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(v1.3.0.9001) website update

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dr. M.S. (Matthijs) Berends
2020-08-10 12:46:03 +02:00
parent 0d9602a6a9
commit 7d16bec21f
79 changed files with 2221 additions and 1974 deletions
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16
docs/reference/AMR-deprecated.html
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@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -235,17 +235,17 @@
<p>These functions are so-called '<a href='https://rdrr.io/r/base/Deprecated.html'>Deprecated</a>'. They will be removed in a future release. Using the functions will give a warning with the name of the function it has been replaced by (if there is one).</p>
</div>
<pre class="usage"><span class='fu'>portion_R</span>(<span class='no'>...</span>)
<pre class="usage"><span class='fu'>portion_R</span>(<span class='kw'>...</span>)
<span class='fu'>portion_IR</span>(<span class='no'>...</span>)
<span class='fu'>portion_IR</span>(<span class='kw'>...</span>)
<span class='fu'>portion_I</span>(<span class='no'>...</span>)
<span class='fu'>portion_I</span>(<span class='kw'>...</span>)
<span class='fu'>portion_SI</span>(<span class='no'>...</span>)
<span class='fu'>portion_SI</span>(<span class='kw'>...</span>)
<span class='fu'>portion_S</span>(<span class='no'>...</span>)
<span class='fu'>portion_S</span>(<span class='kw'>...</span>)
<span class='fu'>portion_df</span>(<span class='no'>...</span>)</pre>
<span class='fu'>portion_df</span>(<span class='kw'>...</span>)</pre>
<h2 class="hasAnchor" id="retired-lifecycle"><a class="anchor" href="#retired-lifecycle"></a>Retired lifecycle</h2>
@ -275,7 +275,7 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>retired</
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

8
docs/reference/AMR.html
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@ -6,7 +6,7 @@
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>The <code>AMR</code> Package — AMR • AMR (for R)</title>
<title>The AMR Package — AMR • AMR (for R)</title>
<!-- favicons -->
<link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png">
@ -48,7 +48,7 @@
<link href="../extra.css" rel="stylesheet">
<script src="../extra.js"></script>
<meta property="og:title" content="The <code>AMR</code> Package — AMR" />
<meta property="og:title" content="The AMR Package — AMR" />
<meta property="og:description" content="Welcome to the AMR package." />
<meta property="og:image" content="https://msberends.github.io/AMR/logo.svg" />
@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -297,7 +297,7 @@ The Netherlands</p>
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

4
docs/reference/WHOCC.html
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@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -272,7 +272,7 @@ This package contains <strong>all ~550 antibiotic, antimycotic and antiviral dru
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

6
docs/reference/WHONET.html
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@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -235,7 +235,7 @@
<p>This example data set has the exact same structure as an export file from WHONET. Such files can be used with this package, as this example data set shows. The data itself was based on our <a href='example_isolates.html'>example_isolates</a> data set.</p>
</div>
<pre class="usage"><span class='no'>WHONET</span></pre>
<pre class="usage"><span class='kw'>WHONET</span></pre>
<h2 class="hasAnchor" id="format"><a class="anchor" href="#format"></a>Format</h2>
@ -290,7 +290,7 @@
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

58
docs/reference/ab_from_text.html
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@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9000</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -236,12 +236,12 @@
</div>
<pre class="usage"><span class='fu'>ab_from_text</span>(
<span class='no'>text</span>,
<span class='kw'>type</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"drug"</span>, <span class='st'>"dose"</span>, <span class='st'>"administration"</span>),
<span class='kw'>collapse</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>translate_ab</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>,
<span class='kw'>thorough_search</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='no'>...</span>
<span class='kw'>text</span>,
type = <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"drug"</span>, <span class='st'>"dose"</span>, <span class='st'>"administration"</span>),
collapse = <span class='kw'>NULL</span>,
translate_ab = <span class='fl'>FALSE</span>,
thorough_search = <span class='kw'>NULL</span>,
<span class='kw'>...</span>
)</pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
@ -312,31 +312,31 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>maturing<
<span class='fu'>ab_from_text</span>(<span class='st'>"28/03/2020 regular amoxicilliin 500mg po tds"</span>)
<span class='fu'>ab_from_text</span>(<span class='st'>"500 mg amoxi po and 400mg cipro iv"</span>)
<span class='fu'>ab_from_text</span>(<span class='st'>"500 mg amoxi po and 400mg cipro iv"</span>, <span class='kw'>type</span> <span class='kw'>=</span> <span class='st'>"dose"</span>)
<span class='fu'>ab_from_text</span>(<span class='st'>"500 mg amoxi po and 400mg cipro iv"</span>, <span class='kw'>type</span> <span class='kw'>=</span> <span class='st'>"admin"</span>)
<span class='fu'>ab_from_text</span>(<span class='st'>"500 mg amoxi po and 400mg cipro iv"</span>, type = <span class='st'>"dose"</span>)
<span class='fu'>ab_from_text</span>(<span class='st'>"500 mg amoxi po and 400mg cipro iv"</span>, type = <span class='st'>"admin"</span>)
<span class='fu'>ab_from_text</span>(<span class='st'>"500 mg amoxi po and 400mg cipro iv"</span>, <span class='kw'>collapse</span> <span class='kw'>=</span> <span class='st'>", "</span>)
<span class='fu'>ab_from_text</span>(<span class='st'>"500 mg amoxi po and 400mg cipro iv"</span>, collapse = <span class='st'>", "</span>)
<span class='co'># if you want to know which antibiotic groups were administered, do e.g.:</span>
<span class='no'>abx</span> <span class='kw'>&lt;-</span> <span class='fu'>ab_from_text</span>(<span class='st'>"500 mg amoxi po and 400mg cipro iv"</span>)
<span class='fu'><a href='ab_property.html'>ab_group</a></span>(<span class='no'>abx</span><span class='kw'>[[</span><span class='fl'>1</span>]])
<span class='kw'>abx</span> <span class='op'>&lt;-</span> <span class='fu'>ab_from_text</span>(<span class='st'>"500 mg amoxi po and 400mg cipro iv"</span>)
<span class='fu'><a href='ab_property.html'>ab_group</a></span>(<span class='kw'>abx</span>[[<span class='fl'>1</span>]])
<span class='kw'>if</span> (<span class='fu'><a href='https://rdrr.io/r/base/library.html'>require</a></span>(<span class='st'>"dplyr"</span>)) {
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/reexports.html'>tibble</a></span>(<span class='kw'>clinical_text</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"given 400mg cipro and 500 mg amox"</span>,
<span class='st'>"started on doxy iv today"</span>)) <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span>(<span class='kw'>abx_codes</span> <span class='kw'>=</span> <span class='fu'>ab_from_text</span>(<span class='no'>clinical_text</span>),
<span class='kw'>abx_doses</span> <span class='kw'>=</span> <span class='fu'>ab_from_text</span>(<span class='no'>clinical_text</span>, <span class='kw'>type</span> <span class='kw'>=</span> <span class='st'>"doses"</span>),
<span class='kw'>abx_admin</span> <span class='kw'>=</span> <span class='fu'>ab_from_text</span>(<span class='no'>clinical_text</span>, <span class='kw'>type</span> <span class='kw'>=</span> <span class='st'>"admin"</span>),
<span class='kw'>abx_coll</span> <span class='kw'>=</span> <span class='fu'>ab_from_text</span>(<span class='no'>clinical_text</span>, <span class='kw'>collapse</span> <span class='kw'>=</span> <span class='st'>"|"</span>),
<span class='kw'>abx_coll_names</span> <span class='kw'>=</span> <span class='fu'>ab_from_text</span>(<span class='no'>clinical_text</span>,
<span class='kw'>collapse</span> <span class='kw'>=</span> <span class='st'>"|"</span>,
<span class='kw'>translate_ab</span> <span class='kw'>=</span> <span class='st'>"name"</span>),
<span class='kw'>abx_coll_doses</span> <span class='kw'>=</span> <span class='fu'>ab_from_text</span>(<span class='no'>clinical_text</span>,
<span class='kw'>type</span> <span class='kw'>=</span> <span class='st'>"doses"</span>,
<span class='kw'>collapse</span> <span class='kw'>=</span> <span class='st'>"|"</span>),
<span class='kw'>abx_coll_admin</span> <span class='kw'>=</span> <span class='fu'>ab_from_text</span>(<span class='no'>clinical_text</span>,
<span class='kw'>type</span> <span class='kw'>=</span> <span class='st'>"admin"</span>,
<span class='kw'>collapse</span> <span class='kw'>=</span> <span class='st'>"|"</span>))
<span class='co'>if</span> (<span class='fu'><a href='https://rdrr.io/r/base/library.html'>require</a></span>(<span class='st'><a href='https://dplyr.tidyverse.org'>"dplyr"</a></span>)) {
<span class='fu'><a href='https://tibble.tidyverse.org/reference/tibble.html'>tibble</a></span>(clinical_text = <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"given 400mg cipro and 500 mg amox"</span>,
<span class='st'>"started on doxy iv today"</span>)) <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span>(abx_codes = <span class='fu'>ab_from_text</span>(<span class='kw'>clinical_text</span>),
abx_doses = <span class='fu'>ab_from_text</span>(<span class='kw'>clinical_text</span>, type = <span class='st'>"doses"</span>),
abx_admin = <span class='fu'>ab_from_text</span>(<span class='kw'>clinical_text</span>, type = <span class='st'>"admin"</span>),
abx_coll = <span class='fu'>ab_from_text</span>(<span class='kw'>clinical_text</span>, collapse = <span class='st'>"|"</span>),
abx_coll_names = <span class='fu'>ab_from_text</span>(<span class='kw'>clinical_text</span>,
collapse = <span class='st'>"|"</span>,
translate_ab = <span class='st'>"name"</span>),
abx_coll_doses = <span class='fu'>ab_from_text</span>(<span class='kw'>clinical_text</span>,
type = <span class='st'>"doses"</span>,
collapse = <span class='st'>"|"</span>),
abx_coll_admin = <span class='fu'>ab_from_text</span>(<span class='kw'>clinical_text</span>,
type = <span class='st'>"admin"</span>,
collapse = <span class='st'>"|"</span>))
}</pre>
</div>
@ -354,7 +354,7 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>maturing<
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

40
docs/reference/ab_property.html
View File

@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9000</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -235,31 +235,31 @@
<p>Use these functions to return a specific property of an antibiotic from the <a href='antibiotics.html'>antibiotics</a> data set. All input values will be evaluated internally with <code><a href='as.ab.html'>as.ab()</a></code>.</p>
</div>
<pre class="usage"><span class='fu'>ab_name</span>(<span class='no'>x</span>, <span class='kw'>language</span> <span class='kw'>=</span> <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='kw'>tolower</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='no'>...</span>)
<pre class="usage"><span class='fu'>ab_name</span>(<span class='kw'>x</span>, language = <span class='fu'><a href='translate.html'>get_locale</a></span>(), tolower = <span class='fl'>FALSE</span>, <span class='kw'>...</span>)
<span class='fu'>ab_atc</span>(<span class='no'>x</span>, <span class='no'>...</span>)
<span class='fu'>ab_atc</span>(<span class='kw'>x</span>, <span class='kw'>...</span>)
<span class='fu'>ab_cid</span>(<span class='no'>x</span>, <span class='no'>...</span>)
<span class='fu'>ab_cid</span>(<span class='kw'>x</span>, <span class='kw'>...</span>)
<span class='fu'>ab_synonyms</span>(<span class='no'>x</span>, <span class='no'>...</span>)
<span class='fu'>ab_synonyms</span>(<span class='kw'>x</span>, <span class='kw'>...</span>)
<span class='fu'>ab_tradenames</span>(<span class='no'>x</span>, <span class='no'>...</span>)
<span class='fu'>ab_tradenames</span>(<span class='kw'>x</span>, <span class='kw'>...</span>)
<span class='fu'>ab_group</span>(<span class='no'>x</span>, <span class='kw'>language</span> <span class='kw'>=</span> <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='no'>...</span>)
<span class='fu'>ab_group</span>(<span class='kw'>x</span>, language = <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='kw'>...</span>)
<span class='fu'>ab_atc_group1</span>(<span class='no'>x</span>, <span class='kw'>language</span> <span class='kw'>=</span> <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='no'>...</span>)
<span class='fu'>ab_atc_group1</span>(<span class='kw'>x</span>, language = <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='kw'>...</span>)
<span class='fu'>ab_atc_group2</span>(<span class='no'>x</span>, <span class='kw'>language</span> <span class='kw'>=</span> <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='no'>...</span>)
<span class='fu'>ab_atc_group2</span>(<span class='kw'>x</span>, language = <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='kw'>...</span>)
<span class='fu'>ab_loinc</span>(<span class='no'>x</span>, <span class='no'>...</span>)
<span class='fu'>ab_loinc</span>(<span class='kw'>x</span>, <span class='kw'>...</span>)
<span class='fu'>ab_ddd</span>(<span class='no'>x</span>, <span class='kw'>administration</span> <span class='kw'>=</span> <span class='st'>"oral"</span>, <span class='kw'>units</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='no'>...</span>)
<span class='fu'>ab_ddd</span>(<span class='kw'>x</span>, administration = <span class='st'>"oral"</span>, units = <span class='fl'>FALSE</span>, <span class='kw'>...</span>)
<span class='fu'>ab_info</span>(<span class='no'>x</span>, <span class='kw'>language</span> <span class='kw'>=</span> <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='no'>...</span>)
<span class='fu'>ab_info</span>(<span class='kw'>x</span>, language = <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='kw'>...</span>)
<span class='fu'>ab_url</span>(<span class='no'>x</span>, <span class='kw'>open</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='no'>...</span>)
<span class='fu'>ab_url</span>(<span class='kw'>x</span>, open = <span class='fl'>FALSE</span>, <span class='kw'>...</span>)
<span class='fu'>ab_property</span>(<span class='no'>x</span>, <span class='kw'>property</span> <span class='kw'>=</span> <span class='st'>"name"</span>, <span class='kw'>language</span> <span class='kw'>=</span> <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='no'>...</span>)</pre>
<span class='fu'>ab_property</span>(<span class='kw'>x</span>, property = <span class='st'>"name"</span>, language = <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='kw'>...</span>)</pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
<table class="ref-arguments">
@ -348,15 +348,15 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
<span class='fu'>ab_url</span>(<span class='st'>"AMX"</span>) <span class='co'># link to the official WHO page</span>
<span class='co'># smart lowercase tranformation</span>
<span class='fu'>ab_name</span>(<span class='kw'>x</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"AMC"</span>, <span class='st'>"PLB"</span>)) <span class='co'># "Amoxicillin/clavulanic acid" "Polymyxin B"</span>
<span class='fu'>ab_name</span>(<span class='kw'>x</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"AMC"</span>, <span class='st'>"PLB"</span>),
<span class='kw'>tolower</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) <span class='co'># "amoxicillin/clavulanic acid" "polymyxin B"</span>
<span class='fu'>ab_name</span>(x = <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"AMC"</span>, <span class='st'>"PLB"</span>)) <span class='co'># "Amoxicillin/clavulanic acid" "Polymyxin B"</span>
<span class='fu'>ab_name</span>(x = <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"AMC"</span>, <span class='st'>"PLB"</span>),
tolower = <span class='fl'>TRUE</span>) <span class='co'># "amoxicillin/clavulanic acid" "polymyxin B"</span>
<span class='co'># defined daily doses (DDD)</span>
<span class='fu'>ab_ddd</span>(<span class='st'>"AMX"</span>, <span class='st'>"oral"</span>) <span class='co'># 1</span>
<span class='fu'>ab_ddd</span>(<span class='st'>"AMX"</span>, <span class='st'>"oral"</span>, <span class='kw'>units</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) <span class='co'># "g"</span>
<span class='fu'>ab_ddd</span>(<span class='st'>"AMX"</span>, <span class='st'>"oral"</span>, units = <span class='fl'>TRUE</span>) <span class='co'># "g"</span>
<span class='fu'>ab_ddd</span>(<span class='st'>"AMX"</span>, <span class='st'>"iv"</span>) <span class='co'># 1</span>
<span class='fu'>ab_ddd</span>(<span class='st'>"AMX"</span>, <span class='st'>"iv"</span>, <span class='kw'>units</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) <span class='co'># "g"</span>
<span class='fu'>ab_ddd</span>(<span class='st'>"AMX"</span>, <span class='st'>"iv"</span>, units = <span class='fl'>TRUE</span>) <span class='co'># "g"</span>
<span class='fu'>ab_info</span>(<span class='st'>"AMX"</span>) <span class='co'># all properties as a list</span>
@ -388,7 +388,7 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
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14
docs/reference/age.html
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@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -235,7 +235,7 @@
<p>Calculates age in years based on a reference date, which is the sytem date at default.</p>
</div>
<pre class="usage"><span class='fu'>age</span>(<span class='no'>x</span>, <span class='kw'>reference</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/Sys.time.html'>Sys.Date</a></span>(), <span class='kw'>exact</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='kw'>na.rm</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)</pre>
<pre class="usage"><span class='fu'>age</span>(<span class='kw'>x</span>, reference = <span class='fu'><a href='https://rdrr.io/r/base/Sys.time.html'>Sys.Date</a></span>(), exact = <span class='fl'>FALSE</span>, na.rm = <span class='fl'>FALSE</span>)</pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
<table class="ref-arguments">
@ -279,13 +279,13 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
<h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
<pre class="examples"><span class='co'># 10 random birth dates</span>
<span class='no'>df</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></span>(<span class='kw'>birth_date</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/Sys.time.html'>Sys.Date</a></span>() - <span class='fu'><a href='https://rdrr.io/r/stats/Uniform.html'>runif</a></span>(<span class='fl'>10</span>) * <span class='fl'>25000</span>)
<span class='kw'>df</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></span>(birth_date = <span class='fu'><a href='https://rdrr.io/r/base/Sys.time.html'>Sys.Date</a></span>() <span class='op'>-</span> <span class='fu'><a href='https://rdrr.io/r/stats/Uniform.html'>runif</a></span>(<span class='fl'>10</span>) <span class='op'>*</span> <span class='fl'>25000</span>)
<span class='co'># add ages</span>
<span class='no'>df</span>$<span class='no'>age</span> <span class='kw'>&lt;-</span> <span class='fu'>age</span>(<span class='no'>df</span>$<span class='no'>birth_date</span>)
<span class='kw'>df</span><span class='op'>$</span><span class='kw'>age</span> <span class='op'>&lt;-</span> <span class='fu'>age</span>(<span class='kw'>df</span><span class='op'>$</span><span class='kw'>birth_date</span>)
<span class='co'># add exact ages</span>
<span class='no'>df</span>$<span class='no'>age_exact</span> <span class='kw'>&lt;-</span> <span class='fu'>age</span>(<span class='no'>df</span>$<span class='no'>birth_date</span>, <span class='kw'>exact</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)
<span class='kw'>df</span><span class='op'>$</span><span class='kw'>age_exact</span> <span class='op'>&lt;-</span> <span class='fu'>age</span>(<span class='kw'>df</span><span class='op'>$</span><span class='kw'>birth_date</span>, exact = <span class='fl'>TRUE</span>)
<span class='no'>df</span></pre>
<span class='kw'>df</span></pre>
</div>
<div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
<nav id="toc" data-toggle="toc" class="sticky-top">
@ -301,7 +301,7 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

40
docs/reference/age_groups.html
View File

@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -235,7 +235,7 @@
<p>Split ages into age groups defined by the <code>split</code> parameter. This allows for easier demographic (antimicrobial resistance) analysis.</p>
</div>
<pre class="usage"><span class='fu'>age_groups</span>(<span class='no'>x</span>, <span class='kw'>split_at</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='fl'>12</span>, <span class='fl'>25</span>, <span class='fl'>55</span>, <span class='fl'>75</span>), <span class='kw'>na.rm</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)</pre>
<pre class="usage"><span class='fu'>age_groups</span>(<span class='kw'>x</span>, split_at = <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='fl'>12</span>, <span class='fl'>25</span>, <span class='fl'>55</span>, <span class='fl'>75</span>), na.rm = <span class='fl'>FALSE</span>)</pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
<table class="ref-arguments">
@ -287,36 +287,36 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
<div class='dont-index'><p>To determine ages, based on one or more reference dates, use the <code><a href='age.html'>age()</a></code> function.</p></div>
<h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
<pre class="examples"><span class='no'>ages</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='fl'>3</span>, <span class='fl'>8</span>, <span class='fl'>16</span>, <span class='fl'>54</span>, <span class='fl'>31</span>, <span class='fl'>76</span>, <span class='fl'>101</span>, <span class='fl'>43</span>, <span class='fl'>21</span>)
<pre class="examples"><span class='kw'>ages</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='fl'>3</span>, <span class='fl'>8</span>, <span class='fl'>16</span>, <span class='fl'>54</span>, <span class='fl'>31</span>, <span class='fl'>76</span>, <span class='fl'>101</span>, <span class='fl'>43</span>, <span class='fl'>21</span>)
<span class='co'># split into 0-49 and 50+</span>
<span class='fu'>age_groups</span>(<span class='no'>ages</span>, <span class='fl'>50</span>)
<span class='fu'>age_groups</span>(<span class='kw'>ages</span>, <span class='fl'>50</span>)
<span class='co'># split into 0-19, 20-49 and 50+</span>
<span class='fu'>age_groups</span>(<span class='no'>ages</span>, <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='fl'>20</span>, <span class='fl'>50</span>))
<span class='fu'>age_groups</span>(<span class='kw'>ages</span>, <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='fl'>20</span>, <span class='fl'>50</span>))
<span class='co'># split into groups of ten years</span>
<span class='fu'>age_groups</span>(<span class='no'>ages</span>, <span class='fl'>1</span>:<span class='fl'>10</span> * <span class='fl'>10</span>)
<span class='fu'>age_groups</span>(<span class='no'>ages</span>, <span class='kw'>split_at</span> <span class='kw'>=</span> <span class='st'>"tens"</span>)
<span class='fu'>age_groups</span>(<span class='kw'>ages</span>, <span class='fl'>1</span><span class='op'>:</span><span class='fl'>10</span> <span class='op'>*</span> <span class='fl'>10</span>)
<span class='fu'>age_groups</span>(<span class='kw'>ages</span>, split_at = <span class='st'>"tens"</span>)
<span class='co'># split into groups of five years</span>
<span class='fu'>age_groups</span>(<span class='no'>ages</span>, <span class='fl'>1</span>:<span class='fl'>20</span> * <span class='fl'>5</span>)
<span class='fu'>age_groups</span>(<span class='no'>ages</span>, <span class='kw'>split_at</span> <span class='kw'>=</span> <span class='st'>"fives"</span>)
<span class='fu'>age_groups</span>(<span class='kw'>ages</span>, <span class='fl'>1</span><span class='op'>:</span><span class='fl'>20</span> <span class='op'>*</span> <span class='fl'>5</span>)
<span class='fu'>age_groups</span>(<span class='kw'>ages</span>, split_at = <span class='st'>"fives"</span>)
<span class='co'># split specifically for children</span>
<span class='fu'>age_groups</span>(<span class='no'>ages</span>, <span class='st'>"children"</span>)
<span class='fu'>age_groups</span>(<span class='kw'>ages</span>, <span class='st'>"children"</span>)
<span class='co'># same:</span>
<span class='fu'>age_groups</span>(<span class='no'>ages</span>, <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='fl'>1</span>, <span class='fl'>2</span>, <span class='fl'>4</span>, <span class='fl'>6</span>, <span class='fl'>13</span>, <span class='fl'>17</span>))
<span class='fu'>age_groups</span>(<span class='kw'>ages</span>, <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='fl'>1</span>, <span class='fl'>2</span>, <span class='fl'>4</span>, <span class='fl'>6</span>, <span class='fl'>13</span>, <span class='fl'>17</span>))
<span class='kw'>if</span> (<span class='fl'>FALSE</span>) {
<span class='co'>if</span> (<span class='fl'>FALSE</span>) {
<span class='co'># resistance of ciprofloxacine per age group</span>
<span class='fu'><a href='https://rdrr.io/r/base/library.html'>library</a></span>(<span class='no'>dplyr</span>)
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='first_isolate.html'>filter_first_isolate</a></span>() <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span>(<span class='no'>mo</span> <span class='kw'>==</span> <span class='fu'><a href='as.mo.html'>as.mo</a></span>(<span class='st'>"E. coli"</span>)) <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span>(<span class='kw'>age_group</span> <span class='kw'>=</span> <span class='fu'>age_groups</span>(<span class='no'>age</span>)) <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='no'>age_group</span>, <span class='no'>CIP</span>) <span class='kw'>%&gt;%</span>
<span class='fu'><a href='ggplot_rsi.html'>ggplot_rsi</a></span>(<span class='kw'>x</span> <span class='kw'>=</span> <span class='st'>"age_group"</span>)
<span class='fu'><a href='https://rdrr.io/r/base/library.html'>library</a></span>(<span class='kw'><a href='https://dplyr.tidyverse.org'>dplyr</a></span>)
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='first_isolate.html'>filter_first_isolate</a></span>() <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span>(<span class='kw'>mo</span> <span class='op'>==</span> <span class='fu'><a href='as.mo.html'>as.mo</a></span>(<span class='st'>"E. coli"</span>)) <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span>(age_group = <span class='fu'>age_groups</span>(<span class='kw'>age</span>)) <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='kw'>age_group</span>, <span class='kw'>CIP</span>) <span class='op'>%&gt;%</span>
<span class='fu'><a href='ggplot_rsi.html'>ggplot_rsi</a></span>(x = <span class='st'>"age_group"</span>)
}</pre>
</div>
<div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
@ -333,7 +333,7 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

44
docs/reference/antibiotic_class_selectors.html
View File

@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9000</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -235,7 +235,7 @@
<p>Use these selection helpers inside any function that allows <a href='https://tidyselect.r-lib.org/reference/language.html'>Tidyverse selections</a>, like <code><a href='https://dplyr.tidyverse.org/reference/select.html'>dplyr::select()</a></code> or <code><a href='https://tidyr.tidyverse.org/reference/pivot_longer.html'>tidyr::pivot_longer()</a></code>. They help to select the columns of antibiotics that are of a specific antibiotic class, without the need to define the columns or antibiotic abbreviations.</p>
</div>
<pre class="usage"><span class='fu'>ab_class</span>(<span class='no'>ab_class</span>)
<pre class="usage"><span class='fu'>ab_class</span>(<span class='kw'>ab_class</span>)
<span class='fu'>aminoglycosides</span>()
@ -281,32 +281,32 @@
<div class='dont-index'><p><code><a href='filter_ab_class.html'>filter_ab_class()</a></code> for the <code><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter()</a></code> equivalent.</p></div>
<h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
<pre class="examples"><span class='kw'>if</span> (<span class='fl'>FALSE</span>) {
<span class='fu'><a href='https://rdrr.io/r/base/library.html'>library</a></span>(<span class='no'>dplyr</span>)
<pre class="examples"><span class='co'>if</span> (<span class='fl'>FALSE</span>) {
<span class='fu'><a href='https://rdrr.io/r/base/library.html'>library</a></span>(<span class='kw'><a href='https://dplyr.tidyverse.org'>dplyr</a></span>)
<span class='co'># this will select columns 'IPM' (imipenem) and 'MEM' (meropenem):</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='fu'>carbapenems</span>())
<span class='co'># this will select columns 'mo', 'AMK', 'GEN', 'KAN' and 'TOB':</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='no'>mo</span>, <span class='fu'>aminoglycosides</span>())
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='kw'>mo</span>, <span class='fu'>aminoglycosides</span>())
<span class='co'># this will select columns 'mo' and all antimycobacterial drugs ('RIF'):</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='no'>mo</span>, <span class='fu'>ab_class</span>(<span class='st'>"mycobact"</span>))
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='kw'>mo</span>, <span class='fu'>ab_class</span>(<span class='st'>"mycobact"</span>))
<span class='co'># get bug/drug combinations for only macrolides in Gram-positives:</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span>(<span class='fu'><a href='mo_property.html'>mo_gramstain</a></span>(<span class='no'>mo</span>) <span class='kw'>%like%</span> <span class='st'>"pos"</span>) <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='no'>mo</span>, <span class='fu'>macrolides</span>()) <span class='kw'>%&gt;%</span>
<span class='fu'><a href='bug_drug_combinations.html'>bug_drug_combinations</a></span>() <span class='kw'>%&gt;%</span>
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span>(<span class='fu'><a href='mo_property.html'>mo_gramstain</a></span>(<span class='kw'>mo</span>) <span class='op'>%like%</span> <span class='st'>"pos"</span>) <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='kw'>mo</span>, <span class='fu'>macrolides</span>()) <span class='op'>%&gt;%</span>
<span class='fu'><a href='bug_drug_combinations.html'>bug_drug_combinations</a></span>() <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://rdrr.io/r/base/format.html'>format</a></span>()
<span class='fu'><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></span>(<span class='kw'>irrelevant</span> <span class='kw'>=</span> <span class='st'>"value"</span>,
<span class='kw'>J01CA01</span> <span class='kw'>=</span> <span class='st'>"S"</span>) <span class='kw'>%&gt;%</span> <span class='co'># ATC code of ampicillin</span>
<span class='fu'><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></span>(irrelevant = <span class='st'>"value"</span>,
J01CA01 = <span class='st'>"S"</span>) <span class='op'>%&gt;%</span> <span class='co'># ATC code of ampicillin</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='fu'>penicillins</span>()) <span class='co'># so the 'J01CA01' column is selected</span>
}</pre>
@ -325,7 +325,7 @@
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

8
docs/reference/antibiotics.html
View File

@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -235,9 +235,9 @@
<p>Two data sets containing all antibiotics/antimycotics and antivirals. Use <code><a href='as.ab.html'>as.ab()</a></code> or one of the <code><a href='ab_property.html'>ab_property()</a></code> functions to retrieve values from the antibiotics data set. Three identifiers are included in this data set: an antibiotic ID (<code>ab</code>, primarily used in this package) as defined by WHONET/EARS-Net, an ATC code (<code>atc</code>) as defined by the WHO, and a Compound ID (<code>cid</code>) as found in PubChem. Other properties in this data set are derived from one or more of these codes.</p>
</div>
<pre class="usage"><span class='no'>antibiotics</span>
<pre class="usage"><span class='kw'>antibiotics</span>
<span class='no'>antivirals</span></pre>
<span class='kw'>antivirals</span></pre>
<h2 class="hasAnchor" id="format"><a class="anchor" href="#format"></a>Format</h2>
@ -334,7 +334,7 @@ This package contains <strong>all ~550 antibiotic, antimycotic and antiviral dru
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

8
docs/reference/as.ab.html
View File

@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -235,9 +235,9 @@
<p>Use this function to determine the antibiotic code of one or more antibiotics. The data set <a href='antibiotics.html'>antibiotics</a> will be searched for abbreviations, official names and synonyms (brand names).</p>
</div>
<pre class="usage"><span class='fu'>as.ab</span>(<span class='no'>x</span>, <span class='kw'>flag_multiple_results</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, <span class='no'>...</span>)
<pre class="usage"><span class='fu'>as.ab</span>(<span class='kw'>x</span>, flag_multiple_results = <span class='fl'>TRUE</span>, <span class='kw'>...</span>)
<span class='fu'>is.ab</span>(<span class='no'>x</span>)</pre>
<span class='fu'>is.ab</span>(<span class='kw'>x</span>)</pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
<table class="ref-arguments">
@ -344,7 +344,7 @@ This package contains <strong>all ~550 antibiotic, antimycotic and antiviral dru
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

38
docs/reference/as.disk.html
View File

@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -235,9 +235,9 @@
<p>This transforms a vector to a new class <code>disk</code>, which is a growth zone size (around an antibiotic disk) in millimetres between 6 and 50.</p>
</div>
<pre class="usage"><span class='fu'>as.disk</span>(<span class='no'>x</span>, <span class='kw'>na.rm</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<pre class="usage"><span class='fu'>as.disk</span>(<span class='kw'>x</span>, na.rm = <span class='fl'>FALSE</span>)
<span class='fu'>is.disk</span>(<span class='no'>x</span>)</pre>
<span class='fu'>is.disk</span>(<span class='kw'>x</span>)</pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
<table class="ref-arguments">
@ -275,24 +275,24 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
<div class='dont-index'><p><code><a href='as.rsi.html'>as.rsi()</a></code></p></div>
<h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
<pre class="examples"><span class='kw'>if</span> (<span class='fl'>FALSE</span>) {
<pre class="examples"><span class='co'>if</span> (<span class='fl'>FALSE</span>) {
<span class='co'># transform existing disk zones to the `disk` class</span>
<span class='fu'><a href='https://rdrr.io/r/base/library.html'>library</a></span>(<span class='no'>dplyr</span>)
<span class='no'>df</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></span>(<span class='kw'>microorganism</span> <span class='kw'>=</span> <span class='st'>"E. coli"</span>,
<span class='kw'>AMP</span> <span class='kw'>=</span> <span class='fl'>20</span>,
<span class='kw'>CIP</span> <span class='kw'>=</span> <span class='fl'>14</span>,
<span class='kw'>GEN</span> <span class='kw'>=</span> <span class='fl'>18</span>,
<span class='kw'>TOB</span> <span class='kw'>=</span> <span class='fl'>16</span>)
<span class='no'>df</span> <span class='kw'>&lt;-</span> <span class='no'>df</span> <span class='kw'>%&gt;%</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate_all.html'>mutate_at</a></span>(<span class='fu'><a href='https://dplyr.tidyverse.org/reference/vars.html'>vars</a></span>(<span class='no'>AMP</span>:<span class='no'>TOB</span>), <span class='no'>as.disk</span>)
<span class='no'>df</span>
<span class='fu'><a href='https://rdrr.io/r/base/library.html'>library</a></span>(<span class='kw'><a href='https://dplyr.tidyverse.org'>dplyr</a></span>)
<span class='kw'>df</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></span>(microorganism = <span class='st'>"E. coli"</span>,
AMP = <span class='fl'>20</span>,
CIP = <span class='fl'>14</span>,
GEN = <span class='fl'>18</span>,
TOB = <span class='fl'>16</span>)
<span class='kw'>df</span> <span class='op'>&lt;-</span> <span class='kw'>df</span> <span class='op'>%&gt;%</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate_all.html'>mutate_at</a></span>(<span class='fu'><a href='https://dplyr.tidyverse.org/reference/vars.html'>vars</a></span>(<span class='kw'>AMP</span><span class='op'>:</span><span class='kw'>TOB</span>), <span class='kw'>as.disk</span>)
<span class='kw'>df</span>
<span class='co'># interpret disk values, see ?as.rsi</span>
<span class='fu'><a href='as.rsi.html'>as.rsi</a></span>(<span class='kw'>x</span> <span class='kw'>=</span> <span class='fu'>as.disk</span>(<span class='fl'>18</span>),
<span class='kw'>mo</span> <span class='kw'>=</span> <span class='st'>"Strep pneu"</span>, <span class='co'># `mo` will be coerced with as.mo()</span>
<span class='kw'>ab</span> <span class='kw'>=</span> <span class='st'>"ampicillin"</span>, <span class='co'># and `ab` with as.ab()</span>
<span class='kw'>guideline</span> <span class='kw'>=</span> <span class='st'>"EUCAST"</span>)
<span class='fu'><a href='as.rsi.html'>as.rsi</a></span>(<span class='no'>df</span>)
<span class='fu'><a href='as.rsi.html'>as.rsi</a></span>(x = <span class='fu'>as.disk</span>(<span class='fl'>18</span>),
mo = <span class='st'>"Strep pneu"</span>, <span class='co'># `mo` will be coerced with as.mo()</span>
ab = <span class='st'>"ampicillin"</span>, <span class='co'># and `ab` with as.ab()</span>
guideline = <span class='st'>"EUCAST"</span>)
<span class='fu'><a href='as.rsi.html'>as.rsi</a></span>(<span class='kw'>df</span>)
}</pre>
</div>
<div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
@ -309,7 +309,7 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

32
docs/reference/as.mic.html
View File

@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -235,9 +235,9 @@
<p>This transforms a vector to a new class <code>mic</code>, which is an ordered <code><a href='https://rdrr.io/r/base/factor.html'>factor</a></code> with valid MIC values as levels. Invalid MIC values will be translated as <code>NA</code> with a warning.</p>
</div>
<pre class="usage"><span class='fu'>as.mic</span>(<span class='no'>x</span>, <span class='kw'>na.rm</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<pre class="usage"><span class='fu'>as.mic</span>(<span class='kw'>x</span>, na.rm = <span class='fl'>FALSE</span>)
<span class='fu'>is.mic</span>(<span class='no'>x</span>)</pre>
<span class='fu'>is.mic</span>(<span class='kw'>x</span>)</pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
<table class="ref-arguments">
@ -275,24 +275,24 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
<div class='dont-index'><p><code><a href='as.rsi.html'>as.rsi()</a></code></p></div>
<h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
<pre class="examples"><span class='no'>mic_data</span> <span class='kw'>&lt;-</span> <span class='fu'>as.mic</span>(<span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"&gt;=32"</span>, <span class='st'>"1.0"</span>, <span class='st'>"1"</span>, <span class='st'>"1.00"</span>, <span class='fl'>8</span>, <span class='st'>"&lt;=0.128"</span>, <span class='st'>"8"</span>, <span class='st'>"16"</span>, <span class='st'>"16"</span>))
<span class='fu'>is.mic</span>(<span class='no'>mic_data</span>)
<pre class="examples"><span class='kw'>mic_data</span> <span class='op'>&lt;-</span> <span class='fu'>as.mic</span>(<span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"&gt;=32"</span>, <span class='st'>"1.0"</span>, <span class='st'>"1"</span>, <span class='st'>"1.00"</span>, <span class='fl'>8</span>, <span class='st'>"&lt;=0.128"</span>, <span class='st'>"8"</span>, <span class='st'>"16"</span>, <span class='st'>"16"</span>))
<span class='fu'>is.mic</span>(<span class='kw'>mic_data</span>)
<span class='co'># this can also coerce combined MIC/RSI values:</span>
<span class='fu'>as.mic</span>(<span class='st'>"&lt;=0.002; S"</span>) <span class='co'># will return &lt;=0.002</span>
<span class='co'># interpret MIC values</span>
<span class='fu'><a href='as.rsi.html'>as.rsi</a></span>(<span class='kw'>x</span> <span class='kw'>=</span> <span class='fu'>as.mic</span>(<span class='fl'>2</span>),
<span class='kw'>mo</span> <span class='kw'>=</span> <span class='fu'><a href='as.mo.html'>as.mo</a></span>(<span class='st'>"S. pneumoniae"</span>),
<span class='kw'>ab</span> <span class='kw'>=</span> <span class='st'>"AMX"</span>,
<span class='kw'>guideline</span> <span class='kw'>=</span> <span class='st'>"EUCAST"</span>)
<span class='fu'><a href='as.rsi.html'>as.rsi</a></span>(<span class='kw'>x</span> <span class='kw'>=</span> <span class='fu'>as.mic</span>(<span class='fl'>4</span>),
<span class='kw'>mo</span> <span class='kw'>=</span> <span class='fu'><a href='as.mo.html'>as.mo</a></span>(<span class='st'>"S. pneumoniae"</span>),
<span class='kw'>ab</span> <span class='kw'>=</span> <span class='st'>"AMX"</span>,
<span class='kw'>guideline</span> <span class='kw'>=</span> <span class='st'>"EUCAST"</span>)
<span class='fu'><a href='as.rsi.html'>as.rsi</a></span>(x = <span class='fu'>as.mic</span>(<span class='fl'>2</span>),
mo = <span class='fu'><a href='as.mo.html'>as.mo</a></span>(<span class='st'>"S. pneumoniae"</span>),
ab = <span class='st'>"AMX"</span>,
guideline = <span class='st'>"EUCAST"</span>)
<span class='fu'><a href='as.rsi.html'>as.rsi</a></span>(x = <span class='fu'>as.mic</span>(<span class='fl'>4</span>),
mo = <span class='fu'><a href='as.mo.html'>as.mo</a></span>(<span class='st'>"S. pneumoniae"</span>),
ab = <span class='st'>"AMX"</span>,
guideline = <span class='st'>"EUCAST"</span>)
<span class='fu'><a href='https://rdrr.io/r/base/plot.html'>plot</a></span>(<span class='no'>mic_data</span>)
<span class='fu'><a href='https://rdrr.io/r/graphics/barplot.html'>barplot</a></span>(<span class='no'>mic_data</span>)</pre>
<span class='fu'><a href='https://rdrr.io/r/graphics/plot.default.html'>plot</a></span>(<span class='kw'>mic_data</span>)
<span class='fu'><a href='https://rdrr.io/r/graphics/barplot.html'>barplot</a></span>(<span class='kw'>mic_data</span>)</pre>
</div>
<div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
<nav id="toc" data-toggle="toc" class="sticky-top">
@ -308,7 +308,7 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

48
docs/reference/as.mo.html
View File

@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -236,15 +236,15 @@
</div>
<pre class="usage"><span class='fu'>as.mo</span>(
<span class='no'>x</span>,
<span class='kw'>Becker</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>,
<span class='kw'>Lancefield</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>,
<span class='kw'>allow_uncertain</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>,
<span class='kw'>reference_df</span> <span class='kw'>=</span> <span class='fu'><a href='mo_source.html'>get_mo_source</a></span>(),
<span class='no'>...</span>
<span class='kw'>x</span>,
Becker = <span class='fl'>FALSE</span>,
Lancefield = <span class='fl'>FALSE</span>,
allow_uncertain = <span class='fl'>TRUE</span>,
reference_df = <span class='fu'><a href='mo_source.html'>get_mo_source</a></span>(),
<span class='kw'>...</span>
)
<span class='fu'>is.mo</span>(<span class='no'>x</span>)
<span class='fu'>is.mo</span>(<span class='kw'>x</span>)
<span class='fu'>mo_failures</span>()
@ -299,10 +299,10 @@
B_KLBSL_PNMN_RHNS Klebsiella pneumoniae rhinoscleromatis
| | | |
| | | |
| | | ---&amp;gt; subspecies, a 4-5 letter acronym
| | ----&amp;gt; species, a 4-5 letter acronym
| ----&amp;gt; genus, a 5-7 letter acronym
----&amp;gt; taxonomic kingdom: A (Archaea), AN (Animalia), B (Bacteria),
| | | ---&gt; subspecies, a 4-5 letter acronym
| | ----&gt; species, a 4-5 letter acronym
| ----&gt; genus, a 5-7 letter acronym
----&gt; taxonomic kingdom: A (Archaea), AN (Animalia), B (Bacteria),
C (Chromista), F (Fungi), P (Protozoa)
</pre>
@ -412,32 +412,32 @@ This package contains the complete taxonomic tree of almost all microorganisms (
<span class='fu'>as.mo</span>(<span class='st'>"GBS"</span>) <span class='co'># Group B Streptococci</span>
<span class='fu'>as.mo</span>(<span class='st'>"S. epidermidis"</span>) <span class='co'># will remain species: B_STPHY_EPDR</span>
<span class='fu'>as.mo</span>(<span class='st'>"S. epidermidis"</span>, <span class='kw'>Becker</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) <span class='co'># will not remain species: B_STPHY_CONS</span>
<span class='fu'>as.mo</span>(<span class='st'>"S. epidermidis"</span>, Becker = <span class='fl'>TRUE</span>) <span class='co'># will not remain species: B_STPHY_CONS</span>
<span class='fu'>as.mo</span>(<span class='st'>"S. pyogenes"</span>) <span class='co'># will remain species: B_STRPT_PYGN</span>
<span class='fu'>as.mo</span>(<span class='st'>"S. pyogenes"</span>, <span class='kw'>Lancefield</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) <span class='co'># will not remain species: B_STRPT_GRPA</span>
<span class='fu'>as.mo</span>(<span class='st'>"S. pyogenes"</span>, Lancefield = <span class='fl'>TRUE</span>) <span class='co'># will not remain species: B_STRPT_GRPA</span>
<span class='co'># All mo_* functions use as.mo() internally too (see ?mo_property):</span>
<span class='fu'><a href='mo_property.html'>mo_genus</a></span>(<span class='st'>"E. coli"</span>) <span class='co'># returns "Escherichia"</span>
<span class='fu'><a href='mo_property.html'>mo_gramstain</a></span>(<span class='st'>"E. coli"</span>) <span class='co'># returns "Gram negative"</span>
<span class='co'># }</span>
<span class='kw'>if</span> (<span class='fl'>FALSE</span>) {
<span class='no'>df</span>$<span class='no'>mo</span> <span class='kw'>&lt;-</span> <span class='fu'>as.mo</span>(<span class='no'>df</span>$<span class='no'>microorganism_name</span>)
<span class='co'>if</span> (<span class='fl'>FALSE</span>) {
<span class='kw'>df</span><span class='op'>$</span><span class='kw'>mo</span> <span class='op'>&lt;-</span> <span class='fu'>as.mo</span>(<span class='kw'>df</span><span class='op'>$</span><span class='kw'>microorganism_name</span>)
<span class='co'># the select function of the Tidyverse is also supported:</span>
<span class='fu'><a href='https://rdrr.io/r/base/library.html'>library</a></span>(<span class='no'>dplyr</span>)
<span class='no'>df</span>$<span class='no'>mo</span> <span class='kw'>&lt;-</span> <span class='no'>df</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='no'>microorganism_name</span>) <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://rdrr.io/r/base/library.html'>library</a></span>(<span class='kw'><a href='https://dplyr.tidyverse.org'>dplyr</a></span>)
<span class='kw'>df</span><span class='op'>$</span><span class='kw'>mo</span> <span class='op'>&lt;-</span> <span class='kw'>df</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='kw'>microorganism_name</span>) <span class='op'>%&gt;%</span>
<span class='fu'>as.mo</span>()
<span class='co'># and can even contain 2 columns, which is convenient for genus/species combinations:</span>
<span class='no'>df</span>$<span class='no'>mo</span> <span class='kw'>&lt;-</span> <span class='no'>df</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='no'>genus</span>, <span class='no'>species</span>) <span class='kw'>%&gt;%</span>
<span class='kw'>df</span><span class='op'>$</span><span class='kw'>mo</span> <span class='op'>&lt;-</span> <span class='kw'>df</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='kw'>genus</span>, <span class='kw'>species</span>) <span class='op'>%&gt;%</span>
<span class='fu'>as.mo</span>()
<span class='co'># although this works easier and does the same:</span>
<span class='no'>df</span> <span class='kw'>&lt;-</span> <span class='no'>df</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span>(<span class='kw'>mo</span> <span class='kw'>=</span> <span class='fu'>as.mo</span>(<span class='fu'><a href='https://rdrr.io/r/base/paste.html'>paste</a></span>(<span class='no'>genus</span>, <span class='no'>species</span>)))
<span class='kw'>df</span> <span class='op'>&lt;-</span> <span class='kw'>df</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span>(mo = <span class='fu'>as.mo</span>(<span class='fu'><a href='https://rdrr.io/r/base/paste.html'>paste</a></span>(<span class='kw'>genus</span>, <span class='kw'>species</span>)))
}</pre>
</div>
<div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
@ -454,7 +454,7 @@ This package contains the complete taxonomic tree of almost all microorganisms (
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

149
docs/reference/as.rsi.html
View File

@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9000</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -235,41 +235,41 @@
<p>Interpret minimum inhibitory concentration (MIC) values and disk diffusion diameters according to EUCAST or CLSI, or clean up existing R/SI values. This transforms the input to a new class <code>rsi</code>, which is an ordered factor with levels <code>S &lt; I &lt; R</code>. Values that cannot be interpreted will be returned as <code>NA</code> with a warning.</p>
</div>
<pre class="usage"><span class='fu'>as.rsi</span>(<span class='no'>x</span>, <span class='no'>...</span>)
<pre class="usage"><span class='fu'>as.rsi</span>(<span class='kw'>x</span>, <span class='kw'>...</span>)
<span class='fu'>is.rsi</span>(<span class='no'>x</span>)
<span class='fu'>is.rsi</span>(<span class='kw'>x</span>)
<span class='fu'>is.rsi.eligible</span>(<span class='no'>x</span>, <span class='kw'>threshold</span> <span class='kw'>=</span> <span class='fl'>0.05</span>)
<span class='fu'>is.rsi.eligible</span>(<span class='kw'>x</span>, threshold = <span class='fl'>0.05</span>)
<span class='co'># S3 method for mic</span>
<span class='fu'>as.rsi</span>(
<span class='no'>x</span>,
<span class='kw'>mo</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>ab</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/deparse.html'>deparse</a></span>(<span class='fu'><a href='https://rdrr.io/r/base/substitute.html'>substitute</a></span>(<span class='no'>x</span>)),
<span class='kw'>guideline</span> <span class='kw'>=</span> <span class='st'>"EUCAST"</span>,
<span class='kw'>uti</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>,
<span class='kw'>conserve_capped_values</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>,
<span class='no'>...</span>
<span class='kw'>x</span>,
mo = <span class='kw'>NULL</span>,
ab = <span class='fu'><a href='https://rdrr.io/r/base/deparse.html'>deparse</a></span>(<span class='fu'><a href='https://rdrr.io/r/base/substitute.html'>substitute</a></span>(<span class='kw'>x</span>)),
guideline = <span class='st'>"EUCAST"</span>,
uti = <span class='fl'>FALSE</span>,
conserve_capped_values = <span class='fl'>FALSE</span>,
<span class='kw'>...</span>
)
<span class='co'># S3 method for disk</span>
<span class='fu'>as.rsi</span>(
<span class='no'>x</span>,
<span class='kw'>mo</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>ab</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/deparse.html'>deparse</a></span>(<span class='fu'><a href='https://rdrr.io/r/base/substitute.html'>substitute</a></span>(<span class='no'>x</span>)),
<span class='kw'>guideline</span> <span class='kw'>=</span> <span class='st'>"EUCAST"</span>,
<span class='kw'>uti</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>,
<span class='no'>...</span>
<span class='kw'>x</span>,
mo = <span class='kw'>NULL</span>,
ab = <span class='fu'><a href='https://rdrr.io/r/base/deparse.html'>deparse</a></span>(<span class='fu'><a href='https://rdrr.io/r/base/substitute.html'>substitute</a></span>(<span class='kw'>x</span>)),
guideline = <span class='st'>"EUCAST"</span>,
uti = <span class='fl'>FALSE</span>,
<span class='kw'>...</span>
)
<span class='co'># S3 method for data.frame</span>
<span class='fu'>as.rsi</span>(
<span class='no'>x</span>,
<span class='kw'>col_mo</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>guideline</span> <span class='kw'>=</span> <span class='st'>"EUCAST"</span>,
<span class='kw'>uti</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>conserve_capped_values</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>,
<span class='no'>...</span>
<span class='kw'>x</span>,
col_mo = <span class='kw'>NULL</span>,
guideline = <span class='st'>"EUCAST"</span>,
uti = <span class='kw'>NULL</span>,
conserve_capped_values = <span class='fl'>FALSE</span>,
<span class='kw'>...</span>
)</pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
@ -325,13 +325,13 @@
<p>The <code>as.rsi()</code> function works in four ways:</p><ol>
<li><p>For <strong>cleaning raw / untransformed data</strong>. The data will be cleaned to only contain values S, I and R and will try its best to determine this with some intelligence. For example, mixed values with R/SI interpretations and MIC values such as <code>"&lt;0.25; S"</code> will be coerced to <code>"S"</code>. Combined interpretations for multiple test methods (as seen in laboratory records) such as <code>"S; S"</code> will be coerced to <code>"S"</code>, but a value like <code>"S; I"</code> will return <code>NA</code> with a warning that the input is unclear.</p></li>
<li><p>For <strong>interpreting minimum inhibitory concentration (MIC) values</strong> according to EUCAST or CLSI. You must clean your MIC values first using <code><a href='as.mic.html'>as.mic()</a></code>, that also gives your columns the new data class <code><a href='as.mic.html'>mic</a></code>. Also, be sure to have a column with microorganism names or codes. It will be found automatically, but can be set manually using the <code>mo</code> parameter.</p><ul>
<li><p>Using <code>dplyr</code>, R/SI interpretation can be done very easily with either:</p><pre><span class='no'>your_data</span> <span class='kw'>%&amp;gt;%</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate_all.html'>mutate_if</a></span>(<span class='no'>is.mic</span>, <span class='no'>as.rsi</span>) <span class='co'># until dplyr 1.0.0</span>
<span class='no'>your_data</span> <span class='kw'>%&amp;gt;%</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span>(<span class='fu'><a href='https://dplyr.tidyverse.org/reference/across.html'>across</a></span>(<span class='fu'>where</span>(<span class='no'>is.mic</span>), <span class='no'>as.rsi</span>)) <span class='co'># since dplyr 1.0.0</span></pre></li>
<li><p>Using <code>dplyr</code>, R/SI interpretation can be done very easily with either:</p><pre><span class='kw'>your_data</span> <span class='op'>%&gt;%</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate_all.html'>mutate_if</a></span>(<span class='kw'>is.mic</span>, <span class='kw'>as.rsi</span>) <span class='co'># until dplyr 1.0.0</span>
<span class='kw'>your_data</span> <span class='op'>%&gt;%</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span>(<span class='fu'><a href='https://dplyr.tidyverse.org/reference/across.html'>across</a></span>(<span class='fu'>where</span>(<span class='kw'>is.mic</span>), <span class='kw'>as.rsi</span>)) <span class='co'># since dplyr 1.0.0</span></pre></li>
<li><p>Operators like "&lt;=" will be stripped before interpretation. When using <code>conserve_capped_values = TRUE</code>, an MIC value of e.g. "&gt;2" will always return "R", even if the breakpoint according to the chosen guideline is "&gt;=4". This is to prevent that capped values from raw laboratory data would not be treated conservatively. The default behaviour (<code>conserve_capped_values = FALSE</code>) considers "&gt;2" to be lower than "&gt;=4" and might in this case return "S" or "I".</p></li>
</ul></li>
<li><p>For <strong>interpreting disk diffusion diameters</strong> according to EUCAST or CLSI. You must clean your disk zones first using <code><a href='as.disk.html'>as.disk()</a></code>, that also gives your columns the new data class <code><a href='as.disk.html'>disk</a></code>. Also, be sure to have a column with microorganism names or codes. It will be found automatically, but can be set manually using the <code>mo</code> parameter.</p><ul>
<li><p>Using <code>dplyr</code>, R/SI interpretation can be done very easily with either:</p><pre><span class='no'>your_data</span> <span class='kw'>%&amp;gt;%</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate_all.html'>mutate_if</a></span>(<span class='no'>is.disk</span>, <span class='no'>as.rsi</span>) <span class='co'># until dplyr 1.0.0</span>
<span class='no'>your_data</span> <span class='kw'>%&amp;gt;%</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span>(<span class='fu'><a href='https://dplyr.tidyverse.org/reference/across.html'>across</a></span>(<span class='fu'>where</span>(<span class='no'>is.disk</span>), <span class='no'>as.rsi</span>)) <span class='co'># since dplyr 1.0.0</span></pre></li>
<li><p>Using <code>dplyr</code>, R/SI interpretation can be done very easily with either:</p><pre><span class='kw'>your_data</span> <span class='op'>%&gt;%</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate_all.html'>mutate_if</a></span>(<span class='kw'>is.disk</span>, <span class='kw'>as.rsi</span>) <span class='co'># until dplyr 1.0.0</span>
<span class='kw'>your_data</span> <span class='op'>%&gt;%</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span>(<span class='fu'><a href='https://dplyr.tidyverse.org/reference/across.html'>across</a></span>(<span class='fu'>where</span>(<span class='kw'>is.disk</span>), <span class='kw'>as.rsi</span>)) <span class='co'># since dplyr 1.0.0</span></pre></li>
</ul></li>
<li><p>For <strong>interpreting a complete data set</strong>, with automatic determination of MIC values, disk diffusion diameters, microorganism names or codes, and antimicrobial test results. This is done very simply by running <code>as.rsi(data)</code>.</p></li>
</ol>
@ -389,53 +389,54 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
<div class='dont-index'><p><code><a href='as.mic.html'>as.mic()</a></code>, <code><a href='as.disk.html'>as.disk()</a></code>, <code><a href='as.mo.html'>as.mo()</a></code></p></div>
<h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
<pre class="examples"><span class='fu'><a href='https://rdrr.io/r/base/summary.html'>summary</a></span>(<span class='no'>example_isolates</span>) <span class='co'># see all R/SI results at a glance</span>
<pre class="examples"><span class='fu'><a href='https://rdrr.io/r/base/summary.html'>summary</a></span>(<span class='kw'>example_isolates</span>) <span class='co'># see all R/SI results at a glance</span>
<span class='co'># For INTERPRETING disk diffusion and MIC values -----------------------</span>
<span class='co'># a whole data set, even with combined MIC values and disk zones</span>
<span class='no'>df</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></span>(<span class='kw'>microorganism</span> <span class='kw'>=</span> <span class='st'>"E. coli"</span>,
<span class='kw'>AMP</span> <span class='kw'>=</span> <span class='fu'><a href='as.mic.html'>as.mic</a></span>(<span class='fl'>8</span>),
<span class='kw'>CIP</span> <span class='kw'>=</span> <span class='fu'><a href='as.mic.html'>as.mic</a></span>(<span class='fl'>0.256</span>),
<span class='kw'>GEN</span> <span class='kw'>=</span> <span class='fu'><a href='as.disk.html'>as.disk</a></span>(<span class='fl'>18</span>),
<span class='kw'>TOB</span> <span class='kw'>=</span> <span class='fu'><a href='as.disk.html'>as.disk</a></span>(<span class='fl'>16</span>),
<span class='kw'>NIT</span> <span class='kw'>=</span> <span class='fu'><a href='as.mic.html'>as.mic</a></span>(<span class='fl'>32</span>))
<span class='fu'>as.rsi</span>(<span class='no'>df</span>)
<span class='kw'>df</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></span>(microorganism = <span class='st'>"E. coli"</span>,
AMP = <span class='fu'><a href='as.mic.html'>as.mic</a></span>(<span class='fl'>8</span>),
CIP = <span class='fu'><a href='as.mic.html'>as.mic</a></span>(<span class='fl'>0.256</span>),
GEN = <span class='fu'><a href='as.disk.html'>as.disk</a></span>(<span class='fl'>18</span>),
TOB = <span class='fu'><a href='as.disk.html'>as.disk</a></span>(<span class='fl'>16</span>),
NIT = <span class='fu'><a href='as.mic.html'>as.mic</a></span>(<span class='fl'>32</span>))
<span class='fu'>as.rsi</span>(<span class='kw'>df</span>)
<span class='kw'>if</span> (<span class='fl'>FALSE</span>) {
<span class='co'>if</span> (<span class='fl'>FALSE</span>) {
<span class='co'># the dplyr way</span>
<span class='fu'><a href='https://rdrr.io/r/base/library.html'>library</a></span>(<span class='no'>dplyr</span>)
<span class='no'>df</span> <span class='kw'>%&gt;%</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate_all.html'>mutate_at</a></span>(<span class='fu'><a href='https://dplyr.tidyverse.org/reference/vars.html'>vars</a></span>(<span class='no'>AMP</span>:<span class='no'>TOB</span>), <span class='no'>as.rsi</span>)
<span class='no'>df</span> <span class='kw'>%&gt;%</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span>(<span class='fu'><a href='https://dplyr.tidyverse.org/reference/across.html'>across</a></span>(<span class='no'>AMP</span>:<span class='no'>TOB</span>), <span class='no'>as.rsi</span>)
<span class='no'>df</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate_all.html'>mutate_at</a></span>(<span class='fu'><a href='https://dplyr.tidyverse.org/reference/vars.html'>vars</a></span>(<span class='no'>AMP</span>:<span class='no'>TOB</span>), <span class='no'>as.rsi</span>, <span class='kw'>mo</span> <span class='kw'>=</span> <span class='st'>"E. coli"</span>)
<span class='fu'><a href='https://rdrr.io/r/base/library.html'>library</a></span>(<span class='kw'><a href='https://dplyr.tidyverse.org'>dplyr</a></span>)
<span class='kw'>df</span> <span class='op'>%&gt;%</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate_all.html'>mutate_at</a></span>(<span class='fu'><a href='https://dplyr.tidyverse.org/reference/vars.html'>vars</a></span>(<span class='kw'>AMP</span><span class='op'>:</span><span class='kw'>TOB</span>), <span class='kw'>as.rsi</span>)
<span class='kw'>df</span> <span class='op'>%&gt;%</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span>(<span class='fu'><a href='https://dplyr.tidyverse.org/reference/across.html'>across</a></span>(<span class='kw'>AMP</span><span class='op'>:</span><span class='kw'>TOB</span>), <span class='kw'>as.rsi</span>)
<span class='kw'>df</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate_all.html'>mutate_at</a></span>(<span class='fu'><a href='https://dplyr.tidyverse.org/reference/vars.html'>vars</a></span>(<span class='kw'>AMP</span><span class='op'>:</span><span class='kw'>TOB</span>), <span class='kw'>as.rsi</span>, mo = <span class='st'>"E. coli"</span>)
<span class='co'># to include information about urinary tract infections (UTI)</span>
<span class='fu'><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></span>(<span class='kw'>mo</span> <span class='kw'>=</span> <span class='st'>"E. coli"</span>,
<span class='kw'>NIT</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"&lt;= 2"</span>, <span class='fl'>32</span>),
<span class='kw'>from_the_bladder</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='fl'>TRUE</span>, <span class='fl'>FALSE</span>)) <span class='kw'>%&gt;%</span>
<span class='fu'>as.rsi</span>(<span class='kw'>uti</span> <span class='kw'>=</span> <span class='st'>"from_the_bladder"</span>)
<span class='fu'><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></span>(<span class='kw'>mo</span> <span class='kw'>=</span> <span class='st'>"E. coli"</span>,
<span class='kw'>NIT</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"&lt;= 2"</span>, <span class='fl'>32</span>),
<span class='kw'>specimen</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"urine"</span>, <span class='st'>"blood"</span>)) <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></span>(mo = <span class='st'>"E. coli"</span>,
NIT = <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"&lt;= 2"</span>, <span class='fl'>32</span>),
from_the_bladder = <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='fl'>TRUE</span>, <span class='fl'>FALSE</span>)) <span class='op'>%&gt;%</span>
<span class='fu'>as.rsi</span>(uti = <span class='st'>"from_the_bladder"</span>)
<span class='fu'><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></span>(mo = <span class='st'>"E. coli"</span>,
NIT = <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"&lt;= 2"</span>, <span class='fl'>32</span>),
specimen = <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"urine"</span>, <span class='st'>"blood"</span>)) <span class='op'>%&gt;%</span>
<span class='fu'>as.rsi</span>() <span class='co'># automatically determines urine isolates</span>
<span class='no'>df</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate_all.html'>mutate_at</a></span>(<span class='fu'><a href='https://dplyr.tidyverse.org/reference/vars.html'>vars</a></span>(<span class='no'>AMP</span>:<span class='no'>NIT</span>), <span class='no'>as.rsi</span>, <span class='kw'>mo</span> <span class='kw'>=</span> <span class='st'>"E. coli"</span>, <span class='kw'>uti</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)
<span class='kw'>df</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate_all.html'>mutate_at</a></span>(<span class='fu'><a href='https://dplyr.tidyverse.org/reference/vars.html'>vars</a></span>(<span class='kw'>AMP</span><span class='op'>:</span><span class='kw'>NIT</span>), <span class='kw'>as.rsi</span>, mo = <span class='st'>"E. coli"</span>, uti = <span class='fl'>TRUE</span>)
}
<span class='co'># for single values</span>
<span class='fu'>as.rsi</span>(<span class='kw'>x</span> <span class='kw'>=</span> <span class='fu'><a href='as.mic.html'>as.mic</a></span>(<span class='fl'>2</span>),
<span class='kw'>mo</span> <span class='kw'>=</span> <span class='fu'><a href='as.mo.html'>as.mo</a></span>(<span class='st'>"S. pneumoniae"</span>),
<span class='kw'>ab</span> <span class='kw'>=</span> <span class='st'>"AMP"</span>,
<span class='kw'>guideline</span> <span class='kw'>=</span> <span class='st'>"EUCAST"</span>)
<span class='fu'>as.rsi</span>(x = <span class='fu'><a href='as.mic.html'>as.mic</a></span>(<span class='fl'>2</span>),
mo = <span class='fu'><a href='as.mo.html'>as.mo</a></span>(<span class='st'>"S. pneumoniae"</span>),
ab = <span class='st'>"AMP"</span>,
guideline = <span class='st'>"EUCAST"</span>)
<span class='fu'>as.rsi</span>(<span class='kw'>x</span> <span class='kw'>=</span> <span class='fu'><a href='as.disk.html'>as.disk</a></span>(<span class='fl'>18</span>),
<span class='kw'>mo</span> <span class='kw'>=</span> <span class='st'>"Strep pneu"</span>, <span class='co'># `mo` will be coerced with as.mo()</span>
<span class='kw'>ab</span> <span class='kw'>=</span> <span class='st'>"ampicillin"</span>, <span class='co'># and `ab` with as.ab()</span>
<span class='kw'>guideline</span> <span class='kw'>=</span> <span class='st'>"EUCAST"</span>)
<span class='fu'>as.rsi</span>(x = <span class='fu'><a href='as.disk.html'>as.disk</a></span>(<span class='fl'>18</span>),
mo = <span class='st'>"Strep pneu"</span>, <span class='co'># `mo` will be coerced with as.mo()</span>
ab = <span class='st'>"ampicillin"</span>, <span class='co'># and `ab` with as.ab()</span>
guideline = <span class='st'>"EUCAST"</span>)
<span class='co'># For CLEANING existing R/SI values ------------------------------------</span>
@ -443,27 +444,27 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
<span class='fu'>as.rsi</span>(<span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"S"</span>, <span class='st'>"I"</span>, <span class='st'>"R"</span>, <span class='st'>"A"</span>, <span class='st'>"B"</span>, <span class='st'>"C"</span>))
<span class='fu'>as.rsi</span>(<span class='st'>"&lt;= 0.002; S"</span>) <span class='co'># will return "S"</span>
<span class='no'>rsi_data</span> <span class='kw'>&lt;-</span> <span class='fu'>as.rsi</span>(<span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='fu'><a href='https://rdrr.io/r/base/rep.html'>rep</a></span>(<span class='st'>"S"</span>, <span class='fl'>474</span>), <span class='fu'><a href='https://rdrr.io/r/base/rep.html'>rep</a></span>(<span class='st'>"I"</span>, <span class='fl'>36</span>), <span class='fu'><a href='https://rdrr.io/r/base/rep.html'>rep</a></span>(<span class='st'>"R"</span>, <span class='fl'>370</span>)))
<span class='fu'>is.rsi</span>(<span class='no'>rsi_data</span>)
<span class='fu'><a href='https://rdrr.io/r/base/plot.html'>plot</a></span>(<span class='no'>rsi_data</span>) <span class='co'># for percentages</span>
<span class='fu'><a href='https://rdrr.io/r/graphics/barplot.html'>barplot</a></span>(<span class='no'>rsi_data</span>) <span class='co'># for frequencies</span>
<span class='kw'>rsi_data</span> <span class='op'>&lt;-</span> <span class='fu'>as.rsi</span>(<span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='fu'><a href='https://rdrr.io/r/base/rep.html'>rep</a></span>(<span class='st'>"S"</span>, <span class='fl'>474</span>), <span class='fu'><a href='https://rdrr.io/r/base/rep.html'>rep</a></span>(<span class='st'>"I"</span>, <span class='fl'>36</span>), <span class='fu'><a href='https://rdrr.io/r/base/rep.html'>rep</a></span>(<span class='st'>"R"</span>, <span class='fl'>370</span>)))
<span class='fu'>is.rsi</span>(<span class='kw'>rsi_data</span>)
<span class='fu'><a href='https://rdrr.io/r/graphics/plot.default.html'>plot</a></span>(<span class='kw'>rsi_data</span>) <span class='co'># for percentages</span>
<span class='fu'><a href='https://rdrr.io/r/graphics/barplot.html'>barplot</a></span>(<span class='kw'>rsi_data</span>) <span class='co'># for frequencies</span>
<span class='kw'>if</span> (<span class='fl'>FALSE</span>) {
<span class='fu'><a href='https://rdrr.io/r/base/library.html'>library</a></span>(<span class='no'>dplyr</span>)
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate_all.html'>mutate_at</a></span>(<span class='fu'><a href='https://dplyr.tidyverse.org/reference/vars.html'>vars</a></span>(<span class='no'>PEN</span>:<span class='no'>RIF</span>), <span class='no'>as.rsi</span>)
<span class='co'>if</span> (<span class='fl'>FALSE</span>) {
<span class='fu'><a href='https://rdrr.io/r/base/library.html'>library</a></span>(<span class='kw'><a href='https://dplyr.tidyverse.org'>dplyr</a></span>)
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate_all.html'>mutate_at</a></span>(<span class='fu'><a href='https://dplyr.tidyverse.org/reference/vars.html'>vars</a></span>(<span class='kw'>PEN</span><span class='op'>:</span><span class='kw'>RIF</span>), <span class='kw'>as.rsi</span>)
<span class='co'># fastest way to transform all columns with already valid AMR results to class `rsi`:</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate_all.html'>mutate_if</a></span>(<span class='no'>is.rsi.eligible</span>, <span class='no'>as.rsi</span>)
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate_all.html'>mutate_if</a></span>(<span class='kw'>is.rsi.eligible</span>, <span class='kw'>as.rsi</span>)
<span class='co'># note: from dplyr 1.0.0 on, this will be: </span>
<span class='co'># example_isolates %&gt;%</span>
<span class='co'># mutate(across(is.rsi.eligible, as.rsi))</span>
<span class='co'># default threshold of `is.rsi.eligible` is 5%.</span>
<span class='fu'>is.rsi.eligible</span>(<span class='no'>WHONET</span>$<span class='no'>`First name`</span>) <span class='co'># fails, &gt;80% is invalid</span>
<span class='fu'>is.rsi.eligible</span>(<span class='no'>WHONET</span>$<span class='no'>`First name`</span>, <span class='kw'>threshold</span> <span class='kw'>=</span> <span class='fl'>0.99</span>) <span class='co'># succeeds</span>
<span class='fu'>is.rsi.eligible</span>(<span class='kw'>WHONET</span><span class='op'>$</span><span class='kw'>`First name`</span>) <span class='co'># fails, &gt;80% is invalid</span>
<span class='fu'>is.rsi.eligible</span>(<span class='kw'>WHONET</span><span class='op'>$</span><span class='kw'>`First name`</span>, threshold = <span class='fl'>0.99</span>) <span class='co'># succeeds</span>
}</pre>
</div>
<div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
@ -480,7 +481,7 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

20
docs/reference/atc_online.html
View File

@ -83,7 +83,7 @@ This function requires an internet connection." />
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -238,15 +238,15 @@ This function requires an internet connection." />
</div>
<pre class="usage"><span class='fu'>atc_online_property</span>(
<span class='no'>atc_code</span>,
<span class='no'>property</span>,
<span class='kw'>administration</span> <span class='kw'>=</span> <span class='st'>"O"</span>,
<span class='kw'>url</span> <span class='kw'>=</span> <span class='st'>"https://www.whocc.no/atc_ddd_index/?code=%s&amp;showdescription=no"</span>
<span class='kw'>atc_code</span>,
<span class='kw'>property</span>,
administration = <span class='st'>"O"</span>,
url = <span class='st'>"https://www.whocc.no/atc_ddd_index/?code=%s&amp;showdescription=no"</span>
)
<span class='fu'>atc_online_groups</span>(<span class='no'>atc_code</span>, <span class='no'>...</span>)
<span class='fu'>atc_online_groups</span>(<span class='kw'>atc_code</span>, <span class='kw'>...</span>)
<span class='fu'>atc_online_ddd</span>(<span class='no'>atc_code</span>, <span class='no'>...</span>)</pre>
<span class='fu'>atc_online_ddd</span>(<span class='kw'>atc_code</span>, <span class='kw'>...</span>)</pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
<table class="ref-arguments">
@ -315,13 +315,13 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>questioni
<p>On our website <a href='https://msberends.github.io/AMR'>https://msberends.github.io/AMR</a> you can find <a href='https://msberends.github.io/AMR/articles/AMR.html'>a comprehensive tutorial</a> about how to conduct AMR analysis, the <a href='https://msberends.github.io/AMR/reference'>complete documentation of all functions</a> (which reads a lot easier than here in R) and <a href='https://msberends.github.io/AMR/articles/WHONET.html'>an example analysis using WHONET data</a>. As we would like to better understand the backgrounds and needs of our users, please <a href='https://msberends.github.io/AMR/survey.html'>participate in our survey</a>!</p>
<h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
<pre class="examples"><span class='kw'>if</span> (<span class='fl'>FALSE</span>) {
<pre class="examples"><span class='co'>if</span> (<span class='fl'>FALSE</span>) {
<span class='co'># oral DDD (Defined Daily Dose) of amoxicillin</span>
<span class='fu'>atc_online_property</span>(<span class='st'>"J01CA04"</span>, <span class='st'>"DDD"</span>, <span class='st'>"O"</span>)
<span class='co'># parenteral DDD (Defined Daily Dose) of amoxicillin</span>
<span class='fu'>atc_online_property</span>(<span class='st'>"J01CA04"</span>, <span class='st'>"DDD"</span>, <span class='st'>"P"</span>)
<span class='fu'>atc_online_property</span>(<span class='st'>"J01CA04"</span>, <span class='kw'>property</span> <span class='kw'>=</span> <span class='st'>"groups"</span>) <span class='co'># search hierarchical groups of amoxicillin</span>
<span class='fu'>atc_online_property</span>(<span class='st'>"J01CA04"</span>, property = <span class='st'>"groups"</span>) <span class='co'># search hierarchical groups of amoxicillin</span>
<span class='co'># [1] "ANTIINFECTIVES FOR SYSTEMIC USE"</span>
<span class='co'># [2] "ANTIBACTERIALS FOR SYSTEMIC USE"</span>
<span class='co'># [3] "BETA-LACTAM ANTIBACTERIALS, PENICILLINS"</span>
@ -342,7 +342,7 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>questioni
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

24
docs/reference/availability.html
View File

@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -235,7 +235,7 @@
<p>Easy check for data availability of all columns in a data set. This makes it easy to get an idea of which antimicrobial combinations can be used for calculation with e.g. <code><a href='proportion.html'>susceptibility()</a></code> and <code><a href='proportion.html'>resistance()</a></code>.</p>
</div>
<pre class="usage"><span class='fu'>availability</span>(<span class='no'>tbl</span>, <span class='kw'>width</span> <span class='kw'>=</span> <span class='kw'>NULL</span>)</pre>
<pre class="usage"><span class='fu'>availability</span>(<span class='kw'>tbl</span>, width = <span class='kw'>NULL</span>)</pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
<table class="ref-arguments">
@ -270,19 +270,19 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
<p>On our website <a href='https://msberends.github.io/AMR'>https://msberends.github.io/AMR</a> you can find <a href='https://msberends.github.io/AMR/articles/AMR.html'>a comprehensive tutorial</a> about how to conduct AMR analysis, the <a href='https://msberends.github.io/AMR/reference'>complete documentation of all functions</a> (which reads a lot easier than here in R) and <a href='https://msberends.github.io/AMR/articles/WHONET.html'>an example analysis using WHONET data</a>. As we would like to better understand the backgrounds and needs of our users, please <a href='https://msberends.github.io/AMR/survey.html'>participate in our survey</a>!</p>
<h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
<pre class="examples"><span class='fu'>availability</span>(<span class='no'>example_isolates</span>)
<pre class="examples"><span class='fu'>availability</span>(<span class='kw'>example_isolates</span>)
<span class='kw'>if</span> (<span class='fl'>FALSE</span>) {
<span class='fu'><a href='https://rdrr.io/r/base/library.html'>library</a></span>(<span class='no'>dplyr</span>)
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span> <span class='fu'>availability</span>()
<span class='co'>if</span> (<span class='fl'>FALSE</span>) {
<span class='fu'><a href='https://rdrr.io/r/base/library.html'>library</a></span>(<span class='kw'><a href='https://dplyr.tidyverse.org'>dplyr</a></span>)
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span> <span class='fu'>availability</span>()
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select_all.html'>select_if</a></span>(<span class='no'>is.rsi</span>) <span class='kw'>%&gt;%</span>
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select_all.html'>select_if</a></span>(<span class='kw'>is.rsi</span>) <span class='op'>%&gt;%</span>
<span class='fu'>availability</span>()
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span>(<span class='no'>mo</span> <span class='kw'>==</span> <span class='fu'><a href='as.mo.html'>as.mo</a></span>(<span class='st'>"E. coli"</span>)) <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select_all.html'>select_if</a></span>(<span class='no'>is.rsi</span>) <span class='kw'>%&gt;%</span>
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span>(<span class='kw'>mo</span> <span class='op'>==</span> <span class='fu'><a href='as.mo.html'>as.mo</a></span>(<span class='st'>"E. coli"</span>)) <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select_all.html'>select_if</a></span>(<span class='kw'>is.rsi</span>) <span class='op'>%&gt;%</span>
<span class='fu'>availability</span>()
}</pre>
</div>
@ -300,7 +300,7 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

44
docs/reference/bug_drug_combinations.html
View File

@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -235,21 +235,21 @@
<p>Determine antimicrobial resistance (AMR) of all bug-drug combinations in your data set where at least 30 (default) isolates are available per species. Use <code><a href='https://rdrr.io/r/base/format.html'>format()</a></code> on the result to prettify it to a publicable/printable format, see Examples.</p>
</div>
<pre class="usage"><span class='fu'>bug_drug_combinations</span>(<span class='no'>x</span>, <span class='kw'>col_mo</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>FUN</span> <span class='kw'>=</span> <span class='no'>mo_shortname</span>, <span class='no'>...</span>)
<pre class="usage"><span class='fu'>bug_drug_combinations</span>(<span class='kw'>x</span>, col_mo = <span class='kw'>NULL</span>, FUN = <span class='kw'>mo_shortname</span>, <span class='kw'>...</span>)
<span class='co'># S3 method for bug_drug_combinations</span>
<span class='fu'><a href='https://rdrr.io/r/base/format.html'>format</a></span>(
<span class='no'>x</span>,
<span class='kw'>translate_ab</span> <span class='kw'>=</span> <span class='st'>"name (ab, atc)"</span>,
<span class='kw'>language</span> <span class='kw'>=</span> <span class='fu'><a href='translate.html'>get_locale</a></span>(),
<span class='kw'>minimum</span> <span class='kw'>=</span> <span class='fl'>30</span>,
<span class='kw'>combine_SI</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>,
<span class='kw'>combine_IR</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>,
<span class='kw'>add_ab_group</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>,
<span class='kw'>remove_intrinsic_resistant</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>,
<span class='kw'>decimal.mark</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/options.html'>getOption</a></span>(<span class='st'>"OutDec"</span>),
<span class='kw'>big.mark</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/ifelse.html'>ifelse</a></span>(<span class='no'>decimal.mark</span> <span class='kw'>==</span> <span class='st'>","</span>, <span class='st'>"."</span>, <span class='st'>","</span>),
<span class='no'>...</span>
<span class='kw'>x</span>,
translate_ab = <span class='st'>"name (ab, atc)"</span>,
language = <span class='fu'><a href='translate.html'>get_locale</a></span>(),
minimum = <span class='fl'>30</span>,
combine_SI = <span class='fl'>TRUE</span>,
combine_IR = <span class='fl'>FALSE</span>,
add_ab_group = <span class='fl'>TRUE</span>,
remove_intrinsic_resistant = <span class='fl'>FALSE</span>,
decimal.mark = <span class='fu'><a href='https://rdrr.io/r/base/options.html'>getOption</a></span>(<span class='st'>"OutDec"</span>),
big.mark = <span class='fu'><a href='https://rdrr.io/r/base/ifelse.html'>ifelse</a></span>(<span class='kw'>decimal.mark</span> <span class='op'>==</span> <span class='st'>","</span>, <span class='st'>"."</span>, <span class='st'>","</span>),
<span class='kw'>...</span>
)</pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
@ -337,16 +337,16 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
<h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
<pre class="examples"><span class='co'># \donttest{</span>
<span class='no'>x</span> <span class='kw'>&lt;-</span> <span class='fu'>bug_drug_combinations</span>(<span class='no'>example_isolates</span>)
<span class='no'>x</span>
<span class='fu'><a href='https://rdrr.io/r/base/format.html'>format</a></span>(<span class='no'>x</span>, <span class='kw'>translate_ab</span> <span class='kw'>=</span> <span class='st'>"name (atc)"</span>)
<span class='kw'>x</span> <span class='op'>&lt;-</span> <span class='fu'>bug_drug_combinations</span>(<span class='kw'>example_isolates</span>)
<span class='kw'>x</span>
<span class='fu'><a href='https://rdrr.io/r/base/format.html'>format</a></span>(<span class='kw'>x</span>, translate_ab = <span class='st'>"name (atc)"</span>)
<span class='co'># Use FUN to change to transformation of microorganism codes</span>
<span class='no'>x</span> <span class='kw'>&lt;-</span> <span class='fu'>bug_drug_combinations</span>(<span class='no'>example_isolates</span>,
<span class='kw'>FUN</span> <span class='kw'>=</span> <span class='no'>mo_gramstain</span>)
<span class='no'>x</span> <span class='kw'>&lt;-</span> <span class='fu'>bug_drug_combinations</span>(<span class='no'>example_isolates</span>,
<span class='kw'>FUN</span> <span class='kw'>=</span> <span class='kw'>function</span>(<span class='no'>x</span>) <span class='fu'><a href='https://rdrr.io/r/base/ifelse.html'>ifelse</a></span>(<span class='no'>x</span> <span class='kw'>==</span> <span class='st'>"B_ESCHR_COLI"</span>,
<span class='kw'>x</span> <span class='op'>&lt;-</span> <span class='fu'>bug_drug_combinations</span>(<span class='kw'>example_isolates</span>,
FUN = <span class='kw'>mo_gramstain</span>)
<span class='kw'>x</span> <span class='op'>&lt;-</span> <span class='fu'>bug_drug_combinations</span>(<span class='kw'>example_isolates</span>,
FUN = <span class='fu'>function</span>(<span class='kw'>x</span>) <span class='fu'><a href='https://rdrr.io/r/base/ifelse.html'>ifelse</a></span>(<span class='kw'>x</span> <span class='op'>==</span> <span class='st'>"B_ESCHR_COLI"</span>,
<span class='st'>"E. coli"</span>,
<span class='st'>"Others"</span>))
<span class='co'># }</span></pre>
@ -365,7 +365,7 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

4
docs/reference/catalogue_of_life.html
View File

@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -313,7 +313,7 @@ Function <code><a href='as.mo.html'>as.mo()</a></code> to use the data for intel
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

4
docs/reference/catalogue_of_life_version.html
View File

@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -275,7 +275,7 @@ This package contains the complete taxonomic tree of almost all microorganisms (
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

133
docs/reference/count.html
View File

@ -83,7 +83,7 @@ count_resistant() should be used to count resistant isolates, count_susceptible(
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -233,34 +233,34 @@ count_resistant() should be used to count resistant isolates, count_susceptible(
</div>
<div class="ref-description">
<p>These functions can be used to count resistant/susceptible microbial isolates. All functions support quasiquotation with pipes, can be used in <code>summarise()</code> from the <code>dplyr</code> package and also support grouped variables, please see <em>Examples</em>.</p>
<p>These functions can be used to count resistant/susceptible microbial isolates. All functions support quasiquotation with pipes, can be used in <code><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise()</a></code> from the <code>dplyr</code> package and also support grouped variables, please see <em>Examples</em>.</p>
<p><code>count_resistant()</code> should be used to count resistant isolates, <code>count_susceptible()</code> should be used to count susceptible isolates.</p>
</div>
<pre class="usage"><span class='fu'>count_resistant</span>(<span class='no'>...</span>, <span class='kw'>only_all_tested</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<pre class="usage"><span class='fu'>count_resistant</span>(<span class='kw'>...</span>, only_all_tested = <span class='fl'>FALSE</span>)
<span class='fu'>count_susceptible</span>(<span class='no'>...</span>, <span class='kw'>only_all_tested</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<span class='fu'>count_susceptible</span>(<span class='kw'>...</span>, only_all_tested = <span class='fl'>FALSE</span>)
<span class='fu'>count_R</span>(<span class='no'>...</span>, <span class='kw'>only_all_tested</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<span class='fu'>count_R</span>(<span class='kw'>...</span>, only_all_tested = <span class='fl'>FALSE</span>)
<span class='fu'>count_IR</span>(<span class='no'>...</span>, <span class='kw'>only_all_tested</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<span class='fu'>count_IR</span>(<span class='kw'>...</span>, only_all_tested = <span class='fl'>FALSE</span>)
<span class='fu'>count_I</span>(<span class='no'>...</span>, <span class='kw'>only_all_tested</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<span class='fu'>count_I</span>(<span class='kw'>...</span>, only_all_tested = <span class='fl'>FALSE</span>)
<span class='fu'>count_SI</span>(<span class='no'>...</span>, <span class='kw'>only_all_tested</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<span class='fu'>count_SI</span>(<span class='kw'>...</span>, only_all_tested = <span class='fl'>FALSE</span>)
<span class='fu'>count_S</span>(<span class='no'>...</span>, <span class='kw'>only_all_tested</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<span class='fu'>count_S</span>(<span class='kw'>...</span>, only_all_tested = <span class='fl'>FALSE</span>)
<span class='fu'>count_all</span>(<span class='no'>...</span>, <span class='kw'>only_all_tested</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<span class='fu'>count_all</span>(<span class='kw'>...</span>, only_all_tested = <span class='fl'>FALSE</span>)
<span class='fu'>n_rsi</span>(<span class='no'>...</span>, <span class='kw'>only_all_tested</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<span class='fu'>n_rsi</span>(<span class='kw'>...</span>, only_all_tested = <span class='fl'>FALSE</span>)
<span class='fu'>count_df</span>(
<span class='no'>data</span>,
<span class='kw'>translate_ab</span> <span class='kw'>=</span> <span class='st'>"name"</span>,
<span class='kw'>language</span> <span class='kw'>=</span> <span class='fu'><a href='translate.html'>get_locale</a></span>(),
<span class='kw'>combine_SI</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>,
<span class='kw'>combine_IR</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>
<span class='kw'>data</span>,
translate_ab = <span class='st'>"name"</span>,
language = <span class='fu'><a href='translate.html'>get_locale</a></span>(),
combine_SI = <span class='fl'>TRUE</span>,
combine_IR = <span class='fl'>FALSE</span>
)</pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
@ -338,22 +338,21 @@ A microorganism is categorised as <em>Susceptible, Increased exposure</em> when
-------- -------- ---------- ----------- ---------- -----------
S or I S or I X X X X
R S or I X X X X
&amp;lt;NA&amp;gt; S or I X X - -
&lt;NA&gt; S or I X X - -
S or I R X X X X
R R - X - X
&amp;lt;NA&amp;gt; R - - - -
S or I &amp;lt;NA&amp;gt; X X - -
R &amp;lt;NA&amp;gt; - - - -
&amp;lt;NA&amp;gt; &amp;lt;NA&amp;gt; - - - -
&lt;NA&gt; R - - - -
S or I &lt;NA&gt; X X - -
R &lt;NA&gt; - - - -
&lt;NA&gt; &lt;NA&gt; - - - -
--------------------------------------------------------------------
</pre>
<p>Please note that, in combination therapies, for <code>only_all_tested = TRUE</code> applies that:</p><pre> <span class='fu'>count_S</span>() + <span class='fu'>count_I</span>() + <span class='fu'>count_R</span>() <span class='kw'>=</span> <span class='fu'>count_all</span>()
<span class='fu'><a href='proportion.html'>proportion_S</a></span>() + <span class='fu'><a href='proportion.html'>proportion_I</a></span>() + <span class='fu'><a href='proportion.html'>proportion_R</a></span>() <span class='kw'>=</span> <span class='fl'>1</span></pre>
<p>Please note that, in combination therapies, for <code>only_all_tested = TRUE</code> applies that:</p><pre> <span class='fu'>count_S</span>() <span class='op'>+</span> <span class='fu'>count_I</span>() <span class='op'>+</span> <span class='fu'>count_R</span>() <span class='op'>=</span> <span class='fu'>count_all</span>()
<span class='fu'><a href='proportion.html'>proportion_S</a></span>() <span class='op'>+</span> <span class='fu'><a href='proportion.html'>proportion_I</a></span>() <span class='op'>+</span> <span class='fu'><a href='proportion.html'>proportion_R</a></span>() <span class='op'>=</span> <span class='fl'>1</span></pre>
<p>and that, in combination therapies, for <code>only_all_tested = FALSE</code> applies that:</p><pre> count_S() + count_I() + count_R() &amp;gt;= count_all()
proportion_S() + proportion_I() + proportion_R() &amp;gt;= 1
</pre>
<p>and that, in combination therapies, for <code>only_all_tested = FALSE</code> applies that:</p><pre> <span class='fu'>count_S</span>() <span class='op'>+</span> <span class='fu'>count_I</span>() <span class='op'>+</span> <span class='fu'>count_R</span>() <span class='op'>&gt;=</span> <span class='fu'>count_all</span>()
<span class='fu'><a href='proportion.html'>proportion_S</a></span>() <span class='op'>+</span> <span class='fu'><a href='proportion.html'>proportion_I</a></span>() <span class='op'>+</span> <span class='fu'><a href='proportion.html'>proportion_R</a></span>() <span class='op'>&gt;=</span> <span class='fl'>1</span></pre>
<p>Using <code>only_all_tested</code> has no impact when only using one antibiotic as input.</p>
<h2 class="hasAnchor" id="read-more-on-our-website-"><a class="anchor" href="#read-more-on-our-website-"></a>Read more on our website!</h2>
@ -367,63 +366,63 @@ A microorganism is categorised as <em>Susceptible, Increased exposure</em> when
<h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
<pre class="examples"><span class='co'># example_isolates is a data set available in the AMR package.</span>
?<span class='no'>example_isolates</span>
<span class='op'>?</span><span class='kw'>example_isolates</span>
<span class='fu'>count_resistant</span>(<span class='no'>example_isolates</span>$<span class='no'>AMX</span>) <span class='co'># counts "R"</span>
<span class='fu'>count_susceptible</span>(<span class='no'>example_isolates</span>$<span class='no'>AMX</span>) <span class='co'># counts "S" and "I"</span>
<span class='fu'>count_all</span>(<span class='no'>example_isolates</span>$<span class='no'>AMX</span>) <span class='co'># counts "S", "I" and "R"</span>
<span class='fu'>count_resistant</span>(<span class='kw'>example_isolates</span><span class='op'>$</span><span class='kw'>AMX</span>) <span class='co'># counts "R"</span>
<span class='fu'>count_susceptible</span>(<span class='kw'>example_isolates</span><span class='op'>$</span><span class='kw'>AMX</span>) <span class='co'># counts "S" and "I"</span>
<span class='fu'>count_all</span>(<span class='kw'>example_isolates</span><span class='op'>$</span><span class='kw'>AMX</span>) <span class='co'># counts "S", "I" and "R"</span>
<span class='co'># be more specific</span>
<span class='fu'>count_S</span>(<span class='no'>example_isolates</span>$<span class='no'>AMX</span>)
<span class='fu'>count_SI</span>(<span class='no'>example_isolates</span>$<span class='no'>AMX</span>)
<span class='fu'>count_I</span>(<span class='no'>example_isolates</span>$<span class='no'>AMX</span>)
<span class='fu'>count_IR</span>(<span class='no'>example_isolates</span>$<span class='no'>AMX</span>)
<span class='fu'>count_R</span>(<span class='no'>example_isolates</span>$<span class='no'>AMX</span>)
<span class='fu'>count_S</span>(<span class='kw'>example_isolates</span><span class='op'>$</span><span class='kw'>AMX</span>)
<span class='fu'>count_SI</span>(<span class='kw'>example_isolates</span><span class='op'>$</span><span class='kw'>AMX</span>)
<span class='fu'>count_I</span>(<span class='kw'>example_isolates</span><span class='op'>$</span><span class='kw'>AMX</span>)
<span class='fu'>count_IR</span>(<span class='kw'>example_isolates</span><span class='op'>$</span><span class='kw'>AMX</span>)
<span class='fu'>count_R</span>(<span class='kw'>example_isolates</span><span class='op'>$</span><span class='kw'>AMX</span>)
<span class='co'># Count all available isolates</span>
<span class='fu'>count_all</span>(<span class='no'>example_isolates</span>$<span class='no'>AMX</span>)
<span class='fu'>n_rsi</span>(<span class='no'>example_isolates</span>$<span class='no'>AMX</span>)
<span class='fu'>count_all</span>(<span class='kw'>example_isolates</span><span class='op'>$</span><span class='kw'>AMX</span>)
<span class='fu'>n_rsi</span>(<span class='kw'>example_isolates</span><span class='op'>$</span><span class='kw'>AMX</span>)
<span class='co'># n_rsi() is an alias of count_all().</span>
<span class='co'># Since it counts all available isolates, you can</span>
<span class='co'># calculate back to count e.g. susceptible isolates.</span>
<span class='co'># These results are the same:</span>
<span class='fu'>count_susceptible</span>(<span class='no'>example_isolates</span>$<span class='no'>AMX</span>)
<span class='fu'><a href='proportion.html'>susceptibility</a></span>(<span class='no'>example_isolates</span>$<span class='no'>AMX</span>) * <span class='fu'>n_rsi</span>(<span class='no'>example_isolates</span>$<span class='no'>AMX</span>)
<span class='fu'>count_susceptible</span>(<span class='kw'>example_isolates</span><span class='op'>$</span><span class='kw'>AMX</span>)
<span class='fu'><a href='proportion.html'>susceptibility</a></span>(<span class='kw'>example_isolates</span><span class='op'>$</span><span class='kw'>AMX</span>) <span class='op'>*</span> <span class='fu'>n_rsi</span>(<span class='kw'>example_isolates</span><span class='op'>$</span><span class='kw'>AMX</span>)
<span class='kw'>if</span> (<span class='fu'><a href='https://rdrr.io/r/base/library.html'>require</a></span>(<span class='st'>"dplyr"</span>)) {
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span>(<span class='no'>hospital_id</span>) <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise</a></span>(<span class='kw'>R</span> <span class='kw'>=</span> <span class='fu'>count_R</span>(<span class='no'>CIP</span>),
<span class='kw'>I</span> <span class='kw'>=</span> <span class='fu'>count_I</span>(<span class='no'>CIP</span>),
<span class='kw'>S</span> <span class='kw'>=</span> <span class='fu'>count_S</span>(<span class='no'>CIP</span>),
<span class='kw'>n1</span> <span class='kw'>=</span> <span class='fu'>count_all</span>(<span class='no'>CIP</span>), <span class='co'># the actual total; sum of all three</span>
<span class='kw'>n2</span> <span class='kw'>=</span> <span class='fu'>n_rsi</span>(<span class='no'>CIP</span>), <span class='co'># same - analogous to n_distinct</span>
<span class='kw'>total</span> <span class='kw'>=</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/context.html'>n</a></span>()) <span class='co'># NOT the number of tested isolates!</span>
<span class='co'>if</span> (<span class='fu'><a href='https://rdrr.io/r/base/library.html'>require</a></span>(<span class='st'><a href='https://dplyr.tidyverse.org'>"dplyr"</a></span>)) {
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span>(<span class='kw'>hospital_id</span>) <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise</a></span>(R = <span class='fu'>count_R</span>(<span class='kw'>CIP</span>),
I = <span class='fu'>count_I</span>(<span class='kw'>CIP</span>),
S = <span class='fu'>count_S</span>(<span class='kw'>CIP</span>),
n1 = <span class='fu'>count_all</span>(<span class='kw'>CIP</span>), <span class='co'># the actual total; sum of all three</span>
n2 = <span class='fu'>n_rsi</span>(<span class='kw'>CIP</span>), <span class='co'># same - analogous to n_distinct</span>
total = <span class='fu'><a href='https://dplyr.tidyverse.org/reference/context.html'>n</a></span>()) <span class='co'># NOT the number of tested isolates!</span>
<span class='co'># Count co-resistance between amoxicillin/clav acid and gentamicin,</span>
<span class='co'># so we can see that combination therapy does a lot more than mono therapy.</span>
<span class='co'># Please mind that `susceptibility()` calculates percentages right away instead.</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span> <span class='fu'>count_susceptible</span>(<span class='no'>AMC</span>) <span class='co'># 1433</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span> <span class='fu'>count_all</span>(<span class='no'>AMC</span>) <span class='co'># 1879</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span> <span class='fu'>count_susceptible</span>(<span class='no'>GEN</span>) <span class='co'># 1399</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span> <span class='fu'>count_all</span>(<span class='no'>GEN</span>) <span class='co'># 1855</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span> <span class='fu'>count_susceptible</span>(<span class='no'>AMC</span>, <span class='no'>GEN</span>) <span class='co'># 1764</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span> <span class='fu'>count_all</span>(<span class='no'>AMC</span>, <span class='no'>GEN</span>) <span class='co'># 1936</span>
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span> <span class='fu'>count_susceptible</span>(<span class='kw'>AMC</span>) <span class='co'># 1433</span>
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span> <span class='fu'>count_all</span>(<span class='kw'>AMC</span>) <span class='co'># 1879</span>
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span> <span class='fu'>count_susceptible</span>(<span class='kw'>GEN</span>) <span class='co'># 1399</span>
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span> <span class='fu'>count_all</span>(<span class='kw'>GEN</span>) <span class='co'># 1855</span>
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span> <span class='fu'>count_susceptible</span>(<span class='kw'>AMC</span>, <span class='kw'>GEN</span>) <span class='co'># 1764</span>
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span> <span class='fu'>count_all</span>(<span class='kw'>AMC</span>, <span class='kw'>GEN</span>) <span class='co'># 1936</span>
<span class='co'># Get number of S+I vs. R immediately of selected columns</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='no'>AMX</span>, <span class='no'>CIP</span>) <span class='kw'>%&gt;%</span>
<span class='fu'>count_df</span>(<span class='kw'>translate</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='kw'>AMX</span>, <span class='kw'>CIP</span>) <span class='op'>%&gt;%</span>
<span class='fu'>count_df</span>(translate = <span class='fl'>FALSE</span>)
<span class='co'># It also supports grouping variables</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='no'>hospital_id</span>, <span class='no'>AMX</span>, <span class='no'>CIP</span>) <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span>(<span class='no'>hospital_id</span>) <span class='kw'>%&gt;%</span>
<span class='fu'>count_df</span>(<span class='kw'>translate</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='kw'>hospital_id</span>, <span class='kw'>AMX</span>, <span class='kw'>CIP</span>) <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span>(<span class='kw'>hospital_id</span>) <span class='op'>%&gt;%</span>
<span class='fu'>count_df</span>(translate = <span class='fl'>FALSE</span>)
}</pre>
</div>
<div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
@ -440,7 +439,7 @@ A microorganism is categorised as <em>Susceptible, Increased exposure</em> when
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
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</footer>

42
docs/reference/eucast_rules.html
View File

@ -83,7 +83,7 @@ To improve the interpretation of the antibiogram before EUCAST rules are applied
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -238,12 +238,12 @@ To improve the interpretation of the antibiogram before EUCAST rules are applied
</div>
<pre class="usage"><span class='fu'>eucast_rules</span>(
<span class='no'>x</span>,
<span class='kw'>col_mo</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>info</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/interactive.html'>interactive</a></span>(),
<span class='kw'>rules</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/options.html'>getOption</a></span>(<span class='st'>"AMR.eucast_rules"</span>, <span class='kw'>default</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"breakpoints"</span>, <span class='st'>"expert"</span>)),
<span class='kw'>verbose</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>,
<span class='no'>...</span>
<span class='kw'>x</span>,
col_mo = <span class='kw'>NULL</span>,
info = <span class='fu'><a href='https://rdrr.io/r/base/interactive.html'>interactive</a></span>(),
rules = <span class='fu'><a href='https://rdrr.io/r/base/options.html'>getOption</a></span>(<span class='st'>"AMR.eucast_rules"</span>, default = <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"breakpoints"</span>, <span class='st'>"expert"</span>)),
verbose = <span class='fl'>FALSE</span>,
<span class='kw'>...</span>
)</pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
@ -407,21 +407,21 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>maturing<
<h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
<pre class="examples"><span class='co'># \donttest{</span>
<span class='no'>a</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></span>(<span class='kw'>mo</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"Staphylococcus aureus"</span>,
<span class='kw'>a</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></span>(mo = <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"Staphylococcus aureus"</span>,
<span class='st'>"Enterococcus faecalis"</span>,
<span class='st'>"Escherichia coli"</span>,
<span class='st'>"Klebsiella pneumoniae"</span>,
<span class='st'>"Pseudomonas aeruginosa"</span>),
<span class='kw'>VAN</span> <span class='kw'>=</span> <span class='st'>"-"</span>, <span class='co'># Vancomycin</span>
<span class='kw'>AMX</span> <span class='kw'>=</span> <span class='st'>"-"</span>, <span class='co'># Amoxicillin</span>
<span class='kw'>COL</span> <span class='kw'>=</span> <span class='st'>"-"</span>, <span class='co'># Colistin</span>
<span class='kw'>CAZ</span> <span class='kw'>=</span> <span class='st'>"-"</span>, <span class='co'># Ceftazidime</span>
<span class='kw'>CXM</span> <span class='kw'>=</span> <span class='st'>"-"</span>, <span class='co'># Cefuroxime</span>
<span class='kw'>PEN</span> <span class='kw'>=</span> <span class='st'>"S"</span>, <span class='co'># Penicillin G</span>
<span class='kw'>FOX</span> <span class='kw'>=</span> <span class='st'>"S"</span>, <span class='co'># Cefoxitin</span>
<span class='kw'>stringsAsFactors</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
VAN = <span class='st'>"-"</span>, <span class='co'># Vancomycin</span>
AMX = <span class='st'>"-"</span>, <span class='co'># Amoxicillin</span>
COL = <span class='st'>"-"</span>, <span class='co'># Colistin</span>
CAZ = <span class='st'>"-"</span>, <span class='co'># Ceftazidime</span>
CXM = <span class='st'>"-"</span>, <span class='co'># Cefuroxime</span>
PEN = <span class='st'>"S"</span>, <span class='co'># Penicillin G</span>
FOX = <span class='st'>"S"</span>, <span class='co'># Cefoxitin</span>
stringsAsFactors = <span class='fl'>FALSE</span>)
<span class='no'>a</span>
<span class='kw'>a</span>
<span class='co'># mo VAN AMX COL CAZ CXM PEN FOX</span>
<span class='co'># 1 Staphylococcus aureus - - - - - S S</span>
<span class='co'># 2 Enterococcus faecalis - - - - - S S</span>
@ -431,9 +431,9 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>maturing<
<span class='co'># apply EUCAST rules: 18 results are forced as R or S</span>
<span class='no'>b</span> <span class='kw'>&lt;-</span> <span class='fu'>eucast_rules</span>(<span class='no'>a</span>)
<span class='kw'>b</span> <span class='op'>&lt;-</span> <span class='fu'>eucast_rules</span>(<span class='kw'>a</span>)
<span class='no'>b</span>
<span class='kw'>b</span>
<span class='co'># mo VAN AMX COL CAZ CXM PEN FOX</span>
<span class='co'># 1 Staphylococcus aureus - S R R S S S</span>
<span class='co'># 2 Enterococcus faecalis - - R R R S R</span>
@ -444,7 +444,7 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>maturing<
<span class='co'># do not apply EUCAST rules, but rather get a data.frame</span>
<span class='co'># with 18 rows, containing all details about the transformations:</span>
<span class='no'>c</span> <span class='kw'>&lt;-</span> <span class='fu'>eucast_rules</span>(<span class='no'>a</span>, <span class='kw'>verbose</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)
<span class='kw'>c</span> <span class='op'>&lt;-</span> <span class='fu'>eucast_rules</span>(<span class='kw'>a</span>, verbose = <span class='fl'>TRUE</span>)
<span class='co'># }</span></pre>
</div>
<div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
@ -461,7 +461,7 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>maturing<
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

6
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@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -235,7 +235,7 @@
<p>A data set containing 2,000 microbial isolates with their full antibiograms. The data set reflects reality and can be used to practice AMR analysis. For examples, please read <a href='https://msberends.github.io/AMR/articles/AMR.html'>the tutorial on our website</a>.</p>
</div>
<pre class="usage"><span class='no'>example_isolates</span></pre>
<pre class="usage"><span class='kw'>example_isolates</span></pre>
<h2 class="hasAnchor" id="format"><a class="anchor" href="#format"></a>Format</h2>
@ -274,7 +274,7 @@
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

6
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@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -235,7 +235,7 @@
<p>A data set containing 3,000 microbial isolates that are not cleaned up and consequently not ready for AMR analysis. This data set can be used for practice.</p>
</div>
<pre class="usage"><span class='no'>example_isolates_unclean</span></pre>
<pre class="usage"><span class='kw'>example_isolates_unclean</span></pre>
<h2 class="hasAnchor" id="format"><a class="anchor" href="#format"></a>Format</h2>
@ -269,7 +269,7 @@
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
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62
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@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9000</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -235,33 +235,33 @@
<p>Filter isolates on results in specific antimicrobial classes. This makes it easy to filter on isolates that were tested for e.g. any aminoglycoside, or to filter on carbapenem-resistant isolates without the need to specify the drugs.</p>
</div>
<pre class="usage"><span class='fu'>filter_ab_class</span>(<span class='no'>x</span>, <span class='no'>ab_class</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)
<pre class="usage"><span class='fu'>filter_ab_class</span>(<span class='kw'>x</span>, <span class='kw'>ab_class</span>, result = <span class='kw'>NULL</span>, scope = <span class='st'>"any"</span>, <span class='kw'>...</span>)
<span class='fu'>filter_aminoglycosides</span>(<span class='no'>x</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)
<span class='fu'>filter_aminoglycosides</span>(<span class='kw'>x</span>, result = <span class='kw'>NULL</span>, scope = <span class='st'>"any"</span>, <span class='kw'>...</span>)
<span class='fu'>filter_carbapenems</span>(<span class='no'>x</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)
<span class='fu'>filter_carbapenems</span>(<span class='kw'>x</span>, result = <span class='kw'>NULL</span>, scope = <span class='st'>"any"</span>, <span class='kw'>...</span>)
<span class='fu'>filter_cephalosporins</span>(<span class='no'>x</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)
<span class='fu'>filter_cephalosporins</span>(<span class='kw'>x</span>, result = <span class='kw'>NULL</span>, scope = <span class='st'>"any"</span>, <span class='kw'>...</span>)
<span class='fu'>filter_1st_cephalosporins</span>(<span class='no'>x</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)
<span class='fu'>filter_1st_cephalosporins</span>(<span class='kw'>x</span>, result = <span class='kw'>NULL</span>, scope = <span class='st'>"any"</span>, <span class='kw'>...</span>)
<span class='fu'>filter_2nd_cephalosporins</span>(<span class='no'>x</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)
<span class='fu'>filter_2nd_cephalosporins</span>(<span class='kw'>x</span>, result = <span class='kw'>NULL</span>, scope = <span class='st'>"any"</span>, <span class='kw'>...</span>)
<span class='fu'>filter_3rd_cephalosporins</span>(<span class='no'>x</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)
<span class='fu'>filter_3rd_cephalosporins</span>(<span class='kw'>x</span>, result = <span class='kw'>NULL</span>, scope = <span class='st'>"any"</span>, <span class='kw'>...</span>)
<span class='fu'>filter_4th_cephalosporins</span>(<span class='no'>x</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)
<span class='fu'>filter_4th_cephalosporins</span>(<span class='kw'>x</span>, result = <span class='kw'>NULL</span>, scope = <span class='st'>"any"</span>, <span class='kw'>...</span>)
<span class='fu'>filter_5th_cephalosporins</span>(<span class='no'>x</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)
<span class='fu'>filter_5th_cephalosporins</span>(<span class='kw'>x</span>, result = <span class='kw'>NULL</span>, scope = <span class='st'>"any"</span>, <span class='kw'>...</span>)
<span class='fu'>filter_fluoroquinolones</span>(<span class='no'>x</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)
<span class='fu'>filter_fluoroquinolones</span>(<span class='kw'>x</span>, result = <span class='kw'>NULL</span>, scope = <span class='st'>"any"</span>, <span class='kw'>...</span>)
<span class='fu'>filter_glycopeptides</span>(<span class='no'>x</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)
<span class='fu'>filter_glycopeptides</span>(<span class='kw'>x</span>, result = <span class='kw'>NULL</span>, scope = <span class='st'>"any"</span>, <span class='kw'>...</span>)
<span class='fu'>filter_macrolides</span>(<span class='no'>x</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)
<span class='fu'>filter_macrolides</span>(<span class='kw'>x</span>, result = <span class='kw'>NULL</span>, scope = <span class='st'>"any"</span>, <span class='kw'>...</span>)
<span class='fu'>filter_penicillins</span>(<span class='no'>x</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)
<span class='fu'>filter_penicillins</span>(<span class='kw'>x</span>, result = <span class='kw'>NULL</span>, scope = <span class='st'>"any"</span>, <span class='kw'>...</span>)
<span class='fu'>filter_tetracyclines</span>(<span class='no'>x</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)</pre>
<span class='fu'>filter_tetracyclines</span>(<span class='kw'>x</span>, result = <span class='kw'>NULL</span>, scope = <span class='st'>"any"</span>, <span class='kw'>...</span>)</pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
<table class="ref-arguments">
@ -303,40 +303,40 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
<div class='dont-index'><p><code><a href='antibiotic_class_selectors.html'>antibiotic_class_selectors()</a></code> for the <code><a href='https://dplyr.tidyverse.org/reference/select.html'>select()</a></code> equivalent.</p></div>
<h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
<pre class="examples"><span class='kw'>if</span> (<span class='fl'>FALSE</span>) {
<span class='fu'><a href='https://rdrr.io/r/base/library.html'>library</a></span>(<span class='no'>dplyr</span>)
<pre class="examples"><span class='co'>if</span> (<span class='fl'>FALSE</span>) {
<span class='fu'><a href='https://rdrr.io/r/base/library.html'>library</a></span>(<span class='kw'><a href='https://dplyr.tidyverse.org'>dplyr</a></span>)
<span class='co'># filter on isolates that have any result for any aminoglycoside</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span> <span class='fu'>filter_ab_class</span>(<span class='st'>"aminoglycoside"</span>)
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span> <span class='fu'>filter_aminoglycosides</span>()
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span> <span class='fu'>filter_ab_class</span>(<span class='st'>"aminoglycoside"</span>)
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span> <span class='fu'>filter_aminoglycosides</span>()
<span class='co'># this is essentially the same as (but without determination of column names):</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter_all.html'>filter_at</a></span>(<span class='kw'>.vars</span> <span class='kw'>=</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/vars.html'>vars</a></span>(<span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"GEN"</span>, <span class='st'>"TOB"</span>, <span class='st'>"AMK"</span>, <span class='st'>"KAN"</span>)),
<span class='kw'>.vars_predicate</span> <span class='kw'>=</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/all_vars.html'>any_vars</a></span>(<span class='no'>.</span> <span class='kw'>%in%</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"S"</span>, <span class='st'>"I"</span>, <span class='st'>"R"</span>)))
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter_all.html'>filter_at</a></span>(.vars = <span class='fu'><a href='https://dplyr.tidyverse.org/reference/vars.html'>vars</a></span>(<span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"GEN"</span>, <span class='st'>"TOB"</span>, <span class='st'>"AMK"</span>, <span class='st'>"KAN"</span>)),
.vars_predicate = <span class='fu'><a href='https://dplyr.tidyverse.org/reference/all_vars.html'>any_vars</a></span>(<span class='kw'>.</span> <span class='op'>%in%</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"S"</span>, <span class='st'>"I"</span>, <span class='st'>"R"</span>)))
<span class='co'># filter on isolates that show resistance to ANY aminoglycoside</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span> <span class='fu'>filter_aminoglycosides</span>(<span class='st'>"R"</span>, <span class='st'>"any"</span>)
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span> <span class='fu'>filter_aminoglycosides</span>(<span class='st'>"R"</span>, <span class='st'>"any"</span>)
<span class='co'># filter on isolates that show resistance to ALL aminoglycosides</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span> <span class='fu'>filter_aminoglycosides</span>(<span class='st'>"R"</span>, <span class='st'>"all"</span>)
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span> <span class='fu'>filter_aminoglycosides</span>(<span class='st'>"R"</span>, <span class='st'>"all"</span>)
<span class='co'># filter on isolates that show resistance to</span>
<span class='co'># any aminoglycoside and any fluoroquinolone</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'>filter_aminoglycosides</span>(<span class='st'>"R"</span>) <span class='kw'>%&gt;%</span>
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'>filter_aminoglycosides</span>(<span class='st'>"R"</span>) <span class='op'>%&gt;%</span>
<span class='fu'>filter_fluoroquinolones</span>(<span class='st'>"R"</span>)
<span class='co'># filter on isolates that show resistance to</span>
<span class='co'># all aminoglycosides and all fluoroquinolones</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'>filter_aminoglycosides</span>(<span class='st'>"R"</span>, <span class='st'>"all"</span>) <span class='kw'>%&gt;%</span>
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'>filter_aminoglycosides</span>(<span class='st'>"R"</span>, <span class='st'>"all"</span>) <span class='op'>%&gt;%</span>
<span class='fu'>filter_fluoroquinolones</span>(<span class='st'>"R"</span>, <span class='st'>"all"</span>)
<span class='co'># with dplyr 1.0.0 and higher (that adds 'across()'), this is equal:</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span> <span class='fu'>filter_carbapenems</span>(<span class='st'>"R"</span>, <span class='st'>"all"</span>)
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span>(<span class='fu'><a href='https://dplyr.tidyverse.org/reference/across.html'>across</a></span>(<span class='fu'><a href='antibiotic_class_selectors.html'>carbapenems</a></span>(), ~<span class='no'>.</span> <span class='kw'>==</span> <span class='st'>"R"</span>))
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span> <span class='fu'>filter_carbapenems</span>(<span class='st'>"R"</span>, <span class='st'>"all"</span>)
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span>(<span class='fu'><a href='https://dplyr.tidyverse.org/reference/across.html'>across</a></span>(<span class='fu'><a href='antibiotic_class_selectors.html'>carbapenems</a></span>(), <span class='op'>~</span><span class='kw'>.</span> <span class='op'>==</span> <span class='st'>"R"</span>))
}</pre>
</div>
<div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
@ -353,7 +353,7 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

118
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View File

@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -236,41 +236,41 @@
</div>
<pre class="usage"><span class='fu'>first_isolate</span>(
<span class='no'>x</span>,
<span class='kw'>col_date</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>col_patient_id</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>col_mo</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>col_testcode</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>col_specimen</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>col_icu</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>col_keyantibiotics</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>episode_days</span> <span class='kw'>=</span> <span class='fl'>365</span>,
<span class='kw'>testcodes_exclude</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>icu_exclude</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>,
<span class='kw'>specimen_group</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>type</span> <span class='kw'>=</span> <span class='st'>"keyantibiotics"</span>,
<span class='kw'>ignore_I</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>,
<span class='kw'>points_threshold</span> <span class='kw'>=</span> <span class='fl'>2</span>,
<span class='kw'>info</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/interactive.html'>interactive</a></span>(),
<span class='kw'>include_unknown</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>,
<span class='no'>...</span>
<span class='kw'>x</span>,
col_date = <span class='kw'>NULL</span>,
col_patient_id = <span class='kw'>NULL</span>,
col_mo = <span class='kw'>NULL</span>,
col_testcode = <span class='kw'>NULL</span>,
col_specimen = <span class='kw'>NULL</span>,
col_icu = <span class='kw'>NULL</span>,
col_keyantibiotics = <span class='kw'>NULL</span>,
episode_days = <span class='fl'>365</span>,
testcodes_exclude = <span class='kw'>NULL</span>,
icu_exclude = <span class='fl'>FALSE</span>,
specimen_group = <span class='kw'>NULL</span>,
type = <span class='st'>"keyantibiotics"</span>,
ignore_I = <span class='fl'>TRUE</span>,
points_threshold = <span class='fl'>2</span>,
info = <span class='fu'><a href='https://rdrr.io/r/base/interactive.html'>interactive</a></span>(),
include_unknown = <span class='fl'>FALSE</span>,
<span class='kw'>...</span>
)
<span class='fu'>filter_first_isolate</span>(
<span class='no'>x</span>,
<span class='kw'>col_date</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>col_patient_id</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>col_mo</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='no'>...</span>
<span class='kw'>x</span>,
col_date = <span class='kw'>NULL</span>,
col_patient_id = <span class='kw'>NULL</span>,
col_mo = <span class='kw'>NULL</span>,
<span class='kw'>...</span>
)
<span class='fu'>filter_first_weighted_isolate</span>(
<span class='no'>x</span>,
<span class='kw'>col_date</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>col_patient_id</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>col_mo</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>col_keyantibiotics</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='no'>...</span>
<span class='kw'>x</span>,
col_date = <span class='kw'>NULL</span>,
col_patient_id = <span class='kw'>NULL</span>,
col_mo = <span class='kw'>NULL</span>,
col_keyantibiotics = <span class='kw'>NULL</span>,
<span class='kw'>...</span>
)</pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
@ -362,14 +362,14 @@
<p><strong>WHY THIS IS SO IMPORTANT</strong> <br />
To conduct an analysis of antimicrobial resistance, you should only include the first isolate of every patient per episode <a href='https://www.ncbi.nlm.nih.gov/pubmed/17304462'>(ref)</a>. If you would not do this, you could easily get an overestimate or underestimate of the resistance of an antibiotic. Imagine that a patient was admitted with an MRSA and that it was found in 5 different blood cultures the following week. The resistance percentage of oxacillin of all <em>S. aureus</em> isolates would be overestimated, because you included this MRSA more than once. It would be <a href='https://en.wikipedia.org/wiki/Selection_bias'>selection bias</a>.</p>
<p>All isolates with a microbial ID of <code>NA</code> will be excluded as first isolate.</p>
<p>The functions <code>filter_first_isolate()</code> and <code>filter_first_weighted_isolate()</code> are helper functions to quickly filter on first isolates. The function <code>filter_first_isolate()</code> is essentially equal to one of:</p><pre> <span class='no'>x</span> <span class='kw'>%&amp;gt;%</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span>(<span class='fu'>first_isolate</span>(<span class='no'>.</span>, <span class='no'>...</span>))</pre>
<p>The functions <code>filter_first_isolate()</code> and <code>filter_first_weighted_isolate()</code> are helper functions to quickly filter on first isolates. The function <code>filter_first_isolate()</code> is essentially equal to one of:</p><pre> <span class='kw'>x</span> <span class='op'>%&gt;%</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span>(<span class='fu'>first_isolate</span>(<span class='kw'>.</span>, <span class='kw'>...</span>))</pre>
<p>The function <code>filter_first_weighted_isolate()</code> is essentially equal to:</p><pre> <span class='no'>x</span> <span class='kw'>%&amp;gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span>(<span class='kw'>keyab</span> <span class='kw'>=</span> <span class='fu'><a href='key_antibiotics.html'>key_antibiotics</a></span>(<span class='no'>.</span>)) <span class='kw'>%&amp;gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span>(<span class='kw'>only_weighted_firsts</span> <span class='kw'>=</span> <span class='fu'>first_isolate</span>(<span class='no'>x</span>,
<span class='kw'>col_keyantibiotics</span> <span class='kw'>=</span> <span class='st'>"keyab"</span>, <span class='no'>...</span>)) <span class='kw'>%&amp;gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span>(<span class='no'>only_weighted_firsts</span> <span class='kw'>==</span> <span class='fl'>TRUE</span>) <span class='kw'>%&amp;gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(-<span class='no'>only_weighted_firsts</span>, -<span class='no'>keyab</span>)</pre>
<p>The function <code>filter_first_weighted_isolate()</code> is essentially equal to:</p><pre> <span class='kw'>x</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span>(keyab = <span class='fu'><a href='key_antibiotics.html'>key_antibiotics</a></span>(<span class='kw'>.</span>)) <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span>(only_weighted_firsts = <span class='fu'>first_isolate</span>(<span class='kw'>x</span>,
col_keyantibiotics = <span class='st'>"keyab"</span>, <span class='kw'>...</span>)) <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span>(<span class='kw'>only_weighted_firsts</span> <span class='op'>==</span> <span class='fl'>TRUE</span>) <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='op'>-</span><span class='kw'>only_weighted_firsts</span>, <span class='op'>-</span><span class='kw'>keyab</span>)</pre>
<h2 class="hasAnchor" id="key-antibiotics"><a class="anchor" href="#key-antibiotics"></a>Key antibiotics</h2>
@ -402,24 +402,24 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
<pre class="examples"><span class='co'># `example_isolates` is a dataset available in the AMR package.</span>
<span class='co'># See ?example_isolates.</span>
<span class='kw'>if</span> (<span class='fl'>FALSE</span>) {
<span class='fu'><a href='https://rdrr.io/r/base/library.html'>library</a></span>(<span class='no'>dplyr</span>)
<span class='co'>if</span> (<span class='fl'>FALSE</span>) {
<span class='fu'><a href='https://rdrr.io/r/base/library.html'>library</a></span>(<span class='kw'><a href='https://dplyr.tidyverse.org'>dplyr</a></span>)
<span class='co'># Filter on first isolates:</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span>(<span class='kw'>first_isolate</span> <span class='kw'>=</span> <span class='fu'>first_isolate</span>(<span class='no'>.</span>)) <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span>(<span class='no'>first_isolate</span> <span class='kw'>==</span> <span class='fl'>TRUE</span>)
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span>(first_isolate = <span class='fu'>first_isolate</span>(<span class='kw'>.</span>)) <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span>(<span class='kw'>first_isolate</span> <span class='op'>==</span> <span class='fl'>TRUE</span>)
<span class='co'># Now let's see if first isolates matter:</span>
<span class='no'>A</span> <span class='kw'>&lt;-</span> <span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span>(<span class='no'>hospital_id</span>) <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise</a></span>(<span class='kw'>count</span> <span class='kw'>=</span> <span class='fu'><a href='count.html'>n_rsi</a></span>(<span class='no'>GEN</span>), <span class='co'># gentamicin availability</span>
<span class='kw'>resistance</span> <span class='kw'>=</span> <span class='fu'><a href='proportion.html'>resistance</a></span>(<span class='no'>GEN</span>)) <span class='co'># gentamicin resistance</span>
<span class='kw'>A</span> <span class='op'>&lt;-</span> <span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span>(<span class='kw'>hospital_id</span>) <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise</a></span>(count = <span class='fu'><a href='count.html'>n_rsi</a></span>(<span class='kw'>GEN</span>), <span class='co'># gentamicin availability</span>
resistance = <span class='fu'><a href='proportion.html'>resistance</a></span>(<span class='kw'>GEN</span>)) <span class='co'># gentamicin resistance</span>
<span class='no'>B</span> <span class='kw'>&lt;-</span> <span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'>filter_first_weighted_isolate</span>() <span class='kw'>%&gt;%</span> <span class='co'># the 1st isolate filter</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span>(<span class='no'>hospital_id</span>) <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise</a></span>(<span class='kw'>count</span> <span class='kw'>=</span> <span class='fu'><a href='count.html'>n_rsi</a></span>(<span class='no'>GEN</span>), <span class='co'># gentamicin availability</span>
<span class='kw'>resistance</span> <span class='kw'>=</span> <span class='fu'><a href='proportion.html'>resistance</a></span>(<span class='no'>GEN</span>)) <span class='co'># gentamicin resistance</span>
<span class='kw'>B</span> <span class='op'>&lt;-</span> <span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'>filter_first_weighted_isolate</span>() <span class='op'>%&gt;%</span> <span class='co'># the 1st isolate filter</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span>(<span class='kw'>hospital_id</span>) <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise</a></span>(count = <span class='fu'><a href='count.html'>n_rsi</a></span>(<span class='kw'>GEN</span>), <span class='co'># gentamicin availability</span>
resistance = <span class='fu'><a href='proportion.html'>resistance</a></span>(<span class='kw'>GEN</span>)) <span class='co'># gentamicin resistance</span>
<span class='co'># Have a look at A and B.</span>
<span class='co'># B is more reliable because every isolate is counted only once.</span>
@ -430,21 +430,21 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
<span class='co'>## OTHER EXAMPLES:</span>
<span class='co'># Short-hand versions:</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'>filter_first_isolate</span>()
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'>filter_first_weighted_isolate</span>()
<span class='co'># set key antibiotics to a new variable</span>
<span class='no'>x</span>$<span class='no'>keyab</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='key_antibiotics.html'>key_antibiotics</a></span>(<span class='no'>x</span>)
<span class='kw'>x</span><span class='op'>$</span><span class='kw'>keyab</span> <span class='op'>&lt;-</span> <span class='fu'><a href='key_antibiotics.html'>key_antibiotics</a></span>(<span class='kw'>x</span>)
<span class='no'>x</span>$<span class='no'>first_isolate</span> <span class='kw'>&lt;-</span> <span class='fu'>first_isolate</span>(<span class='no'>x</span>)
<span class='kw'>x</span><span class='op'>$</span><span class='kw'>first_isolate</span> <span class='op'>&lt;-</span> <span class='fu'>first_isolate</span>(<span class='kw'>x</span>)
<span class='no'>x</span>$<span class='no'>first_isolate_weighed</span> <span class='kw'>&lt;-</span> <span class='fu'>first_isolate</span>(<span class='no'>x</span>, <span class='kw'>col_keyantibiotics</span> <span class='kw'>=</span> <span class='st'>'keyab'</span>)
<span class='kw'>x</span><span class='op'>$</span><span class='kw'>first_isolate_weighed</span> <span class='op'>&lt;-</span> <span class='fu'>first_isolate</span>(<span class='kw'>x</span>, col_keyantibiotics = <span class='st'>'keyab'</span>)
<span class='no'>x</span>$<span class='no'>first_blood_isolate</span> <span class='kw'>&lt;-</span> <span class='fu'>first_isolate</span>(<span class='no'>x</span>, <span class='kw'>specimen_group</span> <span class='kw'>=</span> <span class='st'>"Blood"</span>)
<span class='kw'>x</span><span class='op'>$</span><span class='kw'>first_blood_isolate</span> <span class='op'>&lt;-</span> <span class='fu'>first_isolate</span>(<span class='kw'>x</span>, specimen_group = <span class='st'>"Blood"</span>)
}</pre>
</div>
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@ -461,7 +461,7 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
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23
docs/reference/g.test.html
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@ -6,7 +6,7 @@
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<title><em>G</em>-test for Count Data — g.test • AMR (for R)</title>
<title>G-test for Count Data — g.test • AMR (for R)</title>
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@ -48,7 +48,7 @@
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<meta property="og:title" content="<em>G</em>-test for Count Data — g.test" />
<meta property="og:title" content="G-test for Count Data — g.test" />
<meta property="og:description" content="g.test() performs chi-squared contingency table tests and goodness-of-fit tests, just like chisq.test() but is more reliable (1). A G-test can be used to see whether the number of observations in each category fits a theoretical expectation (called a G-test of goodness-of-fit), or to see whether the proportions of one variable are different for different values of the other variable (called a G-test of independence)." />
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@ -82,7 +82,7 @@
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<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -235,7 +235,7 @@
<p><code>g.test()</code> performs chi-squared contingency table tests and goodness-of-fit tests, just like <code><a href='https://rdrr.io/r/stats/chisq.test.html'>chisq.test()</a></code> but is more reliable (1). A <em>G</em>-test can be used to see whether the number of observations in each category fits a theoretical expectation (called a <strong><em>G</em>-test of goodness-of-fit</strong>), or to see whether the proportions of one variable are different for different values of the other variable (called a <strong><em>G</em>-test of independence</strong>).</p>
</div>
<pre class="usage"><span class='fu'>g.test</span>(<span class='no'>x</span>, <span class='kw'>y</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>p</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/rep.html'>rep</a></span>(<span class='fl'>1</span>/<span class='fu'><a href='https://rdrr.io/r/base/length.html'>length</a></span>(<span class='no'>x</span>), <span class='fu'><a href='https://rdrr.io/r/base/length.html'>length</a></span>(<span class='no'>x</span>)), <span class='kw'>rescale.p</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)</pre>
<pre class="usage"><span class='fu'>g.test</span>(<span class='kw'>x</span>, y = <span class='kw'>NULL</span>, p = <span class='fu'><a href='https://rdrr.io/r/base/rep.html'>rep</a></span>(<span class='fl'>1</span><span class='op'>/</span><span class='fu'><a href='https://rdrr.io/r/base/length.html'>length</a></span>(<span class='kw'>x</span>), <span class='fu'><a href='https://rdrr.io/r/base/length.html'>length</a></span>(<span class='kw'>x</span>)), rescale.p = <span class='fl'>FALSE</span>)</pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
<table class="ref-arguments">
@ -319,7 +319,7 @@
<p>Unlike the exact test of goodness-of-fit (<code><a href='https://rdrr.io/r/stats/fisher.test.html'>fisher.test()</a></code>), the <em>G</em>-test does not directly calculate the probability of obtaining the observed results or something more extreme. Instead, like almost all statistical tests, the <em>G</em>-test has an intermediate step; it uses the data to calculate a test statistic that measures how far the observed data are from the null expectation. You then use a mathematical relationship, in this case the chi-square distribution, to estimate the probability of obtaining that value of the test statistic.</p>
<p>The <em>G</em>-test uses the log of the ratio of two likelihoods as the test statistic, which is why it is also called a likelihood ratio test or log-likelihood ratio test. The formula to calculate a <em>G</em>-statistic is:</p>
<p>\(G = 2 * sum(x * log(x / E))\)</p>
<p>where <code>E</code> are the expected values. Since this is chi-square distributed, the p value can be calculated in <span style="R">R</span> with:</p><pre><span class='no'>p</span> <span class='kw'>&amp;</span><span class='no'>lt</span>;- <span class='kw pkg'>stats</span><span class='kw ns'>::</span><span class='fu'><a href='https://rdrr.io/r/stats/Chisquare.html'>pchisq</a></span>(<span class='no'>G</span>, <span class='no'>df</span>, <span class='kw'>lower.tail</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)</pre>
<p>where <code>E</code> are the expected values. Since this is chi-square distributed, the p value can be calculated in <span style="R">R</span> with:</p><pre><span class='kw'>p</span> <span class='op'>&lt;-</span> <span class='kw'>stats</span>::<span class='fu'><a href='https://rdrr.io/r/stats/Chisquare.html'>pchisq</a></span>(<span class='kw'>G</span>, <span class='kw'>df</span>, lower.tail = <span class='fl'>FALSE</span>)</pre>
<p>where <code>df</code> are the degrees of freedom.</p>
<p>If there are more than two categories and you want to find out which ones are significantly different from their null expectation, you can use the same method of testing each category vs. the sum of all categories, with the Bonferroni correction. You use <em>G</em>-tests for each category, of course.</p>
@ -356,8 +356,8 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>questioni
<span class='co'># by a single gene with two co-dominant alleles, you would expect a 1:2:1</span>
<span class='co'># ratio.</span>
<span class='no'>x</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='fl'>772</span>, <span class='fl'>1611</span>, <span class='fl'>737</span>)
<span class='no'>G</span> <span class='kw'>&lt;-</span> <span class='fu'>g.test</span>(<span class='no'>x</span>, <span class='kw'>p</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='fl'>1</span>, <span class='fl'>2</span>, <span class='fl'>1</span>) / <span class='fl'>4</span>)
<span class='kw'>x</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='fl'>772</span>, <span class='fl'>1611</span>, <span class='fl'>737</span>)
<span class='kw'>G</span> <span class='op'>&lt;-</span> <span class='fu'>g.test</span>(<span class='kw'>x</span>, p = <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='fl'>1</span>, <span class='fl'>2</span>, <span class='fl'>1</span>) <span class='op'>/</span> <span class='fl'>4</span>)
<span class='co'># G$p.value = 0.12574.</span>
<span class='co'># There is no significant difference from a 1:2:1 ratio.</span>
@ -372,12 +372,13 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>questioni
<span class='co'># keep the number of right and left-billed birds at a 1:1 ratio. Groth (1992)</span>
<span class='co'># observed 1752 right-billed and 1895 left-billed crossbills.</span>
<span class='no'>x</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='fl'>1752</span>, <span class='fl'>1895</span>)
<span class='fu'>g.test</span>(<span class='no'>x</span>)
<span class='kw'>x</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='fl'>1752</span>, <span class='fl'>1895</span>)
<span class='fu'>g.test</span>(<span class='kw'>x</span>)
<span class='co'># p = 0.01787343</span>
<span class='co'># There is a significant difference from a 1:1 ratio.</span>
<span class='co'># Meaning: there are significantly more left-billed birds.</span></pre>
<span class='co'># Meaning: there are significantly more left-billed birds.</span>
</pre>
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@ -393,7 +394,7 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>questioni
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@ -6,7 +6,7 @@
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<title>PCA biplot with <code>ggplot2</code> — ggplot_pca • AMR (for R)</title>
<title>PCA biplot with ggplot2 — ggplot_pca • AMR (for R)</title>
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<meta property="og:description" content="Produces a ggplot2 variant of a so-called biplot for PCA (principal component analysis), but is more flexible and more appealing than the base R biplot() function." />
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@ -82,7 +82,7 @@
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</span>
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@ -236,28 +236,28 @@
</div>
<pre class="usage"><span class='fu'>ggplot_pca</span>(
<span class='no'>x</span>,
<span class='kw'>choices</span> <span class='kw'>=</span> <span class='fl'>1</span>:<span class='fl'>2</span>,
<span class='kw'>scale</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>,
<span class='kw'>pc.biplot</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>,
<span class='kw'>labels</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>labels_textsize</span> <span class='kw'>=</span> <span class='fl'>3</span>,
<span class='kw'>labels_text_placement</span> <span class='kw'>=</span> <span class='fl'>1.5</span>,
<span class='kw'>groups</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>ellipse</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>,
<span class='kw'>ellipse_prob</span> <span class='kw'>=</span> <span class='fl'>0.68</span>,
<span class='kw'>ellipse_size</span> <span class='kw'>=</span> <span class='fl'>0.5</span>,
<span class='kw'>ellipse_alpha</span> <span class='kw'>=</span> <span class='fl'>0.5</span>,
<span class='kw'>points_size</span> <span class='kw'>=</span> <span class='fl'>2</span>,
<span class='kw'>points_alpha</span> <span class='kw'>=</span> <span class='fl'>0.25</span>,
<span class='kw'>arrows</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>,
<span class='kw'>arrows_colour</span> <span class='kw'>=</span> <span class='st'>"darkblue"</span>,
<span class='kw'>arrows_size</span> <span class='kw'>=</span> <span class='fl'>0.5</span>,
<span class='kw'>arrows_textsize</span> <span class='kw'>=</span> <span class='fl'>3</span>,
<span class='kw'>arrows_textangled</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>,
<span class='kw'>arrows_alpha</span> <span class='kw'>=</span> <span class='fl'>0.75</span>,
<span class='kw'>base_textsize</span> <span class='kw'>=</span> <span class='fl'>10</span>,
<span class='no'>...</span>
<span class='kw'>x</span>,
choices = <span class='fl'>1</span><span class='op'>:</span><span class='fl'>2</span>,
scale = <span class='fl'>TRUE</span>,
pc.biplot = <span class='fl'>TRUE</span>,
labels = <span class='kw'>NULL</span>,
labels_textsize = <span class='fl'>3</span>,
labels_text_placement = <span class='fl'>1.5</span>,
groups = <span class='kw'>NULL</span>,
ellipse = <span class='fl'>TRUE</span>,
ellipse_prob = <span class='fl'>0.68</span>,
ellipse_size = <span class='fl'>0.5</span>,
ellipse_alpha = <span class='fl'>0.5</span>,
points_size = <span class='fl'>2</span>,
points_alpha = <span class='fl'>0.25</span>,
arrows = <span class='fl'>TRUE</span>,
arrows_colour = <span class='st'>"darkblue"</span>,
arrows_size = <span class='fl'>0.5</span>,
arrows_textsize = <span class='fl'>3</span>,
arrows_textangled = <span class='fl'>TRUE</span>,
arrows_alpha = <span class='fl'>0.75</span>,
base_textsize = <span class='fl'>10</span>,
<span class='kw'>...</span>
)</pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
@ -388,24 +388,24 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>maturing<
<span class='co'># See ?example_isolates.</span>
<span class='co'># See ?pca for more info about Principal Component Analysis (PCA).</span>
<span class='kw'>if</span> (<span class='fl'>FALSE</span>) {
<span class='fu'><a href='https://rdrr.io/r/base/library.html'>library</a></span>(<span class='no'>dplyr</span>)
<span class='no'>pca_model</span> <span class='kw'>&lt;-</span> <span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span>(<span class='fu'><a href='mo_property.html'>mo_genus</a></span>(<span class='no'>mo</span>) <span class='kw'>==</span> <span class='st'>"Staphylococcus"</span>) <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span>(<span class='kw'>species</span> <span class='kw'>=</span> <span class='fu'><a href='mo_property.html'>mo_shortname</a></span>(<span class='no'>mo</span>)) <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/summarise_all.html'>summarise_if</a></span> (<span class='no'>is.rsi</span>, <span class='no'>resistance</span>) <span class='kw'>%&gt;%</span>
<span class='fu'><a href='pca.html'>pca</a></span>(<span class='no'>FLC</span>, <span class='no'>AMC</span>, <span class='no'>CXM</span>, <span class='no'>GEN</span>, <span class='no'>TOB</span>, <span class='no'>TMP</span>, <span class='no'>SXT</span>, <span class='no'>CIP</span>, <span class='no'>TEC</span>, <span class='no'>TCY</span>, <span class='no'>ERY</span>)
<span class='co'>if</span> (<span class='fl'>FALSE</span>) {
<span class='fu'><a href='https://rdrr.io/r/base/library.html'>library</a></span>(<span class='kw'><a href='https://dplyr.tidyverse.org'>dplyr</a></span>)
<span class='kw'>pca_model</span> <span class='op'>&lt;-</span> <span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span>(<span class='fu'><a href='mo_property.html'>mo_genus</a></span>(<span class='kw'>mo</span>) <span class='op'>==</span> <span class='st'>"Staphylococcus"</span>) <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span>(species = <span class='fu'><a href='mo_property.html'>mo_shortname</a></span>(<span class='kw'>mo</span>)) <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/summarise_all.html'>summarise_if</a></span> (<span class='kw'>is.rsi</span>, <span class='kw'>resistance</span>) <span class='op'>%&gt;%</span>
<span class='fu'><a href='pca.html'>pca</a></span>(<span class='kw'>FLC</span>, <span class='kw'>AMC</span>, <span class='kw'>CXM</span>, <span class='kw'>GEN</span>, <span class='kw'>TOB</span>, <span class='kw'>TMP</span>, <span class='kw'>SXT</span>, <span class='kw'>CIP</span>, <span class='kw'>TEC</span>, <span class='kw'>TCY</span>, <span class='kw'>ERY</span>)
<span class='co'># old (base R)</span>
<span class='fu'><a href='https://rdrr.io/r/stats/biplot.html'>biplot</a></span>(<span class='no'>pca_model</span>)
<span class='fu'><a href='https://rdrr.io/r/stats/biplot.html'>biplot</a></span>(<span class='kw'>pca_model</span>)
<span class='co'># new </span>
<span class='fu'>ggplot_pca</span>(<span class='no'>pca_model</span>)
<span class='kw'>if</span> (<span class='fu'><a href='https://rdrr.io/r/base/library.html'>require</a></span>(<span class='st'>"ggplot2"</span>)) {
<span class='fu'>ggplot_pca</span>(<span class='no'>pca_model</span>) +
<span class='fu'><a href='https://ggplot2.tidyverse.org/reference/scale_viridis.html'>scale_colour_viridis_d</a></span>() +
<span class='fu'><a href='https://ggplot2.tidyverse.org/reference/labs.html'>labs</a></span>(<span class='kw'>title</span> <span class='kw'>=</span> <span class='st'>"Title here"</span>)
<span class='fu'>ggplot_pca</span>(<span class='kw'>pca_model</span>)
<span class='co'>if</span> (<span class='fu'><a href='https://rdrr.io/r/base/library.html'>require</a></span>(<span class='st'><a href='http://ggplot2.tidyverse.org'>"ggplot2"</a></span>)) {
<span class='fu'>ggplot_pca</span>(<span class='kw'>pca_model</span>) <span class='op'>+</span>
<span class='fu'><a href='https://ggplot2.tidyverse.org/reference/scale_viridis.html'>scale_colour_viridis_d</a></span>() <span class='op'>+</span>
<span class='fu'><a href='https://ggplot2.tidyverse.org/reference/labs.html'>labs</a></span>(title = <span class='st'>"Title here"</span>)
}
}</pre>
</div>
@ -423,7 +423,7 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>maturing<
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

200
docs/reference/ggplot_rsi.html
View File

@ -6,7 +6,7 @@
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>AMR plots with <code>ggplot2</code> — ggplot_rsi • AMR (for R)</title>
<title>AMR plots with ggplot2 — ggplot_rsi • AMR (for R)</title>
<!-- favicons -->
<link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png">
@ -48,7 +48,7 @@
<link href="../extra.css" rel="stylesheet">
<script src="../extra.js"></script>
<meta property="og:title" content="AMR plots with <code>ggplot2</code> — ggplot_rsi" />
<meta property="og:title" content="AMR plots with ggplot2 — ggplot_rsi" />
<meta property="og:description" content="Use these functions to create bar plots for antimicrobial resistance analysis. All functions rely on ggplot2 functions." />
<meta property="og:image" content="https://msberends.github.io/AMR/logo.svg" />
@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -236,61 +236,61 @@
</div>
<pre class="usage"><span class='fu'>ggplot_rsi</span>(
<span class='no'>data</span>,
<span class='kw'>position</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>x</span> <span class='kw'>=</span> <span class='st'>"antibiotic"</span>,
<span class='kw'>fill</span> <span class='kw'>=</span> <span class='st'>"interpretation"</span>,
<span class='kw'>facet</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>breaks</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/seq.html'>seq</a></span>(<span class='fl'>0</span>, <span class='fl'>1</span>, <span class='fl'>0.1</span>),
<span class='kw'>limits</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>translate_ab</span> <span class='kw'>=</span> <span class='st'>"name"</span>,
<span class='kw'>combine_SI</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>,
<span class='kw'>combine_IR</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>,
<span class='kw'>language</span> <span class='kw'>=</span> <span class='fu'><a href='translate.html'>get_locale</a></span>(),
<span class='kw'>nrow</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>colours</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='kw'>S</span> <span class='kw'>=</span> <span class='st'>"#61a8ff"</span>, <span class='kw'>SI</span> <span class='kw'>=</span> <span class='st'>"#61a8ff"</span>, <span class='kw'>I</span> <span class='kw'>=</span> <span class='st'>"#61f7ff"</span>, <span class='kw'>IR</span> <span class='kw'>=</span> <span class='st'>"#ff6961"</span>, <span class='kw'>R</span> <span class='kw'>=</span>
<span class='kw'>data</span>,
position = <span class='kw'>NULL</span>,
x = <span class='st'>"antibiotic"</span>,
fill = <span class='st'>"interpretation"</span>,
facet = <span class='kw'>NULL</span>,
breaks = <span class='fu'><a href='https://rdrr.io/r/base/seq.html'>seq</a></span>(<span class='fl'>0</span>, <span class='fl'>1</span>, <span class='fl'>0.1</span>),
limits = <span class='kw'>NULL</span>,
translate_ab = <span class='st'>"name"</span>,
combine_SI = <span class='fl'>TRUE</span>,
combine_IR = <span class='fl'>FALSE</span>,
language = <span class='fu'><a href='translate.html'>get_locale</a></span>(),
nrow = <span class='kw'>NULL</span>,
colours = <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(S = <span class='st'>"#61a8ff"</span>, SI = <span class='st'>"#61a8ff"</span>, I = <span class='st'>"#61f7ff"</span>, IR = <span class='st'>"#ff6961"</span>, R =
<span class='st'>"#ff6961"</span>),
<span class='kw'>datalabels</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>,
<span class='kw'>datalabels.size</span> <span class='kw'>=</span> <span class='fl'>2.5</span>,
<span class='kw'>datalabels.colour</span> <span class='kw'>=</span> <span class='st'>"gray15"</span>,
<span class='kw'>title</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>subtitle</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>caption</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>x.title</span> <span class='kw'>=</span> <span class='st'>"Antimicrobial"</span>,
<span class='kw'>y.title</span> <span class='kw'>=</span> <span class='st'>"Proportion"</span>,
<span class='no'>...</span>
datalabels = <span class='fl'>TRUE</span>,
datalabels.size = <span class='fl'>2.5</span>,
datalabels.colour = <span class='st'>"gray15"</span>,
title = <span class='kw'>NULL</span>,
subtitle = <span class='kw'>NULL</span>,
caption = <span class='kw'>NULL</span>,
x.title = <span class='st'>"Antimicrobial"</span>,
y.title = <span class='st'>"Proportion"</span>,
<span class='kw'>...</span>
)
<span class='fu'>geom_rsi</span>(
<span class='kw'>position</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>x</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"antibiotic"</span>, <span class='st'>"interpretation"</span>),
<span class='kw'>fill</span> <span class='kw'>=</span> <span class='st'>"interpretation"</span>,
<span class='kw'>translate_ab</span> <span class='kw'>=</span> <span class='st'>"name"</span>,
<span class='kw'>language</span> <span class='kw'>=</span> <span class='fu'><a href='translate.html'>get_locale</a></span>(),
<span class='kw'>combine_SI</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>,
<span class='kw'>combine_IR</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>,
<span class='no'>...</span>
position = <span class='kw'>NULL</span>,
x = <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"antibiotic"</span>, <span class='st'>"interpretation"</span>),
fill = <span class='st'>"interpretation"</span>,
translate_ab = <span class='st'>"name"</span>,
language = <span class='fu'><a href='translate.html'>get_locale</a></span>(),
combine_SI = <span class='fl'>TRUE</span>,
combine_IR = <span class='fl'>FALSE</span>,
<span class='kw'>...</span>
)
<span class='fu'>facet_rsi</span>(<span class='kw'>facet</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"interpretation"</span>, <span class='st'>"antibiotic"</span>), <span class='kw'>nrow</span> <span class='kw'>=</span> <span class='kw'>NULL</span>)
<span class='fu'>facet_rsi</span>(facet = <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"interpretation"</span>, <span class='st'>"antibiotic"</span>), nrow = <span class='kw'>NULL</span>)
<span class='fu'>scale_y_percent</span>(<span class='kw'>breaks</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/seq.html'>seq</a></span>(<span class='fl'>0</span>, <span class='fl'>1</span>, <span class='fl'>0.1</span>), <span class='kw'>limits</span> <span class='kw'>=</span> <span class='kw'>NULL</span>)
<span class='fu'>scale_y_percent</span>(breaks = <span class='fu'><a href='https://rdrr.io/r/base/seq.html'>seq</a></span>(<span class='fl'>0</span>, <span class='fl'>1</span>, <span class='fl'>0.1</span>), limits = <span class='kw'>NULL</span>)
<span class='fu'>scale_rsi_colours</span>(
<span class='kw'>colours</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='kw'>S</span> <span class='kw'>=</span> <span class='st'>"#61a8ff"</span>, <span class='kw'>SI</span> <span class='kw'>=</span> <span class='st'>"#61a8ff"</span>, <span class='kw'>I</span> <span class='kw'>=</span> <span class='st'>"#61f7ff"</span>, <span class='kw'>IR</span> <span class='kw'>=</span> <span class='st'>"#ff6961"</span>, <span class='kw'>R</span> <span class='kw'>=</span>
colours = <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(S = <span class='st'>"#61a8ff"</span>, SI = <span class='st'>"#61a8ff"</span>, I = <span class='st'>"#61f7ff"</span>, IR = <span class='st'>"#ff6961"</span>, R =
<span class='st'>"#ff6961"</span>)
)
<span class='fu'>theme_rsi</span>()
<span class='fu'>labels_rsi_count</span>(
<span class='kw'>position</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>x</span> <span class='kw'>=</span> <span class='st'>"antibiotic"</span>,
<span class='kw'>translate_ab</span> <span class='kw'>=</span> <span class='st'>"name"</span>,
<span class='kw'>combine_SI</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>,
<span class='kw'>combine_IR</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>,
<span class='kw'>datalabels.size</span> <span class='kw'>=</span> <span class='fl'>3</span>,
<span class='kw'>datalabels.colour</span> <span class='kw'>=</span> <span class='st'>"gray15"</span>
position = <span class='kw'>NULL</span>,
x = <span class='st'>"antibiotic"</span>,
translate_ab = <span class='st'>"name"</span>,
combine_SI = <span class='fl'>TRUE</span>,
combine_IR = <span class='fl'>FALSE</span>,
datalabels.size = <span class='fl'>3</span>,
datalabels.colour = <span class='st'>"gray15"</span>
)</pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
@ -412,79 +412,79 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>maturing<
<p>On our website <a href='https://msberends.github.io/AMR'>https://msberends.github.io/AMR</a> you can find <a href='https://msberends.github.io/AMR/articles/AMR.html'>a comprehensive tutorial</a> about how to conduct AMR analysis, the <a href='https://msberends.github.io/AMR/reference'>complete documentation of all functions</a> (which reads a lot easier than here in R) and <a href='https://msberends.github.io/AMR/articles/WHONET.html'>an example analysis using WHONET data</a>. As we would like to better understand the backgrounds and needs of our users, please <a href='https://msberends.github.io/AMR/survey.html'>participate in our survey</a>!</p>
<h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
<pre class="examples"><span class='kw'>if</span> (<span class='fu'><a href='https://rdrr.io/r/base/library.html'>require</a></span>(<span class='st'>"ggplot2"</span>) <span class='kw'>&amp;</span> <span class='fu'><a href='https://rdrr.io/r/base/library.html'>require</a></span>(<span class='st'>"dplyr"</span>)) {
<pre class="examples"><span class='co'>if</span> (<span class='fu'><a href='https://rdrr.io/r/base/library.html'>require</a></span>(<span class='st'><a href='http://ggplot2.tidyverse.org'>"ggplot2"</a></span>) <span class='op'>&amp;</span> <span class='fu'><a href='https://rdrr.io/r/base/library.html'>require</a></span>(<span class='st'><a href='https://dplyr.tidyverse.org'>"dplyr"</a></span>)) {
<span class='co'># get antimicrobial results for drugs against a UTI:</span>
<span class='fu'><a href='https://ggplot2.tidyverse.org/reference/ggplot.html'>ggplot</a></span>(<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='no'>AMX</span>, <span class='no'>NIT</span>, <span class='no'>FOS</span>, <span class='no'>TMP</span>, <span class='no'>CIP</span>)) +
<span class='fu'><a href='https://ggplot2.tidyverse.org/reference/ggplot.html'>ggplot</a></span>(<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='kw'>AMX</span>, <span class='kw'>NIT</span>, <span class='kw'>FOS</span>, <span class='kw'>TMP</span>, <span class='kw'>CIP</span>)) <span class='op'>+</span>
<span class='fu'>geom_rsi</span>()
<span class='co'># prettify the plot using some additional functions:</span>
<span class='no'>df</span> <span class='kw'>&lt;-</span> <span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='no'>AMX</span>, <span class='no'>NIT</span>, <span class='no'>FOS</span>, <span class='no'>TMP</span>, <span class='no'>CIP</span>)
<span class='fu'><a href='https://ggplot2.tidyverse.org/reference/ggplot.html'>ggplot</a></span>(<span class='no'>df</span>) +
<span class='fu'>geom_rsi</span>() +
<span class='fu'>scale_y_percent</span>() +
<span class='fu'>scale_rsi_colours</span>() +
<span class='fu'>labels_rsi_count</span>() +
<span class='kw'>df</span> <span class='op'>&lt;-</span> <span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='kw'>AMX</span>, <span class='kw'>NIT</span>, <span class='kw'>FOS</span>, <span class='kw'>TMP</span>, <span class='kw'>CIP</span>)
<span class='fu'><a href='https://ggplot2.tidyverse.org/reference/ggplot.html'>ggplot</a></span>(<span class='kw'>df</span>) <span class='op'>+</span>
<span class='fu'>geom_rsi</span>() <span class='op'>+</span>
<span class='fu'>scale_y_percent</span>() <span class='op'>+</span>
<span class='fu'>scale_rsi_colours</span>() <span class='op'>+</span>
<span class='fu'>labels_rsi_count</span>() <span class='op'>+</span>
<span class='fu'>theme_rsi</span>()
<span class='co'># or better yet, simplify this using the wrapper function - a single command:</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='no'>AMX</span>, <span class='no'>NIT</span>, <span class='no'>FOS</span>, <span class='no'>TMP</span>, <span class='no'>CIP</span>) <span class='kw'>%&gt;%</span>
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='kw'>AMX</span>, <span class='kw'>NIT</span>, <span class='kw'>FOS</span>, <span class='kw'>TMP</span>, <span class='kw'>CIP</span>) <span class='op'>%&gt;%</span>
<span class='fu'>ggplot_rsi</span>()
<span class='co'># get only proportions and no counts:</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='no'>AMX</span>, <span class='no'>NIT</span>, <span class='no'>FOS</span>, <span class='no'>TMP</span>, <span class='no'>CIP</span>) <span class='kw'>%&gt;%</span>
<span class='fu'>ggplot_rsi</span>(<span class='kw'>datalabels</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='kw'>AMX</span>, <span class='kw'>NIT</span>, <span class='kw'>FOS</span>, <span class='kw'>TMP</span>, <span class='kw'>CIP</span>) <span class='op'>%&gt;%</span>
<span class='fu'>ggplot_rsi</span>(datalabels = <span class='fl'>FALSE</span>)
<span class='co'># add other ggplot2 parameters as you like:</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='no'>AMX</span>, <span class='no'>NIT</span>, <span class='no'>FOS</span>, <span class='no'>TMP</span>, <span class='no'>CIP</span>) <span class='kw'>%&gt;%</span>
<span class='fu'>ggplot_rsi</span>(<span class='kw'>width</span> <span class='kw'>=</span> <span class='fl'>0.5</span>,
<span class='kw'>colour</span> <span class='kw'>=</span> <span class='st'>"black"</span>,
<span class='kw'>size</span> <span class='kw'>=</span> <span class='fl'>1</span>,
<span class='kw'>linetype</span> <span class='kw'>=</span> <span class='fl'>2</span>,
<span class='kw'>alpha</span> <span class='kw'>=</span> <span class='fl'>0.25</span>)
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='no'>AMX</span>) <span class='kw'>%&gt;%</span>
<span class='fu'>ggplot_rsi</span>(<span class='kw'>colours</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='kw'>SI</span> <span class='kw'>=</span> <span class='st'>"yellow"</span>))
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='kw'>AMX</span>, <span class='kw'>NIT</span>, <span class='kw'>FOS</span>, <span class='kw'>TMP</span>, <span class='kw'>CIP</span>) <span class='op'>%&gt;%</span>
<span class='fu'>ggplot_rsi</span>(width = <span class='fl'>0.5</span>,
colour = <span class='st'>"black"</span>,
size = <span class='fl'>1</span>,
linetype = <span class='fl'>2</span>,
alpha = <span class='fl'>0.25</span>)
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='kw'>AMX</span>) <span class='op'>%&gt;%</span>
<span class='fu'>ggplot_rsi</span>(colours = <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(SI = <span class='st'>"yellow"</span>))
}
<span class='kw'>if</span> (<span class='fl'>FALSE</span>) {
<span class='co'>if</span> (<span class='fl'>FALSE</span>) {
<span class='co'># resistance of ciprofloxacine per age group</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span>(<span class='kw'>first_isolate</span> <span class='kw'>=</span> <span class='fu'><a href='first_isolate.html'>first_isolate</a></span>(<span class='no'>.</span>)) <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span>(<span class='no'>first_isolate</span> <span class='kw'>==</span> <span class='fl'>TRUE</span>,
<span class='no'>mo</span> <span class='kw'>==</span> <span class='fu'><a href='as.mo.html'>as.mo</a></span>(<span class='st'>"E. coli"</span>)) <span class='kw'>%&gt;%</span>
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span>(first_isolate = <span class='fu'><a href='first_isolate.html'>first_isolate</a></span>(<span class='kw'>.</span>)) <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span>(<span class='kw'>first_isolate</span> <span class='op'>==</span> <span class='fl'>TRUE</span>,
<span class='kw'>mo</span> <span class='op'>==</span> <span class='fu'><a href='as.mo.html'>as.mo</a></span>(<span class='st'>"E. coli"</span>)) <span class='op'>%&gt;%</span>
<span class='co'># `age_group` is also a function of this package:</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span>(<span class='kw'>age_group</span> <span class='kw'>=</span> <span class='fu'><a href='age_groups.html'>age_groups</a></span>(<span class='no'>age</span>)) <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='no'>age_group</span>,
<span class='no'>CIP</span>) <span class='kw'>%&gt;%</span>
<span class='fu'>ggplot_rsi</span>(<span class='kw'>x</span> <span class='kw'>=</span> <span class='st'>"age_group"</span>)
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span>(age_group = <span class='fu'><a href='age_groups.html'>age_groups</a></span>(<span class='kw'>age</span>)) <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='kw'>age_group</span>,
<span class='kw'>CIP</span>) <span class='op'>%&gt;%</span>
<span class='fu'>ggplot_rsi</span>(x = <span class='st'>"age_group"</span>)
<span class='co'># for colourblind mode, use divergent colours from the viridis package:</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='no'>AMX</span>, <span class='no'>NIT</span>, <span class='no'>FOS</span>, <span class='no'>TMP</span>, <span class='no'>CIP</span>) <span class='kw'>%&gt;%</span>
<span class='fu'>ggplot_rsi</span>() + <span class='fu'><a href='https://ggplot2.tidyverse.org/reference/scale_viridis.html'>scale_fill_viridis_d</a></span>()
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='kw'>AMX</span>, <span class='kw'>NIT</span>, <span class='kw'>FOS</span>, <span class='kw'>TMP</span>, <span class='kw'>CIP</span>) <span class='op'>%&gt;%</span>
<span class='fu'>ggplot_rsi</span>() <span class='op'>+</span> <span class='fu'><a href='https://ggplot2.tidyverse.org/reference/scale_viridis.html'>scale_fill_viridis_d</a></span>()
<span class='co'># a shorter version which also adjusts data label colours:</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='no'>AMX</span>, <span class='no'>NIT</span>, <span class='no'>FOS</span>, <span class='no'>TMP</span>, <span class='no'>CIP</span>) <span class='kw'>%&gt;%</span>
<span class='fu'>ggplot_rsi</span>(<span class='kw'>colours</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='kw'>AMX</span>, <span class='kw'>NIT</span>, <span class='kw'>FOS</span>, <span class='kw'>TMP</span>, <span class='kw'>CIP</span>) <span class='op'>%&gt;%</span>
<span class='fu'>ggplot_rsi</span>(colours = <span class='fl'>FALSE</span>)
<span class='co'># it also supports groups (don't forget to use the group var on `x` or `facet`):</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='no'>hospital_id</span>, <span class='no'>AMX</span>, <span class='no'>NIT</span>, <span class='no'>FOS</span>, <span class='no'>TMP</span>, <span class='no'>CIP</span>) <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span>(<span class='no'>hospital_id</span>) <span class='kw'>%&gt;%</span>
<span class='fu'>ggplot_rsi</span>(<span class='kw'>x</span> <span class='kw'>=</span> <span class='st'>"hospital_id"</span>,
<span class='kw'>facet</span> <span class='kw'>=</span> <span class='st'>"antibiotic"</span>,
<span class='kw'>nrow</span> <span class='kw'>=</span> <span class='fl'>1</span>,
<span class='kw'>title</span> <span class='kw'>=</span> <span class='st'>"AMR of Anti-UTI Drugs Per Hospital"</span>,
<span class='kw'>x.title</span> <span class='kw'>=</span> <span class='st'>"Hospital"</span>,
<span class='kw'>datalabels</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='kw'>hospital_id</span>, <span class='kw'>AMX</span>, <span class='kw'>NIT</span>, <span class='kw'>FOS</span>, <span class='kw'>TMP</span>, <span class='kw'>CIP</span>) <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span>(<span class='kw'>hospital_id</span>) <span class='op'>%&gt;%</span>
<span class='fu'>ggplot_rsi</span>(x = <span class='st'>"hospital_id"</span>,
facet = <span class='st'>"antibiotic"</span>,
nrow = <span class='fl'>1</span>,
title = <span class='st'>"AMR of Anti-UTI Drugs Per Hospital"</span>,
x.title = <span class='st'>"Hospital"</span>,
datalabels = <span class='fl'>FALSE</span>)
}</pre>
</div>
<div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
@ -501,7 +501,7 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>maturing<
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

32
docs/reference/guess_ab_col.html
View File

@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -235,7 +235,7 @@
<p>This tries to find a column name in a data set based on information from the <a href='antibiotics.html'>antibiotics</a> data set. Also supports WHONET abbreviations.</p>
</div>
<pre class="usage"><span class='fu'>guess_ab_col</span>(<span class='kw'>x</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>search_string</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>verbose</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)</pre>
<pre class="usage"><span class='fu'>guess_ab_col</span>(x = <span class='kw'>NULL</span>, search_string = <span class='kw'>NULL</span>, verbose = <span class='fl'>FALSE</span>)</pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
<table class="ref-arguments">
@ -273,32 +273,32 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>maturing<
<p>On our website <a href='https://msberends.github.io/AMR'>https://msberends.github.io/AMR</a> you can find <a href='https://msberends.github.io/AMR/articles/AMR.html'>a comprehensive tutorial</a> about how to conduct AMR analysis, the <a href='https://msberends.github.io/AMR/reference'>complete documentation of all functions</a> (which reads a lot easier than here in R) and <a href='https://msberends.github.io/AMR/articles/WHONET.html'>an example analysis using WHONET data</a>. As we would like to better understand the backgrounds and needs of our users, please <a href='https://msberends.github.io/AMR/survey.html'>participate in our survey</a>!</p>
<h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
<pre class="examples"><span class='no'>df</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></span>(<span class='kw'>amox</span> <span class='kw'>=</span> <span class='st'>"S"</span>,
<span class='kw'>tetr</span> <span class='kw'>=</span> <span class='st'>"R"</span>)
<pre class="examples"><span class='kw'>df</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></span>(amox = <span class='st'>"S"</span>,
tetr = <span class='st'>"R"</span>)
<span class='fu'>guess_ab_col</span>(<span class='no'>df</span>, <span class='st'>"amoxicillin"</span>)
<span class='fu'>guess_ab_col</span>(<span class='kw'>df</span>, <span class='st'>"amoxicillin"</span>)
<span class='co'># [1] "amox"</span>
<span class='fu'>guess_ab_col</span>(<span class='no'>df</span>, <span class='st'>"J01AA07"</span>) <span class='co'># ATC code of tetracycline</span>
<span class='fu'>guess_ab_col</span>(<span class='kw'>df</span>, <span class='st'>"J01AA07"</span>) <span class='co'># ATC code of tetracycline</span>
<span class='co'># [1] "tetr"</span>
<span class='fu'>guess_ab_col</span>(<span class='no'>df</span>, <span class='st'>"J01AA07"</span>, <span class='kw'>verbose</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)
<span class='fu'>guess_ab_col</span>(<span class='kw'>df</span>, <span class='st'>"J01AA07"</span>, verbose = <span class='fl'>TRUE</span>)
<span class='co'># NOTE: Using column `tetr` as input for `J01AA07` (tetracycline).</span>
<span class='co'># [1] "tetr"</span>
<span class='co'># WHONET codes</span>
<span class='no'>df</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></span>(<span class='kw'>AMP_ND10</span> <span class='kw'>=</span> <span class='st'>"R"</span>,
<span class='kw'>AMC_ED20</span> <span class='kw'>=</span> <span class='st'>"S"</span>)
<span class='fu'>guess_ab_col</span>(<span class='no'>df</span>, <span class='st'>"ampicillin"</span>)
<span class='kw'>df</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></span>(AMP_ND10 = <span class='st'>"R"</span>,
AMC_ED20 = <span class='st'>"S"</span>)
<span class='fu'>guess_ab_col</span>(<span class='kw'>df</span>, <span class='st'>"ampicillin"</span>)
<span class='co'># [1] "AMP_ND10"</span>
<span class='fu'>guess_ab_col</span>(<span class='no'>df</span>, <span class='st'>"J01CR02"</span>)
<span class='fu'>guess_ab_col</span>(<span class='kw'>df</span>, <span class='st'>"J01CR02"</span>)
<span class='co'># [1] "AMC_ED20"</span>
<span class='fu'>guess_ab_col</span>(<span class='no'>df</span>, <span class='fu'><a href='as.ab.html'>as.ab</a></span>(<span class='st'>"augmentin"</span>))
<span class='fu'>guess_ab_col</span>(<span class='kw'>df</span>, <span class='fu'><a href='as.ab.html'>as.ab</a></span>(<span class='st'>"augmentin"</span>))
<span class='co'># [1] "AMC_ED20"</span>
<span class='co'># Longer names take precendence:</span>
<span class='no'>df</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></span>(<span class='kw'>AMP_ED2</span> <span class='kw'>=</span> <span class='st'>"S"</span>,
<span class='kw'>AMP_ED20</span> <span class='kw'>=</span> <span class='st'>"S"</span>)
<span class='fu'>guess_ab_col</span>(<span class='no'>df</span>, <span class='st'>"ampicillin"</span>)
<span class='kw'>df</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></span>(AMP_ED2 = <span class='st'>"S"</span>,
AMP_ED20 = <span class='st'>"S"</span>)
<span class='fu'>guess_ab_col</span>(<span class='kw'>df</span>, <span class='st'>"ampicillin"</span>)
<span class='co'># [1] "AMP_ED20"</span></pre>
</div>
<div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
@ -315,7 +315,7 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>maturing<
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

4
docs/reference/index.html
View File

@ -81,7 +81,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9000</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -633,7 +633,7 @@
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

42
docs/reference/join.html
View File

@ -6,7 +6,7 @@
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Join <a href='microorganisms.html'>microorganisms</a> to a data set — join • AMR (for R)</title>
<title>Join microorganisms to a data set — join • AMR (for R)</title>
<!-- favicons -->
<link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png">
@ -48,7 +48,7 @@
<link href="../extra.css" rel="stylesheet">
<script src="../extra.js"></script>
<meta property="og:title" content="Join <a href='microorganisms.html'>microorganisms</a> to a data set — join" />
<meta property="og:title" content="Join microorganisms to a data set — join" />
<meta property="og:description" content="Join the data set microorganisms easily to an existing table or character vector." />
<meta property="og:image" content="https://msberends.github.io/AMR/logo.svg" />
@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -235,17 +235,17 @@
<p>Join the data set <a href='microorganisms.html'>microorganisms</a> easily to an existing table or character vector.</p>
</div>
<pre class="usage"><span class='fu'>inner_join_microorganisms</span>(<span class='no'>x</span>, <span class='kw'>by</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>suffix</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"2"</span>, <span class='st'>""</span>), <span class='no'>...</span>)
<pre class="usage"><span class='fu'>inner_join_microorganisms</span>(<span class='kw'>x</span>, by = <span class='kw'>NULL</span>, suffix = <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"2"</span>, <span class='st'>""</span>), <span class='kw'>...</span>)
<span class='fu'>left_join_microorganisms</span>(<span class='no'>x</span>, <span class='kw'>by</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>suffix</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"2"</span>, <span class='st'>""</span>), <span class='no'>...</span>)
<span class='fu'>left_join_microorganisms</span>(<span class='kw'>x</span>, by = <span class='kw'>NULL</span>, suffix = <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"2"</span>, <span class='st'>""</span>), <span class='kw'>...</span>)
<span class='fu'>right_join_microorganisms</span>(<span class='no'>x</span>, <span class='kw'>by</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>suffix</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"2"</span>, <span class='st'>""</span>), <span class='no'>...</span>)
<span class='fu'>right_join_microorganisms</span>(<span class='kw'>x</span>, by = <span class='kw'>NULL</span>, suffix = <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"2"</span>, <span class='st'>""</span>), <span class='kw'>...</span>)
<span class='fu'>full_join_microorganisms</span>(<span class='no'>x</span>, <span class='kw'>by</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>suffix</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"2"</span>, <span class='st'>""</span>), <span class='no'>...</span>)
<span class='fu'>full_join_microorganisms</span>(<span class='kw'>x</span>, by = <span class='kw'>NULL</span>, suffix = <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"2"</span>, <span class='st'>""</span>), <span class='kw'>...</span>)
<span class='fu'>semi_join_microorganisms</span>(<span class='no'>x</span>, <span class='kw'>by</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='no'>...</span>)
<span class='fu'>semi_join_microorganisms</span>(<span class='kw'>x</span>, by = <span class='kw'>NULL</span>, <span class='kw'>...</span>)
<span class='fu'>anti_join_microorganisms</span>(<span class='no'>x</span>, <span class='kw'>by</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='no'>...</span>)</pre>
<span class='fu'>anti_join_microorganisms</span>(<span class='kw'>x</span>, by = <span class='kw'>NULL</span>, <span class='kw'>...</span>)</pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
<table class="ref-arguments">
@ -289,19 +289,19 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
<pre class="examples"><span class='fu'>left_join_microorganisms</span>(<span class='fu'><a href='as.mo.html'>as.mo</a></span>(<span class='st'>"K. pneumoniae"</span>))
<span class='fu'>left_join_microorganisms</span>(<span class='st'>"B_KLBSL_PNE"</span>)
<span class='kw'>if</span> (<span class='fl'>FALSE</span>) {
<span class='fu'><a href='https://rdrr.io/r/base/library.html'>library</a></span>(<span class='no'>dplyr</span>)
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span> <span class='fu'>left_join_microorganisms</span>()
<span class='co'>if</span> (<span class='fl'>FALSE</span>) {
<span class='fu'><a href='https://rdrr.io/r/base/library.html'>library</a></span>(<span class='kw'><a href='https://dplyr.tidyverse.org'>dplyr</a></span>)
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span> <span class='fu'>left_join_microorganisms</span>()
<span class='no'>df</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></span>(<span class='kw'>date</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/seq.html'>seq</a></span>(<span class='kw'>from</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/as.Date.html'>as.Date</a></span>(<span class='st'>"2018-01-01"</span>),
<span class='kw'>to</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/as.Date.html'>as.Date</a></span>(<span class='st'>"2018-01-07"</span>),
<span class='kw'>by</span> <span class='kw'>=</span> <span class='fl'>1</span>),
<span class='kw'>bacteria</span> <span class='kw'>=</span> <span class='fu'><a href='as.mo.html'>as.mo</a></span>(<span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"S. aureus"</span>, <span class='st'>"MRSA"</span>, <span class='st'>"MSSA"</span>, <span class='st'>"STAAUR"</span>,
<span class='kw'>df</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></span>(date = <span class='fu'><a href='https://rdrr.io/r/base/seq.html'>seq</a></span>(from = <span class='fu'><a href='https://rdrr.io/r/base/as.Date.html'>as.Date</a></span>(<span class='st'>"2018-01-01"</span>),
to = <span class='fu'><a href='https://rdrr.io/r/base/as.Date.html'>as.Date</a></span>(<span class='st'>"2018-01-07"</span>),
by = <span class='fl'>1</span>),
bacteria = <span class='fu'><a href='as.mo.html'>as.mo</a></span>(<span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"S. aureus"</span>, <span class='st'>"MRSA"</span>, <span class='st'>"MSSA"</span>, <span class='st'>"STAAUR"</span>,
<span class='st'>"E. coli"</span>, <span class='st'>"E. coli"</span>, <span class='st'>"E. coli"</span>)),
<span class='kw'>stringsAsFactors</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<span class='fu'><a href='https://rdrr.io/r/base/colnames.html'>colnames</a></span>(<span class='no'>df</span>)
<span class='no'>df_joined</span> <span class='kw'>&lt;-</span> <span class='fu'>left_join_microorganisms</span>(<span class='no'>df</span>, <span class='st'>"bacteria"</span>)
<span class='fu'><a href='https://rdrr.io/r/base/colnames.html'>colnames</a></span>(<span class='no'>df_joined</span>)
stringsAsFactors = <span class='fl'>FALSE</span>)
<span class='fu'><a href='https://rdrr.io/r/base/colnames.html'>colnames</a></span>(<span class='kw'>df</span>)
<span class='kw'>df_joined</span> <span class='op'>&lt;-</span> <span class='fu'>left_join_microorganisms</span>(<span class='kw'>df</span>, <span class='st'>"bacteria"</span>)
<span class='fu'><a href='https://rdrr.io/r/base/colnames.html'>colnames</a></span>(<span class='kw'>df_joined</span>)
}</pre>
</div>
<div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
@ -318,7 +318,7 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

88
docs/reference/key_antibiotics.html
View File

@ -6,7 +6,7 @@
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Key antibiotics for first <em>weighted</em> isolates — key_antibiotics • AMR (for R)</title>
<title>Key antibiotics for first weighted isolates — key_antibiotics • AMR (for R)</title>
<!-- favicons -->
<link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png">
@ -48,7 +48,7 @@
<link href="../extra.css" rel="stylesheet">
<script src="../extra.js"></script>
<meta property="og:title" content="Key antibiotics for first <em>weighted</em> isolates — key_antibiotics" />
<meta property="og:title" content="Key antibiotics for first weighted isolates — key_antibiotics" />
<meta property="og:description" content="These function can be used to determine first isolates (see first_isolate()). Using key antibiotics to determine first isolates is more reliable than without key antibiotics. These selected isolates will then be called first weighted isolates." />
<meta property="og:image" content="https://msberends.github.io/AMR/logo.svg" />
@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -236,37 +236,37 @@
</div>
<pre class="usage"><span class='fu'>key_antibiotics</span>(
<span class='no'>x</span>,
<span class='kw'>col_mo</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>universal_1</span> <span class='kw'>=</span> <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span>(<span class='no'>x</span>, <span class='st'>"amoxicillin"</span>),
<span class='kw'>universal_2</span> <span class='kw'>=</span> <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span>(<span class='no'>x</span>, <span class='st'>"amoxicillin/clavulanic acid"</span>),
<span class='kw'>universal_3</span> <span class='kw'>=</span> <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span>(<span class='no'>x</span>, <span class='st'>"cefuroxime"</span>),
<span class='kw'>universal_4</span> <span class='kw'>=</span> <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span>(<span class='no'>x</span>, <span class='st'>"piperacillin/tazobactam"</span>),
<span class='kw'>universal_5</span> <span class='kw'>=</span> <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span>(<span class='no'>x</span>, <span class='st'>"ciprofloxacin"</span>),
<span class='kw'>universal_6</span> <span class='kw'>=</span> <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span>(<span class='no'>x</span>, <span class='st'>"trimethoprim/sulfamethoxazole"</span>),
<span class='kw'>GramPos_1</span> <span class='kw'>=</span> <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span>(<span class='no'>x</span>, <span class='st'>"vancomycin"</span>),
<span class='kw'>GramPos_2</span> <span class='kw'>=</span> <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span>(<span class='no'>x</span>, <span class='st'>"teicoplanin"</span>),
<span class='kw'>GramPos_3</span> <span class='kw'>=</span> <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span>(<span class='no'>x</span>, <span class='st'>"tetracycline"</span>),
<span class='kw'>GramPos_4</span> <span class='kw'>=</span> <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span>(<span class='no'>x</span>, <span class='st'>"erythromycin"</span>),
<span class='kw'>GramPos_5</span> <span class='kw'>=</span> <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span>(<span class='no'>x</span>, <span class='st'>"oxacillin"</span>),
<span class='kw'>GramPos_6</span> <span class='kw'>=</span> <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span>(<span class='no'>x</span>, <span class='st'>"rifampin"</span>),
<span class='kw'>GramNeg_1</span> <span class='kw'>=</span> <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span>(<span class='no'>x</span>, <span class='st'>"gentamicin"</span>),
<span class='kw'>GramNeg_2</span> <span class='kw'>=</span> <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span>(<span class='no'>x</span>, <span class='st'>"tobramycin"</span>),
<span class='kw'>GramNeg_3</span> <span class='kw'>=</span> <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span>(<span class='no'>x</span>, <span class='st'>"colistin"</span>),
<span class='kw'>GramNeg_4</span> <span class='kw'>=</span> <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span>(<span class='no'>x</span>, <span class='st'>"cefotaxime"</span>),
<span class='kw'>GramNeg_5</span> <span class='kw'>=</span> <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span>(<span class='no'>x</span>, <span class='st'>"ceftazidime"</span>),
<span class='kw'>GramNeg_6</span> <span class='kw'>=</span> <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span>(<span class='no'>x</span>, <span class='st'>"meropenem"</span>),
<span class='kw'>warnings</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>,
<span class='no'>...</span>
<span class='kw'>x</span>,
col_mo = <span class='kw'>NULL</span>,
universal_1 = <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span>(<span class='kw'>x</span>, <span class='st'>"amoxicillin"</span>),
universal_2 = <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span>(<span class='kw'>x</span>, <span class='st'>"amoxicillin/clavulanic acid"</span>),
universal_3 = <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span>(<span class='kw'>x</span>, <span class='st'>"cefuroxime"</span>),
universal_4 = <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span>(<span class='kw'>x</span>, <span class='st'>"piperacillin/tazobactam"</span>),
universal_5 = <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span>(<span class='kw'>x</span>, <span class='st'>"ciprofloxacin"</span>),
universal_6 = <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span>(<span class='kw'>x</span>, <span class='st'>"trimethoprim/sulfamethoxazole"</span>),
GramPos_1 = <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span>(<span class='kw'>x</span>, <span class='st'>"vancomycin"</span>),
GramPos_2 = <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span>(<span class='kw'>x</span>, <span class='st'>"teicoplanin"</span>),
GramPos_3 = <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span>(<span class='kw'>x</span>, <span class='st'>"tetracycline"</span>),
GramPos_4 = <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span>(<span class='kw'>x</span>, <span class='st'>"erythromycin"</span>),
GramPos_5 = <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span>(<span class='kw'>x</span>, <span class='st'>"oxacillin"</span>),
GramPos_6 = <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span>(<span class='kw'>x</span>, <span class='st'>"rifampin"</span>),
GramNeg_1 = <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span>(<span class='kw'>x</span>, <span class='st'>"gentamicin"</span>),
GramNeg_2 = <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span>(<span class='kw'>x</span>, <span class='st'>"tobramycin"</span>),
GramNeg_3 = <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span>(<span class='kw'>x</span>, <span class='st'>"colistin"</span>),
GramNeg_4 = <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span>(<span class='kw'>x</span>, <span class='st'>"cefotaxime"</span>),
GramNeg_5 = <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span>(<span class='kw'>x</span>, <span class='st'>"ceftazidime"</span>),
GramNeg_6 = <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span>(<span class='kw'>x</span>, <span class='st'>"meropenem"</span>),
warnings = <span class='fl'>TRUE</span>,
<span class='kw'>...</span>
)
<span class='fu'>key_antibiotics_equal</span>(
<span class='no'>y</span>,
<span class='no'>z</span>,
<span class='kw'>type</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"keyantibiotics"</span>, <span class='st'>"points"</span>),
<span class='kw'>ignore_I</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>,
<span class='kw'>points_threshold</span> <span class='kw'>=</span> <span class='fl'>2</span>,
<span class='kw'>info</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>
<span class='kw'>y</span>,
<span class='kw'>z</span>,
type = <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"keyantibiotics"</span>, <span class='st'>"points"</span>),
ignore_I = <span class='fl'>TRUE</span>,
points_threshold = <span class='fl'>2</span>,
info = <span class='fl'>FALSE</span>
)</pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
@ -388,31 +388,31 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
<pre class="examples"><span class='co'># `example_isolates` is a dataset available in the AMR package.</span>
<span class='co'># See ?example_isolates.</span>
<span class='kw'>if</span> (<span class='fl'>FALSE</span>) {
<span class='fu'><a href='https://rdrr.io/r/base/library.html'>library</a></span>(<span class='no'>dplyr</span>)
<span class='co'>if</span> (<span class='fl'>FALSE</span>) {
<span class='fu'><a href='https://rdrr.io/r/base/library.html'>library</a></span>(<span class='kw'><a href='https://dplyr.tidyverse.org'>dplyr</a></span>)
<span class='co'># set key antibiotics to a new variable</span>
<span class='no'>my_patients</span> <span class='kw'>&lt;-</span> <span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span>(<span class='kw'>keyab</span> <span class='kw'>=</span> <span class='fu'>key_antibiotics</span>(<span class='no'>.</span>)) <span class='kw'>%&gt;%</span>
<span class='kw'>my_patients</span> <span class='op'>&lt;-</span> <span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span>(keyab = <span class='fu'>key_antibiotics</span>(<span class='kw'>.</span>)) <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span>(
<span class='co'># now calculate first isolates</span>
<span class='kw'>first_regular</span> <span class='kw'>=</span> <span class='fu'><a href='first_isolate.html'>first_isolate</a></span>(<span class='no'>.</span>, <span class='kw'>col_keyantibiotics</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>),
first_regular = <span class='fu'><a href='first_isolate.html'>first_isolate</a></span>(<span class='kw'>.</span>, col_keyantibiotics = <span class='fl'>FALSE</span>),
<span class='co'># and first WEIGHTED isolates</span>
<span class='kw'>first_weighted</span> <span class='kw'>=</span> <span class='fu'><a href='first_isolate.html'>first_isolate</a></span>(<span class='no'>.</span>, <span class='kw'>col_keyantibiotics</span> <span class='kw'>=</span> <span class='st'>"keyab"</span>)
first_weighted = <span class='fu'><a href='first_isolate.html'>first_isolate</a></span>(<span class='kw'>.</span>, col_keyantibiotics = <span class='st'>"keyab"</span>)
)
<span class='co'># Check the difference, in this data set it results in 7% more isolates:</span>
<span class='fu'><a href='https://rdrr.io/r/base/sum.html'>sum</a></span>(<span class='no'>my_patients</span>$<span class='no'>first_regular</span>, <span class='kw'>na.rm</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)
<span class='fu'><a href='https://rdrr.io/r/base/sum.html'>sum</a></span>(<span class='no'>my_patients</span>$<span class='no'>first_weighted</span>, <span class='kw'>na.rm</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)
<span class='fu'><a href='https://rdrr.io/r/base/sum.html'>sum</a></span>(<span class='kw'>my_patients</span><span class='op'>$</span><span class='kw'>first_regular</span>, na.rm = <span class='fl'>TRUE</span>)
<span class='fu'><a href='https://rdrr.io/r/base/sum.html'>sum</a></span>(<span class='kw'>my_patients</span><span class='op'>$</span><span class='kw'>first_weighted</span>, na.rm = <span class='fl'>TRUE</span>)
}
<span class='co'># output of the `key_antibiotics` function could be like this:</span>
<span class='no'>strainA</span> <span class='kw'>&lt;-</span> <span class='st'>"SSSRR.S.R..S"</span>
<span class='no'>strainB</span> <span class='kw'>&lt;-</span> <span class='st'>"SSSIRSSSRSSS"</span>
<span class='kw'>strainA</span> <span class='op'>&lt;-</span> <span class='st'>"SSSRR.S.R..S"</span>
<span class='kw'>strainB</span> <span class='op'>&lt;-</span> <span class='st'>"SSSIRSSSRSSS"</span>
<span class='fu'>key_antibiotics_equal</span>(<span class='no'>strainA</span>, <span class='no'>strainB</span>)
<span class='fu'>key_antibiotics_equal</span>(<span class='kw'>strainA</span>, <span class='kw'>strainB</span>)
<span class='co'># TRUE, because I is ignored (as well as missing values)</span>
<span class='fu'>key_antibiotics_equal</span>(<span class='no'>strainA</span>, <span class='no'>strainB</span>, <span class='kw'>ignore_I</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<span class='fu'>key_antibiotics_equal</span>(<span class='kw'>strainA</span>, <span class='kw'>strainB</span>, ignore_I = <span class='fl'>FALSE</span>)
<span class='co'># FALSE, because I is not ignored and so the 4th value differs</span></pre>
</div>
<div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
@ -429,7 +429,7 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
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12
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@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -235,16 +235,16 @@
<p>Kurtosis is a measure of the "tailedness" of the probability distribution of a real-valued random variable.</p>
</div>
<pre class="usage"><span class='fu'>kurtosis</span>(<span class='no'>x</span>, <span class='kw'>na.rm</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<pre class="usage"><span class='fu'>kurtosis</span>(<span class='kw'>x</span>, na.rm = <span class='fl'>FALSE</span>)
<span class='co'># S3 method for default</span>
<span class='fu'>kurtosis</span>(<span class='no'>x</span>, <span class='kw'>na.rm</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<span class='fu'>kurtosis</span>(<span class='kw'>x</span>, na.rm = <span class='fl'>FALSE</span>)
<span class='co'># S3 method for matrix</span>
<span class='fu'>kurtosis</span>(<span class='no'>x</span>, <span class='kw'>na.rm</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<span class='fu'>kurtosis</span>(<span class='kw'>x</span>, na.rm = <span class='fl'>FALSE</span>)
<span class='co'># S3 method for data.frame</span>
<span class='fu'>kurtosis</span>(<span class='no'>x</span>, <span class='kw'>na.rm</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)</pre>
<span class='fu'>kurtosis</span>(<span class='kw'>x</span>, na.rm = <span class='fl'>FALSE</span>)</pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
<table class="ref-arguments">
@ -289,7 +289,7 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>questioni
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

8
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View File

@ -6,7 +6,7 @@
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Lifecycles of functions in the <code>AMR</code> package — lifecycle • AMR (for R)</title>
<title>Lifecycles of functions in the AMR package — lifecycle • AMR (for R)</title>
<!-- favicons -->
<link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png">
@ -48,7 +48,7 @@
<link href="../extra.css" rel="stylesheet">
<script src="../extra.js"></script>
<meta property="og:title" content="Lifecycles of functions in the <code>AMR</code> package — lifecycle" />
<meta property="og:title" content="Lifecycles of functions in the AMR package — lifecycle" />
<meta property="og:description" content="Functions in this AMR package are categorised using the lifecycle circle of the Tidyverse as found on www.tidyverse.org/lifecycle.
This page contains a section for every lifecycle (with text borrowed from the aforementioned Tidyverse website), so they can be used in the manual pages of the functions." />
@ -84,7 +84,7 @@ This page contains a section for every lifecycle (with text borrowed from the af
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -288,7 +288,7 @@ The lifecycle of this function is <strong>questioning</strong>. This function mi
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
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</footer>

32
docs/reference/like.html
View File

@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -235,11 +235,11 @@
<p>Convenient wrapper around <code><a href='https://rdrr.io/r/base/grep.html'>grep()</a></code> to match a pattern: <code>x %like% pattern</code>. It always returns a <code><a href='https://rdrr.io/r/base/logical.html'>logical</a></code> vector and is always case-insensitive (use <code>x %like_case% pattern</code> for case-sensitive matching). Also, <code>pattern</code> can be as long as <code>x</code> to compare items of each index in both vectors, or they both can have the same length to iterate over all cases.</p>
</div>
<pre class="usage"><span class='fu'>like</span>(<span class='no'>x</span>, <span class='no'>pattern</span>, <span class='kw'>ignore.case</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)
<pre class="usage"><span class='fu'>like</span>(<span class='kw'>x</span>, <span class='kw'>pattern</span>, ignore.case = <span class='fl'>TRUE</span>)
<span class='no'>x</span> <span class='kw'>%like%</span> <span class='no'>pattern</span>
<span class='kw'>x</span> <span class='op'>%like%</span> <span class='kw'>pattern</span>
<span class='no'>x</span> <span class='kw'>%like_case%</span> <span class='no'>pattern</span></pre>
<span class='kw'>x</span> <span class='op'>%like_case%</span> <span class='kw'>pattern</span></pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
<table class="ref-arguments">
@ -292,24 +292,24 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
<h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
<pre class="examples"><span class='co'># simple test</span>
<span class='no'>a</span> <span class='kw'>&lt;-</span> <span class='st'>"This is a test"</span>
<span class='no'>b</span> <span class='kw'>&lt;-</span> <span class='st'>"TEST"</span>
<span class='no'>a</span> <span class='kw'>%like%</span> <span class='no'>b</span>
<span class='kw'>a</span> <span class='op'>&lt;-</span> <span class='st'>"This is a test"</span>
<span class='kw'>b</span> <span class='op'>&lt;-</span> <span class='st'>"TEST"</span>
<span class='kw'>a</span> <span class='op'>%like%</span> <span class='kw'>b</span>
<span class='co'>#&gt; TRUE</span>
<span class='no'>b</span> <span class='kw'>%like%</span> <span class='no'>a</span>
<span class='kw'>b</span> <span class='op'>%like%</span> <span class='kw'>a</span>
<span class='co'>#&gt; FALSE</span>
<span class='co'># also supports multiple patterns, length must be equal to x</span>
<span class='no'>a</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"Test case"</span>, <span class='st'>"Something different"</span>, <span class='st'>"Yet another thing"</span>)
<span class='no'>b</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>( <span class='st'>"case"</span>, <span class='st'>"diff"</span>, <span class='st'>"yet"</span>)
<span class='no'>a</span> <span class='kw'>%like%</span> <span class='no'>b</span>
<span class='kw'>a</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"Test case"</span>, <span class='st'>"Something different"</span>, <span class='st'>"Yet another thing"</span>)
<span class='kw'>b</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>( <span class='st'>"case"</span>, <span class='st'>"diff"</span>, <span class='st'>"yet"</span>)
<span class='kw'>a</span> <span class='op'>%like%</span> <span class='kw'>b</span>
<span class='co'>#&gt; TRUE TRUE TRUE</span>
<span class='co'># get isolates whose name start with 'Ent' or 'ent'</span>
<span class='kw'>if</span> (<span class='fl'>FALSE</span>) {
<span class='fu'><a href='https://rdrr.io/r/base/library.html'>library</a></span>(<span class='no'>dplyr</span>)
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span>(<span class='fu'><a href='mo_property.html'>mo_name</a></span>(<span class='no'>mo</span>) <span class='kw'>%like%</span> <span class='st'>"^ent"</span>)
<span class='co'>if</span> (<span class='fl'>FALSE</span>) {
<span class='fu'><a href='https://rdrr.io/r/base/library.html'>library</a></span>(<span class='kw'><a href='https://dplyr.tidyverse.org'>dplyr</a></span>)
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span>(<span class='fu'><a href='mo_property.html'>mo_name</a></span>(<span class='kw'>mo</span>) <span class='op'>%like%</span> <span class='st'>"^ent"</span>)
}</pre>
</div>
<div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
@ -326,7 +326,7 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
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50
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@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -236,25 +236,25 @@
</div>
<pre class="usage"><span class='fu'>mdro</span>(
<span class='no'>x</span>,
<span class='kw'>guideline</span> <span class='kw'>=</span> <span class='st'>"CMI2012"</span>,
<span class='kw'>col_mo</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>info</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/interactive.html'>interactive</a></span>(),
<span class='kw'>pct_required_classes</span> <span class='kw'>=</span> <span class='fl'>0.5</span>,
<span class='kw'>combine_SI</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>,
<span class='kw'>verbose</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>,
<span class='no'>...</span>
<span class='kw'>x</span>,
guideline = <span class='st'>"CMI2012"</span>,
col_mo = <span class='kw'>NULL</span>,
info = <span class='fu'><a href='https://rdrr.io/r/base/interactive.html'>interactive</a></span>(),
pct_required_classes = <span class='fl'>0.5</span>,
combine_SI = <span class='fl'>TRUE</span>,
verbose = <span class='fl'>FALSE</span>,
<span class='kw'>...</span>
)
<span class='fu'>brmo</span>(<span class='no'>x</span>, <span class='kw'>guideline</span> <span class='kw'>=</span> <span class='st'>"BRMO"</span>, <span class='no'>...</span>)
<span class='fu'>brmo</span>(<span class='kw'>x</span>, guideline = <span class='st'>"BRMO"</span>, <span class='kw'>...</span>)
<span class='fu'>mrgn</span>(<span class='no'>x</span>, <span class='kw'>guideline</span> <span class='kw'>=</span> <span class='st'>"MRGN"</span>, <span class='no'>...</span>)
<span class='fu'>mrgn</span>(<span class='kw'>x</span>, guideline = <span class='st'>"MRGN"</span>, <span class='kw'>...</span>)
<span class='fu'>mdr_tb</span>(<span class='no'>x</span>, <span class='kw'>guideline</span> <span class='kw'>=</span> <span class='st'>"TB"</span>, <span class='no'>...</span>)
<span class='fu'>mdr_tb</span>(<span class='kw'>x</span>, guideline = <span class='st'>"TB"</span>, <span class='kw'>...</span>)
<span class='fu'>mdr_cmi2012</span>(<span class='no'>x</span>, <span class='kw'>guideline</span> <span class='kw'>=</span> <span class='st'>"CMI2012"</span>, <span class='no'>...</span>)
<span class='fu'>mdr_cmi2012</span>(<span class='kw'>x</span>, guideline = <span class='st'>"CMI2012"</span>, <span class='kw'>...</span>)
<span class='fu'>eucast_exceptional_phenotypes</span>(<span class='no'>x</span>, <span class='kw'>guideline</span> <span class='kw'>=</span> <span class='st'>"EUCAST"</span>, <span class='no'>...</span>)</pre>
<span class='fu'>eucast_exceptional_phenotypes</span>(<span class='kw'>x</span>, guideline = <span class='st'>"EUCAST"</span>, <span class='kw'>...</span>)</pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
<table class="ref-arguments">
@ -440,18 +440,18 @@ A microorganism is categorised as <em>Susceptible, Increased exposure</em> when
<p>On our website <a href='https://msberends.github.io/AMR'>https://msberends.github.io/AMR</a> you can find <a href='https://msberends.github.io/AMR/articles/AMR.html'>a comprehensive tutorial</a> about how to conduct AMR analysis, the <a href='https://msberends.github.io/AMR/reference'>complete documentation of all functions</a> (which reads a lot easier than here in R) and <a href='https://msberends.github.io/AMR/articles/WHONET.html'>an example analysis using WHONET data</a>. As we would like to better understand the backgrounds and needs of our users, please <a href='https://msberends.github.io/AMR/survey.html'>participate in our survey</a>!</p>
<h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
<pre class="examples"><span class='kw'>if</span> (<span class='fl'>FALSE</span>) {
<span class='fu'><a href='https://rdrr.io/r/base/library.html'>library</a></span>(<span class='no'>dplyr</span>)
<span class='fu'><a href='https://rdrr.io/r/base/library.html'>library</a></span>(<span class='no'>cleaner</span>)
<pre class="examples"><span class='co'>if</span> (<span class='fl'>FALSE</span>) {
<span class='fu'><a href='https://rdrr.io/r/base/library.html'>library</a></span>(<span class='kw'><a href='https://dplyr.tidyverse.org'>dplyr</a></span>)
<span class='fu'><a href='https://rdrr.io/r/base/library.html'>library</a></span>(<span class='kw'><a href='https://github.com/msberends/cleaner'>cleaner</a></span>)
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'>mdro</span>() <span class='kw'>%&gt;%</span>
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'>mdro</span>() <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://rdrr.io/pkg/cleaner/man/freq.html'>freq</a></span>()
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span>(<span class='kw'>EUCAST</span> <span class='kw'>=</span> <span class='fu'>eucast_exceptional_phenotypes</span>(<span class='no'>.</span>),
<span class='kw'>BRMO</span> <span class='kw'>=</span> <span class='fu'>brmo</span>(<span class='no'>.</span>),
<span class='kw'>MRGN</span> <span class='kw'>=</span> <span class='fu'>mrgn</span>(<span class='no'>.</span>))
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span>(EUCAST = <span class='fu'>eucast_exceptional_phenotypes</span>(<span class='kw'>.</span>),
BRMO = <span class='fu'>brmo</span>(<span class='kw'>.</span>),
MRGN = <span class='fu'>mrgn</span>(<span class='kw'>.</span>))
}</pre>
</div>
<div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
@ -468,7 +468,7 @@ A microorganism is categorised as <em>Susceptible, Increased exposure</em> when
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

6
docs/reference/microorganisms.codes.html
View File

@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -235,7 +235,7 @@
<p>A data set containing commonly used codes for microorganisms, from laboratory systems and WHONET. Define your own with <code><a href='mo_source.html'>set_mo_source()</a></code>. They will all be searched when using <code><a href='as.mo.html'>as.mo()</a></code> and consequently all the <code><a href='mo_property.html'>mo_*</a></code> functions.</p>
</div>
<pre class="usage"><span class='no'>microorganisms.codes</span></pre>
<pre class="usage"><span class='kw'>microorganisms.codes</span></pre>
<h2 class="hasAnchor" id="format"><a class="anchor" href="#format"></a>Format</h2>
@ -276,7 +276,7 @@ This package contains the complete taxonomic tree of almost all microorganisms (
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

6
docs/reference/microorganisms.html
View File

@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -235,7 +235,7 @@
<p>A data set containing the microbial taxonomy of six kingdoms from the Catalogue of Life. MO codes can be looked up using <code><a href='as.mo.html'>as.mo()</a></code>.</p>
</div>
<pre class="usage"><span class='no'>microorganisms</span></pre>
<pre class="usage"><span class='kw'>microorganisms</span></pre>
<h2 class="hasAnchor" id="format"><a class="anchor" href="#format"></a>Format</h2>
@ -319,7 +319,7 @@ This package contains the complete taxonomic tree of almost all microorganisms (
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

6
docs/reference/microorganisms.old.html
View File

@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -235,7 +235,7 @@
<p>A data set containing old (previously valid or accepted) taxonomic names according to the Catalogue of Life. This data set is used internally by <code><a href='as.mo.html'>as.mo()</a></code>.</p>
</div>
<pre class="usage"><span class='no'>microorganisms.old</span></pre>
<pre class="usage"><span class='kw'>microorganisms.old</span></pre>
<h2 class="hasAnchor" id="format"><a class="anchor" href="#format"></a>Format</h2>
@ -282,7 +282,7 @@ This package contains the complete taxonomic tree of almost all microorganisms (
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

74
docs/reference/mo_property.html
View File

@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -235,53 +235,53 @@
<p>Use these functions to return a specific property of a microorganism. All input values will be evaluated internally with <code><a href='as.mo.html'>as.mo()</a></code>, which makes it possible to use microbial abbreviations, codes and names as input. Please see <em>Examples</em>.</p>
</div>
<pre class="usage"><span class='fu'>mo_name</span>(<span class='no'>x</span>, <span class='kw'>language</span> <span class='kw'>=</span> <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='no'>...</span>)
<pre class="usage"><span class='fu'>mo_name</span>(<span class='kw'>x</span>, language = <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='kw'>...</span>)
<span class='fu'>mo_fullname</span>(<span class='no'>x</span>, <span class='kw'>language</span> <span class='kw'>=</span> <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='no'>...</span>)
<span class='fu'>mo_fullname</span>(<span class='kw'>x</span>, language = <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='kw'>...</span>)
<span class='fu'>mo_shortname</span>(<span class='no'>x</span>, <span class='kw'>language</span> <span class='kw'>=</span> <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='no'>...</span>)
<span class='fu'>mo_shortname</span>(<span class='kw'>x</span>, language = <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='kw'>...</span>)
<span class='fu'>mo_subspecies</span>(<span class='no'>x</span>, <span class='kw'>language</span> <span class='kw'>=</span> <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='no'>...</span>)
<span class='fu'>mo_subspecies</span>(<span class='kw'>x</span>, language = <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='kw'>...</span>)
<span class='fu'>mo_species</span>(<span class='no'>x</span>, <span class='kw'>language</span> <span class='kw'>=</span> <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='no'>...</span>)
<span class='fu'>mo_species</span>(<span class='kw'>x</span>, language = <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='kw'>...</span>)
<span class='fu'>mo_genus</span>(<span class='no'>x</span>, <span class='kw'>language</span> <span class='kw'>=</span> <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='no'>...</span>)
<span class='fu'>mo_genus</span>(<span class='kw'>x</span>, language = <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='kw'>...</span>)
<span class='fu'>mo_family</span>(<span class='no'>x</span>, <span class='kw'>language</span> <span class='kw'>=</span> <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='no'>...</span>)
<span class='fu'>mo_family</span>(<span class='kw'>x</span>, language = <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='kw'>...</span>)
<span class='fu'>mo_order</span>(<span class='no'>x</span>, <span class='kw'>language</span> <span class='kw'>=</span> <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='no'>...</span>)
<span class='fu'>mo_order</span>(<span class='kw'>x</span>, language = <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='kw'>...</span>)
<span class='fu'>mo_class</span>(<span class='no'>x</span>, <span class='kw'>language</span> <span class='kw'>=</span> <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='no'>...</span>)
<span class='fu'>mo_class</span>(<span class='kw'>x</span>, language = <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='kw'>...</span>)
<span class='fu'>mo_phylum</span>(<span class='no'>x</span>, <span class='kw'>language</span> <span class='kw'>=</span> <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='no'>...</span>)
<span class='fu'>mo_phylum</span>(<span class='kw'>x</span>, language = <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='kw'>...</span>)
<span class='fu'>mo_kingdom</span>(<span class='no'>x</span>, <span class='kw'>language</span> <span class='kw'>=</span> <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='no'>...</span>)
<span class='fu'>mo_kingdom</span>(<span class='kw'>x</span>, language = <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='kw'>...</span>)
<span class='fu'>mo_domain</span>(<span class='no'>x</span>, <span class='kw'>language</span> <span class='kw'>=</span> <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='no'>...</span>)
<span class='fu'>mo_domain</span>(<span class='kw'>x</span>, language = <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='kw'>...</span>)
<span class='fu'>mo_type</span>(<span class='no'>x</span>, <span class='kw'>language</span> <span class='kw'>=</span> <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='no'>...</span>)
<span class='fu'>mo_type</span>(<span class='kw'>x</span>, language = <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='kw'>...</span>)
<span class='fu'>mo_gramstain</span>(<span class='no'>x</span>, <span class='kw'>language</span> <span class='kw'>=</span> <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='no'>...</span>)
<span class='fu'>mo_gramstain</span>(<span class='kw'>x</span>, language = <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='kw'>...</span>)
<span class='fu'>mo_snomed</span>(<span class='no'>x</span>, <span class='no'>...</span>)
<span class='fu'>mo_snomed</span>(<span class='kw'>x</span>, <span class='kw'>...</span>)
<span class='fu'>mo_ref</span>(<span class='no'>x</span>, <span class='no'>...</span>)
<span class='fu'>mo_ref</span>(<span class='kw'>x</span>, <span class='kw'>...</span>)
<span class='fu'>mo_authors</span>(<span class='no'>x</span>, <span class='no'>...</span>)
<span class='fu'>mo_authors</span>(<span class='kw'>x</span>, <span class='kw'>...</span>)
<span class='fu'>mo_year</span>(<span class='no'>x</span>, <span class='no'>...</span>)
<span class='fu'>mo_year</span>(<span class='kw'>x</span>, <span class='kw'>...</span>)
<span class='fu'>mo_rank</span>(<span class='no'>x</span>, <span class='no'>...</span>)
<span class='fu'>mo_rank</span>(<span class='kw'>x</span>, <span class='kw'>...</span>)
<span class='fu'>mo_taxonomy</span>(<span class='no'>x</span>, <span class='kw'>language</span> <span class='kw'>=</span> <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='no'>...</span>)
<span class='fu'>mo_taxonomy</span>(<span class='kw'>x</span>, language = <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='kw'>...</span>)
<span class='fu'>mo_synonyms</span>(<span class='no'>x</span>, <span class='no'>...</span>)
<span class='fu'>mo_synonyms</span>(<span class='kw'>x</span>, <span class='kw'>...</span>)
<span class='fu'>mo_info</span>(<span class='no'>x</span>, <span class='kw'>language</span> <span class='kw'>=</span> <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='no'>...</span>)
<span class='fu'>mo_info</span>(<span class='kw'>x</span>, language = <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='kw'>...</span>)
<span class='fu'>mo_url</span>(<span class='no'>x</span>, <span class='kw'>open</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='no'>...</span>)
<span class='fu'>mo_url</span>(<span class='kw'>x</span>, open = <span class='fl'>FALSE</span>, <span class='kw'>...</span>)
<span class='fu'>mo_property</span>(<span class='no'>x</span>, <span class='kw'>property</span> <span class='kw'>=</span> <span class='st'>"fullname"</span>, <span class='kw'>language</span> <span class='kw'>=</span> <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='no'>...</span>)</pre>
<span class='fu'>mo_property</span>(<span class='kw'>x</span>, property = <span class='st'>"fullname"</span>, language = <span class='fu'><a href='translate.html'>get_locale</a></span>(), <span class='kw'>...</span>)</pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
<table class="ref-arguments">
@ -416,21 +416,21 @@ This package contains the complete taxonomic tree of almost all microorganisms (
<span class='co'># \donttest{</span>
<span class='co'># Becker classification, see ?as.mo ----------------------------------------</span>
<span class='fu'>mo_fullname</span>(<span class='st'>"S. epi"</span>) <span class='co'># "Staphylococcus epidermidis"</span>
<span class='fu'>mo_fullname</span>(<span class='st'>"S. epi"</span>, <span class='kw'>Becker</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) <span class='co'># "Coagulase-negative Staphylococcus (CoNS)"</span>
<span class='fu'>mo_fullname</span>(<span class='st'>"S. epi"</span>, Becker = <span class='fl'>TRUE</span>) <span class='co'># "Coagulase-negative Staphylococcus (CoNS)"</span>
<span class='fu'>mo_shortname</span>(<span class='st'>"S. epi"</span>) <span class='co'># "S. epidermidis"</span>
<span class='fu'>mo_shortname</span>(<span class='st'>"S. epi"</span>, <span class='kw'>Becker</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) <span class='co'># "CoNS"</span>
<span class='fu'>mo_shortname</span>(<span class='st'>"S. epi"</span>, Becker = <span class='fl'>TRUE</span>) <span class='co'># "CoNS"</span>
<span class='co'># Lancefield classification, see ?as.mo ------------------------------------</span>
<span class='fu'>mo_fullname</span>(<span class='st'>"S. pyo"</span>) <span class='co'># "Streptococcus pyogenes"</span>
<span class='fu'>mo_fullname</span>(<span class='st'>"S. pyo"</span>, <span class='kw'>Lancefield</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) <span class='co'># "Streptococcus group A"</span>
<span class='fu'>mo_fullname</span>(<span class='st'>"S. pyo"</span>, Lancefield = <span class='fl'>TRUE</span>) <span class='co'># "Streptococcus group A"</span>
<span class='fu'>mo_shortname</span>(<span class='st'>"S. pyo"</span>) <span class='co'># "S. pyogenes"</span>
<span class='fu'>mo_shortname</span>(<span class='st'>"S. pyo"</span>, <span class='kw'>Lancefield</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) <span class='co'># "GAS" (='Group A Streptococci')</span>
<span class='fu'>mo_shortname</span>(<span class='st'>"S. pyo"</span>, Lancefield = <span class='fl'>TRUE</span>) <span class='co'># "GAS" (='Group A Streptococci')</span>
<span class='co'># language support for German, Dutch, Spanish, Portuguese, Italian and French</span>
<span class='fu'>mo_gramstain</span>(<span class='st'>"E. coli"</span>, <span class='kw'>language</span> <span class='kw'>=</span> <span class='st'>"de"</span>) <span class='co'># "Gramnegativ"</span>
<span class='fu'>mo_gramstain</span>(<span class='st'>"E. coli"</span>, <span class='kw'>language</span> <span class='kw'>=</span> <span class='st'>"nl"</span>) <span class='co'># "Gram-negatief"</span>
<span class='fu'>mo_gramstain</span>(<span class='st'>"E. coli"</span>, <span class='kw'>language</span> <span class='kw'>=</span> <span class='st'>"es"</span>) <span class='co'># "Gram negativo"</span>
<span class='fu'>mo_gramstain</span>(<span class='st'>"E. coli"</span>, language = <span class='st'>"de"</span>) <span class='co'># "Gramnegativ"</span>
<span class='fu'>mo_gramstain</span>(<span class='st'>"E. coli"</span>, language = <span class='st'>"nl"</span>) <span class='co'># "Gram-negatief"</span>
<span class='fu'>mo_gramstain</span>(<span class='st'>"E. coli"</span>, language = <span class='st'>"es"</span>) <span class='co'># "Gram negativo"</span>
<span class='co'># mo_type is equal to mo_kingdom, but mo_kingdom will remain official</span>
<span class='fu'>mo_kingdom</span>(<span class='st'>"E. coli"</span>) <span class='co'># "Bacteria" on a German system</span>
@ -438,11 +438,11 @@ This package contains the complete taxonomic tree of almost all microorganisms (
<span class='fu'>mo_type</span>(<span class='st'>"E. coli"</span>) <span class='co'># "Bacteria" on an English system</span>
<span class='fu'>mo_fullname</span>(<span class='st'>"S. pyogenes"</span>,
<span class='kw'>Lancefield</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>,
<span class='kw'>language</span> <span class='kw'>=</span> <span class='st'>"de"</span>) <span class='co'># "Streptococcus Gruppe A"</span>
Lancefield = <span class='fl'>TRUE</span>,
language = <span class='st'>"de"</span>) <span class='co'># "Streptococcus Gruppe A"</span>
<span class='fu'>mo_fullname</span>(<span class='st'>"S. pyogenes"</span>,
<span class='kw'>Lancefield</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>,
<span class='kw'>language</span> <span class='kw'>=</span> <span class='st'>"nl"</span>) <span class='co'># "Streptococcus groep A"</span>
Lancefield = <span class='fl'>TRUE</span>,
language = <span class='st'>"nl"</span>) <span class='co'># "Streptococcus groep A"</span>
<span class='co'># get a list with the complete taxonomy (from kingdom to subspecies)</span>
@ -465,7 +465,7 @@ This package contains the complete taxonomic tree of almost all microorganisms (
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

24
docs/reference/mo_source.html
View File

@ -83,7 +83,7 @@ This is the fastest way to have your organisation (or analysis) specific codes p
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -237,7 +237,7 @@ This is the fastest way to have your organisation (or analysis) specific codes p
<p>This is <strong>the fastest way</strong> to have your organisation (or analysis) specific codes picked up and translated by this package.</p>
</div>
<pre class="usage"><span class='fu'>set_mo_source</span>(<span class='no'>path</span>)
<pre class="usage"><span class='fu'>set_mo_source</span>(<span class='kw'>path</span>)
<span class='fu'>get_mo_source</span>()</pre>
@ -270,19 +270,19 @@ This is the fastest way to have your organisation (or analysis) specific codes p
</pre>
<p>We save it as <code>"home/me/ourcodes.xlsx"</code>. Now we have to set it as a source:</p><pre><span class='fu'>set_mo_source</span>(<span class='st'>"home/me/ourcodes.xlsx"</span>)
<span class='co'>#&amp;gt; NOTE: Created mo_source file '~/.mo_source.rds' from 'home/me/ourcodes.xlsx'</span>
<span class='co'>#&amp;gt; (columns "Organisation XYZ" and "mo")</span></pre>
<span class='co'>#&gt; NOTE: Created mo_source file '~/.mo_source.rds' from 'home/me/ourcodes.xlsx'</span>
<span class='co'>#&gt; (columns "Organisation XYZ" and "mo")</span></pre>
<p>It has now created a file <code>"~/.mo_source.rds"</code> with the contents of our Excel file. Only the first column with foreign values and the 'mo' column will be kept when creating the RDS file.</p>
<p>And now we can use it in our functions:</p><pre><span class='fu'><a href='as.mo.html'>as.mo</a></span>(<span class='st'>"lab_mo_ecoli"</span>)
<span class='co'>#&amp;gt; [1] B_ESCHR_COLI</span>
<span class='co'>#&gt; [1] B_ESCHR_COLI</span>
<span class='fu'><a href='mo_property.html'>mo_genus</a></span>(<span class='st'>"lab_mo_kpneumoniae"</span>)
<span class='co'>#&amp;gt; [1] "Klebsiella"</span>
<span class='co'>#&gt; [1] "Klebsiella"</span>
<span class='co'># other input values still work too</span>
<span class='fu'><a href='as.mo.html'>as.mo</a></span>(<span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"Escherichia coli"</span>, <span class='st'>"E. coli"</span>, <span class='st'>"lab_mo_ecoli"</span>))
<span class='co'>#&amp;gt; [1] B_ESCHR_COLI B_ESCHR_COLI B_ESCHR_COLI</span></pre>
<span class='co'>#&gt; [1] B_ESCHR_COLI B_ESCHR_COLI B_ESCHR_COLI</span></pre>
<p>If we edit the Excel file by, let's say, adding row 4 like this:</p><pre> | A | B |
--|--------------------|--------------|
@ -294,12 +294,12 @@ This is the fastest way to have your organisation (or analysis) specific codes p
</pre>
<p>...any new usage of an MO function in this package will update your data file:</p><pre><span class='fu'><a href='as.mo.html'>as.mo</a></span>(<span class='st'>"lab_mo_ecoli"</span>)
<span class='co'>#&amp;gt; NOTE: Updated mo_source file '~/.mo_source.rds' from 'home/me/ourcodes.xlsx'</span>
<span class='co'>#&amp;gt; (columns "Organisation XYZ" and "mo")</span>
<span class='co'>#&amp;gt; [1] B_ESCHR_COLI</span>
<span class='co'>#&gt; NOTE: Updated mo_source file '~/.mo_source.rds' from 'home/me/ourcodes.xlsx'</span>
<span class='co'>#&gt; (columns "Organisation XYZ" and "mo")</span>
<span class='co'>#&gt; [1] B_ESCHR_COLI</span>
<span class='fu'><a href='mo_property.html'>mo_genus</a></span>(<span class='st'>"lab_Staph_aureus"</span>)
<span class='co'>#&amp;gt; [1] "Staphylococcus"</span></pre>
<span class='co'>#&gt; [1] "Staphylococcus"</span></pre>
<p>To delete the reference data file, just use <code>""</code>, <code>NULL</code> or <code>FALSE</code> as input for <code>set_mo_source()</code>:</p><pre><span class='fu'>set_mo_source</span>(<span class='kw'>NULL</span>)
<span class='co'># Removed mo_source file '~/.mo_source.rds'.</span></pre>
@ -333,7 +333,7 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

8
docs/reference/p_symbol.html
View File

@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -232,10 +232,10 @@
</div>
<div class="ref-description">
<p>Return the symbol related to the p-value: 0 '<code>***</code>' 0.001 '<code>**</code>' 0.01 '<code>*</code>' 0.05 '<code>.</code>' 0.1 ' ' 1. Values above <code>p = 1</code> will return <code>NA</code>.</p>
<p>Return the symbol related to the p-value: 0 '<code>***</code>' 0.001 '<code>**</code>' 0.01 '<code><a href='https://rdrr.io/r/base/Arithmetic.html'>*</a></code>' 0.05 '<code>.</code>' 0.1 ' ' 1. Values above <code>p = 1</code> will return <code>NA</code>.</p>
</div>
<pre class="usage"><span class='fu'>p_symbol</span>(<span class='no'>p</span>, <span class='kw'>emptychar</span> <span class='kw'>=</span> <span class='st'>" "</span>)</pre>
<pre class="usage"><span class='fu'>p_symbol</span>(<span class='kw'>p</span>, emptychar = <span class='st'>" "</span>)</pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
<table class="ref-arguments">
@ -280,7 +280,7 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>questioni
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

46
docs/reference/pca.html
View File

@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -236,13 +236,13 @@
</div>
<pre class="usage"><span class='fu'>pca</span>(
<span class='no'>x</span>,
<span class='no'>...</span>,
<span class='kw'>retx</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>,
<span class='kw'>center</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>,
<span class='kw'>scale.</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>,
<span class='kw'>tol</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>rank.</span> <span class='kw'>=</span> <span class='kw'>NULL</span>
<span class='kw'>x</span>,
<span class='kw'>...</span>,
retx = <span class='fl'>TRUE</span>,
center = <span class='fl'>TRUE</span>,
scale. = <span class='fl'>TRUE</span>,
tol = <span class='kw'>NULL</span>,
rank. = <span class='kw'>NULL</span>
)</pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
@ -315,22 +315,22 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>maturing<
<pre class="examples"><span class='co'># `example_isolates` is a dataset available in the AMR package.</span>
<span class='co'># See ?example_isolates.</span>
<span class='kw'>if</span> (<span class='fl'>FALSE</span>) {
<span class='co'>if</span> (<span class='fl'>FALSE</span>) {
<span class='co'># calculate the resistance per group first</span>
<span class='fu'><a href='https://rdrr.io/r/base/library.html'>library</a></span>(<span class='no'>dplyr</span>)
<span class='no'>resistance_data</span> <span class='kw'>&lt;-</span> <span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span>(<span class='kw'>order</span> <span class='kw'>=</span> <span class='fu'><a href='mo_property.html'>mo_order</a></span>(<span class='no'>mo</span>), <span class='co'># group on anything, like order</span>
<span class='kw'>genus</span> <span class='kw'>=</span> <span class='fu'><a href='mo_property.html'>mo_genus</a></span>(<span class='no'>mo</span>)) <span class='kw'>%&gt;%</span> <span class='co'># and genus as we do here</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/summarise_all.html'>summarise_if</a></span>(<span class='no'>is.rsi</span>, <span class='no'>resistance</span>) <span class='co'># then get resistance of all drugs</span>
<span class='fu'><a href='https://rdrr.io/r/base/library.html'>library</a></span>(<span class='kw'><a href='https://dplyr.tidyverse.org'>dplyr</a></span>)
<span class='kw'>resistance_data</span> <span class='op'>&lt;-</span> <span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span>(order = <span class='fu'><a href='mo_property.html'>mo_order</a></span>(<span class='kw'>mo</span>), <span class='co'># group on anything, like order</span>
genus = <span class='fu'><a href='mo_property.html'>mo_genus</a></span>(<span class='kw'>mo</span>)) <span class='op'>%&gt;%</span> <span class='co'># and genus as we do here</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/summarise_all.html'>summarise_if</a></span>(<span class='kw'>is.rsi</span>, <span class='kw'>resistance</span>) <span class='co'># then get resistance of all drugs</span>
<span class='co'># now conduct PCA for certain antimicrobial agents</span>
<span class='no'>pca_result</span> <span class='kw'>&lt;-</span> <span class='no'>resistance_data</span> <span class='kw'>%&gt;%</span>
<span class='fu'>pca</span>(<span class='no'>AMC</span>, <span class='no'>CXM</span>, <span class='no'>CTX</span>, <span class='no'>CAZ</span>, <span class='no'>GEN</span>, <span class='no'>TOB</span>, <span class='no'>TMP</span>, <span class='no'>SXT</span>)
<span class='no'>pca_result</span>
<span class='fu'><a href='https://rdrr.io/r/base/summary.html'>summary</a></span>(<span class='no'>pca_result</span>)
<span class='fu'><a href='https://rdrr.io/r/stats/biplot.html'>biplot</a></span>(<span class='no'>pca_result</span>)
<span class='fu'><a href='ggplot_pca.html'>ggplot_pca</a></span>(<span class='no'>pca_result</span>) <span class='co'># a new and convenient plot function</span>
<span class='kw'>pca_result</span> <span class='op'>&lt;-</span> <span class='kw'>resistance_data</span> <span class='op'>%&gt;%</span>
<span class='fu'>pca</span>(<span class='kw'>AMC</span>, <span class='kw'>CXM</span>, <span class='kw'>CTX</span>, <span class='kw'>CAZ</span>, <span class='kw'>GEN</span>, <span class='kw'>TOB</span>, <span class='kw'>TMP</span>, <span class='kw'>SXT</span>)
<span class='kw'>pca_result</span>
<span class='fu'><a href='https://rdrr.io/r/base/summary.html'>summary</a></span>(<span class='kw'>pca_result</span>)
<span class='fu'><a href='https://rdrr.io/r/stats/biplot.html'>biplot</a></span>(<span class='kw'>pca_result</span>)
<span class='fu'><a href='ggplot_pca.html'>ggplot_pca</a></span>(<span class='kw'>pca_result</span>) <span class='co'># a new and convenient plot function</span>
}</pre>
</div>
<div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
@ -347,7 +347,7 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>maturing<
</div>
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<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
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199
docs/reference/proportion.html
View File

@ -83,7 +83,7 @@ resistance() should be used to calculate resistance, susceptibility() should be
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -233,42 +233,42 @@ resistance() should be used to calculate resistance, susceptibility() should be
</div>
<div class="ref-description">
<p>These functions can be used to calculate the (co-)resistance or susceptibility of microbial isolates (i.e. percentage of S, SI, I, IR or R). All functions support quasiquotation with pipes, can be used in <code>summarise()</code> from the <code>dplyr</code> package and also support grouped variables, please see <em>Examples</em>.</p>
<p>These functions can be used to calculate the (co-)resistance or susceptibility of microbial isolates (i.e. percentage of S, SI, I, IR or R). All functions support quasiquotation with pipes, can be used in <code><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise()</a></code> from the <code>dplyr</code> package and also support grouped variables, please see <em>Examples</em>.</p>
<p><code>resistance()</code> should be used to calculate resistance, <code>susceptibility()</code> should be used to calculate susceptibility.<br /></p>
</div>
<pre class="usage"><span class='fu'>resistance</span>(<span class='no'>...</span>, <span class='kw'>minimum</span> <span class='kw'>=</span> <span class='fl'>30</span>, <span class='kw'>as_percent</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='kw'>only_all_tested</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<pre class="usage"><span class='fu'>resistance</span>(<span class='kw'>...</span>, minimum = <span class='fl'>30</span>, as_percent = <span class='fl'>FALSE</span>, only_all_tested = <span class='fl'>FALSE</span>)
<span class='fu'>susceptibility</span>(<span class='no'>...</span>, <span class='kw'>minimum</span> <span class='kw'>=</span> <span class='fl'>30</span>, <span class='kw'>as_percent</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='kw'>only_all_tested</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<span class='fu'>susceptibility</span>(<span class='kw'>...</span>, minimum = <span class='fl'>30</span>, as_percent = <span class='fl'>FALSE</span>, only_all_tested = <span class='fl'>FALSE</span>)
<span class='fu'>proportion_R</span>(<span class='no'>...</span>, <span class='kw'>minimum</span> <span class='kw'>=</span> <span class='fl'>30</span>, <span class='kw'>as_percent</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='kw'>only_all_tested</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<span class='fu'>proportion_R</span>(<span class='kw'>...</span>, minimum = <span class='fl'>30</span>, as_percent = <span class='fl'>FALSE</span>, only_all_tested = <span class='fl'>FALSE</span>)
<span class='fu'>proportion_IR</span>(<span class='no'>...</span>, <span class='kw'>minimum</span> <span class='kw'>=</span> <span class='fl'>30</span>, <span class='kw'>as_percent</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='kw'>only_all_tested</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<span class='fu'>proportion_IR</span>(<span class='kw'>...</span>, minimum = <span class='fl'>30</span>, as_percent = <span class='fl'>FALSE</span>, only_all_tested = <span class='fl'>FALSE</span>)
<span class='fu'>proportion_I</span>(<span class='no'>...</span>, <span class='kw'>minimum</span> <span class='kw'>=</span> <span class='fl'>30</span>, <span class='kw'>as_percent</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='kw'>only_all_tested</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<span class='fu'>proportion_I</span>(<span class='kw'>...</span>, minimum = <span class='fl'>30</span>, as_percent = <span class='fl'>FALSE</span>, only_all_tested = <span class='fl'>FALSE</span>)
<span class='fu'>proportion_SI</span>(<span class='no'>...</span>, <span class='kw'>minimum</span> <span class='kw'>=</span> <span class='fl'>30</span>, <span class='kw'>as_percent</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='kw'>only_all_tested</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<span class='fu'>proportion_SI</span>(<span class='kw'>...</span>, minimum = <span class='fl'>30</span>, as_percent = <span class='fl'>FALSE</span>, only_all_tested = <span class='fl'>FALSE</span>)
<span class='fu'>proportion_S</span>(<span class='no'>...</span>, <span class='kw'>minimum</span> <span class='kw'>=</span> <span class='fl'>30</span>, <span class='kw'>as_percent</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='kw'>only_all_tested</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<span class='fu'>proportion_S</span>(<span class='kw'>...</span>, minimum = <span class='fl'>30</span>, as_percent = <span class='fl'>FALSE</span>, only_all_tested = <span class='fl'>FALSE</span>)
<span class='fu'>proportion_df</span>(
<span class='no'>data</span>,
<span class='kw'>translate_ab</span> <span class='kw'>=</span> <span class='st'>"name"</span>,
<span class='kw'>language</span> <span class='kw'>=</span> <span class='fu'><a href='translate.html'>get_locale</a></span>(),
<span class='kw'>minimum</span> <span class='kw'>=</span> <span class='fl'>30</span>,
<span class='kw'>as_percent</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>,
<span class='kw'>combine_SI</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>,
<span class='kw'>combine_IR</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>
<span class='kw'>data</span>,
translate_ab = <span class='st'>"name"</span>,
language = <span class='fu'><a href='translate.html'>get_locale</a></span>(),
minimum = <span class='fl'>30</span>,
as_percent = <span class='fl'>FALSE</span>,
combine_SI = <span class='fl'>TRUE</span>,
combine_IR = <span class='fl'>FALSE</span>
)
<span class='fu'>rsi_df</span>(
<span class='no'>data</span>,
<span class='kw'>translate_ab</span> <span class='kw'>=</span> <span class='st'>"name"</span>,
<span class='kw'>language</span> <span class='kw'>=</span> <span class='fu'><a href='translate.html'>get_locale</a></span>(),
<span class='kw'>minimum</span> <span class='kw'>=</span> <span class='fl'>30</span>,
<span class='kw'>as_percent</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>,
<span class='kw'>combine_SI</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>,
<span class='kw'>combine_IR</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>
<span class='kw'>data</span>,
translate_ab = <span class='st'>"name"</span>,
language = <span class='fu'><a href='translate.html'>get_locale</a></span>(),
minimum = <span class='fl'>30</span>,
as_percent = <span class='fl'>FALSE</span>,
combine_SI = <span class='fl'>TRUE</span>,
combine_IR = <span class='fl'>FALSE</span>
)</pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
@ -336,22 +336,21 @@ resistance() should be used to calculate resistance, susceptibility() should be
-------- -------- ---------- ----------- ---------- -----------
S or I S or I X X X X
R S or I X X X X
&amp;lt;NA&amp;gt; S or I X X - -
&lt;NA&gt; S or I X X - -
S or I R X X X X
R R - X - X
&amp;lt;NA&amp;gt; R - - - -
S or I &amp;lt;NA&amp;gt; X X - -
R &amp;lt;NA&amp;gt; - - - -
&amp;lt;NA&amp;gt; &amp;lt;NA&amp;gt; - - - -
&lt;NA&gt; R - - - -
S or I &lt;NA&gt; X X - -
R &lt;NA&gt; - - - -
&lt;NA&gt; &lt;NA&gt; - - - -
--------------------------------------------------------------------
</pre>
<p>Please note that, in combination therapies, for <code>only_all_tested = TRUE</code> applies that:</p><pre> <span class='fu'><a href='count.html'>count_S</a></span>() + <span class='fu'><a href='count.html'>count_I</a></span>() + <span class='fu'><a href='count.html'>count_R</a></span>() <span class='kw'>=</span> <span class='fu'><a href='count.html'>count_all</a></span>()
<span class='fu'>proportion_S</span>() + <span class='fu'>proportion_I</span>() + <span class='fu'>proportion_R</span>() <span class='kw'>=</span> <span class='fl'>1</span></pre>
<p>Please note that, in combination therapies, for <code>only_all_tested = TRUE</code> applies that:</p><pre> <span class='fu'><a href='count.html'>count_S</a></span>() <span class='op'>+</span> <span class='fu'><a href='count.html'>count_I</a></span>() <span class='op'>+</span> <span class='fu'><a href='count.html'>count_R</a></span>() <span class='op'>=</span> <span class='fu'><a href='count.html'>count_all</a></span>()
<span class='fu'>proportion_S</span>() <span class='op'>+</span> <span class='fu'>proportion_I</span>() <span class='op'>+</span> <span class='fu'>proportion_R</span>() <span class='op'>=</span> <span class='fl'>1</span></pre>
<p>and that, in combination therapies, for <code>only_all_tested = FALSE</code> applies that:</p><pre> count_S() + count_I() + count_R() &amp;gt;= count_all()
proportion_S() + proportion_I() + proportion_R() &amp;gt;= 1
</pre>
<p>and that, in combination therapies, for <code>only_all_tested = FALSE</code> applies that:</p><pre> <span class='fu'><a href='count.html'>count_S</a></span>() <span class='op'>+</span> <span class='fu'><a href='count.html'>count_I</a></span>() <span class='op'>+</span> <span class='fu'><a href='count.html'>count_R</a></span>() <span class='op'>&gt;=</span> <span class='fu'><a href='count.html'>count_all</a></span>()
<span class='fu'>proportion_S</span>() <span class='op'>+</span> <span class='fu'>proportion_I</span>() <span class='op'>+</span> <span class='fu'>proportion_R</span>() <span class='op'>&gt;=</span> <span class='fl'>1</span></pre>
<p>Using <code>only_all_tested</code> has no impact when only using one antibiotic as input.</p>
<h2 class="hasAnchor" id="stable-lifecycle"><a class="anchor" href="#stable-lifecycle"></a>Stable lifecycle</h2>
@ -386,84 +385,84 @@ A microorganism is categorised as <em>Susceptible, Increased exposure</em> when
<h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
<pre class="examples"><span class='co'># example_isolates is a data set available in the AMR package.</span>
?<span class='no'>example_isolates</span>
<span class='op'>?</span><span class='kw'>example_isolates</span>
<span class='fu'>resistance</span>(<span class='no'>example_isolates</span>$<span class='no'>AMX</span>) <span class='co'># determines %R</span>
<span class='fu'>susceptibility</span>(<span class='no'>example_isolates</span>$<span class='no'>AMX</span>) <span class='co'># determines %S+I</span>
<span class='fu'>resistance</span>(<span class='kw'>example_isolates</span><span class='op'>$</span><span class='kw'>AMX</span>) <span class='co'># determines %R</span>
<span class='fu'>susceptibility</span>(<span class='kw'>example_isolates</span><span class='op'>$</span><span class='kw'>AMX</span>) <span class='co'># determines %S+I</span>
<span class='co'># be more specific</span>
<span class='fu'>proportion_S</span>(<span class='no'>example_isolates</span>$<span class='no'>AMX</span>)
<span class='fu'>proportion_SI</span>(<span class='no'>example_isolates</span>$<span class='no'>AMX</span>)
<span class='fu'>proportion_I</span>(<span class='no'>example_isolates</span>$<span class='no'>AMX</span>)
<span class='fu'>proportion_IR</span>(<span class='no'>example_isolates</span>$<span class='no'>AMX</span>)
<span class='fu'>proportion_R</span>(<span class='no'>example_isolates</span>$<span class='no'>AMX</span>)
<span class='kw'>if</span> (<span class='fu'><a href='https://rdrr.io/r/base/library.html'>require</a></span>(<span class='st'>"dplyr"</span>)) {
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span>(<span class='no'>hospital_id</span>) <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise</a></span>(<span class='kw'>r</span> <span class='kw'>=</span> <span class='fu'>resistance</span>(<span class='no'>CIP</span>),
<span class='kw'>n</span> <span class='kw'>=</span> <span class='fu'><a href='count.html'>n_rsi</a></span>(<span class='no'>CIP</span>)) <span class='co'># n_rsi works like n_distinct in dplyr, see ?n_rsi</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span>(<span class='no'>hospital_id</span>) <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise</a></span>(<span class='kw'>R</span> <span class='kw'>=</span> <span class='fu'>resistance</span>(<span class='no'>CIP</span>, <span class='kw'>as_percent</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>),
<span class='kw'>SI</span> <span class='kw'>=</span> <span class='fu'>susceptibility</span>(<span class='no'>CIP</span>, <span class='kw'>as_percent</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>),
<span class='kw'>n1</span> <span class='kw'>=</span> <span class='fu'><a href='count.html'>count_all</a></span>(<span class='no'>CIP</span>), <span class='co'># the actual total; sum of all three</span>
<span class='kw'>n2</span> <span class='kw'>=</span> <span class='fu'><a href='count.html'>n_rsi</a></span>(<span class='no'>CIP</span>), <span class='co'># same - analogous to n_distinct</span>
<span class='kw'>total</span> <span class='kw'>=</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/context.html'>n</a></span>()) <span class='co'># NOT the number of tested isolates!</span>
<span class='fu'>proportion_S</span>(<span class='kw'>example_isolates</span><span class='op'>$</span><span class='kw'>AMX</span>)
<span class='fu'>proportion_SI</span>(<span class='kw'>example_isolates</span><span class='op'>$</span><span class='kw'>AMX</span>)
<span class='fu'>proportion_I</span>(<span class='kw'>example_isolates</span><span class='op'>$</span><span class='kw'>AMX</span>)
<span class='fu'>proportion_IR</span>(<span class='kw'>example_isolates</span><span class='op'>$</span><span class='kw'>AMX</span>)
<span class='fu'>proportion_R</span>(<span class='kw'>example_isolates</span><span class='op'>$</span><span class='kw'>AMX</span>)
<span class='co'>if</span> (<span class='fu'><a href='https://rdrr.io/r/base/library.html'>require</a></span>(<span class='st'><a href='https://dplyr.tidyverse.org'>"dplyr"</a></span>)) {
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span>(<span class='kw'>hospital_id</span>) <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise</a></span>(r = <span class='fu'>resistance</span>(<span class='kw'>CIP</span>),
n = <span class='fu'><a href='count.html'>n_rsi</a></span>(<span class='kw'>CIP</span>)) <span class='co'># n_rsi works like n_distinct in dplyr, see ?n_rsi</span>
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span>(<span class='kw'>hospital_id</span>) <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise</a></span>(R = <span class='fu'>resistance</span>(<span class='kw'>CIP</span>, as_percent = <span class='fl'>TRUE</span>),
SI = <span class='fu'>susceptibility</span>(<span class='kw'>CIP</span>, as_percent = <span class='fl'>TRUE</span>),
n1 = <span class='fu'><a href='count.html'>count_all</a></span>(<span class='kw'>CIP</span>), <span class='co'># the actual total; sum of all three</span>
n2 = <span class='fu'><a href='count.html'>n_rsi</a></span>(<span class='kw'>CIP</span>), <span class='co'># same - analogous to n_distinct</span>
total = <span class='fu'><a href='https://dplyr.tidyverse.org/reference/context.html'>n</a></span>()) <span class='co'># NOT the number of tested isolates!</span>
<span class='co'># Calculate co-resistance between amoxicillin/clav acid and gentamicin,</span>
<span class='co'># so we can see that combination therapy does a lot more than mono therapy:</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span> <span class='fu'>susceptibility</span>(<span class='no'>AMC</span>) <span class='co'># %SI = 76.3%</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span> <span class='fu'><a href='count.html'>count_all</a></span>(<span class='no'>AMC</span>) <span class='co'># n = 1879</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span> <span class='fu'>susceptibility</span>(<span class='no'>GEN</span>) <span class='co'># %SI = 75.4%</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span> <span class='fu'><a href='count.html'>count_all</a></span>(<span class='no'>GEN</span>) <span class='co'># n = 1855</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span> <span class='fu'>susceptibility</span>(<span class='no'>AMC</span>, <span class='no'>GEN</span>) <span class='co'># %SI = 94.1%</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span> <span class='fu'><a href='count.html'>count_all</a></span>(<span class='no'>AMC</span>, <span class='no'>GEN</span>) <span class='co'># n = 1939</span>
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span> <span class='fu'>susceptibility</span>(<span class='kw'>AMC</span>) <span class='co'># %SI = 76.3%</span>
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span> <span class='fu'><a href='count.html'>count_all</a></span>(<span class='kw'>AMC</span>) <span class='co'># n = 1879</span>
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span> <span class='fu'>susceptibility</span>(<span class='kw'>GEN</span>) <span class='co'># %SI = 75.4%</span>
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span> <span class='fu'><a href='count.html'>count_all</a></span>(<span class='kw'>GEN</span>) <span class='co'># n = 1855</span>
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span> <span class='fu'>susceptibility</span>(<span class='kw'>AMC</span>, <span class='kw'>GEN</span>) <span class='co'># %SI = 94.1%</span>
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span> <span class='fu'><a href='count.html'>count_all</a></span>(<span class='kw'>AMC</span>, <span class='kw'>GEN</span>) <span class='co'># n = 1939</span>
<span class='co'># See Details on how `only_all_tested` works. Example:</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise</a></span>(<span class='kw'>numerator</span> <span class='kw'>=</span> <span class='fu'><a href='count.html'>count_susceptible</a></span>(<span class='no'>AMC</span>, <span class='no'>GEN</span>),
<span class='kw'>denominator</span> <span class='kw'>=</span> <span class='fu'><a href='count.html'>count_all</a></span>(<span class='no'>AMC</span>, <span class='no'>GEN</span>),
<span class='kw'>proportion</span> <span class='kw'>=</span> <span class='fu'>susceptibility</span>(<span class='no'>AMC</span>, <span class='no'>GEN</span>))
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise</a></span>(<span class='kw'>numerator</span> <span class='kw'>=</span> <span class='fu'><a href='count.html'>count_susceptible</a></span>(<span class='no'>AMC</span>, <span class='no'>GEN</span>, <span class='kw'>only_all_tested</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>),
<span class='kw'>denominator</span> <span class='kw'>=</span> <span class='fu'><a href='count.html'>count_all</a></span>(<span class='no'>AMC</span>, <span class='no'>GEN</span>, <span class='kw'>only_all_tested</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>),
<span class='kw'>proportion</span> <span class='kw'>=</span> <span class='fu'>susceptibility</span>(<span class='no'>AMC</span>, <span class='no'>GEN</span>, <span class='kw'>only_all_tested</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>))
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span>(<span class='no'>hospital_id</span>) <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise</a></span>(<span class='kw'>cipro_p</span> <span class='kw'>=</span> <span class='fu'>susceptibility</span>(<span class='no'>CIP</span>, <span class='kw'>as_percent</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>),
<span class='kw'>cipro_n</span> <span class='kw'>=</span> <span class='fu'><a href='count.html'>count_all</a></span>(<span class='no'>CIP</span>),
<span class='kw'>genta_p</span> <span class='kw'>=</span> <span class='fu'>susceptibility</span>(<span class='no'>GEN</span>, <span class='kw'>as_percent</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>),
<span class='kw'>genta_n</span> <span class='kw'>=</span> <span class='fu'><a href='count.html'>count_all</a></span>(<span class='no'>GEN</span>),
<span class='kw'>combination_p</span> <span class='kw'>=</span> <span class='fu'>susceptibility</span>(<span class='no'>CIP</span>, <span class='no'>GEN</span>, <span class='kw'>as_percent</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>),
<span class='kw'>combination_n</span> <span class='kw'>=</span> <span class='fu'><a href='count.html'>count_all</a></span>(<span class='no'>CIP</span>, <span class='no'>GEN</span>))
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise</a></span>(numerator = <span class='fu'><a href='count.html'>count_susceptible</a></span>(<span class='kw'>AMC</span>, <span class='kw'>GEN</span>),
denominator = <span class='fu'><a href='count.html'>count_all</a></span>(<span class='kw'>AMC</span>, <span class='kw'>GEN</span>),
proportion = <span class='fu'>susceptibility</span>(<span class='kw'>AMC</span>, <span class='kw'>GEN</span>))
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise</a></span>(numerator = <span class='fu'><a href='count.html'>count_susceptible</a></span>(<span class='kw'>AMC</span>, <span class='kw'>GEN</span>, only_all_tested = <span class='fl'>TRUE</span>),
denominator = <span class='fu'><a href='count.html'>count_all</a></span>(<span class='kw'>AMC</span>, <span class='kw'>GEN</span>, only_all_tested = <span class='fl'>TRUE</span>),
proportion = <span class='fu'>susceptibility</span>(<span class='kw'>AMC</span>, <span class='kw'>GEN</span>, only_all_tested = <span class='fl'>TRUE</span>))
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span>(<span class='kw'>hospital_id</span>) <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise</a></span>(cipro_p = <span class='fu'>susceptibility</span>(<span class='kw'>CIP</span>, as_percent = <span class='fl'>TRUE</span>),
cipro_n = <span class='fu'><a href='count.html'>count_all</a></span>(<span class='kw'>CIP</span>),
genta_p = <span class='fu'>susceptibility</span>(<span class='kw'>GEN</span>, as_percent = <span class='fl'>TRUE</span>),
genta_n = <span class='fu'><a href='count.html'>count_all</a></span>(<span class='kw'>GEN</span>),
combination_p = <span class='fu'>susceptibility</span>(<span class='kw'>CIP</span>, <span class='kw'>GEN</span>, as_percent = <span class='fl'>TRUE</span>),
combination_n = <span class='fu'><a href='count.html'>count_all</a></span>(<span class='kw'>CIP</span>, <span class='kw'>GEN</span>))
<span class='co'># Get proportions S/I/R immediately of all rsi columns</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='no'>AMX</span>, <span class='no'>CIP</span>) <span class='kw'>%&gt;%</span>
<span class='fu'>proportion_df</span>(<span class='kw'>translate</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='kw'>AMX</span>, <span class='kw'>CIP</span>) <span class='op'>%&gt;%</span>
<span class='fu'>proportion_df</span>(translate = <span class='fl'>FALSE</span>)
<span class='co'># It also supports grouping variables</span>
<span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='no'>hospital_id</span>, <span class='no'>AMX</span>, <span class='no'>CIP</span>) <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span>(<span class='no'>hospital_id</span>) <span class='kw'>%&gt;%</span>
<span class='fu'>proportion_df</span>(<span class='kw'>translate</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span>(<span class='kw'>hospital_id</span>, <span class='kw'>AMX</span>, <span class='kw'>CIP</span>) <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span>(<span class='kw'>hospital_id</span>) <span class='op'>%&gt;%</span>
<span class='fu'>proportion_df</span>(translate = <span class='fl'>FALSE</span>)
}
<span class='kw'>if</span> (<span class='fl'>FALSE</span>) {
<span class='co'>if</span> (<span class='fl'>FALSE</span>) {
<span class='co'># calculate current empiric combination therapy of Helicobacter gastritis:</span>
<span class='no'>my_table</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span>(<span class='no'>first_isolate</span> <span class='kw'>==</span> <span class='fl'>TRUE</span>,
<span class='no'>genus</span> <span class='kw'>==</span> <span class='st'>"Helicobacter"</span>) <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise</a></span>(<span class='kw'>p</span> <span class='kw'>=</span> <span class='fu'>susceptibility</span>(<span class='no'>AMX</span>, <span class='no'>MTR</span>), <span class='co'># amoxicillin with metronidazole</span>
<span class='kw'>n</span> <span class='kw'>=</span> <span class='fu'><a href='count.html'>count_all</a></span>(<span class='no'>AMX</span>, <span class='no'>MTR</span>))
<span class='kw'>my_table</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span>(<span class='kw'>first_isolate</span> <span class='op'>==</span> <span class='fl'>TRUE</span>,
<span class='kw'>genus</span> <span class='op'>==</span> <span class='st'>"Helicobacter"</span>) <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise</a></span>(p = <span class='fu'>susceptibility</span>(<span class='kw'>AMX</span>, <span class='kw'>MTR</span>), <span class='co'># amoxicillin with metronidazole</span>
n = <span class='fu'><a href='count.html'>count_all</a></span>(<span class='kw'>AMX</span>, <span class='kw'>MTR</span>))
}</pre>
</div>
<div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
@ -480,7 +479,7 @@ A microorganism is categorised as <em>Susceptible, Increased exposure</em> when
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
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140
docs/reference/resistance_predict.html
View File

@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9000</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -236,43 +236,43 @@
</div>
<pre class="usage"><span class='fu'>resistance_predict</span>(
<span class='no'>x</span>,
<span class='no'>col_ab</span>,
<span class='kw'>col_date</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>year_min</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>year_max</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>year_every</span> <span class='kw'>=</span> <span class='fl'>1</span>,
<span class='kw'>minimum</span> <span class='kw'>=</span> <span class='fl'>30</span>,
<span class='kw'>model</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>I_as_S</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>,
<span class='kw'>preserve_measurements</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>,
<span class='kw'>info</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/interactive.html'>interactive</a></span>(),
<span class='no'>...</span>
<span class='kw'>x</span>,
<span class='kw'>col_ab</span>,
col_date = <span class='kw'>NULL</span>,
year_min = <span class='kw'>NULL</span>,
year_max = <span class='kw'>NULL</span>,
year_every = <span class='fl'>1</span>,
minimum = <span class='fl'>30</span>,
model = <span class='kw'>NULL</span>,
I_as_S = <span class='fl'>TRUE</span>,
preserve_measurements = <span class='fl'>TRUE</span>,
info = <span class='fu'><a href='https://rdrr.io/r/base/interactive.html'>interactive</a></span>(),
<span class='kw'>...</span>
)
<span class='fu'>rsi_predict</span>(
<span class='no'>x</span>,
<span class='no'>col_ab</span>,
<span class='kw'>col_date</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>year_min</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>year_max</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>year_every</span> <span class='kw'>=</span> <span class='fl'>1</span>,
<span class='kw'>minimum</span> <span class='kw'>=</span> <span class='fl'>30</span>,
<span class='kw'>model</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>I_as_S</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>,
<span class='kw'>preserve_measurements</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>,
<span class='kw'>info</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/interactive.html'>interactive</a></span>(),
<span class='no'>...</span>
<span class='kw'>x</span>,
<span class='kw'>col_ab</span>,
col_date = <span class='kw'>NULL</span>,
year_min = <span class='kw'>NULL</span>,
year_max = <span class='kw'>NULL</span>,
year_every = <span class='fl'>1</span>,
minimum = <span class='fl'>30</span>,
model = <span class='kw'>NULL</span>,
I_as_S = <span class='fl'>TRUE</span>,
preserve_measurements = <span class='fl'>TRUE</span>,
info = <span class='fu'><a href='https://rdrr.io/r/base/interactive.html'>interactive</a></span>(),
<span class='kw'>...</span>
)
<span class='co'># S3 method for resistance_predict</span>
<span class='fu'><a href='https://rdrr.io/r/base/plot.html'>plot</a></span>(<span class='no'>x</span>, <span class='kw'>main</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/paste.html'>paste</a></span>(<span class='st'>"Resistance Prediction of"</span>, <span class='no'>x_name</span>), <span class='no'>...</span>)
<span class='fu'><a href='https://rdrr.io/r/graphics/plot.default.html'>plot</a></span>(<span class='kw'>x</span>, main = <span class='fu'><a href='https://rdrr.io/r/base/paste.html'>paste</a></span>(<span class='st'>"Resistance Prediction of"</span>, <span class='kw'>x_name</span>), <span class='kw'>...</span>)
<span class='fu'>ggplot_rsi_predict</span>(
<span class='no'>x</span>,
<span class='kw'>main</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/paste.html'>paste</a></span>(<span class='st'>"Resistance Prediction of"</span>, <span class='no'>x_name</span>),
<span class='kw'>ribbon</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>,
<span class='no'>...</span>
<span class='kw'>x</span>,
main = <span class='fu'><a href='https://rdrr.io/r/base/paste.html'>paste</a></span>(<span class='st'>"Resistance Prediction of"</span>, <span class='kw'>x_name</span>),
ribbon = <span class='fl'>TRUE</span>,
<span class='kw'>...</span>
)</pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
@ -388,56 +388,56 @@ A microorganism is categorised as <em>Susceptible, Increased exposure</em> when
<p>Models: <code><a href='https://rdrr.io/r/stats/lm.html'>lm()</a></code> <code><a href='https://rdrr.io/r/stats/glm.html'>glm()</a></code></p></div>
<h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
<pre class="examples"><span class='no'>x</span> <span class='kw'>&lt;-</span> <span class='fu'>resistance_predict</span>(<span class='no'>example_isolates</span>,
<span class='kw'>col_ab</span> <span class='kw'>=</span> <span class='st'>"AMX"</span>,
<span class='kw'>year_min</span> <span class='kw'>=</span> <span class='fl'>2010</span>,
<span class='kw'>model</span> <span class='kw'>=</span> <span class='st'>"binomial"</span>)
<span class='fu'><a href='https://rdrr.io/r/base/plot.html'>plot</a></span>(<span class='no'>x</span>)
<span class='kw'>if</span> (<span class='fu'><a href='https://rdrr.io/r/base/library.html'>require</a></span>(<span class='st'>"ggplot2"</span>)) {
<span class='fu'>ggplot_rsi_predict</span>(<span class='no'>x</span>)
<pre class="examples"><span class='kw'>x</span> <span class='op'>&lt;-</span> <span class='fu'>resistance_predict</span>(<span class='kw'>example_isolates</span>,
col_ab = <span class='st'>"AMX"</span>,
year_min = <span class='fl'>2010</span>,
model = <span class='st'>"binomial"</span>)
<span class='fu'><a href='https://rdrr.io/r/graphics/plot.default.html'>plot</a></span>(<span class='kw'>x</span>)
<span class='co'>if</span> (<span class='fu'><a href='https://rdrr.io/r/base/library.html'>require</a></span>(<span class='st'><a href='http://ggplot2.tidyverse.org'>"ggplot2"</a></span>)) {
<span class='fu'>ggplot_rsi_predict</span>(<span class='kw'>x</span>)
}
<span class='co'># using dplyr:</span>
<span class='kw'>if</span> (<span class='fu'><a href='https://rdrr.io/r/base/library.html'>require</a></span>(<span class='st'>"dplyr"</span>)) {
<span class='no'>x</span> <span class='kw'>&lt;-</span> <span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='first_isolate.html'>filter_first_isolate</a></span>() <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span>(<span class='fu'><a href='mo_property.html'>mo_genus</a></span>(<span class='no'>mo</span>) <span class='kw'>==</span> <span class='st'>"Staphylococcus"</span>) <span class='kw'>%&gt;%</span>
<span class='fu'>resistance_predict</span>(<span class='st'>"PEN"</span>, <span class='kw'>model</span> <span class='kw'>=</span> <span class='st'>"binomial"</span>)
<span class='fu'><a href='https://rdrr.io/r/base/plot.html'>plot</a></span>(<span class='no'>x</span>)
<span class='co'>if</span> (<span class='fu'><a href='https://rdrr.io/r/base/library.html'>require</a></span>(<span class='st'><a href='https://dplyr.tidyverse.org'>"dplyr"</a></span>)) {
<span class='kw'>x</span> <span class='op'>&lt;-</span> <span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='first_isolate.html'>filter_first_isolate</a></span>() <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span>(<span class='fu'><a href='mo_property.html'>mo_genus</a></span>(<span class='kw'>mo</span>) <span class='op'>==</span> <span class='st'>"Staphylococcus"</span>) <span class='op'>%&gt;%</span>
<span class='fu'>resistance_predict</span>(<span class='st'>"PEN"</span>, model = <span class='st'>"binomial"</span>)
<span class='fu'><a href='https://rdrr.io/r/graphics/plot.default.html'>plot</a></span>(<span class='kw'>x</span>)
<span class='co'># get the model from the object</span>
<span class='no'>mymodel</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/attributes.html'>attributes</a></span>(<span class='no'>x</span>)$<span class='no'>model</span>
<span class='fu'><a href='https://rdrr.io/r/base/summary.html'>summary</a></span>(<span class='no'>mymodel</span>)
<span class='kw'>mymodel</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/attributes.html'>attributes</a></span>(<span class='kw'>x</span>)<span class='op'>$</span><span class='kw'>model</span>
<span class='fu'><a href='https://rdrr.io/r/base/summary.html'>summary</a></span>(<span class='kw'>mymodel</span>)
}
<span class='co'># create nice plots with ggplot2 yourself</span>
<span class='kw'>if</span> (<span class='fl'>FALSE</span>) {
<span class='fu'><a href='https://rdrr.io/r/base/library.html'>library</a></span>(<span class='no'>dplyr</span>)
<span class='fu'><a href='https://rdrr.io/r/base/library.html'>library</a></span>(<span class='no'>ggplot2</span>)
<span class='co'>if</span> (<span class='fl'>FALSE</span>) {
<span class='fu'><a href='https://rdrr.io/r/base/library.html'>library</a></span>(<span class='kw'><a href='https://dplyr.tidyverse.org'>dplyr</a></span>)
<span class='fu'><a href='https://rdrr.io/r/base/library.html'>library</a></span>(<span class='kw'><a href='http://ggplot2.tidyverse.org'>ggplot2</a></span>)
<span class='no'>data</span> <span class='kw'>&lt;-</span> <span class='no'>example_isolates</span> <span class='kw'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span>(<span class='no'>mo</span> <span class='kw'>==</span> <span class='fu'><a href='as.mo.html'>as.mo</a></span>(<span class='st'>"E. coli"</span>)) <span class='kw'>%&gt;%</span>
<span class='fu'>resistance_predict</span>(<span class='kw'>col_ab</span> <span class='kw'>=</span> <span class='st'>"AMX"</span>,
<span class='kw'>col_date</span> <span class='kw'>=</span> <span class='st'>"date"</span>,
<span class='kw'>model</span> <span class='kw'>=</span> <span class='st'>"binomial"</span>,
<span class='kw'>info</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>,
<span class='kw'>minimum</span> <span class='kw'>=</span> <span class='fl'>15</span>)
<span class='kw'>data</span> <span class='op'>&lt;-</span> <span class='kw'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span>(<span class='kw'>mo</span> <span class='op'>==</span> <span class='fu'><a href='as.mo.html'>as.mo</a></span>(<span class='st'>"E. coli"</span>)) <span class='op'>%&gt;%</span>
<span class='fu'>resistance_predict</span>(col_ab = <span class='st'>"AMX"</span>,
col_date = <span class='st'>"date"</span>,
model = <span class='st'>"binomial"</span>,
info = <span class='fl'>FALSE</span>,
minimum = <span class='fl'>15</span>)
<span class='fu'><a href='https://ggplot2.tidyverse.org/reference/ggplot.html'>ggplot</a></span>(<span class='no'>data</span>,
<span class='fu'><a href='https://ggplot2.tidyverse.org/reference/aes.html'>aes</a></span>(<span class='kw'>x</span> <span class='kw'>=</span> <span class='no'>year</span>)) +
<span class='fu'><a href='https://ggplot2.tidyverse.org/reference/geom_bar.html'>geom_col</a></span>(<span class='fu'><a href='https://ggplot2.tidyverse.org/reference/aes.html'>aes</a></span>(<span class='kw'>y</span> <span class='kw'>=</span> <span class='no'>value</span>),
<span class='kw'>fill</span> <span class='kw'>=</span> <span class='st'>"grey75"</span>) +
<span class='fu'><a href='https://ggplot2.tidyverse.org/reference/geom_linerange.html'>geom_errorbar</a></span>(<span class='fu'><a href='https://ggplot2.tidyverse.org/reference/aes.html'>aes</a></span>(<span class='kw'>ymin</span> <span class='kw'>=</span> <span class='no'>se_min</span>,
<span class='kw'>ymax</span> <span class='kw'>=</span> <span class='no'>se_max</span>),
<span class='kw'>colour</span> <span class='kw'>=</span> <span class='st'>"grey50"</span>) +
<span class='fu'><a href='https://ggplot2.tidyverse.org/reference/scale_continuous.html'>scale_y_continuous</a></span>(<span class='kw'>limits</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='fl'>0</span>, <span class='fl'>1</span>),
<span class='kw'>breaks</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/seq.html'>seq</a></span>(<span class='fl'>0</span>, <span class='fl'>1</span>, <span class='fl'>0.1</span>),
<span class='kw'>labels</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/paste.html'>paste0</a></span>(<span class='fu'><a href='https://rdrr.io/r/base/seq.html'>seq</a></span>(<span class='fl'>0</span>, <span class='fl'>100</span>, <span class='fl'>10</span>), <span class='st'>"%"</span>)) +
<span class='fu'><a href='https://ggplot2.tidyverse.org/reference/labs.html'>labs</a></span>(<span class='kw'>title</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/expression.html'>expression</a></span>(<span class='fu'><a href='https://rdrr.io/r/base/paste.html'>paste</a></span>(<span class='st'>"Forecast of Amoxicillin Resistance in "</span>,
<span class='fu'><a href='https://ggplot2.tidyverse.org/reference/ggplot.html'>ggplot</a></span>(<span class='kw'>data</span>,
<span class='fu'><a href='https://ggplot2.tidyverse.org/reference/aes.html'>aes</a></span>(x = <span class='kw'>year</span>)) <span class='op'>+</span>
<span class='fu'><a href='https://ggplot2.tidyverse.org/reference/geom_bar.html'>geom_col</a></span>(<span class='fu'><a href='https://ggplot2.tidyverse.org/reference/aes.html'>aes</a></span>(y = <span class='kw'>value</span>),
fill = <span class='st'>"grey75"</span>) <span class='op'>+</span>
<span class='fu'><a href='https://ggplot2.tidyverse.org/reference/geom_linerange.html'>geom_errorbar</a></span>(<span class='fu'><a href='https://ggplot2.tidyverse.org/reference/aes.html'>aes</a></span>(ymin = <span class='kw'>se_min</span>,
ymax = <span class='kw'>se_max</span>),
colour = <span class='st'>"grey50"</span>) <span class='op'>+</span>
<span class='fu'><a href='https://ggplot2.tidyverse.org/reference/scale_continuous.html'>scale_y_continuous</a></span>(limits = <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='fl'>0</span>, <span class='fl'>1</span>),
breaks = <span class='fu'><a href='https://rdrr.io/r/base/seq.html'>seq</a></span>(<span class='fl'>0</span>, <span class='fl'>1</span>, <span class='fl'>0.1</span>),
labels = <span class='fu'><a href='https://rdrr.io/r/base/paste.html'>paste0</a></span>(<span class='fu'><a href='https://rdrr.io/r/base/seq.html'>seq</a></span>(<span class='fl'>0</span>, <span class='fl'>100</span>, <span class='fl'>10</span>), <span class='st'>"%"</span>)) <span class='op'>+</span>
<span class='fu'><a href='https://ggplot2.tidyverse.org/reference/labs.html'>labs</a></span>(title = <span class='fu'><a href='https://rdrr.io/r/base/expression.html'>expression</a></span>(<span class='fu'><a href='https://rdrr.io/r/base/paste.html'>paste</a></span>(<span class='st'>"Forecast of Amoxicillin Resistance in "</span>,
<span class='fu'><a href='https://rdrr.io/r/grDevices/plotmath.html'>italic</a></span>(<span class='st'>"E. coli"</span>))),
<span class='kw'>y</span> <span class='kw'>=</span> <span class='st'>"%R"</span>,
<span class='kw'>x</span> <span class='kw'>=</span> <span class='st'>"Year"</span>) +
<span class='fu'><a href='https://ggplot2.tidyverse.org/reference/ggtheme.html'>theme_minimal</a></span>(<span class='kw'>base_size</span> <span class='kw'>=</span> <span class='fl'>13</span>)
y = <span class='st'>"%R"</span>,
x = <span class='st'>"Year"</span>) <span class='op'>+</span>
<span class='fu'><a href='https://ggplot2.tidyverse.org/reference/ggtheme.html'>theme_minimal</a></span>(base_size = <span class='fl'>13</span>)
}</pre>
</div>
<div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
@ -454,7 +454,7 @@ A microorganism is categorised as <em>Susceptible, Increased exposure</em> when
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

6
docs/reference/rsi_translation.html
View File

@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -235,7 +235,7 @@
<p>Data set to interpret MIC and disk diffusion to R/SI values. Included guidelines are CLSI (2011-2019) and EUCAST (2011-2020). Use <code><a href='as.rsi.html'>as.rsi()</a></code> to transform MICs or disks measurements to R/SI values.</p>
</div>
<pre class="usage"><span class='no'>rsi_translation</span></pre>
<pre class="usage"><span class='kw'>rsi_translation</span></pre>
<h2 class="hasAnchor" id="format"><a class="anchor" href="#format"></a>Format</h2>
@ -277,7 +277,7 @@
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

12
docs/reference/skewness.html
View File

@ -83,7 +83,7 @@ When negative: the left tail is longer; the mass of the distribution is concentr
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -237,16 +237,16 @@ When negative: the left tail is longer; the mass of the distribution is concentr
<p>When negative: the left tail is longer; the mass of the distribution is concentrated on the right of the figure. When positive: the right tail is longer; the mass of the distribution is concentrated on the left of the figure.</p>
</div>
<pre class="usage"><span class='fu'>skewness</span>(<span class='no'>x</span>, <span class='kw'>na.rm</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<pre class="usage"><span class='fu'>skewness</span>(<span class='kw'>x</span>, na.rm = <span class='fl'>FALSE</span>)
<span class='co'># S3 method for default</span>
<span class='fu'>skewness</span>(<span class='no'>x</span>, <span class='kw'>na.rm</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<span class='fu'>skewness</span>(<span class='kw'>x</span>, na.rm = <span class='fl'>FALSE</span>)
<span class='co'># S3 method for matrix</span>
<span class='fu'>skewness</span>(<span class='no'>x</span>, <span class='kw'>na.rm</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)
<span class='fu'>skewness</span>(<span class='kw'>x</span>, na.rm = <span class='fl'>FALSE</span>)
<span class='co'># S3 method for data.frame</span>
<span class='fu'>skewness</span>(<span class='no'>x</span>, <span class='kw'>na.rm</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)</pre>
<span class='fu'>skewness</span>(<span class='kw'>x</span>, na.rm = <span class='fl'>FALSE</span>)</pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
<table class="ref-arguments">
@ -291,7 +291,7 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>questioni
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>

16
docs/reference/translate.html
View File

@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9001</span>
</span>
</div>
@ -264,27 +264,27 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
<span class='co'># with get_locale()</span>
<span class='co'># English</span>
<span class='fu'><a href='mo_property.html'>mo_name</a></span>(<span class='st'>"CoNS"</span>, <span class='kw'>language</span> <span class='kw'>=</span> <span class='st'>"en"</span>)
<span class='fu'><a href='mo_property.html'>mo_name</a></span>(<span class='st'>"CoNS"</span>, language = <span class='st'>"en"</span>)
<span class='co'>#&gt; "Coagulase-negative Staphylococcus (CoNS)"</span>
<span class='co'># German</span>
<span class='fu'><a href='mo_property.html'>mo_name</a></span>(<span class='st'>"CoNS"</span>, <span class='kw'>language</span> <span class='kw'>=</span> <span class='st'>"de"</span>)
<span class='fu'><a href='mo_property.html'>mo_name</a></span>(<span class='st'>"CoNS"</span>, language = <span class='st'>"de"</span>)
<span class='co'>#&gt; "Koagulase-negative Staphylococcus (KNS)"</span>
<span class='co'># Dutch</span>
<span class='fu'><a href='mo_property.html'>mo_name</a></span>(<span class='st'>"CoNS"</span>, <span class='kw'>language</span> <span class='kw'>=</span> <span class='st'>"nl"</span>)
<span class='fu'><a href='mo_property.html'>mo_name</a></span>(<span class='st'>"CoNS"</span>, language = <span class='st'>"nl"</span>)
<span class='co'>#&gt; "Coagulase-negatieve Staphylococcus (CNS)"</span>
<span class='co'># Spanish</span>
<span class='fu'><a href='mo_property.html'>mo_name</a></span>(<span class='st'>"CoNS"</span>, <span class='kw'>language</span> <span class='kw'>=</span> <span class='st'>"es"</span>)
<span class='fu'><a href='mo_property.html'>mo_name</a></span>(<span class='st'>"CoNS"</span>, language = <span class='st'>"es"</span>)
<span class='co'>#&gt; "Staphylococcus coagulasa negativo (SCN)"</span>
<span class='co'># Italian</span>
<span class='fu'><a href='mo_property.html'>mo_name</a></span>(<span class='st'>"CoNS"</span>, <span class='kw'>language</span> <span class='kw'>=</span> <span class='st'>"it"</span>)
<span class='fu'><a href='mo_property.html'>mo_name</a></span>(<span class='st'>"CoNS"</span>, language = <span class='st'>"it"</span>)
<span class='co'>#&gt; "Staphylococcus negativo coagulasi (CoNS)"</span>
<span class='co'># Portuguese</span>
<span class='fu'><a href='mo_property.html'>mo_name</a></span>(<span class='st'>"CoNS"</span>, <span class='kw'>language</span> <span class='kw'>=</span> <span class='st'>"pt"</span>)
<span class='fu'><a href='mo_property.html'>mo_name</a></span>(<span class='st'>"CoNS"</span>, language = <span class='st'>"pt"</span>)
<span class='co'>#&gt; "Staphylococcus coagulase negativo (CoNS)"</span></pre>
</div>
<div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
@ -301,7 +301,7 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.9000.</p>
</div>
</footer>