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@@ -9,7 +9,7 @@ Adhering to previously described approaches (see Source) and especially the Baye
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9052</small>
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">3.0.1.9053</small>
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<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
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@@ -411,7 +411,7 @@ Adhering to previously described approaches (see Source) and especially the Baye
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<span class="r-msg co"><span class="r-pr">#></span> <span style="color: #00BBBB;">ℹ</span> For `aminoglycosides()` using columns <span style="color: #00BB00; font-weight: bold;">GEN</span> (gentamicin), <span style="color: #00BB00; font-weight: bold;">TOB</span> (tobramycin), <span style="color: #00BB00; font-weight: bold;">AMK</span></span>
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<span class="r-msg co"><span class="r-pr">#></span> (amikacin), and <span style="color: #00BB00; font-weight: bold;">KAN</span> (kanamycin)</span>
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<span class="r-msg co"><span class="r-pr">#></span> <span style="color: #00BBBB;">ℹ</span> For `carbapenems()` using columns <span style="color: #00BB00; font-weight: bold;">IPM</span> (imipenem) and <span style="color: #00BB00; font-weight: bold;">MEM</span> (meropenem)</span>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># An Antibiogram: 10 × 7</span></span>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># An antibiogram: 10 × 7</span></span>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># Type: Non-WISCA with 95% CI</span></span>
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<span class="r-out co"><span class="r-pr">#></span> Pathogen Amikacin Gentamicin Imipenem Kanamycin Meropenem Tobramycin</span>
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<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;"><chr></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;"><chr></span> <span style="color: #949494; font-style: italic;"><chr></span> <span style="color: #949494; font-style: italic;"><chr></span> </span>
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@@ -426,7 +426,7 @@ Adhering to previously described approaches (see Source) and especially the Baye
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 9</span> S. hominis <span style="color: #BB0000;">NA</span> 92% (84-9… <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> 85% (74-9…</span>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">10</span> S. pneumoniae 0% (0-3%,N… 0% (0-3%,… <span style="color: #BB0000;">NA</span> 0% (0-3%… <span style="color: #BB0000;">NA</span> 0% (0-3%,…</span>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># Use `ggplot2::autoplot()` or base R `plot()` to create a plot of this antibiogram,</span></span>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># or use it directly in R Markdown or https://quarto.org, see ?antibiogram</span></span>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># or use it directly in R Markdown or Quarto, see ?antibiogram</span></span>
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<span class="r-in"><span></span></span>
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<span class="r-in"><span><span class="fu">antibiogram</span><span class="op">(</span><span class="va">example_isolates</span>,</span></span>
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<span class="r-in"><span> antimicrobials <span class="op">=</span> <span class="fu"><a href="antimicrobial_selectors.html">aminoglycosides</a></span><span class="op">(</span><span class="op">)</span>,</span></span>
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@@ -435,14 +435,14 @@ Adhering to previously described approaches (see Source) and especially the Baye
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<span class="r-in"><span><span class="op">)</span></span></span>
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<span class="r-msg co"><span class="r-pr">#></span> <span style="color: #00BBBB;">ℹ</span> For `aminoglycosides()` using columns <span style="color: #00BB00; font-weight: bold;">GEN</span> (gentamicin), <span style="color: #00BB00; font-weight: bold;">TOB</span> (tobramycin), <span style="color: #00BB00; font-weight: bold;">AMK</span></span>
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<span class="r-msg co"><span class="r-pr">#></span> (amikacin), and <span style="color: #00BB00; font-weight: bold;">KAN</span> (kanamycin)</span>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># An Antibiogram: 2 × 5</span></span>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># An antibiogram: 2 × 5</span></span>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># Type: Non-WISCA with 95% CI</span></span>
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<span class="r-out co"><span class="r-pr">#></span> Pathogen J01GB01 J01GB03 J01GB04 J01GB06 </span>
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<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;"><chr></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;"><chr></span> </span>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">1</span> Gram-negative 96% (94-97%,N=686) 96% (95-98%,N=684) 0% (0-10%,N=35) 98% (96-…</span>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">2</span> Gram-positive 34% (31-38%,N=665) 63% (60-66%,N=1170) 0% (0-1%,N=436) 0% (0-1%…</span>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># Use `ggplot2::autoplot()` or base R `plot()` to create a plot of this antibiogram,</span></span>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># or use it directly in R Markdown or https://quarto.org, see ?antibiogram</span></span>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># or use it directly in R Markdown or Quarto, see ?antibiogram</span></span>
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<span class="r-in"><span></span></span>
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<span class="r-in"><span><span class="fu">antibiogram</span><span class="op">(</span><span class="va">example_isolates</span>,</span></span>
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<span class="r-in"><span> antimicrobials <span class="op">=</span> <span class="fu"><a href="antimicrobial_selectors.html">carbapenems</a></span><span class="op">(</span><span class="op">)</span>,</span></span>
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@@ -450,7 +450,7 @@ Adhering to previously described approaches (see Source) and especially the Baye
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<span class="r-in"><span> mo_transform <span class="op">=</span> <span class="st">"name"</span></span></span>
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<span class="r-in"><span><span class="op">)</span></span></span>
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<span class="r-msg co"><span class="r-pr">#></span> <span style="color: #00BBBB;">ℹ</span> For `carbapenems()` using columns <span style="color: #00BB00; font-weight: bold;">IPM</span> (imipenem) and <span style="color: #00BB00; font-weight: bold;">MEM</span> (meropenem)</span>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># An Antibiogram: 5 × 3</span></span>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># An antibiogram: 5 × 3</span></span>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># Type: Non-WISCA with 95% CI</span></span>
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<span class="r-out co"><span class="r-pr">#></span> Pathogen Imipenem Meropenem </span>
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<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;"><chr></span> <span style="color: #949494; font-style: italic;"><chr></span> </span>
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@@ -460,7 +460,7 @@ Adhering to previously described approaches (see Source) and especially the Baye
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">4</span> Klebsiella pneumoniae 100% (93-100%,N=51) 100% (93-100%,N…</span>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">5</span> Proteus mirabilis 94% (79-99%,N=32) <span style="color: #BB0000;">NA</span> </span>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># Use `ggplot2::autoplot()` or base R `plot()` to create a plot of this antibiogram,</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># or use it directly in R Markdown or https://quarto.org, see ?antibiogram</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># or use it directly in R Markdown or Quarto, see ?antibiogram</span></span>
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<span class="r-in"><span></span></span>
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<span class="r-in"><span></span></span>
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<span class="r-in"><span><span class="co"># Combined antibiogram -------------------------------------------------</span></span></span>
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@@ -470,7 +470,7 @@ Adhering to previously described approaches (see Source) and especially the Baye
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<span class="r-in"><span> antimicrobials <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">"TZP"</span>, <span class="st">"TZP+TOB"</span>, <span class="st">"TZP+GEN"</span><span class="op">)</span>,</span></span>
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<span class="r-in"><span> mo_transform <span class="op">=</span> <span class="st">"gramstain"</span></span></span>
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<span class="r-in"><span><span class="op">)</span></span></span>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># An Antibiogram: 2 × 4</span></span>
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||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># An antibiogram: 2 × 4</span></span>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># Type: Non-WISCA with 95% CI</span></span>
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<span class="r-out co"><span class="r-pr">#></span> Pathogen Piperacillin/tazobac…¹ Piperacillin/tazobac…² Piperacillin/tazobac…³</span>
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<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;"><chr></span> <span style="color: #949494; font-style: italic;"><chr></span> <span style="color: #949494; font-style: italic;"><chr></span> </span>
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@@ -480,7 +480,7 @@ Adhering to previously described approaches (see Source) and especially the Baye
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># ²`Piperacillin/tazobactam + Gentamicin`,</span></span>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># ³`Piperacillin/tazobactam + Tobramycin`</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># Use `ggplot2::autoplot()` or base R `plot()` to create a plot of this antibiogram,</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># or use it directly in R Markdown or https://quarto.org, see ?antibiogram</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># or use it directly in R Markdown or Quarto, see ?antibiogram</span></span>
|
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<span class="r-in"><span></span></span>
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<span class="r-in"><span><span class="co"># you can use any antimicrobial selector with `+` too:</span></span></span>
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<span class="r-in"><span><span class="fu">antibiogram</span><span class="op">(</span><span class="va">example_isolates</span>,</span></span>
|
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@@ -488,7 +488,7 @@ Adhering to previously described approaches (see Source) and especially the Baye
|
||||
<span class="r-in"><span> mo_transform <span class="op">=</span> <span class="st">"gramstain"</span></span></span>
|
||||
<span class="r-in"><span><span class="op">)</span></span></span>
|
||||
<span class="r-msg co"><span class="r-pr">#></span> <span style="color: #00BBBB;">ℹ</span> For `ureidopenicillins()` using column <span style="color: #00BB00; font-weight: bold;">TZP</span> (piperacillin/tazobactam)</span>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># An Antibiogram: 2 × 4</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># An antibiogram: 2 × 4</span></span>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># Type: Non-WISCA with 95% CI</span></span>
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<span class="r-out co"><span class="r-pr">#></span> Pathogen Piperacillin/tazobac…¹ Piperacillin/tazobac…² Piperacillin/tazobac…³</span>
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<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;"><chr></span> <span style="color: #949494; font-style: italic;"><chr></span> <span style="color: #949494; font-style: italic;"><chr></span> </span>
|
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@@ -498,7 +498,7 @@ Adhering to previously described approaches (see Source) and especially the Baye
|
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># ²`Piperacillin/tazobactam + Gentamicin`,</span></span>
|
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># ³`Piperacillin/tazobactam + Tobramycin`</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># Use `ggplot2::autoplot()` or base R `plot()` to create a plot of this antibiogram,</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># or use it directly in R Markdown or https://quarto.org, see ?antibiogram</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># or use it directly in R Markdown or Quarto, see ?antibiogram</span></span>
|
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<span class="r-in"><span></span></span>
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<span class="r-in"><span><span class="co"># names of antimicrobials do not need to resemble columns exactly:</span></span></span>
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<span class="r-in"><span><span class="fu">antibiogram</span><span class="op">(</span><span class="va">example_isolates</span>,</span></span>
|
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@@ -507,14 +507,14 @@ Adhering to previously described approaches (see Source) and especially the Baye
|
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<span class="r-in"><span> ab_transform <span class="op">=</span> <span class="st">"name"</span>,</span></span>
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<span class="r-in"><span> sep <span class="op">=</span> <span class="st">" & "</span></span></span>
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<span class="r-in"><span><span class="op">)</span></span></span>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># An Antibiogram: 2 × 3</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># An antibiogram: 2 × 3</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># Type: Non-WISCA with 95% CI</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> Pathogen Ciprofloxacin `Ciprofloxacin & Gentamicin`</span>
|
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<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;"><chr></span> <span style="color: #949494; font-style: italic;"><chr></span> </span>
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">1</span> Gram-negative 91% (88-93%,N=684) 99% (97-99%,N=694) </span>
|
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">2</span> Gram-positive 77% (74-80%,N=724) 93% (91-94%,N=847) </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># Use `ggplot2::autoplot()` or base R `plot()` to create a plot of this antibiogram,</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># or use it directly in R Markdown or https://quarto.org, see ?antibiogram</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># or use it directly in R Markdown or Quarto, see ?antibiogram</span></span>
|
||||
<span class="r-in"><span></span></span>
|
||||
<span class="r-in"><span></span></span>
|
||||
<span class="r-in"><span><span class="co"># Syndromic antibiogram ------------------------------------------------</span></span></span>
|
||||
@@ -527,7 +527,7 @@ Adhering to previously described approaches (see Source) and especially the Baye
|
||||
<span class="r-msg co"><span class="r-pr">#></span> <span style="color: #00BBBB;">ℹ</span> For `aminoglycosides()` using columns <span style="color: #00BB00; font-weight: bold;">GEN</span> (gentamicin), <span style="color: #00BB00; font-weight: bold;">TOB</span> (tobramycin), <span style="color: #00BB00; font-weight: bold;">AMK</span></span>
|
||||
<span class="r-msg co"><span class="r-pr">#></span> (amikacin), and <span style="color: #00BB00; font-weight: bold;">KAN</span> (kanamycin)</span>
|
||||
<span class="r-msg co"><span class="r-pr">#></span> <span style="color: #00BBBB;">ℹ</span> For `carbapenems()` using columns <span style="color: #00BB00; font-weight: bold;">IPM</span> (imipenem) and <span style="color: #00BB00; font-weight: bold;">MEM</span> (meropenem)</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># An Antibiogram: 14 × 8</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># An antibiogram: 14 × 8</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># Type: Non-WISCA with 95% CI</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> `Syndromic Group` Pathogen Amikacin Gentamicin Imipenem Kanamycin Meropenem</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;"><chr></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;"><chr></span> <span style="color: #949494; font-style: italic;"><chr></span> <span style="color: #949494; font-style: italic;"><chr></span> </span>
|
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@@ -547,7 +547,7 @@ Adhering to previously described approaches (see Source) and especially the Baye
|
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<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">14</span> ICU S. pneumo… 0% (0-1… 0% (0-12%… <span style="color: #BB0000;">NA</span> 0% (0-12… <span style="color: #BB0000;">NA</span> </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># ℹ 1 more variable: Tobramycin <chr></span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># Use `ggplot2::autoplot()` or base R `plot()` to create a plot of this antibiogram,</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># or use it directly in R Markdown or https://quarto.org, see ?antibiogram</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># or use it directly in R Markdown or Quarto, see ?antibiogram</span></span>
|
||||
<span class="r-in"><span></span></span>
|
||||
<span class="r-in"><span><span class="co"># now define a data set with only E. coli</span></span></span>
|
||||
<span class="r-in"><span><span class="va">ex1</span> <span class="op"><-</span> <span class="va">example_isolates</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"><a href="mo_property.html">mo_genus</a></span><span class="op">(</span><span class="op">)</span> <span class="op">==</span> <span class="st">"Escherichia"</span><span class="op">)</span>, <span class="op">]</span></span></span>
|
||||
@@ -565,14 +565,14 @@ Adhering to previously described approaches (see Source) and especially the Baye
|
||||
<span class="r-in"><span><span class="op">)</span></span></span>
|
||||
<span class="r-msg co"><span class="r-pr">#></span> <span style="color: #00BBBB;">ℹ</span> For `aminoglycosides()` using columns <span style="color: #00BB00; font-weight: bold;">GEN</span> (gentamicin), <span style="color: #00BB00; font-weight: bold;">TOB</span> (tobramycin), <span style="color: #00BB00; font-weight: bold;">AMK</span></span>
|
||||
<span class="r-msg co"><span class="r-pr">#></span> (amikacin), and <span style="color: #00BB00; font-weight: bold;">KAN</span> (kanamycin)</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># An Antibiogram: 2 × 5</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># An antibiogram: 2 × 5</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># Type: Non-WISCA with 95% CI</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> `Grupo sindrómico` Patógeno Amikacina Gentamicina Tobramicina</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;"><chr></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;"><chr></span> </span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">1</span> No UCI E. coli 100% (97-100%,N=119) 98% (96-99%,N=32… 98% (96-99…</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">2</span> UCI E. coli 100% (93-100%,N=52) 99% (95-100%,N=1… 96% (92-99…</span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># Use `ggplot2::autoplot()` or base R `plot()` to create a plot of this antibiogram,</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># or use it directly in R Markdown or https://quarto.org, see ?antibiogram</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># or use it directly in R Markdown or Quarto, see ?antibiogram</span></span>
|
||||
<span class="r-in"><span></span></span>
|
||||
<span class="r-in"><span></span></span>
|
||||
<span class="r-in"><span><span class="co"># WISCA antibiogram ----------------------------------------------------</span></span></span>
|
||||
@@ -583,7 +583,7 @@ Adhering to previously described approaches (see Source) and especially the Baye
|
||||
<span class="r-in"><span> syndromic_group <span class="op">=</span> <span class="st">"ward"</span>,</span></span>
|
||||
<span class="r-in"><span> wisca <span class="op">=</span> <span class="cn">TRUE</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;"># An Antibiogram: 3 × 4</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># An antibiogram: 3 × 4</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># Type: WISCA with 95% CI</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> `Syndromic Group` `Piperacillin/tazobactam` Piperacillin/tazobactam + Gentam…¹</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;"><chr></span> <span style="color: #949494; font-style: italic;"><chr></span> </span>
|
||||
@@ -593,7 +593,7 @@ Adhering to previously described approaches (see Source) and especially the Baye
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># ℹ abbreviated name: ¹`Piperacillin/tazobactam + Gentamicin`</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># ℹ 1 more variable: `Piperacillin/tazobactam + Tobramycin` <chr></span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># Use `ggplot2::autoplot()` or base R `plot()` to create a plot of this antibiogram,</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># or use it directly in R Markdown or https://quarto.org, see ?antibiogram</span></span>
|
||||
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># or use it directly in R Markdown or Quarto, see ?antibiogram</span></span>
|
||||
<span class="r-in"><span></span></span>
|
||||
<span class="r-in"><span></span></span>
|
||||
<span class="r-in"><span><span class="co"># Print the output for R Markdown / Quarto -----------------------------</span></span></span>
|
||||
|
||||
Reference in New Issue
Block a user