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<img src="../logo.svg" class="logo" alt=""><h1>Mean AMR Distance</h1>
<small class="dont-index">Source: <a href="https://github.com/msberends/AMR/blob/HEAD/R/mean_amr_distance.R" class="external-link"><code>R/mean_amr_distance.R</code></a></small>
<div class="d-none name"><code>mean_amr_distance.Rd</code></div>
</div>
<div class="ref-description section level2">
<p>This function calculates a normalised mean for antimicrobial resistance between multiple observations.</p>
</div>
<div class="section level2">
<h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
<div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">mean_amr_distance</span><span class="op">(</span><span class="va">x</span>, <span class="va">...</span><span class="op">)</span></span>
<span></span>
<span><span class="co"># S3 method for default</span></span>
<span><span class="fu">mean_amr_distance</span><span class="op">(</span><span class="va">x</span>, <span class="va">...</span><span class="op">)</span></span>
<span></span>
<span><span class="co"># S3 method for mic</span></span>
<span><span class="fu">mean_amr_distance</span><span class="op">(</span><span class="va">x</span>, <span class="va">...</span><span class="op">)</span></span>
<span></span>
<span><span class="co"># S3 method for disk</span></span>
<span><span class="fu">mean_amr_distance</span><span class="op">(</span><span class="va">x</span>, <span class="va">...</span><span class="op">)</span></span>
<span></span>
<span><span class="co"># S3 method for rsi</span></span>
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<span><span class="fu">mean_amr_distance</span><span class="op">(</span><span class="va">x</span>, <span class="va">...</span>, combine_SI <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
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<span></span>
<span><span class="co"># S3 method for data.frame</span></span>
<span><span class="fu">mean_amr_distance</span><span class="op">(</span><span class="va">x</span>, <span class="va">...</span>, combine_SI <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
<span></span>
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<span><span class="fu">amr_distance_from_row</span><span class="op">(</span><span class="va">amr_distance</span>, <span class="va">row</span><span class="op">)</span></span></code></pre></div>
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</div>
<div class="section level2">
<h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
<dl><dt>x</dt>
<dd><p>a vector of class <a href="as.rsi.html">rsi</a>, <a href="as.rsi.html">rsi</a> or <a href="as.rsi.html">rsi</a>, or a <a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a> containing columns of any of these classes</p></dd>
<dt>...</dt>
<dd><p>variables to select (supports tidy selection such as <code>column1:column4</code> and <code><a href="https://tidyselect.r-lib.org/reference/language.html" class="external-link">where(is.mic)</a></code>), and can thus also be <a href="antibiotic_class_selectors.html">antibiotic selectors</a></p></dd>
<dt>combine_SI</dt>
<dd><p>a <a href="https://rdrr.io/r/base/logical.html" class="external-link">logical</a> to indicate whether all values of S and I must be merged into one, so the input only consists of S+I vs. R (susceptible vs. resistant), defaults to <code>TRUE</code></p></dd>
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<dt>amr_distance</dt>
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<dd><p>the outcome of <code>mean_amr_distance()</code></p></dd>
<dt>row</dt>
<dd><p>an index, such as a row number</p></dd>
</dl></div>
<div class="section level2">
<h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
<p>The mean AMR distance is a normalised numeric value to compare AMR test results and can help to identify similar isolates, without comparing antibiograms by hand. For common numeric data this distance is equal to <a href="https://en.wikipedia.org/wiki/Standard_score" class="external-link">Z scores</a> (the number of standard deviations from the mean).</p>
<p>MIC values (see <code><a href="as.mic.html">as.mic()</a></code>) are transformed with <code><a href="https://rdrr.io/r/base/Log.html" class="external-link">log2()</a></code> first; their distance is calculated as <code>(log2(x) - mean(log2(x))) / sd(log2(x))</code>.</p>
<p>R/SI values (see <code><a href="as.rsi.html">as.rsi()</a></code>) are transformed using <code>"S"</code> = 1, <code>"I"</code> = 2, and <code>"R"</code> = 3. If <code>combine_SI</code> is <code>TRUE</code> (default), the <code>"I"</code> will be considered to be 1.</p>
<p>For data sets, the mean AMR distance will be calculated per variable, after which the mean of all columns will returned per row (using <code><a href="https://rdrr.io/r/base/colSums.html" class="external-link">rowMeans()</a></code>), see <em>Examples</em>.</p>
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<p>Use <code>amr_distance_from_row()</code> to subtract distances from the distance of one row, see <em>Examples</em>.</p>
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</div>
<div class="section level2">
<h2 id="interpretation">Interpretation<a class="anchor" aria-label="anchor" href="#interpretation"></a></h2>
<p>Isolates with distances less than 0.01 difference from each other should be considered similar. Differences lower than 0.025 should be considered suspicious.</p>
</div>
<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="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>
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<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'mic'</span>
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<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 128 0.002 0.125 0.01 128 0.25 0.005 0.25 &lt;=0.001</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [10] 0.5 </span>
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<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>
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<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 1.61986500 -1.04034961 -0.04633226 -0.65347059 1.61986500 0.12028746</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [7] -0.82009031 0.12028746 -1.20696934 0.28690719</span>
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<span class="r-in"><span></span></span>
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<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>
<span class="r-in"><span> amox <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">"amox"</span>, mo <span class="op">=</span> <span class="st">"Escherichia coli"</span><span class="op">)</span>,</span></span>
<span class="r-in"><span> cipr <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">"cipr"</span>, mo <span class="op">=</span> <span class="st">"Escherichia coli"</span><span class="op">)</span>,</span></span>
<span class="r-in"><span> gent <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">"gent"</span>, mo <span class="op">=</span> <span class="st">"Escherichia coli"</span><span class="op">)</span>,</span></span>
<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>
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<span class="r-in"><span><span class="va">y</span></span></span>
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<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 8 0.125 0.5 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 B 32 0.25 2 4</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 C 16 0.5 0.5 8</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 D 32 1 &gt;=4 4</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 E 8 0.25 2 8</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 F 64 0.0625 1 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 G &lt;=4 0.125 1 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 H 16 0.125 &gt;=4 4</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 I 16 0.5 0.5 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 J 8 &gt;=4 0.25 &lt;=1</span>
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<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> 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>
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<span class="r-out co"><span class="r-pr">#&gt;</span> [1] -0.72781282 0.45495874 0.28152212 0.92036634 0.29609879 -0.06040618</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [7] -0.75419100 0.28709631 -0.23602705 -0.46160524</span>
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<span class="r-in"><span><span class="va">y</span><span class="op">$</span><span class="va">amr_distance</span> <span class="op">&lt;-</span> <span class="fu">mean_amr_distance</span><span class="op">(</span><span class="va">y</span>, <span class="fu">where</span><span class="op">(</span><span class="va">is.mic</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Calculating mean AMR distance based on columns "amox", "cipr", "gent" and</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> "tobr"</span>
<span class="r-in"><span><span class="va">y</span><span class="op">[</span><span class="fu"><a href="https://rdrr.io/r/base/order.html" class="external-link">order</a></span><span class="op">(</span><span class="va">y</span><span class="op">$</span><span class="va">amr_distance</span><span class="op">)</span>, <span class="op">]</span></span></span>
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<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> 7 G &lt;=4 0.125 1 2 -0.75419100</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 A 8 0.125 0.5 2 -0.72781282</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 J 8 &gt;=4 0.25 &lt;=1 -0.46160524</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 I 16 0.5 0.5 2 -0.23602705</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 F 64 0.0625 1 2 -0.06040618</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 C 16 0.5 0.5 8 0.28152212</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 H 16 0.125 &gt;=4 4 0.28709631</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 E 8 0.25 2 8 0.29609879</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 B 32 0.25 2 4 0.45495874</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 D 32 1 &gt;=4 4 0.92036634</span>
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<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>
2022-09-01 15:38:26 +02:00
<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>
<span class="r-in"><span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span></span></span>
<span class="r-in"><span> amr_distance <span class="op">=</span> <span class="fu">mean_amr_distance</span><span class="op">(</span><span class="va">.</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>
2022-10-21 16:31:02 +02:00
<span class="r-in"><span> check_id_C <span class="op">=</span> <span class="fu">amr_distance_from_row</span><span class="op">(</span><span class="va">amr_distance</span>, <span class="va">id</span> <span class="op">==</span> <span class="st">"C"</span><span class="op">)</span></span></span>
2022-09-01 15:38:26 +02:00
<span class="r-in"><span> <span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>
2022-08-30 22:22:19 +02:00
<span class="r-in"><span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/arrange.html" class="external-link">arrange</a></span><span class="op">(</span><span class="va">check_id_C</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="op">}</span></span></span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> 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>
2022-10-29 14:24:08 +02:00
<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 16 0.5 0.5 8 0.28152212 0.000000000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 H 16 0.125 &gt;=4 4 0.28709631 0.005574198</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 E 8 0.25 2 8 0.29609879 0.014576672</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 B 32 0.25 2 4 0.45495874 0.173436622</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 F 64 0.0625 1 2 -0.06040618 0.341928295</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 I 16 0.5 0.5 2 -0.23602705 0.517549170</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 D 32 1 &gt;=4 4 0.92036634 0.638844222</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 J 8 &gt;=4 0.25 &lt;=1 -0.46160524 0.743127361</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 A 8 0.125 0.5 2 -0.72781282 1.009334941</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 G &lt;=4 0.125 1 2 -0.75419100 1.035713113</span>
2022-08-30 22:22:19 +02:00
<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>
<span class="r-in"><span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter</a></span><span class="op">(</span><span class="fu"><a href="mo_property.html">mo_genus</a></span><span class="op">(</span><span class="op">)</span> <span class="op">==</span> <span class="st">"Enterococcus"</span> <span class="op">&amp;</span> <span class="fu"><a href="mo_property.html">mo_species</a></span><span class="op">(</span><span class="op">)</span> <span class="op">!=</span> <span class="st">""</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>
<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="va">mo</span>, <span class="va">TCY</span>, <span class="fu"><a href="antibiotic_class_selectors.html">carbapenems</a></span><span class="op">(</span><span class="op">)</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>
<span class="r-in"><span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/group_by.html" class="external-link">group_by</a></span><span class="op">(</span><span class="va">mo</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>
<span class="r-in"><span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span>d <span class="op">=</span> <span class="fu">mean_amr_distance</span><span class="op">(</span><span class="va">.</span>, <span class="fu">where</span><span class="op">(</span><span class="va">is.rsi</span><span class="op">)</span><span class="op">)</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>
<span class="r-in"><span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/arrange.html" class="external-link">arrange</a></span><span class="op">(</span><span class="va">mo</span>, <span class="va">d</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="op">}</span></span></span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Using column 'mo' as input for `mo_genus()`</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Using column 'mo' as input for `mo_species()`</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> For `carbapenems()` using columns 'IPM' (imipenem) and 'MEM' (meropenem)</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Calculating mean AMR distance based on columns "IPM", "MEM" and "TCY"</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 63 × 5</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Groups: mo [4]</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> mo TCY IPM MEM d</span>
<span class="r-out co"><span class="r-pr">#&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;dbl&gt;</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> B_ENTRC_AVIM S S NA <span style="color: #BB0000;">NaN</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> B_ENTRC_AVIM S S NA <span style="color: #BB0000;">NaN</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> B_ENTRC_CSSL NA S NA <span style="color: #BB0000;">NA</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> B_ENTRC_FACM S S NA -<span style="color: #BB0000;">2.66</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> B_ENTRC_FACM S R R -<span style="color: #BB0000;">0.423</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> B_ENTRC_FACM S R R -<span style="color: #BB0000;">0.423</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> B_ENTRC_FACM NA R R 0.224</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> B_ENTRC_FACM NA R R 0.224</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> B_ENTRC_FACM NA R R 0.224</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> B_ENTRC_FACM NA R R 0.224</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># … with 53 more rows</span></span>
</code></pre></div>
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<p></p><p><code>AMR</code> (for R). Developed at the <a target="_blank" href="https://www.rug.nl" class="external-link">University of Groningen</a> in collaboration with non-profit organisations<br><a target="_blank" href="https://www.certe.nl" class="external-link">Certe Medical Diagnostics and Advice Foundation</a> and <a target="_blank" href="https://www.umcg.nl" class="external-link">University Medical Center Groningen</a>.</p>
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2022-10-05 12:32:07 +02:00
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2022-08-30 22:22:19 +02:00
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