mirror of
https://github.com/msberends/AMR.git
synced 2025-09-11 07:29:42 +02:00
Built site for AMR: 1.8.2.9024@aa2c063
This commit is contained in:
github-actions
@@ -12,7 +12,7 @@ resistance() should be used to calculate resistance, susceptibility() should be
|
||||
|
||||
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
|
||||
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9023</small>
|
||||
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9024</small>
|
||||
|
||||
|
||||
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
|
||||
@@ -140,6 +140,16 @@ resistance() should be used to calculate resistance, susceptibility() should be
|
||||
<span></span>
|
||||
<span><span class="fu">susceptibility</span><span class="op">(</span><span class="va">...</span>, minimum <span class="op">=</span> <span class="fl">30</span>, as_percent <span class="op">=</span> <span class="cn">FALSE</span>, only_all_tested <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span>
|
||||
<span></span>
|
||||
<span><span class="fu">rsi_confidence_interval</span><span class="op">(</span></span>
|
||||
<span> <span class="va">...</span>,</span>
|
||||
<span> ab_result <span class="op">=</span> <span class="st">"R"</span>,</span>
|
||||
<span> minimum <span class="op">=</span> <span class="fl">30</span>,</span>
|
||||
<span> as_percent <span class="op">=</span> <span class="cn">FALSE</span>,</span>
|
||||
<span> only_all_tested <span class="op">=</span> <span class="cn">FALSE</span>,</span>
|
||||
<span> confidence_level <span class="op">=</span> <span class="fl">0.95</span>,</span>
|
||||
<span> side <span class="op">=</span> <span class="st">"both"</span></span>
|
||||
<span><span class="op">)</span></span>
|
||||
<span></span>
|
||||
<span><span class="fu">proportion_R</span><span class="op">(</span><span class="va">...</span>, minimum <span class="op">=</span> <span class="fl">30</span>, as_percent <span class="op">=</span> <span class="cn">FALSE</span>, only_all_tested <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span>
|
||||
<span></span>
|
||||
<span><span class="fu">proportion_IR</span><span class="op">(</span><span class="va">...</span>, minimum <span class="op">=</span> <span class="fl">30</span>, as_percent <span class="op">=</span> <span class="cn">FALSE</span>, only_all_tested <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span>
|
||||
@@ -157,7 +167,7 @@ resistance() should be used to calculate resistance, susceptibility() should be
|
||||
<span> minimum <span class="op">=</span> <span class="fl">30</span>,</span>
|
||||
<span> as_percent <span class="op">=</span> <span class="cn">FALSE</span>,</span>
|
||||
<span> combine_SI <span class="op">=</span> <span class="cn">TRUE</span>,</span>
|
||||
<span> combine_IR <span class="op">=</span> <span class="cn">FALSE</span></span>
|
||||
<span> confidence_level <span class="op">=</span> <span class="fl">0.95</span></span>
|
||||
<span><span class="op">)</span></span>
|
||||
<span></span>
|
||||
<span><span class="fu">rsi_df</span><span class="op">(</span></span>
|
||||
@@ -167,13 +177,13 @@ resistance() should be used to calculate resistance, susceptibility() should be
|
||||
<span> minimum <span class="op">=</span> <span class="fl">30</span>,</span>
|
||||
<span> as_percent <span class="op">=</span> <span class="cn">FALSE</span>,</span>
|
||||
<span> combine_SI <span class="op">=</span> <span class="cn">TRUE</span>,</span>
|
||||
<span> combine_IR <span class="op">=</span> <span class="cn">FALSE</span></span>
|
||||
<span> confidence_level <span class="op">=</span> <span class="fl">0.95</span></span>
|
||||
<span><span class="op">)</span></span></code></pre></div>
|
||||
</div>
|
||||
|
||||
<div class="section level2">
|
||||
<h2 id="source">Source<a class="anchor" aria-label="anchor" href="#source"></a></h2>
|
||||
<p><strong>M39 Analysis and Presentation of Cumulative Antimicrobial Susceptibility Test Data, 4th Edition</strong>, 2014, <em>Clinical and Laboratory Standards Institute (CLSI)</em>. <a href="https://clsi.org/standards/products/microbiology/documents/m39/" class="external-link">https://clsi.org/standards/products/microbiology/documents/m39/</a>.</p>
|
||||
<p><strong>M39 Analysis and Presentation of Cumulative Antimicrobial Susceptibility Test Data, 5th Edition</strong>, 2022, <em>Clinical and Laboratory Standards Institute (CLSI)</em>. <a href="https://clsi.org/standards/products/microbiology/documents/m39/" class="external-link">https://clsi.org/standards/products/microbiology/documents/m39/</a>.</p>
|
||||
</div>
|
||||
<div class="section level2">
|
||||
<h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
|
||||
@@ -193,6 +203,18 @@ resistance() should be used to calculate resistance, susceptibility() should be
|
||||
<dd><p>(for combination therapies, i.e. using more than one variable for <code>...</code>): a <a href="https://rdrr.io/r/base/logical.html" class="external-link">logical</a> to indicate that isolates must be tested for all antibiotics, see section <em>Combination Therapy</em> below</p></dd>
|
||||
|
||||
|
||||
<dt>ab_result</dt>
|
||||
<dd><p>antibiotic results to test against, must be one of more values of "R", "S", "I"</p></dd>
|
||||
|
||||
|
||||
<dt>confidence_level</dt>
|
||||
<dd><p>the confidence level for the returned confidence interval. For the calculation, the number of S or SI isolates, and R isolates are compared with the total number of available isolates with R, S, or I by using <code><a href="https://rdrr.io/r/stats/binom.test.html" class="external-link">binom.test()</a></code>, i.e., the Clopper-Pearson method.</p></dd>
|
||||
|
||||
|
||||
<dt>side</dt>
|
||||
<dd><p>the side of the confidence interval to return. Defaults to <code>"both"</code> for a length 2 vector, but can also be (abbreviated as) <code>"min"</code>/<code>"left"</code>/<code>"lower"</code>/<code>"less"</code> or <code>"max"</code>/<code>"right"</code>/<code>"higher"</code>/<code>"greater"</code>.</p></dd>
|
||||
|
||||
|
||||
<dt>data</dt>
|
||||
<dd><p>a <a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a> containing columns with class <code><a href="as.rsi.html">rsi</a></code> (see <code><a href="as.rsi.html">as.rsi()</a></code>)</p></dd>
|
||||
|
||||
@@ -206,11 +228,7 @@ resistance() should be used to calculate resistance, susceptibility() should be
|
||||
|
||||
|
||||
<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 output only consists of S+I vs. R (susceptible vs. resistant). This used to be the argument <code>combine_IR</code>, but this now follows the redefinition by EUCAST about the interpretation of I (increased exposure) in 2019, see section 'Interpretation of S, I and R' below. Default is <code>TRUE</code>.</p></dd>
|
||||
|
||||
|
||||
<dt>combine_IR</dt>
|
||||
<dd><p>a <a href="https://rdrr.io/r/base/logical.html" class="external-link">logical</a> to indicate whether all values of I and R must be merged into one, so the output only consists of S vs. I+R (susceptible vs. non-susceptible). This is outdated, see argument <code>combine_SI</code>.</p></dd>
|
||||
<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 output only consists of S+I vs. R (susceptible vs. resistant), defaults to <code>TRUE</code></p></dd>
|
||||
|
||||
</dl></div>
|
||||
<div class="section level2">
|
||||
@@ -222,6 +240,7 @@ resistance() should be used to calculate resistance, susceptibility() should be
|
||||
<div class="section level2">
|
||||
<h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
|
||||
<p>The function <code>resistance()</code> is equal to the function <code>proportion_R()</code>. The function <code>susceptibility()</code> is equal to the function <code>proportion_SI()</code>.</p>
|
||||
<p>Use <code>rsi_confidence_interval()</code> to calculate the confidence interval, which relies on <code><a href="https://rdrr.io/r/stats/binom.test.html" class="external-link">binom.test()</a></code>, i.e., the Clopper-Pearson method. This function returns a vector of length 2 at default for antimicrobial <em>resistance</em>. Change the <code>side</code> argument to "left"/"min" or "right"/"max" to return a single value, and change the <code>ab_result</code> argument to e.g. <code>c("S", "I")</code> to test for antimicrobial <em>susceptibility</em>, see Examples.</p>
|
||||
<p><strong>Remember that you should filter your data to let it contain only first isolates!</strong> This is needed to exclude duplicates and to reduce selection bias. Use <code><a href="first_isolate.html">first_isolate()</a></code> to determine them in your data set.</p>
|
||||
<p>These functions are not meant to count isolates, but to calculate the proportion of resistance/susceptibility. Use the <code><a href="count.html">count()</a></code> functions to count isolates. The function <code>susceptibility()</code> is essentially equal to <code>count_susceptible() / count_all()</code>. <em>Low counts can influence the outcome - the <code>proportion</code> functions may camouflage this, since they only return the proportion (albeit being dependent on the <code>minimum</code> argument).</em></p>
|
||||
<p>The function <code>proportion_df()</code> takes any variable from <code>data</code> that has an <code><a href="as.rsi.html">rsi</a></code> class (created with <code><a href="as.rsi.html">as.rsi()</a></code>) and calculates the proportions R, I and S. It also supports grouped variables. The function <code>rsi_df()</code> works exactly like <code>proportion_df()</code>, but adds the number of isolates.</p>
|
||||
@@ -278,10 +297,21 @@ A microorganism is categorised as <em>Susceptible, Increased exposure</em> when
|
||||
<span class="r-in"><span><span class="co"># run ?example_isolates for more info.</span></span></span>
|
||||
<span class="r-in"><span></span></span>
|
||||
<span class="r-in"><span><span class="co"># base R ------------------------------------------------------------</span></span></span>
|
||||
<span class="r-in"><span><span class="fu">resistance</span><span class="op">(</span><span class="va">example_isolates</span><span class="op">$</span><span class="va">AMX</span><span class="op">)</span> <span class="co"># determines %R</span></span></span>
|
||||
<span class="r-in"><span><span class="co"># determines %R</span></span></span>
|
||||
<span class="r-in"><span><span class="fu">resistance</span><span class="op">(</span><span class="va">example_isolates</span><span class="op">$</span><span class="va">AMX</span><span class="op">)</span></span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> [1] 0.5955556</span>
|
||||
<span class="r-in"><span><span class="fu">susceptibility</span><span class="op">(</span><span class="va">example_isolates</span><span class="op">$</span><span class="va">AMX</span><span class="op">)</span> <span class="co"># determines %S+I</span></span></span>
|
||||
<span class="r-in"><span><span class="fu">rsi_confidence_interval</span><span class="op">(</span><span class="va">example_isolates</span><span class="op">$</span><span class="va">AMX</span><span class="op">)</span></span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> [1] 0.5688204 0.6218738</span>
|
||||
<span class="r-in"><span><span class="fu">rsi_confidence_interval</span><span class="op">(</span><span class="va">example_isolates</span><span class="op">$</span><span class="va">AMX</span>,</span></span>
|
||||
<span class="r-in"><span> confidence_level <span class="op">=</span> <span class="fl">0.975</span><span class="op">)</span></span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> [1] 0.5650148 0.6255670</span>
|
||||
<span class="r-in"><span></span></span>
|
||||
<span class="r-in"><span><span class="co"># determines %S+I:</span></span></span>
|
||||
<span class="r-in"><span><span class="fu">susceptibility</span><span class="op">(</span><span class="va">example_isolates</span><span class="op">$</span><span class="va">AMX</span><span class="op">)</span></span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> [1] 0.4044444</span>
|
||||
<span class="r-in"><span><span class="fu">rsi_confidence_interval</span><span class="op">(</span><span class="va">example_isolates</span><span class="op">$</span><span class="va">AMX</span>,</span></span>
|
||||
<span class="r-in"><span> ab_result <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"S"</span>, <span class="st">"I"</span><span class="op">)</span><span class="op">)</span></span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> [1] 0.3781262 0.4311796</span>
|
||||
<span class="r-in"><span></span></span>
|
||||
<span class="r-in"><span><span class="co"># be more specific</span></span></span>
|
||||
<span class="r-in"><span><span class="fu">proportion_S</span><span class="op">(</span><span class="va">example_isolates</span><span class="op">$</span><span class="va">AMX</span><span class="op">)</span></span></span>
|
||||
@@ -298,12 +328,39 @@ A microorganism is categorised as <em>Susceptible, Increased exposure</em> when
|
||||
<span class="r-in"><span><span class="co"># dplyr -------------------------------------------------------------</span></span></span>
|
||||
<span class="r-in"><span><span class="co"># \donttest{</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></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">%>%</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">ward</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%>%</a></span></span></span>
|
||||
<span class="r-in"><span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/summarise.html" class="external-link">summarise</a></span><span class="op">(</span></span></span>
|
||||
<span class="r-in"><span> r <span class="op">=</span> <span class="fu">resistance</span><span class="op">(</span><span class="va">CIP</span><span class="op">)</span>,</span></span>
|
||||
<span class="r-in"><span> n <span class="op">=</span> <span class="fu"><a href="count.html">n_rsi</a></span><span class="op">(</span><span class="va">CIP</span><span class="op">)</span></span></span>
|
||||
<span class="r-in"><span> <span class="op">)</span> <span class="co"># n_rsi works like n_distinct in dplyr, see ?n_rsi</span></span></span>
|
||||
<span class="r-in"><span> </span></span>
|
||||
<span class="r-in"><span><span class="op">}</span></span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># A tibble: 3 × 3</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> ward r n</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494; font-style: italic;"><chr></span> <span style="color: #949494; font-style: italic;"><dbl></span> <span style="color: #949494; font-style: italic;"><int></span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">1</span> Clinical 0.147 869</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">2</span> ICU 0.190 447</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">3</span> Outpatient 0.161 93</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="va">example_isolates</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%>%</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">ward</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%>%</a></span></span></span>
|
||||
<span class="r-in"><span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/summarise.html" class="external-link">summarise</a></span><span class="op">(</span></span></span>
|
||||
<span class="r-in"><span> cipro_R <span class="op">=</span> <span class="fu">resistance</span><span class="op">(</span><span class="va">CIP</span><span class="op">)</span>,</span></span>
|
||||
<span class="r-in"><span> ci_min <span class="op">=</span> <span class="fu">rsi_confidence_interval</span><span class="op">(</span><span class="va">CIP</span>, side <span class="op">=</span> <span class="st">"min"</span><span class="op">)</span>,</span></span>
|
||||
<span class="r-in"><span> ci_max <span class="op">=</span> <span class="fu">rsi_confidence_interval</span><span class="op">(</span><span class="va">CIP</span>, side <span class="op">=</span> <span class="st">"max"</span><span class="op">)</span>,</span></span>
|
||||
<span class="r-in"><span> <span class="op">)</span></span></span>
|
||||
<span class="r-in"><span> </span></span>
|
||||
<span class="r-in"><span><span class="op">}</span></span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># A tibble: 3 × 4</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> ward cipro_R ci_min ci_max</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494; font-style: italic;"><chr></span> <span style="color: #949494; font-style: italic;"><dbl></span> <span style="color: #949494; font-style: italic;"><dbl></span> <span style="color: #949494; font-style: italic;"><dbl></span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">1</span> Clinical 0.147 0.124 0.173</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">2</span> ICU 0.190 0.155 0.230</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">3</span> Outpatient 0.161 0.093<span style="text-decoration: underline;">2</span> 0.252</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="va">example_isolates</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%>%</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">ward</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%>%</a></span></span></span>
|
||||
@@ -366,21 +423,21 @@ A microorganism is categorised as <em>Susceptible, Increased exposure</em> when
|
||||
<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">ward</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%>%</a></span></span></span>
|
||||
<span class="r-in"><span> <span class="fu">rsi_df</span><span class="op">(</span>translate <span class="op">=</span> <span class="cn">FALSE</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">#></span> <span style="color: #949494;"># A tibble: 12 × 5</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> ward antibiotic interpretation value isolates</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">*</span> <span style="color: #949494; font-style: italic;"><chr></span> <span style="color: #949494; font-style: italic;"><chr></span> <span style="color: #949494; font-style: italic;"><ord></span> <span style="color: #949494; font-style: italic;"><dbl></span> <span style="color: #949494; font-style: italic;"><int></span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 1</span> Clinical AMX SI 0.423 357</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 2</span> Clinical AMX R 0.577 487</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 3</span> Clinical CIP SI 0.853 741</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 4</span> Clinical CIP R 0.147 128</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 5</span> ICU AMX SI 0.369 158</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 6</span> ICU AMX R 0.631 270</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 7</span> ICU CIP SI 0.810 362</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 8</span> ICU CIP R 0.190 85</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 9</span> Outpatient AMX SI 0.397 31</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">10</span> Outpatient AMX R 0.603 47</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">11</span> Outpatient CIP SI 0.839 78</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">12</span> Outpatient CIP R 0.161 15</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># A tibble: 12 × 7</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> ward antibiotic interpretation value ci_min ci_max isolates</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">*</span> <span style="color: #949494; font-style: italic;"><chr></span> <span style="color: #949494; font-style: italic;"><chr></span> <span style="color: #949494; font-style: italic;"><ord></span> <span style="color: #949494; font-style: italic;"><dbl></span> <span style="color: #949494; font-style: italic;"><dbl></span> <span style="color: #949494; font-style: italic;"><dbl></span> <span style="color: #949494; font-style: italic;"><int></span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 1</span> Clinical AMX SI 0.423 0.389 0.457 357</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 2</span> Clinical AMX R 0.577 0.543 0.611 487</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 3</span> Clinical CIP SI 0.853 0.827 0.876 741</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 4</span> Clinical CIP R 0.147 0.124 0.173 128</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 5</span> ICU AMX SI 0.369 0.323 0.417 158</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 6</span> ICU AMX R 0.631 0.583 0.677 270</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 7</span> ICU CIP SI 0.810 0.770 0.845 362</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 8</span> ICU CIP R 0.190 0.155 0.230 85</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 9</span> Outpatient AMX SI 0.397 0.288 0.515 31</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">10</span> Outpatient AMX R 0.603 0.485 0.712 47</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">11</span> Outpatient CIP SI 0.839 0.748 0.907 78</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">12</span> Outpatient CIP R 0.161 0.093<span style="text-decoration: underline;">2</span> 0.252 15</span>
|
||||
<span class="r-in"><span><span class="co"># }</span></span></span>
|
||||
</code></pre></div>
|
||||
</div>
|
||||
|
||||
Reference in New Issue
Block a user