center">4605</td>
</tr>
<tr class="even">
<td align="center">E. coli</td>
<td align="center">AMC</td>
<td align="center">3402</td>
<td align="center">145</td>
<td align="center">1077</td>
<td align="center">4624</td>
<td align="center">3353</td>
<td align="center">146</td>
<td align="center">1106</td>
<td align="center">4605</td>
</tr>
<tr class="odd">
<td align="center">E. coli</td>
<td align="center">CIP</td>
<td align="center">3385</td>
<td align="center">3357</td>
<td align="center">0</td>
<td align="center">1239</td>
<td align="center">4624</td>
<td align="center">1248</td>
<td align="center">4605</td>
</tr>
<tr class="even">
<td align="center">E. coli</td>
<td align="center">GEN</td>
<td align="center">4046</td>
<td align="center">4032</td>
<td align="center">0</td>
<td align="center">578</td>
<td align="center">4624</td>
<td align="center">573</td>
<td align="center">4605</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">1197</td>
<td align="center">1197</td>
<td align="center">1214</td>
<td align="center">1214</td>
</tr>
<tr class="even">
<td align="center">K. pneumoniae</td>
<td align="center">AMC</td>
<td align="center">922</td>
<td align="center">67</td>
<td align="center">208</td>
<td align="center">1197</td>
<td align="center">938</td>
<td align="center">48</td>
<td align="center">228</td>
<td align="center">1214</td>
</tr>
</tbody>
</table>
@@ -1075,34 +1075,34 @@ 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">4046</td>
<td align="center">4032</td>
<td align="center">0</td>
<td align="center">578</td>
<td align="center">4624</td>
<td align="center">573</td>
<td align="center">4605</td>
</tr>
<tr class="even">
<td align="center">K. pneumoniae</td>
<td align="center">GEN</td>
<td align="center">1060</td>
<td align="center">1077</td>
<td align="center">0</td>
<td align="center">137</td>
<td align="center">1197</td>
<td align="center">1214</td>
</tr>
<tr class="odd">
<td align="center">S. aureus</td>
<td align="center">GEN</td>
<td align="center">2411</td>
<td align="center">2407</td>
<td align="center">0</td>
<td align="center">319</td>
<td align="center">2730</td>
<td align="center">297</td>
<td align="center">2704</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">2082</td>
<td align="center">2082</td>
<td align="center">2080</td>
<td align="center">2080</td>
</tr>
</tbody>
</table>
@@ -1134,7 +1134,7 @@ I (<code><a href="../reference/proportion.html">proportion_SI()</a></code>, equa
own:</p>
<div class="sourceCode" id="cb26"><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] 0.5444371</span></span></code></pre></div>
<span><span class="co"># [1] 0.5472036</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="cb27"><pre class="downlit sourceCode r">
@@ -1149,19 +1149,19 @@ own:</p>
<tbody>
<tr class="odd">
<td align="center">Hospital A</td>
<td align="center">0.5425466</td>
<td align="center">0.5600486</td>
</tr>
<tr class="even">
<td align="center">Hospital B</td>
<td align="center">0.5360493</td>
<td align="center">0.5391692</td>
</tr>
<tr class="odd">
<td align="center">Hospital C</td>
<td align="center">0.5492327</td>
<td align="center">0.5552826</td>
</tr>
<tr class="even">
<td align="center">Hospital D</td>
<td align="center">0.5585458</td>
<td align="center">0.5345403</td>
</tr>
</tbody>
</table>
@@ -1186,23 +1186,23 @@ 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">0.5425466</td>
<td align="center">3220</td>
<td align="center">0.5600486</td>
<td align="center">3289</td>
</tr>
<tr class="even">
<td align="center">Hospital B</td>
<td align="center">0.5360493</td>
<td align="center">3731</td>
<td align="center">0.5391692</td>
<td align="center">3587</td>
</tr>
<tr class="odd">
<td align="center">Hospital C</td>
<td align="center">0.5492327</td>
<td align="center">1564</td>
<td align="center">0.5552826</td>
<td align="center">1628</td>
</tr>
<tr class="even">
<td align="center">Hospital D</td>
<td align="center">0.5585458</td>
<td align="center">2118</td>
<td align="center">0.5345403</td>
<td align="center">2099</td>
</tr>
</tbody>
</table>
@@ -1227,27 +1227,27 @@ therapies very easily:</p>
<tbody>
<tr class="odd">
<td align="center">Escherichia</td>
<td align="center">0.7670848</td>
<td align="center">0.8750000</td>
<td align="center">0.9764273</td>
<td align="center">0.7598263</td>
<td align="center">0.8755700</td>
<td align="center">0.9774159</td>
</tr>
<tr class="even">
<td align="center">Klebsiella</td>
<td align="center">0.8262322</td>
<td align="center">0.8855472</td>
<td align="center">0.9791145</td>
<td align="center">0.8121911</td>
<td align="center">0.8871499</td>
<td align="center">0.9728171</td>
</tr>
<tr class="odd">
<td align="center">Staphylococcus</td>
<td align="center">0.7908425</td>
<td align="center">0.8831502</td>
<td align="center">0.9754579</td>
<td align="center">0.7917899</td>
<td align="center">0.8901627</td>
<td align="center">0.9822485</td>
</tr>
<tr class="even">
<td align="center">Streptococcus</td>
<td align="center">0.5317003</td>
<td align="center">0.5423077</td>
<td align="center">0.0000000</td>
<td align="center">0.5317003</td>
<td align="center">0.5423077</td>
</tr>
</tbody>
</table>
@@ -1275,23 +1275,23 @@ classes, use a antibiotic class selector such as
<tbody>
<tr class="odd">
<td align="left">Hospital A</td>
<td align="right">54.3%</td>
<td align="right">25.2%</td>
<td align="right">56.0%</td>
<td align="right">28.0%</td>
</tr>
<tr class="even">
<td align="left">Hospital B</td>
<td align="right">53.6%</td>
<td align="right">26.7%</td>
<td align="right">53.9%</td>
<td align="right">27.0%</td>
</tr>
<tr class="odd">
<td align="left">Hospital C</td>
<td align="right">54.9%</td>
<td align="right">25.9%</td>
<td align="right">55.5%</td>
<td align="right">25.3%</td>
</tr>
<tr class="even">
<td align="left">Hospital D</td>
<td align="right">55.9%</td>
<td align="right">29.3%</td>
<td align="right">53.5%</td>
<td align="right">26.1%</td>
</tr>
</tbody>
</table>
@@ -1407,16 +1407,18 @@ 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] 0.001 0.5 0.002 4 0.025 8 4 32 0.025 32 </span></span>
<span><span class="co"># [11] &gt;=256 0.001 0.5 0.5 0.002 0.002 0.025 16 1 0.025 </span></span>
<span><span class="co"># [21] &gt;=256 0.0625 0.002 0.5 0.0625 4 1 0.001 16 &gt;=256 </span></span>
<span><span class="co"># [31] 0.005 0.002 0.002 &gt;=256 0.005 0.025 0.5 8 0.125 0.125 </span></span>
<span><span class="co"># [41] 0.005 0.005 &gt;=256 4 0.005 0.001 0.025 0.01 0.01 128 </span></span>
<span><span class="co"># [51] 0.001 0.5 0.005 32 64 8 0.005 8 0.001 32 </span></span>
<span><span class="co"># [61] 0.5 128 0.001 2 32 0.125 16 16 8 0.002 </span></span>
<span><span class="co"># [71] 0.25 4 0.25 128 0.002 0.5 0.25 0.025 0.025 4 </span></span>
<span><span class="co"># [81] &gt;=256 8 0.002 1 0.001 64 0.25 0.5 0.005 16 </span></span>
<span><span class="co"># [91] 0.025 0.25 0.025 1 2 2 &gt;=256 1 0.5 0.125</span></span></code></pre></div>
<span><span class="co"># [1] 32 &lt;=0.001 16 16 0.5 0.5 0.0625 4 0.25 </span></span>
<span><span class="co"># [10] 0.01 128 256 0.01 &lt;=0.001 0.25 0.25 128 256 </span></span>
<span><span class="co"># [19] 8 64 256 256 1 32 0.0625 0.005 4 </span></span>
<span><span class="co"># [28] 0.005 0.125 0.025 0.125 8 64 &lt;=0.001 0.5 0.025 </span></span>
<span><span class="co"># [37] 0.002 0.5 0.002 4 &lt;=0.001 0.25 1 0.125 4 </span></span>
<span><span class="co"># [46] 128 256 0.01 0.002 0.01 32 32 0.005 4 </span></span>
<span><span class="co"># [55] 0.0625 256 0.25 2 32 0.01 &lt;=0.001 4 0.5 </span></span>
<span><span class="co"># [64] 8 0.125 0.005 &lt;=0.001 64 1 0.5 16 1 </span></span>
<span><span class="co"># [73] 2 0.005 0.25 64 32 16 &lt;=0.001 128 0.025 </span></span>
<span><span class="co"># [82] 4 256 16 0.125 2 0.005 &lt;=0.001 0.0625 0.005 </span></span>
<span><span class="co"># [91] 0.5 2 128 0.5 2 16 0.002 &lt;=0.001 0.125 </span></span>
<span><span class="co"># [100] 0.002</span></span></code></pre></div>
<div class="sourceCode" id="cb37"><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>
@@ -1450,10 +1452,10 @@ 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 31 30 24 26 25 23 24 17 22 30 27 20 19 24 21 21 20 21 26 22 24 18 30 17</span></span>
<span><span class="co"># [26] 28 30 22 27 27 31 19 24 27 23 18 30 21 20 18 19 21 26 18 18 20 17 27 30 25</span></span>
<span><span class="co"># [51] 31 21 23 23 27 19 24 30 25 22 31 19 26 26 24 27 19 17 25 20 28 28 26 24 19</span></span>
<span><span class="co"># [76] 22 18 30 23 27 27 21 28 21 24 23 17 23 20 24 31 17 21 17 19 26 18 29 20 25</span></span></code></pre></div>
<span><span class="co"># [1] 20 26 25 18 21 30 25 24 29 29 18 31 24 22 19 21 21 30 18 22 27 20 25 19 28</span></span>
<span><span class="co"># [26] 28 29 26 17 24 20 30 22 30 24 18 25 27 29 29 22 28 18 29 28 21 29 27 19 29</span></span>
<span><span class="co"># [51] 21 17 17 23 26 22 27 30 29 20 26 18 18 17 24 21 23 25 26 17 24 22 18 31 29</span></span>
<span><span class="co"># [76] 29 21 24 27 22 28 26 25 19 17 23 24 28 31 18 30 30 25 22 22 31 25 31 24 26</span></span></code></pre></div>
<div class="sourceCode" id="cb43"><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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+28 -28
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@@ -370,19 +370,19 @@ 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 S R S R R</span></span>
<span><span class="co"># 2 R I R R R I</span></span>
<span><span class="co"># 3 I R S I S R</span></span>
<span><span class="co"># 4 I I I R I S</span></span>
<span><span class="co"># 5 R R S R I S</span></span>
<span><span class="co"># 6 S S R R R I</span></span>
<span><span class="co"># 1 I I I S S R</span></span>
<span><span class="co"># 2 R S S S I I</span></span>
<span><span class="co"># 3 S R R R S R</span></span>
<span><span class="co"># 4 S I R S I I</span></span>
<span><span class="co"># 5 S S S I S R</span></span>
<span><span class="co"># 6 I S R S I I</span></span>
<span><span class="co"># kanamycin</span></span>
<span><span class="co"># 1 I</span></span>
<span><span class="co"># 2 S</span></span>
<span><span class="co"># 3 S</span></span>
<span><span class="co"># 4 S</span></span>
<span><span class="co"># 5 S</span></span>
<span><span class="co"># 6 R</span></span></code></pre></div>
<span><span class="co"># 3 R</span></span>
<span><span class="co"># 4 I</span></span>
<span><span class="co"># 5 R</span></span>
<span><span class="co"># 6 I</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">
@@ -423,40 +423,40 @@ Unique: 5</p>
<tr class="odd">
<td align="left">1</td>
<td align="left">Mono-resistant</td>
<td align="right">3231</td>
<td align="right">64.62%</td>
<td align="right">3231</td>
<td align="right">64.62%</td>
<td align="right">3140</td>
<td align="right">62.80%</td>
<td align="right">3140</td>
<td align="right">62.80%</td>
</tr>
<tr class="even">
<td align="left">2</td>
<td align="left">Negative</td>
<td align="right">961</td>
<td align="right">19.22%</td>
<td align="right">4192</td>
<td align="right">83.84%</td>
<td align="right">1031</td>
<td align="right">20.62%</td>
<td align="right">4171</td>
<td align="right">83.42%</td>
</tr>
<tr class="odd">
<td align="left">3</td>
<td align="left">Multi-drug-resistant</td>
<td align="right">445</td>
<td align="right">8.90%</td>
<td align="right">4637</td>
<td align="right">92.74%</td>
<td align="right">463</td>
<td align="right">9.26%</td>
<td align="right">4634</td>
<td align="right">92.68%</td>
</tr>
<tr class="even">
<td align="left">4</td>
<td align="left">Poly-resistant</td>
<td align="right">250</td>
<td align="right">5.00%</td>
<td align="right">4887</td>
<td align="right">97.74%</td>
<td align="right">252</td>
<td align="right">5.04%</td>
<td align="right">4886</td>
<td align="right">97.72%</td>
</tr>
<tr class="odd">
<td align="left">5</td>
<td align="left">Extensively drug-resistant</td>
<td align="right">113</td>
<td align="right">2.26%</td>
<td align="right">114</td>
<td align="right">2.28%</td>
<td align="right">5000</td>
<td align="right">100.00%</td>
</tr>
articles/datasets.html
+8 -8
View File
@@ -191,7 +191,7 @@ 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 12 November 2022 08:46:26 UTC. Find more info
<p>It was last updated on 29 October 2022 12:15:23 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>
@@ -490,7 +490,7 @@ column names:<br><em>ab</em>, <em>cid</em>, <em>name</em>, <em>group</em>, <em>a
<em>iv_ddd</em>, <em>iv_units</em> and <em>loinc</em>.</p>
<p>This data set is in R available as <code>antibiotics</code>, after
you load the <code>AMR</code> package.</p>
<p>It was last updated on 12 November 2022 08:46:26 UTC. Find more info
<p>It was last updated on 30 October 2022 20:05:46 UTC. Find more info
about the structure of this data set <a href="https://msberends.github.io/AMR/reference/antibiotics.html">here</a>.</p>
<p><strong>Direct download links:</strong></p>
<ul>
@@ -687,7 +687,7 @@ column names:<br><em>atc</em>, <em>cid</em>, <em>name</em>, <em>atc_group</em>,
<em>iv_ddd</em> and <em>iv_units</em>.</p>
<p>This data set is in R available as <code>antivirals</code>, after you
load the <code>AMR</code> package.</p>
<p>It was last updated on 12 November 2022 08:46:26 UTC. Find more info
<p>It was last updated on 27 August 2022 18:49:37 UTC. Find more info
about the structure of this data set <a href="https://msberends.github.io/AMR/reference/antibiotics.html">here</a>.</p>
<p><strong>Direct download links:</strong></p>
<ul>
@@ -847,7 +847,7 @@ column names:<br><em>guideline</em>, <em>method</em>, <em>site</em>, <em>mo</em>
<em>breakpoint_S</em>, <em>breakpoint_R</em> and <em>uti</em>.</p>
<p>This data set is in R available as <code>rsi_translation</code>,
after you load the <code>AMR</code> package.</p>
<p>It was last updated on 12 November 2022 08:46:26 UTC. Find more info
<p>It was last updated on 29 October 2022 17:01:23 UTC. Find more info
about the structure of this data set <a href="https://msberends.github.io/AMR/reference/rsi_translation.html">here</a>.</p>
<p><strong>Direct download links:</strong></p>
<ul>
@@ -1020,7 +1020,7 @@ Resistance<a class="anchor" aria-label="anchor" href="#intrinsic_resistant-intri
column names:<br><em>mo</em> and <em>ab</em>.</p>
<p>This data set is in R available as <code>intrinsic_resistant</code>,
after you load the <code>AMR</code> package.</p>
<p>It was last updated on 12 November 2022 08:46:26 UTC. Find more info
<p>It was last updated on 31 October 2022 10:19:06 UTC. Find more info
about the structure of this data set <a href="https://msberends.github.io/AMR/reference/intrinsic_resistant.html">here</a>.</p>
<p><strong>Direct download links:</strong></p>
<ul>
@@ -1308,7 +1308,7 @@ column names:<br><em>ab</em>, <em>name</em>, <em>type</em>, <em>dose</em>,
<em>original_txt</em> and <em>eucast_version</em>.</p>
<p>This data set is in R available as <code>dosage</code>, after you
load the <code>AMR</code> package.</p>
<p>It was last updated on 12 November 2022 08:46:26 UTC. Find more info
<p>It was last updated on 30 October 2022 20:05:46 UTC. Find more info
about the structure of this data set <a href="https://msberends.github.io/AMR/reference/dosage.html">here</a>.</p>
<p><strong>Direct download links:</strong></p>
<ul>
@@ -1458,7 +1458,7 @@ column names:<br><em>date</em>, <em>patient</em>, <em>age</em>, <em>gender</em>,
<em>MUP</em> and <em>RIF</em>.</p>
<p>This data set is in R available as <code>example_isolates</code>,
after you load the <code>AMR</code> package.</p>
<p>It was last updated on 12 November 2022 08:46:26 UTC. Find more info
<p>It was last updated on 27 August 2022 18:49:37 UTC. Find more info
about the structure of this data set <a href="https://msberends.github.io/AMR/reference/example_isolates.html">here</a>.</p>
<div class="section level3">
<h3 id="source-6">Source<a class="anchor" aria-label="anchor" href="#source-6"></a>
@@ -1871,7 +1871,7 @@ column names:<br><em>patient_id</em>, <em>hospital</em>, <em>date</em>,
<p>This data set is in R available as
<code>example_isolates_unclean</code>, after you load the
<code>AMR</code> package.</p>
<p>It was last updated on 12 November 2022 08:46:26 UTC. Find more info
<p>It was last updated on 27 August 2022 18:49:37 UTC. Find more info
about the structure of this data set <a href="https://msberends.github.io/AMR/reference/example_isolates_unclean.html">here</a>.</p>
<div class="section level3">
<h3 id="source-7">Source<a class="anchor" aria-label="anchor" href="#source-7"></a>
pkgdown.yml
+1 -1
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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: 2022-11-12T08:48Z
last_built: 2022-11-12T11:14Z
urls:
reference: https://msberends.github.io/AMR/reference
article: https://msberends.github.io/AMR/articles
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reference/age.html
+10 -10
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@@ -190,16 +190,16 @@
<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 1984-06-05 38 38.43836 15</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 1940-05-20 82 82.48219 59</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 1961-12-07 60 60.93151 38</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 1967-12-24 54 54.88493 32</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 1992-10-19 30 30.06575 7</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 1950-01-21 72 72.80822 49</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 1935-09-14 87 87.16164 64</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 1981-08-01 41 41.28219 18</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 1932-09-05 90 90.18630 67</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 1954-05-16 68 68.49315 45</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 1953-11-27 68 68.95890 46</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 1960-04-11 62 62.58904 39</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 1973-06-04 49 49.44110 26</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 1977-12-02 44 44.94521 22</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 1970-05-13 52 52.50137 29</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 1976-05-14 46 46.49863 23</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 1962-08-03 60 60.27671 37</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 1939-08-15 83 83.24384 60</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 1984-10-15 38 38.07671 15</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 1932-12-30 89 89.86849 67</span>
</code></pre></div>
</div>
</main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
reference/as.rsi.html
+10 -10
View File
@@ -496,16 +496,16 @@ 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 × 13</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> datetime index ab_input ab_consid…¹ mo_in…² mo_conside…³ guide…⁴</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> 2022-11-12 <span style="color: #949494;">08:49:16</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> 2022-11-12 <span style="color: #949494;">08:49:16</span> 1 AMP AMP Escher… B_ESCHR_COLI EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 2022-11-12 <span style="color: #949494;">08:49:16</span> 1 CIP CIP Escher… B_ESCHR_COLI EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 2022-11-12 <span style="color: #949494;">08:49:17</span> 1 GEN GEN Escher… B_ESCHR_COLI EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 2022-11-12 <span style="color: #949494;">08:49:17</span> 1 TOB TOB Escher… B_ESCHR_COLI EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 2022-11-12 <span style="color: #949494;">08:49:17</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> 2022-11-12 <span style="color: #949494;">08:49:18</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> 2022-11-12 <span style="color: #949494;">08:49:18</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> 2022-11-12 <span style="color: #949494;">08:49:18</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> 2022-11-12 <span style="color: #949494;">08:49:18</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> 2022-11-12 <span style="color: #949494;">11:14:27</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> 2022-11-12 <span style="color: #949494;">11:14:27</span> 1 AMP AMP Escher… B_ESCHR_COLI EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 2022-11-12 <span style="color: #949494;">11:14:28</span> 1 CIP CIP Escher… B_ESCHR_COLI EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 2022-11-12 <span style="color: #949494;">11:14:28</span> 1 GEN GEN Escher… B_ESCHR_COLI EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 2022-11-12 <span style="color: #949494;">11:14:28</span> 1 TOB TOB Escher… B_ESCHR_COLI EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 2022-11-12 <span style="color: #949494;">11:14:29</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> 2022-11-12 <span style="color: #949494;">11:14:29</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> 2022-11-12 <span style="color: #949494;">11:14:29</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> 2022-11-12 <span style="color: #949494;">11:14:30</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> 2022-11-12 <span style="color: #949494;">11:14:30</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, 6 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;"># breakpoint_S &lt;dbl&gt;, breakpoint_R &lt;dbl&gt;, input &lt;dbl&gt;, interpretation &lt;rsi&gt;,</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># and abbreviated variable names ¹​ab_considered, ²​mo_input, ³​mo_considered,</span></span>
reference/get_episode.html
+62 -64
View File
@@ -177,41 +177,39 @@
<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] 45 29 45 57 14 40 18 59 22 11 17 11 1 44 60 54 15 38 11 21 17 55 46 57 34</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [26] 53 5 57 3 28 45 20 15 38 16 60 20 25 24 28 63 10 4 9 19 17 56 34 19 59</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [51] 8 38 62 51 62 7 36 57 14 46 54 58 44 37 59 57 7 6 46 9 10 8 60 54 17</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [76] 21 5 49 50 8 9 39 8 52 20 30 3 14 54 13 36 47 2 59 18 56 18 17 41 61</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [101] 58 22 53 26 43 29 53 42 25 53 61 37 2 1 55 62 61 32 27 39 12 7 62 10 30</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [126] 55 9 18 25 41 7 11 2 58 31 48 56 5 58 5 61 63 20 59 34 15 44 55 60 37</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [151] 5 15 27 14 33 25 38 55 55 60 7 48 2 32 54 12 54 22 51 42 52 36 31 56 45</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [176] 52 11 37 42 1 4 3 43 42 16 52 25 49 52 17 5 23 31 20 21 26 35 45 49 28</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 47 62 48 9 37 56 39 32 57 43 62 17 55 10 54 45 14 28 42 56 60 34 7 29 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [26] 44 55 6 55 36 5 43 8 32 42 31 58 8 33 1 50 27 20 13 2 60 15 59 11 59</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [51] 56 58 6 41 56 47 21 11 42 59 1 24 46 38 30 4 41 11 24 31 53 36 11 9 13</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [76] 51 20 13 40 21 44 22 36 50 23 2 52 18 54 59 25 62 52 59 35 49 41 24 17 62</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [101] 45 3 19 56 16 44 6 53 16 46 47 60 28 1 54 17 27 58 10 29 27 54 43 27 54</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [126] 51 9 55 8 33 22 19 61 47 37 60 62 25 32 49 13 8 46 1 31 8 2 13 5 37</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [151] 12 55 32 25 13 46 19 48 47 61 21 1 1 59 4 8 19 49 40 32 8 60 13 10 27</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [176] 40 38 26 20 4 8 15 22 56 58 16 8 55 14 10 29 12 61 11 48 42 18 46 60 20</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 FALSE TRUE FALSE FALSE FALSE TRUE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [13] FALSE FALSE TRUE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [25] FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [37] FALSE FALSE TRUE TRUE FALSE FALSE TRUE FALSE FALSE FALSE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [49] TRUE TRUE TRUE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [61] FALSE FALSE FALSE FALSE FALSE TRUE FALSE TRUE FALSE FALSE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [73] FALSE FALSE FALSE FALSE TRUE TRUE TRUE FALSE TRUE TRUE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [85] TRUE FALSE TRUE TRUE FALSE TRUE TRUE TRUE FALSE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [97] TRUE FALSE TRUE FALSE FALSE TRUE FALSE FALSE TRUE TRUE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [109] TRUE FALSE FALSE FALSE TRUE FALSE TRUE TRUE FALSE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [121] FALSE TRUE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [133] FALSE TRUE FALSE TRUE FALSE FALSE FALSE FALSE TRUE TRUE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [145] FALSE FALSE TRUE FALSE FALSE FALSE FALSE TRUE TRUE FALSE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [157] FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [169] FALSE FALSE FALSE FALSE TRUE TRUE FALSE FALSE FALSE TRUE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [181] FALSE FALSE FALSE TRUE TRUE FALSE FALSE FALSE TRUE TRUE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [193] FALSE FALSE TRUE TRUE TRUE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] FALSE FALSE TRUE FALSE TRUE FALSE TRUE FALSE TRUE TRUE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [13] FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE TRUE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [25] FALSE TRUE FALSE TRUE TRUE FALSE FALSE FALSE FALSE FALSE TRUE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [37] FALSE FALSE TRUE FALSE TRUE FALSE FALSE FALSE FALSE FALSE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [49] FALSE TRUE FALSE FALSE FALSE FALSE FALSE TRUE TRUE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [61] FALSE FALSE FALSE FALSE TRUE FALSE TRUE FALSE TRUE FALSE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [73] FALSE TRUE FALSE TRUE FALSE FALSE FALSE FALSE FALSE TRUE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [85] TRUE FALSE TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [97] FALSE FALSE FALSE FALSE TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [109] TRUE TRUE FALSE FALSE TRUE FALSE TRUE TRUE TRUE TRUE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [121] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [133] FALSE FALSE FALSE FALSE TRUE FALSE TRUE FALSE FALSE FALSE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [145] FALSE FALSE TRUE FALSE TRUE FALSE TRUE FALSE FALSE TRUE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [157] FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE TRUE TRUE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [169] FALSE FALSE FALSE FALSE FALSE TRUE FALSE TRUE TRUE TRUE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [181] FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [193] FALSE TRUE FALSE FALSE FALSE FALSE TRUE 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: 3 × 46</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 1 × 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> 2002-07-30 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;">2</span> 2002-06-22 FD8039 75 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;">3</span> 2002-07-15 C42193 84 M ICU B_STPHY_HMNS R NA R R </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> 2002-07-23 F35553 51 M ICU B_STPHY_AURS R NA S R </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>
@@ -247,16 +245,16 @@
<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> 255339 2013-07-22 C FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 942999 2009-02-17 C FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 963927 2013-07-04 B FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 7D5503 2016-05-30 B TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 990867 2005-08-16 B FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> C04744 2012-04-10 B FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 14D826 2006-09-14 A FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> B77047 2016-12-03 C FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 005088 2007-08-22 A FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> D65308 2004-11-03 C FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> A97263 2013-11-23 B FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 3D2C93 2017-12-13 A FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 919B60 2013-12-31 B FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> EB1709 2003-12-27 A FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 394307 2011-02-24 A FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 964129 2016-06-17 C FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 13DF24 2011-08-14 C FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 451000 2009-08-29 B FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> C34980 2016-06-28 A TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 4C9760 2012-09-06 A 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>
@@ -268,19 +266,19 @@
<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 [184]</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Groups: ward, patient [177]</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 2013-07-22 255339 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> Clinical 2009-02-17 942999 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> Clinical 2013-07-04 963927 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> Clinical 2016-05-30 7D5503 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> Clinical 2005-08-16 990867 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> Clinical 2012-04-10 C04744 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> Clinical 2006-09-14 14D826 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> ICU 2016-12-03 B77047 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> Clinical 2007-08-22 005088 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> ICU 2004-11-03 D65308 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> Clinical 2013-11-23 A97263 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> ICU 2017-12-13 3D2C93 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> Clinical 2013-12-31 919B60 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> ICU 2003-12-27 EB1709 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> Clinical 2011-02-24 394307 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> Clinical 2016-06-17 964129 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> Clinical 2011-08-14 13DF24 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> Clinical 2009-08-29 451000 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> Clinical 2016-06-28 C34980 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> Clinical 2012-09-06 4C9760 1 TRUE </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>
@@ -295,9 +293,9 @@
<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 120 14 54 74</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> ICU 54 13 37 46</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> Outpatient 10 7 10 10</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> Clinical 105 15 51 69</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> ICU 60 12 36 45</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> Outpatient 12 6 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>
@@ -327,19 +325,19 @@
<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 [194]</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Groups: patient, mo, ward [188]</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> 255339 B_ESCHR_COLI Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 942999 B_STRPT_PNMN Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 963927 B_STRPT_PNMN Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 7D5503 B_STPHY_AURS Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 990867 B_STPHY_AURS Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> C04744 B_STRPT_EQNS Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 14D826 B_STPHY_CONS Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> B77047 B_STPHY_AURS ICU TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 005088 B_SLMNL_ENTR Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> D65308 B_STPHY_EPDR ICU TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> A97263 B_KLBSL_PNMN Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 3D2C93 B_STPHY_EPDR ICU TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 919B60 B_STPHY_AURS Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> EB1709 B_STRPT_PNMN ICU TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 394307 B_STPHY_AURS Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 964129 B_SERRT_MRCS Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 13DF24 B_STPHY_CONS Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 451000 B_STPHY_CONS Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> C34980 B_STRPT_PYGN Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 4C9760 B_ESCHR_COLI Clinical TRUE </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/kurtosis.html
+2 -2
View File
@@ -167,9 +167,9 @@
<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] 2.969121</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 2.934002</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] 0.03759822</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] -0.03517118</span>
</code></pre></div>
</div>
</main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
reference/mean_amr_distance.html
+39 -39
View File
@@ -195,11 +195,11 @@
<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] 0.0625 32 128 0.01 0.125 8 256 &lt;=0.002 0.005 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [10] 32 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 1 0.005 2 0.125 0.002 0.5 0.0625 0.5 &lt;=0.001</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [10] 0.002 </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] -0.5813297 0.8047503 1.1127681 -0.9885071 -0.4273208 0.4967325</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [7] 1.2667770 -1.3461046 -1.1425160 0.8047503</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 1.04271494 -0.78781830 1.28219266 0.32428178 -1.10439062 0.80323722</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [7] 0.08480407 0.80323722 -1.34386834 -1.10439062</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>
@@ -209,38 +209,38 @@
<span class="r-in"><span> tobr <span class="op">=</span> <span class="fu"><a href="random.html">random_mic</a></span><span class="op">(</span><span class="fl">10</span>, ab <span class="op">=</span> <span class="st">"tobr"</span>, mo <span class="op">=</span> <span class="st">"Escherichia coli"</span><span class="op">)</span></span></span>
<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 &lt;=4 1 8 1</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 B 16 0.5 4 4</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 C 8 0.5 1 1</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 D 16 &lt;=0.125 2 &lt;=0.5</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 E &lt;=4 0.25 2 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 F 8 1 1 4</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 G 16 &lt;=0.125 4 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 H 8 &gt;=2 2 4</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 I &gt;=32 &gt;=2 &gt;=16 &lt;=0.5</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 J &lt;=4 &gt;=2 4 1</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 4 0.5 &lt;=1 4</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 B 8 &gt;=1 2 &gt;=16</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 C &gt;=16 0.5 2 0.5</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 D &gt;=16 0.25 2 &gt;=16</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 E 8 0.25 2 1</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 F 4 0.25 4 1</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 G &gt;=16 0.5 2 1</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 H 4 0.25 2 &gt;=16</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 I 4 0.5 4 8</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 J 8 0.025 4 0.5</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] -0.029889016 0.523024563 -0.540292979 -0.632651576 -0.531264758</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [6] 0.045216758 -0.009037847 0.402397473 0.840490389 -0.067993008</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] -0.54407797 0.54766468 0.06869358 0.48271367 -0.27421097 -0.16444638</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [7] 0.18654471 -0.08832657 0.36434257 -0.57889732</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> 4 D 16 &lt;=0.125 2 &lt;=0.5 -0.632651576</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 C 8 0.5 1 1 -0.540292979</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 E &lt;=4 0.25 2 2 -0.531264758</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 J &lt;=4 &gt;=2 4 1 -0.067993008</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 A &lt;=4 1 8 1 -0.029889016</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 G 16 &lt;=0.125 4 2 -0.009037847</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 F 8 1 1 4 0.045216758</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 H 8 &gt;=2 2 4 0.402397473</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 B 16 0.5 4 4 0.523024563</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 I &gt;=32 &gt;=2 &gt;=16 &lt;=0.5 0.840490389</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 8 0.025 4 0.5 -0.57889732</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 A 4 0.5 &lt;=1 4 -0.54407797</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 E 8 0.25 2 1 -0.27421097</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 F 4 0.25 4 1 -0.16444638</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 H 4 0.25 2 &gt;=16 -0.08832657</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 C &gt;=16 0.5 2 0.5 0.06869358</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 G &gt;=16 0.5 2 1 0.18654471</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 I 4 0.5 4 8 0.36434257</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 D &gt;=16 0.25 2 &gt;=16 0.48271367</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 B 8 &gt;=1 2 &gt;=16 0.54766468</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>
@@ -252,17 +252,17 @@
<span class="r-in"><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-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 0.5 1 1 -0.540292979 0.000000000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 E &lt;=4 0.25 2 2 -0.531264758 0.009028221</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 D 16 &lt;=0.125 2 &lt;=0.5 -0.632651576 0.092358597</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 J &lt;=4 &gt;=2 4 1 -0.067993008 0.472299971</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 A &lt;=4 1 8 1 -0.029889016 0.510403963</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 G 16 &lt;=0.125 4 2 -0.009037847 0.531255132</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 F 8 1 1 4 0.045216758 0.585509737</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 H 8 &gt;=2 2 4 0.402397473 0.942690452</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 B 16 0.5 4 4 0.523024563 1.063317542</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 I &gt;=32 &gt;=2 &gt;=16 &lt;=0.5 0.840490389 1.380783368</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 &gt;=16 0.5 2 0.5 0.06869358 0.0000000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 G &gt;=16 0.5 2 1 0.18654471 0.1178511</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 H 4 0.25 2 &gt;=16 -0.08832657 0.1570202</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 F 4 0.25 4 1 -0.16444638 0.2331400</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 I 4 0.5 4 8 0.36434257 0.2956490</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 E 8 0.25 2 1 -0.27421097 0.3429046</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 D &gt;=16 0.25 2 &gt;=16 0.48271367 0.4140201</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 B 8 &gt;=1 2 &gt;=16 0.54766468 0.4789711</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 A 4 0.5 &lt;=1 4 -0.54407797 0.6127716</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 J 8 0.025 4 0.5 -0.57889732 0.6475909</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>
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reference/random.html
+17 -16
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@@ -178,42 +178,43 @@
<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] 8 &gt;=128 0.025 2 4 0.01 1 1 0.125 0.002 0.005 0.005</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [13] 16 0.001 0.025 2 0.25 0.5 0.025 1 4 32 0.125 8 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [25] 64 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 8 64 1 128 0.25 &lt;=0.001 0.25 0.01 0.025 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [10] 128 &lt;=0.001 128 &gt;=256 2 0.025 8 &gt;=256 0.002 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [19] 1 0.5 0.25 2 &lt;=0.001 1 2 </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] 44 7 42 29 31 9 22 11 14 45 33 7 45 44 6 46 6 14 48 7 41 34 44 6 43</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 7 18 38 42 43 47 45 10 45 24 17 15 24 45 26 23 44 50 45 50 19 28 25 47 11</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] S S S R I S R S I R R I I R R S I R S R R I I S I</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] R S R I I R I R R R I R I I S I I S I R I R 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] 2 0.25 2 0.5 256 2 1 16 0.0625 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [10] 0.005 &lt;=0.001 32 16 256 4 0.005 0.0625 2 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [19] 4 128 1 8 0.0625 0.125 0.0625 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.025 0.001 2 0.5 8 0.01 0.005 32 256 4 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [11] 0.025 0.025 0.025 0.002 0.25 4 1 0.0625 0.025 0.0625</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [21] 2 8 0.002 0.5 16 </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 4 16 0.5 0.5 1 16 16 2 32 16 4 0.5 1 1 1 4 16 1 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [20] 16 8 8 0.5 16 8 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] &gt;=64 32 1 &lt;=0.5 16 1 16 2 1 1 32 2 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [13] &lt;=0.5 2 32 2 8 4 16 32 2 1 4 1 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [25] 8 </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] &gt;=16 &gt;=16 2 &lt;=0.125 &gt;=16 2 1 &lt;=0.125 1 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [10] 8 4 4 0.25 0.5 2 2 4 8 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [19] 0.25 8 1 8 2 0.25 0.25 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.125 &gt;=4 0.5 1 1 0.5 1 0.125 0.125 0.25 0.125 1 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [13] 0.25 0.125 0.5 0.5 0.125 &gt;=4 &gt;=4 2 &gt;=4 0.5 2 1 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [25] 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] 38 45 43 20 45 28 12 21 15 46 35 46 45 25 18 16 47 40 35 36 14 21 24 25 8</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 42 28 19 47 45 39 48 47 43 30 43 37 43 34 16 45 36 22 26 25 11 28 17 11 41</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] 15 13 16 17 17 13 15 17 11 17 16 15 11 13 15 11 11 13 13 11 13 11 15 16 17</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 13 16 12 16 14 12 15 14 12 11 13 16 12 14 16 12 13 12 17 16 11 14 12 13 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 24 17 16 26 16 22 20 26 19 24 15 22 21 23 15 17 21 22 16 21 24 20 17 18</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 25 18 19 19 27 25 18 24 27 23 18 17 16 27 26 15 25 26 24 26 15 17 26 20 16</span>
<span class="r-in"><span><span class="co"># }</span></span></span>
</code></pre></div>
</div>
reference/skewness.html
+1 -1
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@@ -166,7 +166,7 @@ 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] -0.0163956</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.01305892</span>
</code></pre></div>
</div>
</main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
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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